Drugs, Health Technologies, Health Systems

Reimbursement Review

Durvalumab (Imfinzi), Carboplatin, Paclitaxel

Sponsor: AstraZeneca Canada Inc.

Therapeutic area: Endometrial cancer that is mismatch repair deficient (dMMR)

This multi-part report includes:

Clinical Review

Pharmacoeconomic Review

Clinical Review

Abbreviations

AE

adverse event

AESI

adverse event of special interest

BICR

blinded independent central review

CCRAN

Colorectal Cancer Resource & Action Network

CI

confidence interval

CR

complete response

dMMR

mismatch repair deficient

DOR

duration of response

ECOG

Eastern Cooperative Oncology Group

EORTC QLQ-C30

European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30

EORTC QLQ-EN24

European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire – Endometrial Cancer Module

ESS

effective sample size

FIGO

International Federation of Gynecology and Obstetrics

GOC

Gynecologic Oncology Society of Canada

GRADE

Grading of Recommendations Assessment, Development and Evaluation

HR

hazard ratio

HRQoL

health-related quality of life

IA

interim analysis

ICI

immune checkpoint inhibitor

IHC

immunohistochemistry

ITT

intention to treat

IVRS

interactive voice response system

MAIC

matching-adjusted indirect comparison

MID

minimal important difference

MMR

mismatch repair

MSI

microsatellite instability

MSI-H

microsatellite instability-high

MSS

microsatellite stable

OH (CCO)

Ontario Health (Cancer Care Ontario)

OR

odds ratio

ORR

objective response rate

OS

overall survival

PFS

progression-free survival

pMMR

mismatch repair proficient

PR

partial response

RCT

randomized controlled trial

RECIST

Response Evaluation Criteria in Solid Tumours

SAE

serious adverse event

SD

standard deviation

SLR

systematic literature review

SOC

standard of care

TDT

time to study treatment discontinuation or death

Executive Summary

An overview of the submission details for the drug under review is provided in Table 1.

Table 1: Background Information of Application Submitted for Review

Item

Description

Drug product

Durvalumab (Imfinzi) 50 mg/mL, concentrate for IV infusion

Sponsor

AstraZeneca Canada Inc.

Indication

Durvalumab in combination with carboplatin and paclitaxel for the first-line treatment of adults with primary advanced or recurrent mismatch repair deficient (dMMR) endometrial cancer who are candidates for systemic therapy, followed by durvalumab as monotherapy.

Reimbursement request

As per indication

Health Canada approval status

Pre-NOC

Health Canada review pathway

Standard

NOC date

January 17, 2025

Recommended dose

Durvalumab 1,120 mg in combination with platinum-based chemotherapy every 3 weeks (21 days) for a minimum of 4 and up to 6 cycles, followed by maintenance with 1,500 mg every 4 weeks as monotherapy until disease progression or unacceptable toxicity.

NOC = Notice of Compliance.

Introduction

Endometrial cancer is a type of uterine cancer originating in the lining of the uterus and is the most common gynecological malignancy,1 accounting for approximately 95% of uterine cancers.2 In Ontario, 2,909 new endometrial cancer cases were diagnosed in 2018, with an age-standardized incidence rate of 36.2 per 100,000.3 In 2024, the Canadian Cancer Society estimated that 8,600 females would be diagnosed with uterine cancer that year, and 1,600 would die from it.4 Endometrial cancer primarily affects females who are postmenopausal, with an average age at diagnosis of 60 years.5

Endometrial cancer is staged using the International Federation of Gynecology and Obstetrics (FIGO) system, ranging from stage I (tumour confined to the uterus), to stage IV (cancer has spread to bladder, bowel, or distant organs).6 In Canada, the overall 5-year net survival for uterine cancer is 82%, with stage-specific survival rates of 70% for stage I, 45% for stage II, 30% for stage III, and 15% for stage IV.7

The symptoms of advanced (stage III or IV) and recurrent (return following primary treatment) disease are variable, but include abnormal vaginal bleeding,8,9 pelvic or back pain, the presence of a palpable mass in the lower abdomen, and unintentional weight loss.8 Patients often experience additional issues like sexual dysfunction, anxiety, depression, and the long-term effects of chemotherapy, all of which further reduce health-related quality of life (HRQoL).1,10,11

The diagnosis of endometrial cancer involves clinical assessments, radiological imaging, and histopathological analysis of biopsy samples. For recurrent endometrial cancer cases, biopsies may help identify molecular subtypes of the cancer.12,13 Molecular testing during endometrial biopsy is crucial for treatment decisions and risk assessment.14 Endometrial cancer is characterized as microsatellite instability (MSI)-high (MSI-H), MSI-low, or microsatellite stable (MSS) based on MSI testing,15 and mismatch repair (MMR) proficient (pMMR) or MMR deficient (dMMR) based on MMR testing.16 According to the clinical experts consulted by the review team, MMR testing, assessed by immunohistochemistry (IHC), is currently performed as the standard of care (SOC) for patients with endometrial cancer in Canada.

Durvalumab is a fully human, high-affinity, immunoglobulin G1 kappa monoclonal antibody that selectively blocks the interaction of PD-L1, a protein expressed on tumour cells, with PD-1 and CD80 on T cells. PD-L1 binds to PD-1 and CD80 on T cells, inhibiting their activation and reducing their ability to detect and destroy cancer cells. The selective blockade of PD-L1 and PD-1 and PD-L1 and CD80 interactions releases the inhibition of immune responses and enhances antitumour immune responses.17,18 It is administered at 1,120 mg every 3 weeks in combination with platinum-based chemotherapy for 4 to 6 cycles. This is followed by maintenance therapy at 1,500 mg every 4 weeks, as monotherapy, until disease progression or unacceptable toxicity.19

Durvalumab was reviewed by Health Canada (Notice of Compliance issued January 17, 2025) as a first-line treatment for adult patients with primary advanced or recurrent endometrial cancer who are eligible for systemic therapy. The sponsor’s indication and reimbursement request is for durvalumab in combination with carboplatin and paclitaxel for the first-line treatment of adults with primary advanced or recurrent dMMR endometrial cancer who are candidates for systemic therapy, followed by durvalumab as monotherapy. Durvalumab was previously reviewed by Canada’s Drug Agency (CDA-AMC) for extensive-stage small-cell lung cancer; locally advanced, unresectable non–small cell lung cancer; biliary tract cancer; and unresectable hepatocellular carcinoma, all of which received conditional reimbursement recommendations.

The objective of this report is to review and critically appraise the evidence submitted by the sponsor on the beneficial and harmful effects of durvalumab (concentrate for solution for IV infusion, 50 mg/mL) in combination with platinum-based chemotherapy, followed by maintenance with durvalumab as monotherapy for the first-line treatment of patients with advanced or recurrent endometrial cancer that is dMMR.

Perspectives of Patients, Clinicians, and Drug Programs

The information in this section is a summary of input provided by the patient and clinician groups that responded to the call by CDA-AMC for input and by the clinical experts consulted for the purpose of this review.

Patient Input

One patient group, the Colorectal Cancer Resource & Action Network (CCRAN), in collaboration with the Canadian Cancer Survivor Network and HPV Global Action, submitted input on durvalumab for endometrial cancer. Information for this submission was gathered through outreach by CCRAN to 12 clinicians in Canada in September 2024, 17 US-based clinician investigators involved in the DUO-E clinical trial in October 2024, and the Society of Gynecologic Oncology and the Gynecologic Cancer Initiative. Additionally, HPV Global Action collaborated with several medical advisors to identify patients with experience using the therapy under review. These efforts led to 2 telephone interviews with patients with MSS endometrial cancer who participated in the DUO-E trial. Also, data from a 2023 online survey, which generated 6 responses and gathered information on the experiences of 4 patients, were used for this input.

The patient group input highlighted that patients with endometrial cancer face significant inequities, including research underfunding; rising incidence rates, particularly among females who are postmenopausal; and increasing mortality rates, despite advancements in oncology. According to the patient group input, a diagnosis of endometrial cancer is profoundly distressing, placing significant emotional strain on both patients and their caregivers and triggering fears related to personal health and family welfare.

Respondents to the survey reported using various treatment options, including radiation, surgical resection, targeted therapy, hormonal therapy, immunotherapy, chemotherapy, and complementary medicines. Common symptoms included neuropathy, fatigue, vaginal dryness, itching, burning sensations, changes in sexual function, fluid retention, nausea, constipation, and cognitive impairment known as “chemo brain.” Many patients described chemotherapy as “tough,” with significant nausea and fatigue impacting daily life. The effects of treatment often extend to sexual health, which is frequently overlooked in clinical care and research.

The input highlighted that early-stage endometrial cancer is typically treated with surgery, often combined with chemotherapy, radiation, or hormone therapy. However, treatment options for patients with recurrent or metastatic endometrial cancer are limited, and the prognosis remains poor due to stagnant access to new therapeutics over the past decades. Patient groups highlighted an urgent unmet need for additional precision therapeutics in advanced or recurrent endometrial cancer in Canada, with 60% of patients with endometrial cancer ranking “prolong life” as the most important issue they hope new treatments will address.

The 2 patients who participated in telephone interviews shared their experiences with durvalumab in combination with olaparib during the DUO-E trial, reporting complete responses (CRs) and minimal side effects, while a third patient receiving durvalumab treatment in Australia highlighted the positive impact of targeted therapies on their quality of life.

Clinician Input

Input From the Clinical Experts Consulted for This Review

The clinical experts consulted for this review noted that the goals of treatment for advanced or metastatic endometrial cancer are to improve quality of life by reducing pain and suffering, improve disease-related symptoms, control the cancer proliferation, and improve survival, if possible. They noted that achieving a longer duration of response would be strongly linked to improvement in relevant patient outcomes. In dMMR endometrial cancer, 1 expert noted that between 20% and 40% of patients do not experience a response to the current first-line treatment paradigm; for context, they noted that, in general, approximately 40% of patients are not expected to experience a response to chemotherapy, and the duration of response (DOR) to chemotherapy alone is often very short. While the addition of an immune checkpoint inhibitor (ICI) improves the overall treatment response rate, it has the most significant impact on the improvement in DOR. The unmet needs in patients with dMMR endometrial cancer include better identification of potential nonresponders, determining the therapy their cancer might respond to, and determining the ideal duration of maintenance treatment among the patients with cancer that does respond to therapy.

The experts indicated that durvalumab would be an additional first-line ICI option, alongside dostarlimab, that could be added to chemotherapy and used as maintenance monotherapy in patients with dMMR endometrial cancer. In general, the clinical experts noted that the choice of ICI is often based on availability but, when multiple approved options are available, any of them could be offered. If a patient did not experience a response to ICI therapy, the clinical experts noted it was unlikely they would trial the drug class again; however, if a patient had a recurrence more than 12 months after therapy and had previously experienced a response, then re-treatment might be considered.

The clinical experts noted that the DUO-E trial results did not identify specific molecular subtypes of cancer (beyond dMMR) that could respond to the new treatments; therefore, all patients who meet the other clinical trial criteria would likely be candidates for treatment with durvalumab.

According to the experts, the outcomes from the DUO-E trial corresponded to standard clinical assessments, with the exception of HRQoL measures, which are not routinely used in clinical practice. In general, symptomatic benefit would be assessed every cycle through conversations with the patient, and radiologic treatment response would be assessed every 2 to 3 cycles. They noted that the ideal outcome to assess response would be survival but, in the face of measurable disease, achieving stability (i.e., prolongation of progression-free survival [PFS]) while being tolerated well would be a minimum response to continue therapy. They indicated that the definition of a treatment benefit may vary across physicians and patients.

Disease progression and serious adverse events (SAEs) would be grounds to discontinue therapy, according to the experts. Examples of SAEs could include grade 3 or 4 toxicities such as hepatitis, colitis, or pneumonitis, as well as any other significant immune-related toxicity. Both clinical experts agreed that an oncologist or specialist in administering chemotherapy or biologic therapy would be essential to manage the complexities of treatment toxicity.

Clinician Group Input

Two inputs, 1 from the Ontario Health (Cancer Care Ontario) (OH [CCO]) Gynecologic Cancer Drug Advisory Committee (7 clinicians contributed to the input) and 1 from the Gynecologic Oncology Society of Canada (GOC) (1 clinician contributed to the input) were provided for this review. The OH (CCO) input was gathered through conference calls and emails, while the GOC input was based on data from completed clinical trials and expert opinions from board members on treating advanced or recurrent endometrial cancer.

According to the clinician groups, treatment for dMMR endometrial cancer involves platinum-based chemotherapy (carboplatin and paclitaxel) and radiation, with pembrolizumab funded for recurrent dMMR disease after failure of chemotherapy. There are no publicly funded first-line immunotherapies for patients with dMMR endometrial cancer, although compassionate access to dostarlimab in combination with chemotherapy is available.

The clinician groups agreed with the experts consulted for this review that the primary treatment goals are to prolong survival, delay disease progression, control symptoms, improve HRQoL and, when possible, cure the disease. Both the clinician input and the clinical experts agreed that chemotherapy alone fails to provide a durable response in patients with dMMR endometrial cancer. The input from both the clinician groups and the clinical experts also agreed that durvalumab would be suitable as a first-line option for patients with advanced (stage III or IV) or recurrent endometrial cancer. They also noted that patients with dMMR endometrial cancer can receive durvalumab treatment without prior chemotherapy.

The clinician groups agreed that treatment response is assessed through imaging (CT or MRI) and clinical evaluations. The GOC added that tolerability is evaluated before each treatment cycle (i.e., every 3 weeks) with radiologic assessments every 6 to 9 weeks. A clinically meaningful response includes tolerable toxicity and improved PFS.

The clinician groups indicated that treatment may be withheld due to disease progression and intolerable toxicity or adverse events (AEs). The GOC further mentioned that such decisions could also be related to patient preference. In line with the clinical experts consulted for this review, the clinician groups stated that durvalumab plus carboplatin and paclitaxel should be administered in an outpatient setting and is best prescribed by specialist physicians experienced in systemic therapy.

Drug Program Input

Input was obtained from the drug programs that participate in the CDA-AMC Reimbursement Review process. The following were identified as key factors that could potentially impact the implementation of a recommendation for durvalumab combined with carboplatin and paclitaxel followed by durvalumab monotherapy:

The clinical experts provided advice on the potential implementation issues raised by the drug program input. Refer to Table 5 for more details.

Clinical Evidence

Systematic Review

Description of Studies

The DUO-E study is an ongoing phase III, multicentre, double-blind, placebo-controlled randomized controlled trial (RCT) of durvalumab in combination with platinum-based chemotherapy (carboplatin and paclitaxel) followed by maintenance with durvalumab monotherapy or with durvalumab in combination with olaparib in patients with recurrent or newly diagnosed advanced endometrial cancer compared with SOC alone (carboplatin and paclitaxel). Enrolment for the DUO-E study ended in March 2022; however, treatment and follow-up are still ongoing. In total, 718 patients were randomized 1:1:1 to SOC (arm A; N = 241), durvalumab plus SOC (arm B; N = 239), or durvalumab plus olaparib plus SOC (arm C; N = 238). In the chemotherapy phase, arm A received a regimen of platinum-based chemotherapy consisting of carboplatin and paclitaxel plus durvalumab placebo for 6 cycles; after the chemotherapy phase, patients who had no evidence of progressive disease then received maintenance-phase therapy consisting of durvalumab placebo IV every 4 weeks plus olaparib placebo tablets twice daily. Patients in arms B and C received the same platinum-based chemotherapy as those in the SOC arm plus durvalumab for 6 cycles, then arm B received maintenance-phase therapy consisting of durvalumab plus olaparib placebo tablets twice daily, while arm C received both durvalumab and olaparib. The primary end point of the DUO-E study was PFS, with secondary end points consisting of overall survival (OS), objective response rate (ORR), DOR, time to study treatment discontinuation or death (TDT), and HRQoL.

Of note, the DUO-E trial randomized patients with pMMR and dMMR status to all 3 study arms. To align with the Health Canada indication and reimbursement request (durvalumab in combination with carboplatin and paclitaxel in patients with dMMR endometrial cancer, followed by maintenance durvalumab), this Clinical Review Report focuses only on the population of patients from the DUO-E trial with dMMR endometrial cancer who received durvalumab in combination with carboplatin and paclitaxel (i.e., only a subset of the patients included in arm B of the DUO-E study).

Efficacy Results
Progression-Free Survival

In the dMMR subgroup, there were a total of 25 PFS-related events in the SOC arm (51.0%; N = 49 patients) and 15 PFS-related events in the SOC plus durvalumab arm (32.6%; N = 46 patients). There were ██████ censored deaths in the SOC arm and ██████ in the SOC plus durvalumab arm. The median PFS in the SOC arm was 7.0 months (95% confidence interval [CI], 6.7 to 14.8), while the median PFS was not calculable in the SOC plus durvalumab arm (hazard ratio [HR], 0.42; 95% CI, 0.22 to 0.80 in favour of durvalumab). The risk difference between study arms for the proportion of patients with progression-free disease was █████ (95% CI, ████ ██ ██████) at 6 months; █████ (95% CI, ████ ██ ██████) at 12 months; and █████ (95% CI, █████ ██ ██████) at 18 months.

Overall Survival

In the dMMR subgroup, there were a total of ██ ███████ deaths in the SOC arm and ███████ deaths in the SOC plus durvalumab arm. The median OS in the SOC arm was ████ months (95% CI ███ ██████████), while the median OS was ███ ██████████ in the SOC plus durvalumab arm (HR, ████; 95% CI, ████ ██ ████ in favour of durvalumab). The risk difference between study arms for the proportion of patients who were alive was █████ (95% CI, █████ ██ ██████) at 6 months, ████% (95% CI, ████ ██ █████) at 12 months, and █████ (95% CI, ████ ██ ██████) at 18 months.

Objective Response Rate

In the dMMR subgroup, a total of ██ patients (████%) had a response out of ██ patients with measurable disease at baseline in the SOC arm, and ██ patients (████%) had a response out of ██ with measurable disease at baseline in the SOC plus durvalumab arm. The odds ratio (OR) for response was ████ (95% CI, ████ ██ ████) in favour of durvalumab.

Duration of Response

In the dMMR subgroup, patients (████%) out of the ██ patients in the SOC arm who experienced a response subsequently died or experienced disease progression. The median DOR (measured from the onset of response) was 10.5 months. Out of the ██ patients in the SOC plus durvalumab arm who experienced a response, patients (████%) subsequently died or experienced disease progression; the median DOR was not calculable. The difference between study arms for the proportion of patients who continued to experience a response was ████% (95% CI, ████% to ████%) at 6 months, ████% (95% CI, █████ ██ ████%) at 12 months, and ████% (95% CI, █████ ██ ████%) at 18 months.

Time to Treatment Discontinuation or Death

In the dMMR subgroup, ██ ███████ patients in the SOC arm and ██ ███████ patients in the SOC plus durvalumab arm had an event of treatment discontinuation or death (HR, ████; 95% CI, ████ ██ ████ in favour of durvalumab).

European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30

The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire Core 30 (EORTC QLQ-C30) functional scales range from 0 to 100, with higher scores indicating better functioning. In the dMMR subgroup, the mean baseline score was █████ points (standard deviation [SD] = █████) in the SOC arm and █████ points (SD = █████) in the SOC plus durvalumab arm. At week 18 (corresponding to the sixth cycle of the chemotherapy phase), the mean change in score from baseline was ██████ points (SD = █████) in the SOC arm (N = ██) and █████ points (SD = █████) in the SOC plus durvalumab arm (N = ██). The absolute mean difference between study arms was █████ points (95% CI, –█████ ██ ████). At week 42 (corresponding to the sixth month of the maintenance phase), the mean change in scores from baseline was ██████ points (SD = █████) in the SOC arm (N = ██) and ████ points (SD = █████) in the SOC plus durvalumab arm (N = ██). The absolute mean difference between study arms was █████ points (95% CI, ████ ██ █████).

EORTC Quality of Life Questionnaire – Endometrial Cancer Module Pain in Back and Pelvis Score

The EORTC Quality of Life Questionnaire – Endometrial Cancer Module (EORTC QLQ-EN24) functional scales range from 0 to 100, with higher scores indicating better functioning, and the 10 symptom scales range from 0 to 100, with higher scores indicating more severe symptoms. In the dMMR subgroup, the mean baseline score was █████ points (SD = █████) in the SOC arm and █████ points (SD = █████) in the SOC plus durvalumab arm. At week 18, the mean change in score from baseline was ████ points (SD = █████) in the SOC arm (N = ██) and ████ points (SD = █████) in the SOC plus durvalumab arm (N = ██). The absolute mean difference between study arms was ████ points (95% CI, █████ ██ █████). At week 42, the mean change in scores from baseline was █████ points (SD = █████) in the SOC arm (N = ██) and ████ points (SD = █████) in the SOC plus durvalumab arm (N = ██). The absolute mean difference between study arms was ████ points (95% CI, █████ ██████).

EORTC QLQ-EN24 Urological Symptoms Score

In the dMMR subgroup, the mean baseline score was █████ points (SD = █████) in the SOC arm and █████ points (SD = █████) in the SOC plus durvalumab arm. At week 18, the mean change in score from baseline was ████ points (SD = █████) in the SOC arm (N = ██) and █████ points (SD = █████) in the SOC plus durvalumab arm (N = ██). The absolute mean difference between study arms was ████ points (95% CI, █████ ██████). At week 42, the mean change in scores from baseline was ████ points (SD = █████) in the SOC arm (N = ██) and ████ points (SD = █████) in the SOC plus durvalumab arm (N = ██). The absolute mean difference between study arms was ████ points (95% CI, █████ ██ ████).

Harms Results
Adverse Events

In the dMMR subgroup, all patients in each study arm experienced an AE during the DUO-E trial. A total of ████% of patients in the SOC arm and ████% of patients in the SOC plus durvalumab arm experienced an AE with a maximum grade of 3 or 4. The most common AEs were nausea (████% of patients in the SOC plus durvalumab arm, ████% of patients in the SOC arm), alopecia (█████ in the SOC plus durvalumab arm, █████ in the SOC arm), arthralgia (█████ in the SOC plus durvalumab arm, █████ in the SOC arm), and anemia (█████ in the SOC plus durvalumab arm, █████ in the SOC arm).

There were differences between study arms in the proportion of patients with several AEs. Of note, a numerically higher proportion of patients in the SOC plus durvalumab arm reported nausea (█████ versus █████ in the SOC arm), alopecia (█████ versus █████ in the SOC arm), arthralgia (█████ versus █████ in the SOC arm), hypomagnesemia (█████ versus █████ in the SOC arm), cough (█████ versus █████ in the SOC arm), peripheral neuropathy (█████ versus █████ in the SOC arm), dyspnea (█████ versus ████ in the SOC arm), and injury, poisoning, or procedural complications (█████ versus █████ in the SOC arm).

Serious Adverse Events

In the dMMR subgroup, a total of █████ patients in the SOC arm and █████ patients in the SOC plus durvalumab arm experienced an SAE during the DUO-E trial. The most common SAEs were as follows: gastrointestinal disorders (█████ in the SOC plus durvalumab arm consisting of reports of fecaloma and report each of abdominal hernia, colitis, intestinal obstruction, and nausea, and ███% in the SOC arm consisting of report each of diarrhea, nausea, and vomiting), blood and lymphatic system disorders (████% in the SOC arm consisting of reports of anemia, reports of febrile neutropenia, and reports of neutropenia, and ███% in the SOC plus durvalumab arm consisting of report of autoimmune hemolytic anemia), infections and infestations (███% in the SOC arm consisting of report each of COVID-19, neutropenic sepsis, urinary tract infection and urosepsis, and ███% in the SOC plus durvalumab arm consisting of report each of appendicitis, gastroenteritis, and sepsis), and renal and urinary disorders (███% in the SOC arm consisting of report each of acute kidney injury, renal failure, ureteric obstruction and urinary bladder hemorrhage, and % in the SOC plus durvalumab arm).

Withdrawals Due to Adverse Events

In the dMMR subgroup. a total of ████% of patients experienced AEs leading to the withdrawal of durvalumab in the SOC plus durvalumab arm, and ████% reported this in the SOC arm (durvalumab placebo). In the SOC plus durvalumab arm, the reasons for discontinuation were anemia, interstitial lung disease, maculopapular rash, symmetric drug-related intertriginous and flexural exanthema, fatigue, and procedural pain (each reported in patient). In the SOC arm, the reasons for discontinuation of durvalumab placebo were anemia ( patients), cerebrovascular accident, tinnitus, and asthenia (each reported in patient). A total of ████% of patients in the SOC plus durvalumab arm and ███% of patients in the SOC arm experienced an AE leading to discontinuation of SOC.

Mortality

In the dMMR subgroup, a total of ██ ███████ patients died in the SOC arm and ███████ patients died in the SOC plus durvalumab arm. The submission did not provide details on the specific causes of death in patients in the dMMR subgroup.

Notable Harms

Immune-mediated AEs (exact conditions not specified) and infusion reactions were identified by the clinical experts as adverse events of special interest (AESIs). In the dMMR subgroup, ████% of patients experienced an immune-mediated AE in the SOC plus durvalumab arm and ████% experienced this in the SOC arm. A total of ███% of patients experienced infusion reactions in the SOC plus durvalumab arm compared with ████% of patients in the SOC arm.

A total of ████% of patients in the SOC plus durvalumab arm and ████% of patients in the SOC arm experienced an AESI for durvalumab (or its placebo). The most common AEs in both arms were diarrhea (████% in the SOC plus durvalumab arm, ████% in the SOC arm) and rash (████% in the SOC plus durvalumab arm, ████% in the SOC arm). Hypothyroidism (████% of patients) was the next most common AE in the SOC plus durvalumab arm, and hyperthyroidism (███% of patients) was the next most common AE in the SOC arm.

Critical Appraisal

The DUO-E study is an ongoing phase III trial assessing the efficacy and safety of durvalumab plus SOC compared with SOC alone in the treatment of primary advanced or recurrent endometrial cancer. Despite the adequate randomization, concealment, and blinding, there were numerically higher numbers of patients in the SOC arm who discontinued treatment relative to the number in the SOC plus durvalumab arm, which suggests the possibility that patients may have become unblinded to their treatment assignment and discontinued treatment more readily than those in the SOC plus durvalumab arm. As part of the study design, patients with no evidence of progressive disease during the 6-cycle chemotherapy phase were eligible to proceed to the maintenance phase. Results separating the efficacy outcomes in the chemotherapy and maintenance phases were not provided; thus, the impact of the chemotherapy phase versus the maintenance phase individually on response to treatment remains unknown. The design of the DUO-E trial included patients with either dMMR and pMMR endometrial cancer. However, given the Health Canada indication and reimbursement request, the focus of this review is on the subgroup of patients with dMMR endometrial cancer. Therefore, all results focusing on the dMMR subgroup can only be considered exploratory and supportive of the overall effect of durvalumab. Furthermore, the subgroup was not controlled for multiple comparisons and there is an increased risk of type I error, which is particularly important, given that the sample sizes in each study arm were small. The results from the DUO-E trial were from an interim analysis (IA), and the P value cut-off for the IA of the subgroups themselves is not known; this carries an increased risk of overestimating the true effect. While the primary end point was reached for the intention-to-treat (ITT) population, the median PFS and OS were not estimable for the dMMR subgroup in the respective analyses. In the ITT population, this analysis was based on an information fraction of 61.0% while, in the dMMR subgroup, only ████% of PFS events had occurred, suggesting the data were immature, particularly for OS. As a result, there is increased uncertainty in the PFS and OS results, and it is therefore unclear how confidently the long-term results associated with durvalumab can be predicted. For the HRQoL end points, the baseline estimates and the estimates at weeks 18 and 42 have a substantial amount of missing data. The end points were analyzed using a mixed model for repeated measures, which assumes the missing data are missing at random; however, given the nature of the disease and the design of the trial, the missing-at-random assumption is not appropriate. Because patients are censored at disease progression or death, among other reasons, it is likely that these patients are systematically different from the patients who are included in the analysis; thus, there is a likelihood of bias in the results.

Per the clinical experts, the inclusion and exclusion criteria were broadly representative of patients who would be candidates for durvalumab. However, the study is subject to some limitations impacting external validity. The results of patient screening were not available for the dMMR subgroup; therefore, the reasons for screening failure and the distribution of screening failures between study arms is not known, so it is unclear whether there are systematic differences between the patients who failed screening and those who did not. Similarly, the exact causes of death in participants who died during the study were not reported, and it is therefore not known whether there are systematic differences between the patients who died and those who did not. Patients with an Eastern Cooperative Oncology Group (ECOG) status greater than 1 were not included in the trial; however, according to the clinical experts consulted for this review, these patients would likely be considered for treatment with durvalumab in clinical practice. Apart from this, the study did not assess whether other molecular subtypes (e.g., POLE mutation, HER expression, p53 mutation) would have an impact on the results observed. The clinical experts noted that additional molecular classifications are usually undertaken in clinical practice and that there is a proportion of patients with dMMR cancer that does not respond to current ICI therapy, the reason for which is not always clear. Therefore, it is possible the same nonresponder population may also exist for patients treated with durvalumab.

GRADE Summary of Findings and Certainty of the Evidence

For the pivotal studies and RCTs identified in the sponsor’s systematic review, the Grading of Recommendations Assessment, Development and Evaluation (GRADE) was used to assess the certainty of the evidence for outcomes considered most relevant to inform expert committee deliberations, and a final certainty rating was determined as outlined by the GRADE Working Group.20,21

Following the GRADE approach, the evidence from the RCTs started as high-certainty evidence and could be rated down for concerns related to study limitations (which refer to internal validity or risk of bias), inconsistency across studies, indirectness, imprecision of effects, and publication bias.

When possible, certainty was rated in the context of the presence of an important (nontrivial) treatment effect; if this was not possible, certainty was rated in the context of the presence of any treatment effect (i.e., the clinical importance is unclear). In all cases, the target of the certainty-of-evidence assessment was based on the point estimate and where it was located relative to the threshold for a clinically important effect (when a threshold was available) or to the null. For the PFS and OS outcomes, the target of the assessment was the presence or absence of an important effect based on thresholds provided by the clinical experts. For the HRQoL outcomes, the target of the assessment was the presence or absence of any effect based on a null threshold.

The selection of outcomes for GRADE assessment was based on the sponsor’s summary of clinical evidence, consultation with clinical experts, and the input received from patient and clinician groups and public drug plans. The following list of outcomes was finalized in consultation with expert committee members:

Table 2: Summary of Findings for Durvalumab in Combination With Carboplatin-Paclitaxel Versus Placebo in Combination With Carboplatin-Paclitaxel for Patients With Primary Advanced or Recurrent dMMR Endometrial Cancer

Outcome and follow-up

Patients

(studies), N

Absolute effects (95% CI)

Certainty

What happens

SOC

SOC + durvalumab

Difference

Survival outcomes

Progression-free survivala

Proportion of patients whose cancer is progression-free at 12 months

Median follow-up:b ██ ███ ███

95 (1 RCT)

███ ██

███ ███ ████ █████ ██ ███

███ ███ ███ ████ ██ ███

Lowd,e

Durvalumab in combination with carboplatin and paclitaxel, followed by durvalumab monotherapy, may result in an increase in the proportion of patients whose cancer is progression-free at 12 months when compared with carboplatin and paclitaxel alone.

Proportion of patients whose cancer is progression-free at 18 months

Median follow-up:b ██ ███ ███ ██

95 (1 RCT)

███ ███

███ ███ ████ ██

███ ███ ██

Lowd,e

Durvalumab in combination with carboplatin and paclitaxel, followed by durvalumab monotherapy, may result in an increase in the proportion of patients whose cancer is progression-free at 18 months when compared with carboplatin and paclitaxel alone.

Overall survivala

Proportion of patients who are alive at 12 months

Median follow-up:b ██ ███ ████

95 (1 RCT)

███ ███

███ ███ ████ ██

███ ███ ██

Lowf,g

Durvalumab in combination with carboplatin and paclitaxel, followed by durvalumab monotherapy, may result in an increase in the proportion of patients who are alive at 12 months when compared with carboplatin and paclitaxel alone.

Proportion of patients who are alive at 18 months

Median follow-up: b ██ ███ ████

95 (1 RCT)

███ ██

███ ███ ████ ██

███ ███ ██

Lowf,g

Durvalumab in combination with carboplatin and paclitaxel, followed by durvalumab monotherapy, may result in an increase in the proportion of patients who are alive at 18 months when compared with carboplatin and paclitaxel alone.

Health-related quality of lifea

EORTC QLQ-C30 global health status score (100 = best; 0 = worst)c

Change from baseline, points

Follow-up: ██ █████

95 (1 RCT)

███ ███

███ ███ ████ ██

███ ███ █

Very lowh,i

The evidence is very uncertain about the effect of durvalumab in combination with carboplatin and paclitaxel followed by durvalumab monotherapy on the change in EORTC QLQ-C30 global health status score from baseline to 18 weeks when compared with carboplatin and paclitaxel alone.

Change from baseline, points

Follow-up: ██ █████

95 (1 RCT)

███ ███

███ ███ ████ ██

███ ███ █

Lowi

Durvalumab in combination with carboplatin and paclitaxel, followed by durvalumab monotherapy, may result in an increase in EORTC QLQ-C30 global health status score from baseline to 42 weeks when compared with carboplatin and paclitaxel alone.

EORTC QLQ-EN24 pain in back and pelvis score (100 = best; 0 = worst)c

Change from baseline, points

Follow-up: ██ █████

95 (1 RCT)

█████

████████████

█████████

Very lowh,i

The evidence is very uncertain about the effect of durvalumab in combination with carboplatin and paclitaxel, followed by durvalumab monotherapy, on the change in EORTC QLQ-C30 global health status score from baseline to 18 weeks when compared with carboplatin and paclitaxel alone.

Change from baseline, points

Follow-up: ██ █████

95 (1 RCT)

██████

██████████

█████████

Very lowh,i

The evidence is very uncertain about the effect of durvalumab in combination with carboplatin and paclitaxel, followed by durvalumab monotherapy, on the change in EORTC QLQ-C30 global health status score from baseline to 42 weeks when compared with carboplatin and paclitaxel alone.

EORTC QLQ-EN24 urological symptoms score (100 = best; 0 = worst)c

Change from baseline, points

Follow-up: ██ █████

95 (1 RCT)

██████

███████████

█████████

Very lowh,i

The evidence is very uncertain about the effect of durvalumab in combination with carboplatin and paclitaxel, followed by durvalumab monotherapy, on the change in EORTC QLQ-C30 global health status score from baseline to 18 weeks when compared with carboplatin and paclitaxel alone.

Change from baseline, points

Follow-up: ██ █████

95 (1 RCT)

██████

███████████

████████

Very lowh,i

The evidence is very uncertain about the effect of durvalumab in combination with carboplatin and paclitaxel, followed by durvalumab monotherapy, on the change in EORTC QLQ-C30 global health status score from baseline to 42 weeks, when compared with carboplatin and paclitaxel alone.

Harms

Proportion of patients with immune-mediated adverse events

Follow-up: ███ █████

95 (1 RCT)

███ ███

███ ███ ████

██ █████

Lowj

Durvalumab in combination with carboplatin and paclitaxel, followed by durvalumab monotherapy, may result in an increase in the proportion of patients with immune-mediated adverse events when compared with carboplatin and paclitaxel alone.

Proportion of patients with infusion reactions

Follow-up: ███ █████

95 (1 RCT)

███ ███

██ ███ ████ ██

██ █████

Very lowj

The evidence is very uncertain about the effect of durvalumab in combination with carboplatin and paclitaxel, followed by durvalumab monotherapy, on the proportion of patients with infusion reactions when compared with carboplatin and paclitaxel alone.

CI = confidence interval; dMMR = mismatch repair deficient; EORTC QLQ-C30 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30; EORTC QLQ-EN24 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire – Endometrial Cancer Module; HRQoL = health-related quality of life; NR = not reported; OS = overall survival; PFS = progression-free survival; RCT = randomized controlled trial; SOC = standard of care.

Note: Study limitations (which refer to internal validity or risk of bias), inconsistency across studies, indirectness, imprecision of effects, and publication bias were considered when assessing the certainty of the evidence. All serious concerns in these domains that led to the rating down of the level of certainty are documented in the table footnotes.

aIn the trial, testing for this outcome in the dMMR subgroup was not adjusted for multiplicity. The results are considered supportive evidence.

bFollow-up presented as durvalumab + carboplatin and paclitaxel vs. placebo + carboplatin and paclitaxel.

cAdditional information was requested from the sponsor to obtain absolute differences and 95% CIs. This information was not necessarily part of the sponsor’s statistical plan and is considered exploratory evidence.

dRated down 1 level for serious indirectness. At the time of data cut-off, median PFS was not reached and the study did not meet the primary end point in the dMMR subgroup. This implies that the PFS data are immature and there is high uncertainty in the trends observed to date; therefore, the confidence with which the results predict the outcome in the long-term is not clear.

eRated down 1 level for serious imprecision. Based on a nontrivial target certainty assessment with a minimal important difference threshold of 150 per 1,000 at 12 months and 100 per 1,000 at 18 months provided by the clinical experts, the point estimate of the effect is larger than the threshold but the 95% CI includes the possibility of a trivial effect as well as a nontrivial effect at 12 months, the number of PFS events in each arm were not provided by the sponsor, and the sample size is very small, raising concern for prognostic imbalance and potential overestimation of the true effect.

fRated down 1 level for serious indirectness. At the time of data cut-off, median OS was not reached and the study did not meet the secondary end point in the dMMR subgroup. This implies that the OS data are immature and there is high uncertainty in the trends observed to date; therefore, the confidence with which the results predict the outcome in the long-term is not clear.

gRated down 1 level for serious imprecision. Based on a nontrivial target certainty assessment with a minimal important difference threshold of 100 per 1,000 provided by the clinical experts, the point estimate of the effect is larger than the threshold but the 95% CI includes the possibility of a trivial effect as well as a nontrivial effect, the number of OS events at 12 months and 18 months in each arm were not provided by the sponsor, and the sample size is very small, raising concern for prognostic imbalance and potential overestimation of the true effect.

hRated down 2 levels for serious study limitations. A considerable amount of patient data was missing at the time points and, based on the study design, it is likely that the missingness is informative.

IRated down 1 level for serious imprecision. Based on a non-null target certainty assessment, the CI for the estimate contains the possibility of reduced HRQoL as well as improved HRQoL.

jRated down 2 levels for very serious imprecision due to the small number of events in a small patient population and the lack of specified follow-up duration.

Sources: Details included in the table are from the sponsor’s summary of clinical evidence22 and additional information provided by the sponsor.23,24

Long-Term Extension Studies

The submission did not contain any long-term extension studies.

Indirect Comparisons

The DUO-E trial included SOC chemotherapy (carboplatin and paclitaxel) but did not include a comparison with dostarlimab, a relevant first-line comparator for patients with dMMR endometrial cancer, and information from indirect comparisons was included in the pharmacoeconomic model. Therefore, a review of the indirect evidence was undertaken. The body of indirect evidence consisted of 2 sponsor-submitted multiple-adjusted indirect comparisons (MAICs).

Description of Studies

A systematic literature review (SLR) was conducted with a focus on systemic anticancer treatments and which excluded all other therapies. The patient population of interest comprised those newly diagnosed with stage III or IV disease or recurrent disease who were either naive to first-line therapy or had been treated with 1 prior line of chemotherapy. The submission did not provide details on the date when the SLR was conducted, the range of publication dates that were used in the search terms, or the search terms used.

An anchored MAIC was performed using a frequentist approach and Bucher methodology. The treatment effects for the 2 efficacy outcomes, PFS and OS, were reported as HRs and associated 95% CIs for SOC plus durvalumab versus SOC plus dostarlimab, with an HR of less than 1 favouring SOC plus durvalumab. For the safety end points, the ORs were calculated for SOC plus durvalumab versus SOC plus dostarlimab, with ORs of less than 1 favouring SOC plus durvalumab. ORs were estimated from AE frequency data and the number of patients included in the safety analysis sets.

Efficacy Results

The submission did not provide a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) diagram of the results from the SLR but reported that the SLR identified 2 phase III, double-blind, placebo-controlled RCTs relevant to the indirect treatment comparison: the DUO-E study and the RUBY Part 1 study. Differences were noted in the median duration of follow-up as well as the molecular characteristics of the patients’ cancer; the primary analysis for the MAICs used data from the post hoc subgroup of the DUO-E trial, which contained only patients with dMMR and/or MSI-H cancer (and therefore could contain patients with MSI-H pMMR endometrial cancer), and the main analysis in the RUBY Part 1 study enrolled patients who had either dMMR or MSI-H tumours. The submission did not provide a breakdown of other baseline characteristics before and after matching. Of note, after the matching procedure, minor differences remained in the proportion of patients who were Black or African American (███% in the DUO-E study after weighting, and 8.5% in the RUBY Part 1 study), and the proportion of patients who were aged 65 years and older (████% in the DUO-E trial after weighting, and 49.2% in the RUBY Part 1 study).

The results for PFS from the anchored, weighted MAIC suggested there was insufficient evidence to detect a difference between durvalumab plus SOC and dostarlimab plus SOC (adjusted HR, ████ ████ ███ ████ ██ ██████; effective sample size [ESS] = ████). Similarly, the results of OS using the anchored, unweighted MAIC suggested there was insufficient evidence to detect a difference between durvalumab plus SOC and dostarlimab plus SOC (adjusted HR, ████ ████ ███ ████ ██ ██████).

Harms Results

The harms results from the anchored, unweighted MAIC suggested there was insufficient evidence to detect a difference between durvalumab plus SOC and dostarlimab plus SOC for AEs leading to discontinuation (adjusted OR, ████ ████ ███ ████ ██ ████) and any SAEs (adjusted OR, ████ ████ ███ ████ ██ █████); however, for grade 3 or greater AEs, durvalumab plus SOC was favoured over dostarlimab plus SOC (adjusted OR, ████ ████ ███ ████ ██ ███████).

Critical Appraisal

The procedures as described for screening, data extraction, and the quality assessment steps used were considered generally accepted methods. However, the date on which the SLR was undertaken is not provided, and it is not known whether the most recent publications on any relevant comparators would have been captured in the search. The submission did not provide the results of the quality assessment; therefore, the risk of bias in the studies is not known. However, because the DUO-E and RUBY Part 1 trials were phase III trials, the risk of bias may be lower. For both MAIC analyses, data from a subgroup of the RUBY Part 1 study and a subgroup from the DUO-E trial were used (patients with dMMR and/or MSI-H cancer). In the case of the DUO-E trial, this resulted in the inclusion of some patients with pMMR MSI-H cancer in the subgroup used for the analysis, which is likely to somewhat bias the results because MMR status is a known treatment-effect modifier. The 2 studies also differ considerably in the median follow-up time because the follow-up in the RUBY Part 1 study was longer than in the DUO-E trial (twice as long follow-up time for PFS). This increases the likelihood of bias to possibly favour durvalumab because there was a shorter follow-up period over which events could accrue. Lastly, in both studies, the subgroup arms had small sample sizes and a low number of events, which impacts the power of the analysis. In addition, other baseline characteristics not included in the matching were not reported and, therefore, it is not known whether there are other potential sources of confounding in these characteristics. There were also no details reported on model fit, convergence, or model selection, which is another potential source of bias or uncertainty.

In addition to the limitations in the comparability of the studies and matching, there are additional limitations specific to each efficacy outcome. The MAIC for PFS was a weighted, anchored MAIC, and the weighting procedure was largely able to balance the baseline characteristics reported. However, the ESS was approximately ███ smaller (N = ████) than the number of patients prematching (N = ███), suggesting that data from a smaller number of patients may be driving the results, which increases the imprecision. These results are subject to high uncertainty due to the limitations in the comparability of the studies as well as the limitations around the size of the ESS. The analyses undertaken for OS and harms were unweighted, anchored MAICs, which did not employ the propensity score measurement process to reweight the results and was considered a naive comparison of the DUO-E and RUBY Part 1 trials. For OS, this was due to the small number of events observed (8 events for dMMR or MSI-H in SOC plus durvalumab and 7 events for SOC plus dostarlimab), which would generate potentially unstable results if reweighted and compared using MAIC methodology. There were still notable differences between the 2 studies at baseline, and it is not known how the sample size in the 2 studies compares with the sample in the MAIC for OS. It is highly likely that not all possible effect modifiers were controlled for in the analysis for these outcomes. The limitations in the comparability of the studies and analysis method significantly undermines the validity of the results for OS and harms.

Studies Addressing Gaps in the Evidence From the Systematic Review

The submission did not contain any studies addressing gaps in the evidence from the systematic review.

Conclusions

One phase III ongoing multicentre, double-blind, placebo-controlled RCT (the DUO-E trial) provided evidence for the efficacy and safety of durvalumab plus SOC for 6 cycles followed by durvalumab maintenance therapy as first-line treatment in the subgroup of 95 adult patients with primary advanced or recurrent dMMR endometrial cancer.

Patients and clinicians identified a need for new treatments for primary advanced or recurrent endometrial cancer — which is the most common gynecological malignancy — and prolonged survival was considered the most important outcome. In the subgroup of patients with dMMR endometrial cancer, the subgroup results of the DUO-E trial suggested improved PFS and OS in patients treated with durvalumab. The clinical experts consulted for this review considered these results compelling, and the results of the GRADE assessment suggested that the minimal important differences (MIDs) for the proportion of patients with progression-free disease or alive at 12 and 18 months were surpassed. However, because these results were based on a subgroup of the ITT population, the statistical analyses were not powered to detect differences in this subgroup, and no adjustments were made for multiple testing. Furthermore, although the median results for the time-to-event end points were not reached, the certainty in the magnitude of benefit was reduced because they were based on a small sample size and an IA with largely immature data and based on an information fraction of 42.1% for the subgroup and treatment arms presented. Furthermore, despite results for HRQoL that suggested no detriment in patients receiving durvalumab, there was a high rate of attrition. As such, the results of these important efficacy outcomes can be considered only as supportive of the overall effect of durvalumab, and causal conclusions cannot be drawn. Indirect evidence comparing durvalumab with dostarlimab, a relevant comparator in the Canadian clinical setting, suggested no difference between the 2 treatment regimens for PFS; however, the considerable limitations in the indirect evidence preclude conclusions on efficacy (as measured by OS) and harms. While the reporting of harms in the DUO-E study is also immature and lacks important details, in particular with regard to AESIs and the specific causes of death, the clinical experts consulted for this review considered the harms to be typical for patients undergoing chemotherapy with an ICI.

Introduction

The objective of this report is to review and critically appraise the evidence submitted by the sponsor on the beneficial and harmful effects of durvalumab 1,120 mg administered intravenously every 3 weeks in combination with carboplatin and paclitaxel, followed by durvalumab 1,500 mg IV every 4 weeks until disease progression or unacceptable toxicity, in the treatment of primary advanced or recurrent endometrial cancer in adult patients who are candidates for systemic therapy.

Disease Background

Contents within this section have been informed by materials submitted by the sponsor and clinical expert input. The following was summarized and validated by the review team.

Endometrial cancer is a type of uterine cancer originating in the lining of the uterus and is the most common gynecological malignancy,1 accounting for approximately 95% of uterine cancers.2 In Ontario, 2,909 new endometrial cancer cases were diagnosed in 2018, with an age-standardized incidence rate of 36.2 per 100,000.3 In 2024, the Canadian Cancer Society estimated that 8,600 females would be diagnosed with uterine cancer that year, and 1,600 would die from it.4 Endometrial cancer primarily affects females who are postmenopausal, with an average age of diagnosis of 60 years.5

Endometrial cancer is staged using the FIGO system: stage I (tumour confined to the uterus), stage II (cervical stroma invasion), stage III (regional spread), and stage IV (spread to bladder, bowel, or distant organs).6 In Canada, the overall 5-year net survival for uterine cancer is 82%, with stage-specific survival rates of 70% for stage I, 45% for stage II, 30% for stage III, and 15% for stage IV, highlighting significant variability based on disease progression.7

Both primary advanced (stage III or IV) and recurrent (return following primary treatment) endometrial cancer are associated with numerous debilitating symptoms that significantly impair physical functioning and HRQoL. Key symptoms include abnormal vaginal bleeding, which may be periodic or continuous.8,9 Additional manifestations encompass pelvic or lower back pain, the presence of a palpable mass in the lower abdomen, and unintentional weight loss.8 Patients often experience abdominal distension, early satiety, alterations in bowel or bladder habits, and dyspareunia.10 The debilitating nature of the disease has a profound impact on daily activities, confidence, and self-esteem. Symptoms such as menopausal-like effects, sexual dysfunction, anxiety, depression, and long-term side effects of chemotherapy further diminish HRQoL.1,10,11

A diagnosis of endometrial cancer relies on clinical assessments to evaluate tumour location, size, and spread, supported by radiological imaging of the uterus and histopathological analysis of biopsy samples to determine histological type and grade. In cases of recurrent endometrial cancer, biopsies may also be used to identify molecular subtypes of the cancer.12,13

Molecular testing during endometrial biopsy is crucial for treatment decisions and risk assessment.14 MMR protein expression and MSI are key biomarkers for evaluating DNA repair functionality.25 Endometrial cancer is categorized as MSI-H, microsatellite instability-low, or MSS based on MSI testing,15 and as either pMMR or dMMR based on MMR status.16 Additional molecular tests are also recommended to assess for other molecular subtypes such as mutations in p53, DNA POLE, and estrogen receptor and HER2 expression.

MMR dysfunction results in MSI-H, marked by defective DNA repair and elevated mutation rates. IHC is a standard technique for detecting the expression of MMR proteins (hMLH1, hPMS2, hMSH2, and hMSH6). Loss of any protein indicates dMMR, while intact expression signifies pMMR.16 Clinically, dMMR endometrial cancer, which accounts for 20% to 30% of endometrial cancer cases,27 is linked to higher tumour mutation burdens and greater sensitivity to immunotherapies, such as PD-1 inhibitors.

Standards of Therapy

Contents within this section have been informed by materials submitted by the sponsor and clinical expert input. The following was summarized and validated by the review team.

The goals of treatment for advanced or metastatic endometrial cancer, according to the clinical experts consulted for this review, are to improve quality of life by reducing pain and suffering, reduce disease-related symptoms, control cancer proliferation, and improve survival, if possible.

The National Comprehensive Cancer Network (NCCN) and European Society for Medical Oncology (ESMO) guidelines recommend surgery, if possible, and adjuvant chemotherapy treatment for advanced endometrial cancer (advanced being stage III or IV) upon initial diagnosis of metastatic disease.28,29 The clinical experts consulted for this review noted that targeted radiation therapy is also an option in some cases (e.g., cancer confined to the pelvis); the NCCN does not recommend whole-abdomen radiotherapy due to toxicity. Surgery is recommended to be accompanied by adjuvant chemotherapy rather than observation alone.30

Patients who are not surgical candidates, or patients with recurrent or metastatic endometrial cancer (e.g., after treatment of localized disease) typically undergo systemic therapy. ESMO guidelines recommend platinum-based chemotherapy, doxorubicin or paclitaxel, dostarlimab, or pembrolizumab plus lenvatinib as treatment options for dMMR endometrial cancer that is recurrent or metastatic. According to the clinical experts, the current treatment paradigm in Canada for patients with dMMR endometrial cancer is to treat all eligible patients with platinum-taxane chemotherapy (i.e., carboplatin and paclitaxel or, in rare cases, with a substitution of 1 of the 2 agents) plus an ICI for up to 6 cycles followed by maintenance ICI alone. Dostarlimab is the only ICI therapy currently recommended for reimbursement for this indication. It is used alongside chemotherapy and then as maintenance monotherapy for up to 3 years if well tolerated and there is no evidence of disease progression. If patients with dMMR endometrial cancer do not receive an ICI in the first line, they are eligible to receive it in the second line. If there is disease progression, patients who did not receive an ICI in the first-line setting would receive a single-drug ICI in the second-line setting.

Other potential first-line treatments for advanced recurrent endometrial cancer include hormone therapies, which may be considered for specific patients with indolent or low-volume disease and with low-grade carcinomas.26 The clinical experts noted that patients with low-grade endometrioid histologies may receive hormone therapies such as letrozole or medroxyprogesterone acetate, either on their own or in combination with tamoxifen. For patients with HER2-overexpressing serous tumours, trastuzumab and chemotherapy are suggested over other regimens.30

Re-treatment with platinum-based chemotherapy is considered an acceptable approach for those experiencing relapse more than 6 months after initiating their last platinum-based chemotherapy because their disease is considered platinum-sensitive.29 The clinical experts consulted for this review noted that if a patient’s cancer does not respond to therapy, they are unlikely to be re-treated with the same class of treatment but, if the cancer recurs more than 12 months after treatment in a patient who initially experienced a response, then re-treatment with the same therapy may be considered. If a patient’s cancer progresses after an interval of less than 6 months, then treatment with second-line therapies such as pembrolizumab are options.31

Drug Under Review

The Health Canada indication for durvalumab (Notice of Compliance date: January 17, 2025), in combination with carboplatin and paclitaxel, is as a first-line treatment for adult patients with primary advanced or recurrent dMMR endometrial cancer who are eligible for systemic therapy. Durvalumab is administered at 1,120 mg every 3 weeks in combination with platinum-based chemotherapy for 4 to 6 cycles. This is followed by maintenance therapy at 1,500 mg every 4 weeks as monotherapy until disease progression or unacceptable toxicity.19

The sponsor’s reimbursement request is the same as the Health Canada indication. Durvalumab was previously reviewed by CDA-AMC for extensive-stage small-cell lung cancer; locally advanced, unresectable non–small cell lung cancer; biliary tract cancer; and unresectable hepatocellular carcinoma, all of which received conditional reimbursement recommendations.

Durvalumab is a fully human, high-affinity, immunoglobulin G1 kappa monoclonal antibody that selectively blocks the interaction of PD-L1 (a protein expressed on tumour cells) with PD-1 and CD80 on T cells. PD-L1 binds to PD-1 and CD80 on T cells, inhibiting their activation and reducing their ability to detect and destroy cancer cells. Selective blockade of PD-L1 and PD-1 interactions and PD-L1 and CD80 interactions releases the inhibition of immune responses and enhances antitumour immune responses.17,18

The key characteristics of durvalumab and other treatments available for primary advanced or recurrent endometrial cancer are summarized in Table 3.

Table 3: Key Characteristics of Durvalumab, Dostarlimab, Carboplatin, and Paclitaxel

Characteristic

Durvalumab

Dostarlimab

Carboplatin

Paclitaxel

Mechanism of action

Humanized monoclonal antibody that selectively blocks the interaction of PD-L1 with PD-1 and CD80.

Monoclonal antibody that blocks PD-1 receptor, allowing cytotoxic T cells to kill tumour cells.

Synthetic analogue of cisplatin that causes DNA crosslinks in cancer cells, preventing proper DNA replication and transcription, triggering apoptosis (cell death) and inhibiting tumour growth.

Antimicrotubule agent that promotes abnormal microtubule assembly, disrupting the cell's ability to divide by blocking the G2 and M (mitotic) phases of the cell cycle.

Indicationa

Durvalumab in combination with carboplatin and paclitaxel is indicated for the first-line treatment of adult patients with primary advanced or recurrent dMMR endometrial cancer who are candidates for systemic therapy, followed by maintenance treatment with durvalumab as monotherapy.

In combination with carboplatin and paclitaxel for the treatment of adult patients with primary advanced or recurrent dMMR or MSI-H endometrial cancer who are candidates for systemic therapy.

Although this regimen is considered appropriate as part of the first-line standard of care for patients,32 the indication for endometrial cancer is not specified in the product monograph.

Although this regimen is considered appropriate as part of the standard of care for patients,33 the indication for endometrial cancer is not specified in the product monograph.

Route of administration

IV infusion

IV infusion

IV infusion

IV infusion

Recommended dose

The recommended dose of durvalumab is 1,120 mg in combination with platinum-based chemotherapy (carboplatin and paclitaxel) every 3 weeks (21 days) for a minimum of 4 and up to 6 cycles, followed by maintenance with 1,500 mg every 4 weeks as monotherapy until disease progression or unacceptable toxicity.

Patients with a body weight of 30 kg or less during the maintenance phase must receive weight-based dosing of durvalumab at 20 mg/kg until weight increases to greater than 30 kg.

500 mg every 3 weeks for 6 doses followed by 1,000 mg every 6 weeks for all cycles thereafter.

6 mg/mL/min administered every 3 weeks for a maximum of 6 cycles.

175 mg/m2 IV infusion over 3 hours administered every 3 weeks for a maximum of 6 cycles.

Serious adverse effects or safety issues

  • Immune-mediated pneumonitis, hepatitis, colitis, and endocrinopathies

  • Severe or life-threatening infections

  • Infusion-related reactions

  • Embryo-fetal toxicity

  • Immune-mediated reactions (e.g., pneumonitis, colitis, endocrinopathies)

  • Infusion-related reactions

Hypersensitivity reactions, bone marrow suppression, and renal and hepatic toxicity.

Bone marrow suppression, cardiac abnormalities, hepatotoxicity.

dMMR = deficient mismatch repair; MSI-H = microsatellite instability-high.

aHealth Canada–approved indication.

Sources: Product monographs for durvalumab,19 dostarlimab,34 carboplatin,35 and paclitaxel.36

Testing Procedure Considerations

In patients with endometrial cancer, MMR status is considered an important prognostic factor, and its determination can help in clinical decision-making.29,37,38 Confirmation of the molecular subtype based on MMR status (i.e., dMMR or pMMR) can inform risk stratification, eligibility for ICI therapy, and further germline testing for inherited conditions such as Lynch syndrome.39 Current international guidelines recommend testing all endometrial cancer tumours for MMR status along with other molecular or genetic tests, such as those for p53 status and, when indicated, POLE mutations.29,38

MMR status can be determined using IHC. This technique uses antibodies to target and stain specific MMR proteins such as MLH1, MSH2, MSH6, and PMS2, which are the most clinically relevant in cancer.39,40 MMR is considered deficient (i.e., dMMR) if there is an absence of staining in any of the 4 MMR proteins.39 Each of the MMR proteins pair with another to form heterodimers (i.e., PMS2 with MLH1 and MSH6 with MSH2); using a 2-antibody approach targeting PMS2 and MSH6 first, instead of targeting all 4 proteins, is a more cost-effective and quicker method for determining MMR status that is already being implemented in some jurisdictions in Canada.41,42 To offset a potential decrease in accuracy with the 2-antibody method, dMMR samples are further tested using IHC for MLH1 and MSH2 expression if PMS2 or MSH6 expression appears abnormal.42 IHC for MMR testing is conducted using tissue samples obtained through biopsies or surgical resections. IHC is widely available and relatively inexpensive. When considering ICI therapy, using IHC to determine MMR status is recommended over other methods, such as next-generation sequencing or polymerase chain reaction, due to factors such as lower costs, shorter turnaround times, and being less resource-intensive.42-44

The clinical experts consulted for this review noted that testing for MMR status with IHC using the diagnostic biopsy sample is routine in most jurisdictions in Canada and is the SOC for endometrial cancer. Jurisdictions that are not currently using IHC testing for MMR in patients with endometrial cancer should already have the capability (e.g., availability of antibodies) and the technical expertise in place. The clinical experts stated that the results of MMR testing are usually reported simultaneously with the diagnostic pathology report and that MMR testing can also be ordered by the treating oncologist.

The potential impacts of MMR testing for establishing treatment eligibility for durvalumab in adult patients with primary advanced or recurrent endometrial cancer were considered for this review, including impacts to health systems, patients (including families and caregivers), and costs. No new impacts are anticipated because MMR testing is currently performed as the SOC for endometrial cancer in Canada. Key considerations and relevant information available from materials submitted by the sponsor, input from the clinical experts consulted by the review team, and sources from the literature were validated by the review team, when possible, and are summarized in Table 4.

Table 4: Considerations for MMR Testing for Establishing Treatment Eligibility With Durvalumab in Primary Advanced or Recurrent Endometrial Cancer

Consideration

Criterion

Available information

Health system–related

Number of individuals in Canada expected to require the test (e.g., per year).

The sponsor estimated that around 5,500 patients with incident EC will be tested for MMR status in 2024.22 According to the clinical experts consulted for this review, this is an accurate estimate of the number of individuals with EC expected to require MMR testing per year in Canada. The clinical experts noted that most, if not all, individuals with recurrent EC would have been tested for MMR status at the time of their initial diagnosis. Because MMR testing by IHC is already part of the standard of care for all patients with EC, the testing volume is not expected to increase as part of establishing treatment eligibility with durvalumab.

Availability and reimbursement status of the testing procedure in jurisdictions across Canada.

According to the clinical experts, MMR testing by IHC is broadly available and funded across all jurisdictions in Canada.

Testing procedure as part of routine care.

According to the clinical experts, MMR testing by IHC is currently performed as part of the standard of care at diagnosis for all patients with EC.

Repeat testing requirements.

According to the clinical experts, MMR testing needs to be performed only once and does not need to be repeated. They also confirmed that individuals with recurrent EC would have been tested for MMR status at the time of their initial diagnosis and would not need to be retested.

Impact on human and other health care resources by provision of the testing procedure.

MMR testing by IHC is currently the standard of care for all patients with EC; therefore, no additional impact on human health and other resources is anticipated from the testing as part of establishing treatment eligibility for durvalumab.

Patient-related

Accessibility of the testing procedure in jurisdictions across Canada.

Based on the input from the clinical experts, MMR testing is accessible to most, if not all, patients across the country.

Expected turnaround time for the testing procedure.

According to the clinical experts, turnaround times for IHC testing of MMR status are minimal. Testing is done on the diagnostic biopsy sample, with results usually being received simultaneously with the pathology report, or up to 1 or 2 days later. They anticipate no or minimal additional impact for patients or caregivers due to wait times if durvalumab is made available.

Burden associated with the testing procedure for patients, families, and/or caregivers.

In patients with EC, IHC testing for MMR status is routinely conducted on biopsy samples collected as part of the diagnostic work-up. According to the clinical experts, in rare instances, a new biopsy sample may be required to test for MMR status (e.g., when an individual had EC resection surgery abroad). Individuals whose results show a dMMR status would likely need genetic counselling (and potentially their families, as well) and additional testing to determine the presence of a hereditary condition (e.g., Lynch syndrome).45 However, because MMR testing by IHC is already part of the standard of care for all patients with EC, there is no additional burden to patients, families, and/or caregivers anticipated from the testing as part of establishing treatment eligibility with durvalumab.

Clinical

Clinical utility and validity of the testing procedure.

There is evidence that demonstrates the diagnostic accuracy and clinical utility of IHC testing for MMR status.a,39,42

Risks of harm associated with the testing procedure.

According to the clinical experts, because testing for MMR status by IHC is part of the standard of care at diagnosis for all patients with EC, there is no additional risk of harm anticipated from the testing as part of establishing treatment eligibility with durvalumab.

Cost

Projected cost of the testing procedure.

Materials provided by the sponsor show an estimated cost of less than $200 per IHC test performed to determine MMR status.46,47 Because testing for MMR status is currently part of the standard of care at diagnosis for all patients with EC, there is no additional cost anticipated from the testing as part of establishing treatment eligibility with durvalumab.

dMMR = mismatch repair deficient; EC = endometrial cancer; IHC = immunohistochemistry; MMR = mismatch repair.

aCanada’s Drug Agency has not evaluated or critically appraised this evidence to determine its validity or reliability.

Perspectives of Patients, Clinicians, and Drug Programs

The full patient and clinician group submissions received are available in the consolidated patient and clinician group input document for this review on the project website for durvalumab (Imfinzi) in combination with carboplatin and paclitaxel.

Patient Group Input

This section was prepared by the review team based on the input provided by patient groups.

One patient group, CCRAN, in collaboration with the Canadian Cancer Survivor Network and HPV Global Action, submitted input on durvalumab for endometrial cancer. CCRAN gathered information for this submission in September 2024 through outreach to 12 clinical trial investigators and/or clinicians in Canada to identify patients with experience using durvalumab in combination with carboplatin and paclitaxel for dMMR and/or MSI-H cancer, followed by olaparib in patients with pMMR or MSS cancer. CCRAN also reached out to 17 US-based clinician investigators involved in the DUO-E clinical trial via email in October 2024, as well as to the Society of Gynecologic Oncology and the Gynecologic Cancer Initiative. Additionally, HPV Global Action collaborated with several of its medical advisors to identify patients with experience using the therapy under review. These efforts led to 2 telephone interviews with patients with MSS endometrial cancer who participated in the DUO-E trial. Also, data from a 2023 online survey, which generated 6 responses and gathered information on the experiences of 4 patients, were used for this input.

The patient group input highlighted that patients with endometrial cancer face significant inequities, including research underfunding; rising incidence rates, particularly among females who are postmenopausal; and increasing mortality rates, despite advancements in oncology. According to the patient group input, a diagnosis of endometrial cancer is profoundly distressing, placing significant emotional strain on both patients and their caregivers, and triggering fears related to personal health and family welfare.

Respondents to the survey reported using various treatment options, including radiation, surgical resection, targeted therapy, hormonal therapy, immunotherapy, chemotherapy, and complementary medicines. Common symptoms included neuropathy, fatigue, vaginal dryness, itching, burning sensations, changes in sexual function, fluid retention, nausea, constipation, and cognitive impairment known as “chemo brain.” Many patients described chemotherapy as “tough,” with significant nausea and fatigue impacting daily life. The effects of treatment often extend to sexual health, which is frequently overlooked in clinical care and research.

The input highlighted that early-stage endometrial cancer is typically treated with surgery, often combined with chemotherapy, hormone therapy, or radiation. However, treatment options for patients with recurrent or metastatic endometrial cancer are limited, and the prognosis remains poor due to stagnant access to new therapeutics over the past decades. Thus, the patient groups highlighted an urgent unmet need for additional precision therapeutics in advanced or recurrent endometrial cancer in Canada. When asked about desired improvements in cancer treatment, the 2 patients who participated in telephone interviews emphasized the necessity of timely access to new therapies for patients with similar genomic markers in different tumour types. Among the survey respondents, 60% of patients with endometrial cancer ranked “prolong life” as the most important issue they hope new treatments will address.

The 2 patients who were interviewed shared their experiences with durvalumab in combination with olaparib during the DUO-E trial, reporting CRs and minimal side effects, while a third patient who was receiving durvalumab treatment in Australia highlighted, in their survey response, the positive impact of targeted therapies on their quality of life.

Clinician Input

Input From the Clinical Experts Consulted for This Review

All CDA-AMC review teams include at least 1 clinical specialist with expertise regarding the diagnosis and management of the condition for which the drug is indicated. Clinical experts are a critical part of the review team and are involved in all phases of the review process (e.g., providing guidance on the development of the review protocol, assisting in the critical appraisal of clinical evidence, interpreting the clinical relevance of the results, and providing guidance on the potential place in therapy). The following input was provided by 2 clinical specialists with expertise in the diagnosis and management of endometrial cancer.

Unmet Needs

The goals of treatment for advanced or metastatic endometrial cancer, according to the clinical experts, are to improve quality of life by reducing pain and suffering, improve disease-related symptoms, control the cancer proliferation, and improve survival, if possible. They noted that achieving a longer DOR would be strongly linked to improvement in relevant patient outcomes.

In dMMR endometrial cancer, 1 expert noted that between 20% and 40% of patients do not experience a response to the current first-line treatment paradigm; for context, they noted that, in general, approximately 40% of patients are not expected to experience a response to chemotherapy, and the DOR to chemotherapy alone is often very short. While the addition of an ICI improves the overall treatment response rate, it has the most significant impact on the improvement in DOR. The unmet needs in patients with dMMR endometrial cancer include better identification of potential nonresponders, determining the therapy their cancer might respond to, and determining the ideal duration of maintenance treatment among the patients with cancer that does respond to therapy.

Place in Therapy

The experts indicated that durvalumab would be an additional first-line ICI option, alongside dostarlimab, that could be added to chemotherapy and used as maintenance monotherapy in patients with dMMR endometrial cancer. In general, the clinical experts noted that the choice of ICI is often based on availability but, in a situation when multiple approved options are available, any of them could be offered. If a patient did not experience a response to ICI therapy, the clinical experts noted it was unlikely they would trial the same drug class again; however, if a patient had a recurrence more than 12 months after therapy and had previously experienced a response, then re-treatment might be considered.

Patient Population

Endometrial cancer is not considered a rare disease, and the indication places durvalumab as first-line therapy. The clinical experts noted that the DUO-E trial results did not identify specific molecular subtypes of cancers (beyond dMMR) that could respond to the new treatments; therefore, all patients who meet the other clinical trial criteria would likely be candidates for treatment with durvalumab.

Assessing the Response to Treatment

The clinical experts consulted for this review noted that the outcomes from the DUO-E trial corresponded to standard clinical assessments, with the exception of HRQoL measures, which are not routinely used in clinical practice. In general, symptomatic benefit would be assessed every treatment cycle through conversations with the patient, and radiologic treatment response would be assessed every 2 to 3 cycles. They noted that the ideal outcome to assess response would be survival but, in the face of measurable disease, achieving stability (i.e., prolongation of PFS) while being tolerated well would be a minimum response to continue therapy. They indicated that the definition of a treatment benefit may vary across physicians and patients.

Discontinuing Treatment

The clinical experts noted that disease progression and SAEs would be grounds to discontinue therapy. Examples of SAEs could include grade 3 or 4 toxicities such as hepatitis, colitis, or pneumonitis as well as any other significant immune-related toxicity.

Prescribing Considerations

Both clinical experts agreed that an oncologist or specialist in administering chemotherapy or biologic therapy would be essential to manage the complexities of treatment toxicity.

Clinician Group Input

This section was prepared by the review team based on the input provided by clinician groups.

Two inputs, 1 from the OH (CCO) Gynecologic Cancer Drug Advisory Committee (7 clinicians contributed to the input) and 1 from the GOC (1 clinician contributed to the input), were provided for this review. The OH (CCO) input was gathered through conference calls and emails, while the GOC input was based on data from completed clinical trials and expert opinions from its board members on treating advanced or recurrent endometrial cancer.

According to the clinician groups, treatment for dMMR endometrial cancer involves platinum-based chemotherapy (carboplatin and paclitaxel) and radiation. The clinician groups underscored the lack of publicly funded first-line immunotherapy options, though both groups acknowledged that pembrolizumab is funded for recurrent dMMR disease after failure of chemotherapy. The OH (CCO) noted that compassionate access to dostarlimab in combination with chemotherapy is available.

According to both clinician groups, the primary goals of treatment are to prolong survival, delay disease progression, control symptoms, improve HRQoL and, when possible, cure the disease. The OH (CCO) emphasized that chemotherapy fails to provide a durable response in patients with dMMR endometrial cancer.

Both clinician groups recommended durvalumab as a first-line option for patients with advanced (stage III or IV) or recurrent endometrial cancer. The OH (CCO) noted its suitability for patients with dMMR endometrial cancer, specifically highlighting that patients with dMMR endometrial cancer can receive durvalumab treatment without prior chemotherapy. The GOC emphasized that treatment suitability is determined by pathologic and radiologic staging, underscoring that it is best suited for patients with stage III or IV disease.

The clinician groups noted that treatment response is assessed through imaging (CT or MRI) and clinical evaluations. The GOC added that tolerability is evaluated before each treatment cycle (i.e., every 3 weeks) and that radiologic assessments occur every 2 to 3 cycles (i.e., every 6 to 9 weeks). The GOC highlighted that a clinically meaningful response includes tolerable toxicity and improved PFS. However, the clinician groups indicated that treatment may be withheld due to disease progression and intolerable toxicity or AEs. The GOC further mentioned that such decisions could also be related to patient preference.

In line with the clinical experts consulted for this review, the clinician groups stated that durvalumab plus carboplatin and paclitaxel should be administered in an outpatient setting and is best prescribed by specialist physicians experienced in systemic therapy.

Drug Program Input

The drug programs provide input on each drug being reviewed through the Reimbursement Review processes by identifying issues that may impact their ability to implement a recommendation. The implementation questions and corresponding responses from the clinical experts consulted for this review are summarized in Table 5.

Table 5: Summary of Drug Plan Input and Clinical Expert Responses

Drug program implementation questions

Clinical expert response

Relevant comparators

The DUO-E study compared treatment arms (durvalumab with carboplatin and paclitaxel then maintenance durvalumab vs. durvalumab with carboplatin and paclitaxel then maintenance with durvalumab and olaparib) with 6 cycles of carboplatin and paclitaxel chemotherapy.

In Canada, carboplatin and paclitaxel treatment is the current standard. At the time of this review, dostarlimab in combination with carboplatin and paclitaxel (for patients with dMMR tumours) has completed pCPA negotiations and is currently at the jurisdictional level to approve funding.

Dostarlimab is under review to expand use beyond dMMR to all patients. Pembrolizumab is also under review for the first-line treatment of primary advanced or recurrent endometrial cancer regardless of the MMR status.

This is a comment from the drug plans to inform pERC deliberations.

In the DUO-E study, durvalumab maintenance continued until progression or toxicity. Dostarlimab continues for a maximum of 3 years in this indication. Pembrolizumab continues for a maximum of 2 years.

This is a comment from the drug plans to inform pERC deliberations.

Considerations for initiation of therapy

MMR testing is not reflexive in all jurisdictions for endometrial carcinoma. Is there a standard definition of dMMR to help define treatment for eligible patients?

The clinical experts noted that MMR testing is reflexive in a majority of care settings, and the standard definition most use would be based on immunohistochemistry.

Can durvalumab be administered with alternate chemotherapy if a patient cannot receive or tolerate carboplatin and/or paclitaxel?

The experts indicated that patients could receive alternate chemotherapy such as single-agent carboplatin, paclitaxel, or another single-platinum agent.

Patients who received previous systemic therapy were eligible only if previous treatment was in the adjuvant setting and there was ≥ 12 months between the last dose and subsequent relapse. Should patients be eligible for treatment if there was less than 12 months between the last dose of adjuvant therapy and subsequent relapse?

The experts indicated there are no data in this setting, but speculated that patients with dMMR endometrial cancer who have a rapid recurrence after platinum-based therapy would probably be treated with immunotherapy.

In the DUO-E trial, patients had to complete a minimum of 4 cycles before being eligible for the maintenance phase. If patients must discontinue carboplatin and paclitaxel before the fourth cycle, should they be considered for maintenance treatment?

The clinical experts indicated that the reason for the discontinuation would be a factor in decision-making, and that it would be a clinical decision. However, patients with dMMR cancer would likely proceed with maintenance treatment in this scenario.

In the DUO-E trial, treatment was continued until disease progression or unacceptable toxicity. If a patient stopped treatment for a reason other than progression or unacceptable toxicity and then wanted to resume at time of progression, would they be eligible? If yes, for which components of the regimen would they be eligible?

The clinical experts indicated that the reason for stopping treatment initially would be a factor in the decision-making in this scenario; however, they noted that disease progression or toxicity are the main reasons they do not rechallenge with the same therapy. As such, they likely would resume treatment at time of progression, although the components of the regimen would depend on when in treatment the stoppage occurred. For example, the experts noted that if a patient stopped treatment after 1 week, they would likely be considered naive and resume treatment at the beginning. However, if they stopped treatment after 5 cycles, then they could be considered to have received the whole chemotherapy regimen and could be evaluated for maintenance therapy.

If recommended for reimbursement, would it be appropriate to consider aligning the initiation criteria of the drug under review with the initiation criteria for dostarlimab and pembrolizumab in endometrial cancer?

The experts noted that in the absence of direct comparative evidence, they consider these treatments to be somewhat equivalent; therefore, the initiation criteria could be aligned with dostarlimab and pembrolizumab in the same care setting.

Considerations for continuation or renewal of therapy

If there is progression during a “drug holiday,” can treatment be resumed? According to what time frame?

The experts indicated that the reason for the drug holiday would be an important factor in the decision-making for this situation, and this would likely be a patient-specific clinical decision. Examples of factors they would take into consideration included the reason for the holiday, how much treatment the patient had received before the holiday, and after which interval their disease recurred. For example, if a longer interval had elapsed, then the experts would be more likely to consider re-treatment, while a shorter interval may imply a lack of benefit.

Considerations for prescribing of therapy

Most jurisdictions use weight-based dosing up to a cap for durvalumab: 15 mg/kg to 20 mg/kg (up to a maximum of 1,500 mg) every 3 weeks in combination with chemotherapy, then 20 mg/kg (up to a maximum of 1,500 mg) every 4 weeks.

This is a comment from the drug plans to inform pERC deliberations.

Generalizability

The exclusion criteria for the DUO-E study excluded patients with an ECOG PS of > 1 and patients with sarcomas. Should either of these groups of patients be considered for treatment?

The clinical experts indicated they would likely treat patients with an ECOG PS of 2, but there are no data on pure sarcomas and they would not consider them for treatment.

Should patients who are currently receiving first-line chemotherapy be eligible to add durvalumab?

The experts indicated that if the treatment becomes available and the patients otherwise meet the eligibility criteria, then they would add durvalumab to their chemotherapy regimen.

Should patients currently receiving dostarlimab in combination with chemotherapy be eligible to switch to durvalumab?

Should patients currently receiving dostarlimab maintenance be eligible to switch to durvalumab?

The clinical experts indicated they would not generally switch 1 ICI for another unless data were to become available to support a switch or if there were a contract change in their care centre.

In general, if a patient’s cancer failed to respond to ICI treatment, they also would not rechallenge with another drug from that treatment class. A change from durvalumab to a drug with a more convenient treatment schedule (every 6 weeks in the maintenance setting for dostarlimab or pembrolizumab) might be considered, which could improve patient QoL and reduce resource use at the treating centre.

Funding algorithm (oncology only)

Durvalumab may change the place in therapy of comparator drugs and may change the place in therapy of drugs reimbursed in subsequent lines.

Under what circumstances would durvalumab be chosen over dostarlimab or pembrolizumab if reimbursed in the same line of therapy?

The experts indicated that if all 3 treatments were available, they did not see a compelling reason to use 1 ICI over another, other than the potential convenience of 6 weekly infusions of drugs such as dostarlimab or pembrolizumab.

System and economic issues

Funding of oral drugs varies by province.

These are comments from the drug plans to inform pERC deliberations.

Confidential prices exist for other treatment options.

PAG would like to inform pERC that there is concern about the budget impact of durvalumab in the first-line treatment of all patients with endometrial cancer compared with chemotherapy alone and other ICIs. Dostarlimab continues for up to 3 years, pembrolizumab continues for up to 2 years, and durvalumab would continue until progression or unacceptable toxicity with no maximum cut-off. There is no comparative data to determine whether durvalumab provides a significant advantage over dostarlimab or pembrolizumab.

dMMR = mismatch repair deficient; ECOG PS = Eastern Cooperative Oncology Group Performance Status; ICI = immune checkpoint inhibitor; MMR = mismatch repair; PAG = Provincial Advisory Group; pCPA = pan-Canadian Pharmaceutical Alliance; pERC = pan-Canadian Oncology Drug Review Expert Review Committee; QoL = quality of life; vs. = versus.

Clinical Evidence

The objective of this Clinical Review Report is to review and critically appraise the clinical evidence submitted by the sponsor on the beneficial and harmful effects of durvalumab plus carboplatin and paclitaxel, and durvalumab monotherapy in the treatment of advanced or recurrent endometrial cancer in adult patients aged 18 years or older. The focus will be placed on comparing durvalumab with relevant comparators and identifying gaps in the current evidence.

A summary of the clinical evidence included by the sponsor in the review of durvalumab plus carboplatin and paclitaxel is presented in 2 sections, with the CDA-AMC critical appraisal of the evidence included at the end of each section. The first section, the systematic review, includes pivotal studies and RCTs that were selected according to the sponsor’s systematic review protocol. The review team’s assessment of the certainty of the evidence in this first section using the GRADE approach follows the critical appraisal of the evidence. The second section includes indirect evidence from the sponsor. No long-term extension studies or studies addressing gaps in the evidence were included.

Included Studies

Clinical evidence from the following is included in the review and appraised in this document:

Systematic Review

Contents within this section have been informed by materials submitted by the sponsor. The following has been summarized and validated by the review team.

Description of Studies

One study (the DUO-E study) was included in this review. Characteristics of the DUO-E study are summarized in Table 6.

The DUO-E study is an ongoing phase III, multicentre, double-blind, placebo-controlled RCT of durvalumab in combination with platinum-based chemotherapy (carboplatin and paclitaxel), followed by maintenance durvalumab or maintenance durvalumab in combination with olaparib, in patients with newly diagnosed advanced or recurrent endometrial cancer compared with SOC alone (carboplatin and paclitaxel). The primary end point of the DUO-E study was PFS, with secondary end points consisting of OS, ORR, DOR, TTD, and HRQoL. In total, 718 patients were randomized 1:1:1 to SOC (arm A; N = 241), durvalumab plus SOC (arm B; N = 239), or durvalumab plus olaparib plus SOC (arm C; N = 238). Randomization was stratified according to MMR status (dMMR versus pMMR), disease status (recurrent versus newly diagnosed), and geographic region (Asia versus the rest of the world), and was undertaken using an interactive voice response system (IVRS) or interactive web response system. The study took place in 22 countries worldwide and included 7 centres in Canada. Enrolment for the DUO-E study ended in March 2022; however, treatment and follow-up are still ongoing. Full details of the DUO-E study design are included in Figure 1.

Of note, the DUO-E trial randomized patients with either pMMR or dMMR status to all 3 study arms. To align with the Health Canada indication and reimbursement request (durvalumab in combination with carboplatin and paclitaxel in patients with dMMR endometrial cancer, followed by maintenance durvalumab), this Clinical Review Report focuses only on the population of patients from the DUO-E study with dMMR status who received durvalumab in combination with carboplatin and paclitaxel (i.e., only a subset of patients included in arm B of the DUO-E study).

Other trial results, such as the use of concomitant medications and efficacy and safety results for the full ITT population (i.e., all patients with either dMMR or pMMR endometrial cancer) are presented in Appendix 1.

Table 6: Details of Studies Included in the Systematic Review

Detail

DUO-E study

Designs and populations

Study design

Ongoing phase III, randomized, multicentre, double-blind, placebo-controlled RCT

Locations

202 sites in 22 countries: Australia (5 centres), Belgium (9 centres), Brazil (11 centres), Canada (7 centres), China (25 centres), Columbia (9 centres), Estonia (2 centres), Germany (4 centres), Greece (4 centres), Hong Kong (1 centre), Hungary (6 centres), India (2 centres), Israel (5 centres), Japan (18 centres), Lithuania (3 centres), Mexico (7 centres), Poland (5 centres), Republic of Korea (9 centres), Russia (8 centres), Singapore (3 centres), Spain (7 centres), and US (52 centres).

Patient enrolment dates

Start date: May 5, 2020

End date: March 30, 2022

Randomized (N)

Randomized (N = 718):

  • SOC = 241

  • SOC + durvalumab = 238

  • SOC + durvalumab + olaparib = 239

Inclusion criteria

  • Female patients ≥ 18 years of agea

  • Histologically confirmed diagnosis of epithelial endometrial carcinoma. All histologies, including carcinosarcomas, were allowed. Sarcomas were not allowed.a

  • Endometrial cancer in 1 of the following categories:

    • newly diagnosed stage III disease (measurable disease per RECIST 1.1 following surgery or diagnostic biopsy)

    • newly diagnosed stage IV disease (with or without disease following surgery or diagnostic biopsy)

    • recurrence of disease (measurable or nonmeasurable disease per RECIST 1.1) when the potential for cure by surgery alone or in combination was poor.

  • Patient was naive to first-line systemic anticancer treatment. However, for patients with recurrent disease, prior systemic anticancer treatment was allowed if it had been administered in the adjuvant setting (as part of the upfront or adjuvant anticancer treatment, which may have been concurrent or followed with chemoradiation) and if the date of the subsequent relapse was at least 12 months after the date the last dose of systemic anticancer treatment was administered.a

  • An FFPE tumour sample from the locoregional or a metastatic site must have been available and suitable for determining MMR status before randomization.a

  • ECOG Performance Status of 0 or 1 within 7 days of starting study treatment.

  • Life expectancy of at least 16 weeks.

  • Postmenopausal or, for individuals of childbearing potential, evidence of a negative urine or serum pregnancy test within 28 days of cycle 1 day 1 and confirmed before treatment on cycle 1 day 1

  • Body weight > 30 kg.

  • Adequate organ and bone marrow function, defined as:

    • hemoglobin ≥ 10 g/dL

    • ANC ≥ 1.5 × 109/L

    • platelet count ≥ 100 × 109/L

    • serum bilirubin ≤ 1.5 × ULN (except for patients with confirmed Gilbert syndrome)

    • ALT and AST ≤ 2.5 × ULN; for patients with hepatic metastases, ALT and AST ≤ 5 × ULN.

  • Measured CrCl > 51 mL/min or calculated CrCl > 51 mL/min as determined by Cockcroft-Gault (using actual body weight), a 24-hour urine test, or another validated test, as per local practice.

Exclusion criteria

  • Any unresolved toxicity NCI CTCAE (Version 5.0) grade ≥ 2 from previous anticancer therapy with the exception of alopecia, vitiligo, and the laboratory values defined in the inclusion criteria.a Note:

    • Patients with grade ≥ 2 neuropathy could be included, but only after consultation with the study physician.

    • Patients with irreversible toxicity not reasonably expected to be exacerbated by treatment with durvalumab or olaparib could be included, but only after consultation with the study physician.

  • Major surgical procedure within 2 weeks of starting study treatment. Patients who had a major surgical procedure more than 2 weeks before starting study treatment had to have recovered from any effects of the surgery. Note: Local surgery of isolated lesions for palliative intent or diagnostic staging was acceptable.

  • History of allogenic organ transplantation.a

  • Previous allogenic bone marrow transplant or double umbilical cord blood transplant.a

  • Active or prior documented autoimmune or inflammatory disorders. The following were exceptions to this criterion:

    • patients with vitiligo or alopecia

    • patients with hypothyroidism (e.g., following Hashimoto syndrome) that was stable on hormone replacement therapy

    • any chronic skin condition that did not require systemic therapy

    • patients without active disease in the past 5 years could be included, but only after consultation with the study physician

    • patients with celiac disease controlled by diet alone.

  • Uncontrolled intercurrent illness or psychiatric illness or social situations that would have limited compliance with study requirement, substantially increased risk of experiencing adverse events, or compromised the ability of the patient to give written informed consent.

  • History of another primary malignancy,a except for the following:

    • malignancy treated with curative intent and with no known active disease ≥ 5 years before the first dose of the IP and of low potential risk for recurrence

    • adequately treated nonmelanoma skin cancer or lentigo maligna without evidence of disease

    • adequately treated carcinoma in situ without evidence of disease.

  • History of leptomeningeal carcinomatosis.a

  • Brain metastases or spinal cord compression.

  • Resting ECG indicating uncontrolled, potentially reversible cardiac conditions, as judged by the investigator or patients with congenital long QT syndrome.

  • History of active primary immunodeficiency.a

  • Active infection, including tuberculosis, HBV, HCV, or HIV. Patients with a past or resolved HBV infection (defined as the presence of anti-HBc and absence of HbsAg) were eligible. Patients positive for HCV antibody were eligible only if a polymerase chain reaction was negative for HCV ribonucleic acid.

  • Presence of, or features suggestive of, MDS or AML.a

  • Radiotherapy treatment administered to more than 30% of the bone marrow or with a wide field of radiation within 4 weeks of the first dose of the study drug.

  • Prior treatment with PARP inhibitors.a

  • Any prior exposure to immune-mediated therapy, including (but not limited to) other anti–CTLA-4, anti–PD-1, anti–PD-L1, or anti–PD-L2 antibodies, excluding therapeutic anticancer vaccines.a

  • Any concurrent chemotherapy, IP, or biologic or hormonal therapy for cancer treatment.a Concurrent use of hormonal therapy for non–cancer-related conditions (e.g., hormone replacement therapy) was acceptable. Prior hormonal therapy for cancer treatment must have been stopped at least 7 days before the first dose of study treatment.

  • Current or prior use of immunosuppressive medication within 14 days before the first dose of durvalumab. The following were exceptions to this criterion:

    • intranasal, inhaled, or topical steroids or local steroid injections (e.g., intra-articular injection)

    • systemic corticosteroids at physiologic doses not to exceed 10 mg/day of prednisone or its equivalent

    • steroids as premedication for hypersensitivity reactions (e.g., CT scan premedication).

  • Receipt of live attenuated vaccine within 30 days before the first dose of the IP. Note: Patients, if enrolled, should not have received live vaccine while receiving IP or up to 30 days after the last dose of IP.

  • Concomitant use of known strong or moderate CYP3A inhibitors. The required washout period before starting study treatment was 2 weeks.

  • Concomitant use of known strong or moderate CYP3A inducers. The required washout period before starting study treatment was 5 weeks for enzalutamide or phenobarbital and 3 weeks for other drugs.

  • Previous IP assignment in the present study.

  • Participation in another clinical study with an IP administered in the last 12 months or concurrent enrolment in another clinical study, unless it was an observational (noninterventional) clinical study or during the follow-up period of an interventional study.

  • Known allergy or hypersensitivity to any of the study drugs or any of the study drug excipients.

  • Unable to swallow orally administered medication.a

  • Any gastrointestinal disorder likely to interfere with absorption of the study medication.a

  • Pregnant or breastfeeding.

  • Patients of reproductive potential who were not willing to employ effective birth control from screening to 90 days after the last dose of study treatment.

  • Judgment by the investigator that the patient was unsuitable to participate in the study and the patient was unlikely to comply with study procedures, restrictions, and requirements.

Drugs

Intervention

Induction: Platinum-based chemotherapy (carboplatin: AUC 5 mg/mL/min or 6 mg/mL/min q.3.w. for 6 cycles; paclitaxel: 175 mg/m2 q.3.w. for 6 cycles) plus durvalumab 1,120 mg intravenously once q.3.w. for 6 cycles. Platinum-based chemotherapy was to have continued for a maximum of 6 cycles. A minimum of 4 cycles of platinum-based chemotherapy was acceptable if treatment was stopped due to toxicity.

Maintenance:

  • maintenance durvalumab 1,500 mg intravenously q.4.w. (dMMR subgroup), or

  • maintenance durvalumab 1,500 mg intravenously q.4.w. plus olaparib 300 mg tablets twice daily (pMMR subgroup; not appraised in this review).

Comparator

SOC, which consisted of both of the following:

  • Paclitaxel 175 mg/m2 IV q.3.w. Platinum-based chemotherapy was to have continued for a maximum of 6 cycles. A minimum of 4 cycles was acceptable if treatment was stopped due to toxicity.

  • Carboplatin AUC 5 mg/mL/min or 6 mg/mL/min intravenously q.3.w. Platinum-based chemotherapy was to have continued for a maximum of 6 cycles. A minimum of 4 cycles was acceptable if treatment was stopped due to toxicity.

Study duration

Screening phase

Up to 28 days

On-treatment phase

Chemotherapy phase: Cycles 1 to 6

Maintenance phase: Maintenance treatments were continued until objective disease progression (per RECIST 1.1), unless there was unacceptable toxicity, withdrawal of consent, or another discontinuation criterion was met. To start maintenance therapy, patients had to meet the eligibility criteria for organ function, bone marrow function, and CrCl after the last cycle of chemotherapy.

Follow-up phase

If a patient’s cancer progressed, the patient was followed as per local clinical practice. In the case of a second progression, assessments were planned for every 12 weeks and survival status was assessed every 2 months until the final analysis of the study.

Outcomes

Primary end point

PFS per RECIST 1.1, as assessed by an investigator, was defined as the time from randomization until the date of objective disease progression or death (from any cause in the absence of progression). This was assessed by determining the efficacy of durvalumab in combination with platinum-based chemotherapy (carboplatin and paclitaxel) and continued as maintenance vs. upfront SOC platinum-based chemotherapy (carboplatin and paclitaxel) alone.

Secondary and exploratory end points

Secondary:

  • PFS2, which was defined as the time from randomization to the earliest progression event (as assessed by the investigator per local standard clinical practice and measured using either objective radiological imaging or symptomatic progression) occurring after the first subsequent therapy, or from randomization to death from any cause.

  • OS, which was defined as the time from the date of randomization until death due to any cause.

  • ORR, which was defined as the proportion of patients with measurable disease at baseline who had a CR or PR, as determined by the investigator at the local site.

  • DOR, which was defined as the time from the date of first documented response until either the date of documented progression, or date of death in the absence of disease progression.

  • TFST, which was defined as the time from randomization to the earlier of either the start date of the first subsequent anticancer therapy after discontinuation of randomized treatment, or date of death due to any cause.

  • TSST, which was defined as the time from randomization to the earlier of either the start date of the second anticancer therapy after discontinuation of the first treatment, or date of death due to any cause.

  • TDT, which was defined as the time from randomization to the earlier of either the date of study treatment discontinuation or date of death.

  • Change from baseline in the EORTC QLQ-C30’s:

    • physical functioning score

    • role functioning score

    • global health status (QoL) score

    • other functioning and symptom subscale scores, excluding the financial subscale.

  • Time to deterioration in:

    • EORTC QLQ-C30 physical functioning score

    • EORTC QLQ-C30 role functioning score

    • EORTC QLQ-EN24 back and pelvic pain score

    • EORTC QLQ-EN24 gastrointestinal symptoms score

    • EORTC QLQ-EN24 urological symptoms score.

Exploratory:

  • Measurements within the tumour: Tumour tissue MMR, MSI, TMB, and PD-L1 status.

  • Mutation status of HRR genes and HRD score or other genomic scar of homologous recombination deficiency.

  • CD3+ or CD8+ tumour-infiltrating lymphocyte densities, human leukocyte antigen loss of heterozygosity, immune gene expression profiling, and other exploratory biomarkers.

  • Circulating tumour DNA response to treatment.

  • Profiling of peripheral gene expression, assessment of peripheral chemokines and cytokines, profiling of T-cell receptors.

  • Evaluation of health status through the assessment of:

    • health state utility, derived from the EQ-5D-5L

    • quality-adjusted time without symptoms of disease or toxicity

    • quality-adjusted PFS.

  • Evaluation of selected symptoms from the PRO-CTCAE and overall treatment tolerability using the PGI-TT.

  • Evaluation of PGI-S, change in PGIC, and overall PGI-BR.

  • Key health care resource use.

Publication status

Publications

Westin et al. (2024)

Clinicaltrials.gov entry NCT04269200

ALT = alanine aminotransferase; AML = acute myeloid anemia; ANC = absolute neutrophil count; anti-HBc = hepatitis B core antibody; AST = aspartate transferase; AUC = area under the curve; CrCl = creatinine clearance; DOR = duration of response; dMMR = mismatch repair deficient; ECG = electrocardiogram; ECOG = Eastern Cooperative Oncology Group; EORTC QLQ-C30 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30; EORTC QLQ-EN24 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire – Endometrial Cancer Module; FFPE = formalin-fixed paraffin-embedded; HbsAg = hepatitis B virus surface antigen; HBV = hepatitis B virus; HCV = hepatitis C virus; HRD = homologous recombination deficiency; IP = investigational product; MDS = myelodysplastic syndrome; MMR = mismatch repair; MSI = microsatellite instability; NCI CTCAE = National Cancer Institute Common Terminology Criteria for Adverse Events; ORR = objective response rate; q.3.w. = every 3 weeks; q.4.w. = every 4 weeks; QT = electrocardiogram interval measured from the beginning of the QRS complex to the end of the T wave; PFS = progression-free survival; PGI-BR = Patient Global Impression of Benefit–Risk; PGI-S = Patient Global Impression–Severity; PGI-TT = Patient Global Impression of Treatment Tolerability; PGIC = Patient Global Impression of Change; PR = partial response; PRO-CTCAE = Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events; RCT = randomized controlled trial; RECIST 1.1 = Response Evaluation Criteria in Solid Tumours Version 1.1; SOC = standard of care; TDT = time to study treatment discontinuation or death; TFST = time to first subsequent therapy or death; TMB = tumour mutational burden; TSST = time to second subsequent therapy or death; ULN = upper limit of normal; vs. = versus.

aThese inclusion and exclusion criteria were checked during prescreening; the remainder were verified during screening.

Sources: Details included in the table are from the sponsor’s summary of clinical evidence22 and the DUO-E Clinical Study Report.48

The data provided in the submission were from a global population data cut-off of April 12, 2023, when clinical study protocol version 5.0 was in effect. The study design for the DUO-E trial consisted of a prescreening phase, screening phase, on-treatment phase (split into chemotherapy and maintenance phases) as well as a postdiscontinuation follow-up phase. During prescreening, tissue for MMR screening at a central laboratory was collected and the main inclusion and exclusion criteria (indicated as footnote “a” in Table 6) were checked. Patients underwent the screening phase while the MMR status of their sample was being tested and, following this, were randomized to begin treatment on day 1 of the study. Investigators and patients were to remain blinded to treatment assignment throughout the course of the study, except in specific circumstances. Washout periods or prespecified lengths of time were required for patients taking concomitant moderate or strong CYP3A4 inhibitors or inducers.

Figure 1: DUO-E Study Design — ITT

The image shows the study design for the ITT population in the DUO-E study. Patients were screened for the key eligibility criteria (newly diagnosed stage III or IV, or recurrent endometrial cancer; naive to first-line systemic anticancer treatment; prior adjuvant chemotherapy allowed if 12 months or more from the last treatment to relapse; known MMR status; prior radiotherapy allowed; all histologies except sarcomas) then randomized 1:1:1 to arm A (platinum chemotherapy plus placebo for durvalumab for 6 cycles, then placebo for olaparib plus placebo for durvalumab in the maintenance phase [cycles 7 and beyond]), arm B (platinum chemotherapy plus durvalumab for 6 cycles, then placebo for olaparib plus durvalumab in the maintenance phase [cycles 7 and beyond]), or arm C (platinum chemotherapy plus durvalumab for 6 cycles, then olaparib plus durvalumab in the maintenance phase [cycles 7 and beyond]). Randomization was stratified by MMR status, recurrent disease status, and geographic region.

bd = twice a day; CTX = platinum-based chemotherapy; MMR = mismatch repair; Q3W = every 3 weeks; Q4W = every 4 weeks.

aChemotherapy was to have been administered for a maximum of 6 cycles.

bMaintenance treatment was to continue until progression of disease or other discontinuation criteria were met.

cMMR status was to be known before randomization.

Source: details included in the figure are from the sponsor’s summary of clinical evidence.22

Notable changes to the protocol between versions 1.0 and 5.0 included: the definitions for end of treatment and when a patient was considered to have completed the study (April 2021) were revised, the PFS futility boundary and analysis time point were updated (June 2022), and the statistical analysis was updated so that 2 PFS comparisons (durvalumab plus SOC versus SOC alone, and durvalumab plus olaparib plus SOC versus SOC alone) could be tested independently. Other updates to the statistical analysis included updates to the statistical analysis method, sample size assumptions, timing of the primary analysis of PFS, multiplicity testing strategy, and an assumption of a 3-month lag for durvalumab plus SOC (June 2022). Version 6.0 of the study protocol was implemented in January 2023.

Populations

Inclusion and Exclusion Criteria

The DUO-E study enrolled adult (aged 18 years or older) female patients with a histologically confirmed diagnosis of epithelial endometrial carcinoma (excluding sarcomas). The cancer status was measurable per Response Evaluation Criteria in Solid Tumours Version 1 (RECIST 1.1) and could be in any of the following categories: newly diagnosed stage III following surgery or diagnostic biopsy, newly diagnosed stage IV with or without disease following surgery or diagnostic biopsy, or recurrent disease when the potential for cure by surgery alone or in combination was poor. Patients had to be naive to first-line systemic anticancer therapy, except when prior adjuvant chemotherapy had been used (e.g., in the context of prior surgery or radiotherapy) and at least 12 months or more had elapsed from the last treatment to the recurrence of disease. Key exclusion criteria included unresolved toxicities from prior anticancer therapy (with exceptions), prior radiotherapy administered to more than 30% of the bone marrow or with a wide field of radiation within 4 weeks of beginning the study, any previous immune-mediated therapy, concurrent hormonal therapy for noncancer conditions, history of another primary malignancy (with exceptions) or major surgeries within 2 weeks of starting the study treatment. Full detailed inclusion and exclusion criteria are in Table 6.

Tumour markers were not used for determining patient eligibility, but were used to allow for stratification by MMR status. Other putative DNA damage response markers (BRCA gene mutation status, presence of HRR gene mutation, and so forth) and putative immune-oncology markers (for example, PD-L1 expression on tumour and immune cells) were tested retrospectively for subgroup analyses.

Interventions

Patients began treatment on the day of randomization or, in the event of logistical challenges, no later than 3 calendar days following randomization. Treatment in each group was divided into an initial chemotherapy phase for up to 6 cycles, followed by a maintenance phase for cycles 7 and beyond in patients who experienced a response. Patients received the following interventions based on their assigned treatment arm:

The carboplatin and paclitaxel regimens were to be continued for a maximum of 6 cycles but could be reduced to a minimum of 4 cycles if required due to toxicity.

Durvalumab or its placebo were available in a 500 mg vial containing 50 mg/mL solution for IV infusion after dilution. The dose was administered using an IV bag with 0.9% (w/v) saline or 5% (w/v) dextrose. If a patient’s weight fell to 30 kg or less using treatment, weight-based dosing of 20 mg/kg was administered. Dose delays of up to 12 weeks were permitted for durvalumab under prespecified circumstances, but dose reductions were not permitted. A cycle was counted if treatment was started, even if the full dose was not delivered.

The order of infusions for the chemotherapy phase was durvalumab or placebo followed by paclitaxel and then carboplatin. Dosing intervals in the maintenance phase were permitted to be shortened as clinically feasible to align treatment cycles with the schedule for the assessments of tumour efficacy (RECIST 1.1) and HRQoL. The subsequent time between 2 consecutive doses was not permitted to be less than 21 days, based on the half-life of durvalumab. Maintenance treatments were continued until objective disease progression (per RECIST 1.1), unless there was unacceptable toxicity, withdrawal of consent, or another discontinuation criterion was met. In cases of doubt regarding radiological disease progression, patients could continue study treatment(s) for the purpose of confirming disease progression, with a follow-up scan in 4 weeks or less if they were not experiencing any significant, unacceptable, or irreversible toxicities, in the opinion of the investigator. The discontinuation criteria were any of the following occurrences:

All patients continued to be assessed for radiological tumours, according to the study schedule, until objective radiological disease progression, irrespective of any treatment delays or discontinuation of study treatment. Once a patient progressed, they were followed as per local clinical practice; in the case of a second progression, assessments were planned for every 12 weeks and survival status was to be assessed every 2 months until the final analysis of the study.

Restrictions, Concomitant Medications, and Rescue Medications During the DUO-E Trial

Patients who were enrolled in the study and had been on moderate or strong cytochrome P450 3A (CYP3A) inducers or inhibitors were required to discontinue them during a 2-week washout period before beginning the study. The consumption of grapefruit juice was prohibited during the maintenance phase of the study (i.e., during the administration of olaparib or its placebo). Strong and moderate CYP3A inhibitors or inducers were prespecified not to be taken with olaparib, but if no suitable alternative was found, then the dose of olaparib was reduced for the period of concomitant administration. Medications that are substrates for CYP3A4, including CYP2B6, OATP1B1, OACT3, OCT1, OCT2, MATE1, and MATEK1, were to be used with caution. Warfarin was permitted with a recommendation to monitor the international normalized ratio at prespecified intervals. Palliative radiotherapy was permitted for the treatment of pain at the site of bony metastases that were present at baseline, provided the investigator did not feel they were indicative of clinical disease progression, and the study treatment was to be discontinued and resumed at prespecified time points.

Prohibited medications included other anticancer drugs, immunosuppressive medications (e.g., systemic corticosteroids at doses exceeding 10 mg/kg/day of prednisone or equivalent, methotrexate, tumour necrosis factor alpha blockers), EGFR tyrosine kinase inhibitors, live virus vaccines, live bacterial vaccines, and herbal or natural remedies that may have immunomodulating effects. Patients were permitted to continue the use of denosumab or bisphosphonate for bone disease provided these were started at least 4 weeks before beginning study treatment. For each prohibited medication class, prespecified guidance was provided in the study protocol. Full details of the restricted concomitant therapies are in Table 7.

Two rescue treatments, infliximab (e.g., for colitis) and mycophenolate mofetil (e.g., for hepatitis), were permitted for any immune-mediated AEs experienced by patients. Dose modifications for the management of AEs (including renal impairment) for durvalumab were prespecified in the study protocol.

Table 7: Relevant Prohibited and Restricted Medications for the DUO-E Study — dMMR Subgroup

Treatments prohibited or restricted for concomitant use during study

Medication or class of drug

Prohibited medications

Patients receiving durvalumab or placebo

Immunosuppressive medications, including but not limited to, systemic corticosteroids at doses exceeding 10 mg/day of prednisone or equivalent, methotrexate, azathioprine, and blockers of tumour necrosis factor alpha

Herbal and natural remedies that may have immune-modulating effects

Other anticancer therapy:

  • any concurrent chemotherapy, immunotherapy, or biologic or hormonal therapy for cancer treatment other than those under investigation in this study

  • radiotherapy (except palliative; refer to subsequent section on restricted medications)

  • biological therapy

  • mAbs against CTLA-4, PD-1, or PD-L1 other than those under investigation in this study

  • other novel drugs

  • Live virus vaccines

  • Live bacterial vaccines

EGFR tyrosine kinase inhibitors

Restricted medications

Patients receiving durvalumab or placebo

Palliative radiotherapy

Administration of other anticancer drugs

dMMR = mismatch repair deficient; mAb = monoclonal antibody.

Note: Hormone replacement therapy was acceptable.

Source: Details included in the table are from the DUO-E study protocol.49

Outcomes

A list of efficacy end points assessed in this Clinical Review Report is provided in Table 8, followed by descriptions of the outcome measures. Summarized end points are based on outcomes included in the sponsor’s summary of clinical evidence as well as any outcomes identified as important to this review according to the clinical experts consulted for this review and input from patient and clinician groups and public drug plans. Using the same considerations, the review team selected end points that were considered to be most relevant to inform expert committee deliberations and finalized this list of end points in consultation with members of the expert committee.

The included time-to-event end point outcomes for PFS and OS have been summarized in this report and assessed at 12- and 18-month time points using GRADE; these measures and time points were chosen because they are standard measures of response to treatment in oncology and provide the longest follow-up available from the DUO-E trial. To provide additional context for efficacy, ORR, DOR, and TDT have been summarized in this report but were not included in GRADE. The EORTC QLQ-C30 and EORTC QLQ-EN24 scores were summarized in this report and included in GRADE; these measures were chosen as they measure quality of life in patients with cancer and with endometrial cancer, respectively. The HRQoL outcomes at 18 weeks, which corresponds to the last infusion of the chemotherapy phase, have been summarized, and summarized again at 42 weeks, which corresponds to the sixth month of maintenance therapy. Select notable harms outcomes considered important for informing expert committee deliberations were also assessed using GRADE; these included immune-mediated AEs and infusion-related reactions.

Of note, results for arm B relative to arm A, and arm C relative to arm A, were reported separately in the ITT population. Results for arm B relative to arm A are reported only for the dMMR subgroup in this review. The submission also included a post hoc analysis of arm B versus arm C, but this was not appraised in the review because the comparison was not relevant to the reimbursement request.

Table 8: Outcomes Summarized From the DUO-E Study

Outcome measure

Time point

DUO-E study

PFS

Time from randomization until the date of objective disease progression or death from any cause in the absence of progression.

Primarya

OS

Time from the date of randomization until death due to any cause.

Secondarya

ORR

A response of CR or PR recorded at 1 visit and confirmed by repeat imaging no fewer than 4 weeks after the visit at which the response was first observed, with no evidence of progression between the initial visit and the visit to confirm the CR or PR.

Secondary

DOR

Time from the date of first documented response until date of documented progression or death in the absence of disease progression.

Secondary

TDT

Time from randomization to the earlier of the date of study treatment discontinuation or date of death.

Secondary

EORTC QLQ-C30 global health status (QoL) score change from baseline

Assessed at baseline (before dosing on day 1 of cycle 1), then q.3.w. (± 3 days) for the first 18 weeks, and then q.4.w. (± 3 days) until a second disease progression or death.

Patients were also assessed at the study treatment discontinuation visit (+ 2 days) unless completed within 3 days before the visit and, for those who discontinued for reasons other than PD, also at the PD assessment visit (+ 2 days) unless an assessment had been completed within 3 days before the visit.

Patients had an assessment at the visit marking the start of maintenance therapy unless an assessment had been completed within 3 days before the visit.

Secondary

EORTC QLQ-EN24:

  • Change from baseline in the back or pelvic pain score

  • Change from baseline in the urological symptoms score

Assessed at baseline (before dosing on day 1 of cycle 1), then q.3.w. (± 3 days) for the first 18 weeks, and then q.4.w. (± 3 days) until a second disease progression or death.

Patients were also assessed at the study treatment discontinuation visit (+ 2 days) unless an assessment had been completed within 3 days before the visit and, for those who discontinued for reasons other than PD, also at the PD visit (+ 2 days) unless an assessment had been completed within 3 days before the visit.

Patients had an assessment at the start of maintenance therapy visit unless an assessment had been completed within 3 days before the visit.

Secondary

CR = complete response; dMMR = mismatch repair deficient; DOR = duration of response; EORTC QLQ-C30 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30; EORTC QLQ-EN24 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire – Endometrial Cancer Module; ITT = intention to treat; ORR = objective response rate; OS = overall survival; PD = progressive disease; PR = partial response; q.3.w. = every 3 weeks; q.4.w. = every 4 weeks; QoL = quality of life; PFS = progression-free survival; TDT = time to study treatment discontinuation or death.

aStatistical testing for these end points was adjusted for multiple comparisons (e.g., hierarchal testing) in the ITT analysis. Statistical testing was not controlled for multiplicity in the dMMR subgroup analysis.

Sources: Details included in the table are from the sponsor’s summary of clinical evidence22 and additional information provided by the sponsor.50

Survival Outcomes

All patients were given radiological tumour assessments according to the study schedule (every 9 weeks for the first 18 weeks relative to randomization, then every 12 weeks, plus or minus 1 week, until RECIST 1.1–defined radiological progression).

Progression-Free Survival

PFS was defined as the time from randomization to the date of objective disease progression or death from any cause in the absence of progression, regardless of whether the patient withdrew from therapy or received another anticancer therapy before progression. PFS determined by the investigator was the primary outcome in the DUO-E trial; PFS assessment by blinded independent central review (BICR) was used as a prespecified sensitivity analysis. The PFS time was always derived based on scan/assessment dates and not visit dates. RECIST 1.1 assessments or scans contributing toward a particular visit were performed on different dates. The following rules were applied:

Overall Survival

OS was defined as the time from the date of randomization until death due to any cause, regardless of whether the patient withdrew from randomized therapy or received another anticancer therapy (i.e., date of death or censoring minus date of randomization plus 1). OS determined by the investigator was a secondary outcome.

Objective Response Rate

ORR was defined as the proportion of patients with measurable disease at baseline who had a CR or partial response (PR), as determined by the investigator. A confirmed response of CR or PR meant that the response had been recorded at 1 visit and confirmed by repeat imaging no sooner than 4 weeks after the visit when the response was first observed, with no evidence of progression between the initial and confirmation visit. Patients who discontinued treatment without progression, or who received a subsequent anticancer therapy and then experienced a response, were not included as responders in the ORR assessment. If PRs were recorded for a patient at 2 nonconsecutive visits, the patient was defined as a responder if the time between the 2 visits was greater than 4 weeks and there was no progressive disease between the 2 visits. Similarly, if a patient had a response of “CR not evaluable” recorded at 1 visit, and then a CR was recorded at another visit, then a best response of CR was assigned if the time between the 2 visits was greater than 4 weeks.

Duration of Response

DOR was defined as the time from the date of first documented response until the date of documented progression or death in the absence of disease progression (i.e., date of PFS event or censoring minus the date of first response plus 1). DOR was defined only for patients classified as responders in the ORR analysis. The end of response had to have coincided with the date of progression or death from any cause that was used for the PFS outcome. The time of the initial response was defined as the latest of the visit dates at which the first CR or PR was recorded and subsequently confirmed. If a patient’s cancer did not progress following a response, then their DOR used the PFS censoring time.

Time to Study Treatment Discontinuation or Death

TDT was defined as the time from randomization to the earlier of either the date of study treatment discontinuation or death. Treatment discontinuation was defined as all investigational products being discontinued. For example, if a patient had received both durvalumab and olaparib and they were discontinued on different dates, the date of discontinuation was the later date; if a patient had received only 1 of the study treatments, then the date of discontinuation was the date that drug was discontinued; if a patient had not received either study treatment, they were censored at day 1.

HRQoL Outcomes

HRQoL measures, including the EORTC QLQ-C30 and EORTC QLQ-EN24, were assessed at baseline (before dosing on day 1 of cycle 1), then every 3 weeks (± 3 days) for the first 18 weeks, and then every 4 weeks (± 3 days) until a second disease progression or death. Patients were also assessed at the study treatment discontinuation visit (+ 2 days) unless an assessment had been completed within 3 days before the visit; for those who discontinued for reasons other than progressive disease, HRQoL was assessed for patients at the progressive disease assessment visit (+ 2 days) unless an assessment had been completed within 3 days before the visit. Patients also had an HRQoL assessment at the visit marking the start of maintenance therapy, unless an assessment had been completed within 3 days before the visit. Full details of the HRQoL measures, including validation and MIDs, are presented in Table 9.

EORTC Quality of Life Questionnaire Core 30

The EORTC QLQ-C30 is a 30-item, cancer-specific, patient-reported HRQoL questionnaire designed to assess the physical, psychological, and social functioning of patients with cancer.51 The functional scales range from 0 to 100, with higher scores indicating better functioning. An MID of 10 points, based on the recommendation to use 10% of the scale as a cut-off of meaningful change, has been identified in patients with breast and small-cell lung cancer.52 No MID was available in the literature for patients with endometrial cancer.

EORTC Quality of Life Questionnaire – Endometrial Cancer Module

The EORTC QLQ-EN24 is a 24-item, cancer-specific patient-reported outcome measure designed to assess the HRQoL of patients with endometrial cancer. It is intended to be used alongside the EORTC QLQ-C30 to capture both disease and treatment-specific aspects of quality of life in patients with endometrial cancer. All questions are rated on a 4-point Likert scale.53 The functional scales range from 0 to 100, with higher scores indicating better functioning. The 10 symptom scales range from 0 to 100, with higher scores indicating more severe symptoms. The pain in back and pelvis score and the urological symptoms score are included in this review. No MID was identified for patients with endometrial cancer.

Table 9: Summary of Outcome Measures and Their Measurement Properties

Outcome measure

Type

Conclusions about

measurement properties

MID

EORTC QLQ-C30

The EORTC QLQ-C30 is a 30-item, cancer-specific, patient-reported HRQoL questionnaire designed to assess the physical, psychological, and social functioning of patients with cancer.51

It uses 4- and 7-point Likert scales and covers 15 domains, which include both functional and symptom scales. The functional scales (ranging from 0 to 100, with higher scores indicating better functioning) assess global health quality of life and physical, role, emotional, cognitive, and social functioning.

The symptom scales (ranging from 0 to 100, with higher scores indicating more severe symptoms) assess fatigue, pain, nausea and vomiting, dyspnea (shortness of breath), insomnia, appetite loss, constipation, diarrhea, and financial difficulty.51

Validity: Construct, criterion, and discriminate validity were demonstrated in patients with ovarian, gestational trophoblastic disease, and other types of cancers.54-56 The EORTC QLQ-30 was found to adequately assess the effect of expected toxicities on patients’ HRQoL during and following treatment.57 No reported validation studies were found for patients with endometrial cancer.

Reliability: Minimum reliability with Cronbach alpha > 0.70 was met in 7 of 9 subscales in patients with gestational trophoblastic disease, ovarian cancer, and other types of gynecological cancers.55

Responsiveness: There were no data available for responsiveness.

A literature search was conducted to identify MIDs for the EORTC- QLQ-EN30 in patients with endometrial cancer and none were identified.

In a study analyzing data from 13,015 patients across 9 cancer types, anchor-based MIDs for EORTC QLQ-C30 scores mostly ranged from 5 to 10 points, with differences between improvement and deterioration typically within a 2-point range.58

Osoba et al. (1998)52 identified 5 to 10 points for a small change, 10 to 20 points for a moderate change, and more than 20 points for a large change, aligning closely with findings from King et al. (2014).59 This led to the recommendation by Osoba et al. to use 10% of the scale as a cut-off to define a clinically meaningful change.60

EORTC QLQ-EN24

The EORTC QLQ-EN24 is a 24-item, cancer-specific patient-reported outcome measure designed to assess the HRQoL of patients with endometrial cancer. It is intended to be used alongside the EORTC QLQ-C30 to capture both disease- and treatment-specific aspects of quality of life in patients with endometrial cancer. All questions are rated on a 4-point Likert scale.53

The questionnaire consists of 24 items distributed across 10 symptom scales and 3 functional scales. The functional scales (ranging from 0 to 100, with higher scores indicating better functioning) include assessments of sexual interest, sexual activity, and sexual enjoyment. The 10 symptom scales (ranging from 0 to 100, with higher scores indicating more severe symptoms) assess lymphedema, urological symptoms, gastrointestinal symptoms, body image problems, and sexual or vaginal problems, along with single items addressing back or pelvic pain, tingling or numbness, muscular or joint pain, hair loss, and taste changes.53

Validity: Among patients with endometrial cancer, the EORTC QLQ-EN24 demonstrated good convergent and discriminant validity compared with the EORTC QLQ-C30.53,61,62

Reliability: Test–retest reliability was observed for all multi-item scales (range, 0.81 to 0.92) and the single-item questions (range, 0.66 to 0.97).53

For the urological symptoms scale, good test–retest reliability was shown (Cronbach alpha = 0.92).53

Good internal consistency was demonstrated for 5 multi-item scales (Cronbach alpha range, 0.74 to 0.86). For the urological symptoms scale, internal consistency ranged from 0.75 to 0.86.53,61,62

Responsiveness: There were no data available for responsiveness.

A literature search was conducted to identify the MID for the EORTC- QLQ-EN24 In patients with endometrial cancer and none were identified.

EORTC QLQ-C30 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30; EORTC QLQ-EN24 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire – Endometrial Cancer Module; HRQoL = health-related quality of life; ICC = interclass correlation; MID = minimal important difference.

Statistical Analysis

Sample Size and Power Calculations

Sample size calculations were performed for the overall study following the prespecified statistical analysis plan and included patients with either pMMR or dMMR endometrial cancer. No prespecified sample size calculations were performed for patients with a specific MMR status; thus, none of the comparisons for the dMMR cohort were sufficiently powered to detect statistically significant differences between durvalumab plus carboplatin and paclitaxel versus SOC.

Globally, the aim was to randomize approximately 699 eligible patients with endometrial cancer at a 1:1:1 ratio to the study treatments. The sample size calculations were based on the following assumptions:

If the average true PFS HR was 0.70 for arm B versus arm A, the study would provide 80% power to demonstrate a statistically significant difference for PFS with an overall 2-sided significance level of 2.5%, which would translate to a 5.5-month benefit in median PFS over 12 months relative to arm A. The smallest treatment difference that would be statistically significant would be an HR of 0.77. If the average true PFS HR was 0.55 for arm C versus arm A, the study would provide more than 99% power to demonstrate a statistically significant difference for PFS with an overall 2-sided significance level of 2.5%; this would translate to a 11.2-month benefit in median PFS over 12 months relative to the control arm. The smallest treatment difference that would be statistically significant would be an HR of 0.76.

In addition, the sample size was derived on the following assumptions:

The power calculations for OS were based on the following assumptions:

The first IA of OS was performed at the time of the primary PFS analysis. For the comparison of arm B versus arm A and arm C versus arm A, the submission anticipated that 74% of the target number of OS events would have occurred at this time (i.e., approximately 208 of 280 OS events per comparison). A further analysis of OS was performed at the same calendar time when approximately 244 OS events (87% of the target number of OS events) occurred for the comparisons of interest, approximately 51 months after the first patient was randomized. A final analysis of OS was performed at the same calendar time when approximately 280 OS events occurred (60% maturity) for the comparisons of interest, approximately 63 months after the first patient was randomized.

If the average true OS HR was 0.75 for the comparison of the experimental arm versus control, the study would provide 55% power to demonstrate a statistically significant difference for OS with an overall 2-sided significance level of 2.5%, or a 7.9-month benefit in median OS over 22.7 months relative to arm A. The smallest treatment difference that would be statistically significant is an HR of 0.76. These estimates were based on the assumption that no confounding would occur.

Statistical and Analytical Plans

Details of the statistical analyses for both the primary analysis (i.e., the ITT population) and the dMMR subgroup for the included outcomes are summarized in Table 10. Briefly, the primary analyses separately compared arm B (durvalumab plus SOC) with arm A (SOC), and arm C (durvalumab plus olaparib plus SOC) with arm A (SOC). As previously noted, the results for the analysis comparing arm C with arm A are not included in this report. The study protocol was modified in June 2022, updating the ITT population statistical analysis so that 2 PFS comparisons could be tested independently; the changes included updates to the statistical analysis method, sample size assumptions, timing of the primary analysis PFS, multiplicity testing strategy, and an assumption of a 3-month lag for arm B. The primary analysis was prespecified to be undertaken when approximately 299 PFS events had occurred (64% maturity) for the arm B versus arm A comparison, and when approximately 281 PFS events had occurred (60% maturity) for the comparison of arm C versus arm A. No information was provided on any prespecified statistical analyses of the dMMR subgroup indicated in the reimbursement request, and no outcomes were adjusted for multiple testing in this cohort of patients. The data cut-off for the primary analysis of PFS was April 12, 2023; the first IA for OS was also performed using this data.

Statistical Tests and Models

Some general principles were prespecified in the submission and followed for the statistical analysis. Among the key principles were the following: for safety end points, the last observation before the first dose of study treatment was considered the baseline measurement, unless otherwise specified; for the efficacy and HRQoL end points, baseline was defined as the last assessment before randomization. However, if an evaluable assessment was not available before randomization but was available before the first dose of study treatment, then this assessment was to be used as baseline. Change from baseline was calculated as the posttreatment value of the variable minus the value at baseline. The results of all statistical analyses were presented using corresponding CIs and 2-sided P values, unless otherwise stated.

Time-to-Event Analyses: All time-to-event end points, including the primary end point of PFS, were analyzed in the ITT population using a log-rank test stratified by MMR status (proficient versus deficient), disease status (recurrent versus newly diagnosed), and geographic region (Asia versus rest of world) for each pairwise comparison independently. Of note, stratification factors were excluded from the model (region first, followed by MMR status and then disease status) until there were at least 5 events in each stratum of interest across the 3 treatment arms. The HR and its CI were estimated from a stratified Cox proportional hazards model that included the same stratification factors as strata. The CIs were calculated using a profile likelihood approach. In the dMMR subgroup, the HR and corresponding 95% CI were estimated from an unstratified Cox proportional hazards model. Details on patient censoring are described in Table 10 under Handling of missing data.

HRQoL and Descriptive Analyses: Descriptive statistics were used for all variables, as appropriate, and were presented by treatment group. Continuous variables were summarized by the number of observations, mean, SD, median, minimum, and maximum. For log-transformed data, the geometric mean, coefficient of variation, and the median, minimum, and maximum were reported. Categorical variables were summarized by frequency counts and percentages for each category. Unless otherwise stated, percentages were calculated out of the total population for the corresponding treatment arm.

Analysis models were stratified by the randomization stratification factors: MMR status (MMR-proficient tumours versus dMMR tumours), disease status (recurrent endometrial cancer versus newly diagnosed endometrial cancer), and geographic region (Asia versus rest of world). The strata obtained from the randomization code were used, as opposed to the values recorded in the electronic case report form. The submission provided rationales for the choice of stratification factors. Specifically, it was noted that MMR status and disease recurrence status impact treatment response, and Asian countries may have different approaches to managing advanced disease (e.g., greater emphasis on surgery versus systemic therapy). The submission did not contain details on whether other factors were considered for stratification and what the results of those deliberations might be.

Table 10: Statistical Analysis of Efficacy End Points for the DUO-E Study

End point

Statistical model

Adjustment factors

Handling of missing data

Sensitivity analyses

PFS

Primary analysis of arm B vs. arm A using investigator assessments (RECIST 1.1)

The PFS analysis was performed using a log-rank test stratified in accordance with the predefined pooling strategy.a The HR and its CI were estimated for the ITT population from a stratified Cox proportional hazards model (with ties = Efron and the stratification factors as strata) and the CI calculated using a profile likelihood approach.

The HR and CI for the dMMR subgroup were estimated from an unstratified Cox proportional hazard model.

Summaries of the number and percentage of patients experiencing a PFS event, and the type of event (RECIST 1.1 progression or death) were provided along with median PFS for each treatment. The proportion of patients alive with progression-free disease at 6 monthly intervals from randomization were summarized (using a KM analysis) and presented by treatment group.

The stratification variables were based on the values entered into the IVRS at randomization:

  • disease status (recurrent vs. newly diagnosed)

  • MMR status (proficient vs. deficient)

  • region (Asia vs. rest of world).

No details were provided on adjustment factors in the dMMR subgroup model.

If the patient had no evaluable visits or did not have baseline data, they were censored at day 1 unless they died within 2 visits (19 weeks) of baseline (2 × 9 = 18 weeks plus 1 week to allow for a late assessment within the visit window).

Patients with cancer that had not progressed, who had died, or who had not died and whose cancer had not progressed after 2 missed assessments were censored at the latest study visit or the latest visit before the 2 missed assessments, or at day 1.

Sensitivity analyses (durvalumab vs. control) using investigator assessments (RECIST 1.1):

  • interval-censored analysis to assess evaluation time bias

  • analysis using alternative censoring rules to assess attrition bias.

Sensitivity analysis using a stratified log-rank test using BICR assessments (RECIST 1.1) to assess ascertainment bias:

  • arm B vs. arm A.

Additional analysis using Cox proportional hazards models to determine the consistency of treatment effect between subgroups using the approach of Gail and Simon (1985).65

OS

Stratified log-rank test for arm B vs. arm A.

The number and proportion of patients alive at 6-month intervals from randomization (month 6, 12, 18, 24, and so forth) were summarized using a KM analysis and presented by treatment group.

The HR and its CI were estimated for the ITT population using a stratified Cox proportional hazards model (with ties = Efron and the stratification factors as strata) and the CI calculated using a profile likelihood approach.

The HR and CI for the dMMR subgroup was estimated from an unstratified Cox proportional hazard model.

The stratification variables were based on the values entered into the IVRS at randomization:

  • disease status (recurrent vs. newly diagnosed)

  • MMR status (proficient vs. deficient)

  • region (Asia vs. rest of world).

No details were provided on adjustment factors in the dMMR subgroup model.

If a patient was known to have died but only a partial death date was available, then the date of death was imputed as the last date (from the database) at which they were known to be alive plus 1. The available death date information was then used, with any missing data added as follows:

  • If only the day was missing, the first of the month was used.

  • If both the day and month were missing, the first of January was used.

If there was evidence of death but the date was missing entirely, it was treated as missing, i.e., OS was censored at the last known alive date.

Sensitivity analysis using a KM plot of time to censoring, where the censoring indicator of the primary analysis is reversed to assess attrition bias:

  • arm B vs. arm A.

TDT

The TDT analysis was performed using a log-rank test stratified in accordance with the predefined pooling strategy. The HR and its CI were estimated for the ITT population from a stratified Cox proportional hazards model (with ties = Efron and the stratification factors as strata) and the CI calculated using a profile likelihood approach.

The HR and CI for the dMMR subgroup were estimated from an unstratified Cox proportional hazard model.

The stratification variables were based on the values entered into the IVRS at randomization:

  • disease status (recurrent vs. newly diagnosed)

  • MMR status (proficient vs. deficient)

  • region (Asia vs. rest of world).

No details were provided on adjustment factors in the dMMR subgroup model.

Any patient not known to have died at the time of analysis and not known to have discontinued study treatment was censored based on the last recorded date on which the patient was known to be alive.

None.

ORR

Logistic regression models (durvalumab vs. control), adjusting for the same stratification factors as the primary end point as covariates in the model.

The results of the analyses were presented in terms of an OR (OR > 1 favours investigational treatment arm) together with its associated profile likelihood 95% CI and P value (based on twice the change in log-likelihood resulting from the addition of a treatment factor to the model).

If there were not enough responses for a meaningful analysis using logistic regression, then a CMH test was presented.

A descriptive summary of the number and percentage of patients with a confirmed tumour response (CR or PR) according to the investigator based on the number of patients with measurable disease at baseline.

The stratification variables were based on the values entered into the IVRS at randomization:

  • disease status (recurrent vs. newly diagnosed)

  • MMR status (proficient vs. deficient)

  • region (Asia vs. rest of world).

No details were provided on adjustment factors in the dMMR subgroup model.

Patients who discontinued treatment without progression and received a subsequent anticancer therapy and then experienced a response were not included as responders in the ORR (i.e., both visits contributing to a response had to be before subsequent therapy for the patient to be considered a responder).

None.

DOR

Descriptive data were provided in patients whose disease responded, including the associated KM curves (without any formal comparison or P value attached).

Median DOR was calculated from the KM curve. Only patients with a confirmed response were included in this summary table.

NA

If a patient’s cancer did not progress following a response, then their DOR used the PFS censoring time. A DOR was defined only for patients classified as responders in the ORR analysis.

None.

Change from baseline

(EORTC QLQ-C30 and EORTC QLQ-EN24 scores)

MMRM analysis: Arm B vs. arm A.

NA

The following protocol was used for missing items: If at least half of the items from the multi-item scale were answered, then all items that were completed were used, and any items with missing values were ignored when making the calculations. If fewer than half of the items were answered, the scale score was set to missing.

For unanswered single-item measures, the score was set to missing.

None.

BICR = blinded independent central review; CI = confidence interval; CMH = Cochran-Mantel-Haenszel; CR = complete response; dMMR = mismatch repair deficient; DOR = duration of response; EORTC QLQ-C30 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30; EORTC QLQ-EN24 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire – Endometrial Cancer Module; HR = hazard ratio; ITT = intention to treat; IVRS = interactive voice response system; KM = Kaplan-Meier; MMR = mismatch repair; MMRM = mixed model for repeated measures; NA = not applicable; OR = odds ratio; ORR = objective response rate; OS = overall survival; PFS = progression-free survival; PR = partial response; RECIST 1.1 = Response Evaluation Criteria in Solid Tumours Version 1.1; SOC = standard of care; TDT = time to study treatment discontinuation or death; vs. = versus.

aFor the analysis of the PFS primary end point, if there were fewer than 5 events per stratum, the following pooling strategy was applied across all 3 arms: Strata were calculated as stratum 1 × stratum 2 × …stratum X × treatment; so, with 3 stratification factors for every 2 levels and 3 treatments, the total was 24 strata (2 × 2 × 2 × 3). Stratification factors were removed in the following order until there were at least 5 events in each stratum: Region (Asia vs. rest of world), MMR status (proficient vs. deficient), and disease status (recurrent vs. newly diagnosed). The same pooling was applied for both primary comparisons (arm B vs. arm A and arm C vs. arm A). All analyses were then conducted with the same stratification factors that were used for the primary analysis of PFS in the ITT population. If there were secondary end points or sensitivity analyses that still did not conform to the 5-event rule per stratum, an unstratified analysis was conducted.

Source: Details included in the table are from the sponsor’s summary of clinical evidence.22

Sensitivity and Subgroup Analyses

Prespecified subgroup analyses of the ITT population were conducted for several end points. The subgroup analyses for the stratification factors were based on the values entered into the IVRS; all other factors were based on values recorded on the electronic case report form, as indicated previously, or third-party vendor data. No adjustment to the significance level for testing was made. Because the subgroup analyses were undertaken for the ITT population, the results were not included in the report.

Multiple-Testing Procedure

A multiple-testing procedure with a gatekeeping strategy was used for PFS and OS and for the treatment comparisons of interest for the ITT population. Details of the multiple-comparisons strategy are in Figure 2. An alpha-exhaustive recycling strategy was employed in which the test mass that became available after each rejected null hypothesis was recycled to a secondary hypothesis not yet rejected. If 1 test in the family could be rejected, the family was rejected and the total alpha assigned to the family was recycled to the next multiple-testing level. The testing procedure stopped when the entire test mass was allocated to nonrejected null hypotheses.

Timing of Efficacy Analyses

The timing of the efficacy analyses for PFS and OS in the ITT population is summarized in Table 11. Briefly, the analyses were prespecified to occur after specific thresholds for PFS events were reached. Once a PFS threshold was reached, the OS IA was undertaken. Two IAs and a final analysis for OS were planned.

In the ITT population analysis, the OS tests for the same comparison were to be considered as 1 test family. The alpha level allocated to OS was controlled at the interim and primary time points by using the Lan DeMets66 spending function that approximated an O’Brien-Fleming approach; with this method, the alpha level applied at the interim time point depends on the proportion of information available. If an IA or primary analysis was found to be statistically significant, the overall 2-sided alpha was to be allocated to the next level. For a given hypothesis, if the IA did not meet the criterion for stopping for superiority, the follow-up would continue until the final target number of OS events for that comparison had been observed, following which the hypothesis would be retested. If the null hypothesis was rejected, subsequent testing would continue hierarchically.

Included in the sponsor’s current submission were the results from the primary PFS analysis and first IA for the OS analysis in the ITT population. The dMMR subgroup was derived from the same data cut-off; however, no information was provided on whether similar testing methods (i.e., the Lan DeMets and O’Brien-Fleming approach) were undertaken for the analysis of this subgroup.

Figure 2: Multiple-Comparisons Strategy — DUO-E Study ITT Population

The figure depicts the multiple-comparisons strategy employed for the ITT analysis in the DUO-E study. A 5% alpha was allocated between 2 arms of 2.5% each (PFS for durvalumab plus placebo, and PFS for durvalumab plus olaparib). The 2.5% was allocated using the Lan DeMets spending function approximating the O’Brien-Fleming approach. If the PFS null hypothesis testing was significant, the test mass moved down the boxes in the figure to test OS. The 2.5% could also pass between the durvalumab plus placebo and durvalumab plus olaparib arms.

H = hypothesis; ITT = intention to treat; OS = overall survival; PFS = progression-free survival; vs = versus.

Note: The alpha levels presented in the figure are 2-sided.

Source: Details included in the figure are from the sponsor’s summary of clinical evidence.22

The submission noted that the IA and primary analysis boundaries for the OS analysis would be derived from the number of events observed in the study, and that the numbers in this figure are for reference only. As noted, no multiple testing was conducted for the dMMR subgroup.

Table 11: Timing of Efficacy Analyses for PFS and OS in the DUO-E Study — ITT Population

Analysis

Time point

Primary PFS and first IA for OS

The same calendar time when there were approximately 299 PFS events across arm B and arm A, and when there were approximately 281 events across arm C and arm A

Second IA for OS

The same calendar time when there were approximately 244 deaths across arm B and arm A, and approximately 244 deaths across arm C and arm A (not included in submission)

Final OS analysis

The same calendar time when there were approximately 280 deaths across arm B and arm A, and approximately 280 deaths across arm C and arm A (not included in submission)

IA = interim analysis; ITT = intention to treat; OS = overall survival; PFS = progression-free survival.

Sources: Details included in the table are from the sponsor’s summary of clinical evidence22 and the DUO-E Clinical Study Report.48

Analysis Populations

Details of the analysis sets are available in Table 12. Briefly, the full analysis set (FAS) included all randomized patients within treatment arms assigned in accordance with the randomization, regardless of the treatment actually received. Patients who were randomized but did not subsequently receive treatment were included in the FAS. The analysis of data using the FAS comprised an ITT population. Study population, demographic data, and efficacy and HRQoL results were summarized and analyzed based on the FAS, and patients were summarized based on the treatment arm they were assigned to, regardless of the treatment they received.

The safety analysis set consisted of all randomized patients who received any amount of study treatment (durvalumab or its placebo, or olaparib or its placebo). Patients who initially received a dose of durvalumab or durvalumab placebo were summarized according to the arm to which they had been randomized. Safety and treatment exposure were summarized based on the safety analysis set. For the maintenance phase, the number of patients in the safety analysis set who entered the maintenance phase (defined as having received at least 1 dose of olaparib or olaparib placebo) were also summarized.

Table 12: DUO-E Study Analysis Populations

Population

Definition

Application

FAS

The FAS included all randomized patients within treatment arms assigned in accordance with the randomization, regardless of the treatment actually received. Patients who were randomized but did not subsequently receive treatment were included in the FAS. The analysis of data using the FAS followed intention-to-treat principles.

The FAS was used to analyze efficacy data (including HRQoL), baseline characteristics data, and biomarker data. Patients were summarized based on the treatment arm to which they were randomized, regardless of the treatment they actually received.

SAS

The SAS consisted of all randomized patients who received any amount of study treatment (durvalumab or placebo, olaparib or placebo). Patients who initially received a dose of durvalumab or placebo were summarized according to the arm to which they were randomized.

Maintenance phase: Number of patients in the SAS who entered the maintenance phase (defined as having received at least 1 dose of olaparib or olaparib placebo) were summarized and additional summaries of safety by treatment phase were also generated.

Exposure, adverse events, laboratory measurements, vital signs, ECGs. Safety data were not formally analyzed but were summarized using the SAS.

PK analysis set

All patients who received at least 1 dose of durvalumab per the protocol for whom any postdose data were available and who did not violate or deviate from the protocol in ways that would have significantly affected the PK analyses were included in the PK analysis set. The population was defined by the study physician, pharmacokineticist, and statistician before any analyses were performed.

PK data.

ADA analysis set

The ADA-evaluable patients are those in the SAS who received at least 1 dose of durvalumab and had nonmissing baseline ADA data and at least 1 postbaseline ADA result.

Immunogenicity data.

dMMR subgroup

Subset to isolate the patients with dMMR cancer within arm A (SOC) and arm B (SOC plus durvalumab).

Aligned with the Health Canada indication and appraised in this review.

ADA = antidrug antibody; dMMR = mismatch repair deficient; ECG = electrocardiogram; FAS = full analysis set; HRQoL = health-related quality of life; PK = pharmacokinetic; SAS = safety analysis set; SOC = standard of care.

Source: Details included in the table are from the sponsor’s summary of clinical evidence.22

Results

Patient Disposition

Results of the patient disposition for the ITT population, including the number of screening failures and other reasons for nonrandomization, are shown in Table 13. Specific reasons for screen failure were not provided. Briefly, out of 875 patients enrolled, a total of 718 were randomized into the study and comprised the ITT population (containing patients with either pMMR or dMMR cancers). A summary of the efficacy and harms results for the ITT population is included in Appendix 1.

Table 13: Summary of Patient Disposition From the DUO-E Study — ITT Population

Patient disposition

DUO-E study

Enrolled, N

875

Not randomized, N

157

  Reasons, n (%)

    Screen failure

145 (92.4)

    Withdrawal by patient

7 (4.5)

    Death

5 (3.2)

    COVID-19 pandemic

0

ITT, N

718

Results of randomization, N

Arm A (receiving SOC): 241

Arm B (receiving SOC + durvalumab): 238

Arm C (receiving SOC + durvalumab + olaparib): 239

ITT = intention to treat; SOC = standard of care.

Source: Details included in the table are from the sponsor’s DUO-E Clinical Study Report.48

A subset of the enrolled population (i.e., patients with dMMR status) within arm A (SOC) and arm B (SOC plus durvalumab) was isolated to align the trial population with the Health Canada indication. Details of the patient disposition for this subgroup are summarized in Table 14. Of the 718 patients included in the ITT population, 143 had dMMR status: 49 were randomized to the SOC arm, 46 were randomized to the durvalumab plus SOC arm, and 48 were randomized to the durvalumab plus olaparib and SOC arm. Data related to the durvalumab plus olaparib and SOC arm in the dMMR population, and all data from all patients in the pMMR population, were omitted from this review, given that these data are not relevant to the reimbursement request or the Health Canada indication.

At the time of data cut-off, all patients had discontinued carboplatin and paclitaxel, per the protocol. The most common reason for discontinuing carboplatin and paclitaxel was reaching the maximum number of chemotherapy cycles. In the dMMR subgroup, the proportion of patients discontinuing durvalumab was numerically greater in the SOC arm relative to the SOC arm. The most common reason for the discontinuation of durvalumab (or its placebo) was objective disease progression (█████ ██ █████). A numerically higher proportion of patients in the dMMR subgroup receiving SOC (██████) discontinued the study relative to the durvalumab plus SOC arm (█████). A numerically higher proportion of patients in the dMMR subgroup receiving durvalumab (█████) reported starting the maintenance phase relative to patients receiving SOC (█████).

Table 14: Summary of Patient Disposition From the DUO-E Study — dMMR Subgroup

Patient disposition

Patients with dMMR cancer

SOC

(N = 49)

SOC + durvalumab

(N = 46)

Patients who received any treatment, n (%)a

46 (93.9)

44 (95.7)

SOC

46 (93.9)

44 (95.7)

Durvalumab or its placebo

46 (93.9)

44 (95.7)

Olaparib or its placebo

██ ███████

██ ███████

Patients who did not receive any treatmenta

██ ███████

██ ███████

Patients receiving ongoing treatment with durvalumab or its placebo at data cut-offb

██ ███████

██ ███████

Patients who discontinued treatment with durvalumab or its placebo, n (%)b

██ ███████

██ ███████

Objective disease progression

██ ███████

██ ███████

Adverse event

██ ███████

██ ███████

Patient decision

██ ███████

██ ███████

Other

██ ███████

██ ███████

Clinical deterioration

██ ███████

██ ███████

Development of study-specific discontinuation criteria

██ ███████

██ ███████

Patient lost to follow-up

██ ███████

██ ███████

Severe noncompliance to protocol

██ ███████

██ ███████

Due to COVID-19 pandemic

██ ███████

██ ███████

Patients receiving ongoing treatment with olaparib or its placebo at data cut-offb

██ ███████

██ ███████

Patients who discontinued treatment with olaparib or its placebo, n (%)b

██ ███████

██ ███████

Objective disease progression

██ ███████

██ ███████

Adverse event

██ ███████

██ ███████

Patient decision

██ ███████

██ ███████

Clinical deterioration

██ ███████

██ ███████

Other

██ ███████

██ ███████

Development of study-specific discontinuation criteria

██ ███████

██ ███████

Patient lost to follow-up

██ ███████

██ ███████

Due to COVID-19 pandemic

██ ███████

██ ███████

Severe noncompliance to protocol

██ ███████

██ ███████

Patients receiving ongoing treatment with carboplatin or substitute at data cut-offb

██ ███████

██ ███████

Patients who discontinued treatment with carboplatin or substitute, n (%)b

██ ███████

██ ███████

Maximum cycle of chemotherapy reached

██ ███████

██ ███████

Adverse event

██ ███████

██ ███████

Objective disease progression

██ ███████

██ ███████

Other

██ ███████

██ ███████

Patient decision

██ ███████

██ ███████

Clinical deterioration

██ ███████

██ ███████

Severe noncompliance to protocol

██ ███████

██ ███████

Due to COVID-19 pandemic

██ ███████

██ ███████

Development of study-specific discontinuation criteria

██ ███████

██ ███████

Patient lost to follow-up

██ ███████

██ ███████

Patients receiving ongoing treatment with paclitaxel or substitute at data cut-offb

██ ███████

██ ███████

Patients who discontinued treatment with paclitaxel or substitute, n (%)b

██ ███████

██ ███████

Maximum cycle of chemotherapy reached

██ ███████

██ ███████

Adverse event

██ ███████

██ ███████

Objective disease progression

██ ███████

██ ███████

Other

██ ███████

██ ███████

Patient decision

██ ███████

██ ███████

Clinical deterioration

██ ███████

██ ███████

Severe noncompliance to protocol

██ ███████

██ ███████

Due to COVID-19 pandemic

██ ███████

██ ███████

Development of study-specific discontinuation criteria

██ ███████

██ ███████

Patient lost to follow-up

██ ███████

██ ███████

Patients receiving any ongoing treatment at data cut-offb

██ ███████

██ ███████

Patients who discontinued all initiated treatments (carboplatin, paclitaxel, durvalumab or its placebo, and olaparib or its placebo)b

██ ███████

██ ███████

Patients ongoing study at data cut-off

██ ███████

██ ███████

Patients who terminated study, n (%)c

██ ███████

██ ███████

Death

██ ███████

██ ███████

Withdrawal by patient

██ ███████

██ ███████

Lost to follow-up

██ ███████

██ ███████

Due to COVID-19 pandemic

██ ███████

██ ███████

Screen failure

██ ███████

██ ███████

Other

██ ███████

██ ███████

Patients who started maintenance phase, n (%)

██ ███████

██ ███████

Patients who received durvalumab or its placebo in maintenance phase

██ ███████

██ ███████

Patients who discontinued durvalumab or its placebo in maintenance phase

██ ███████

██ ███████

Patients who did not start the maintenance phase but started durvalumab or its placebo at the maintenance dosed

██ ███████

██ ███████

FAS, Ne

49

46

SAS, Ne

███

███

dMMR = mismatch repair deficient; FAS = full analysis set; NR = not reported; OS = overall survival; SAS = safety analysis set; SOC = standard of care.

aAny of the following treatments: durvalumab or its placebo, olaparib or its placebo, carboplatin or substitute, or paclitaxel or substitute. The submission did not specify substitutes.

bPercentages were calculated from the number of patients who received the treatment.

cRepresents patients’ disposition status at time of discontinuation from study. Some patients subsequently had vital status information collected from publicly available resources (when it was possible to do so under applicable local laws) for the purpose of the OS analysis, as detailed in the DUO-E protocol.67

dComprises the patients who continued treatment with durvalumab or its placebo after the end of chemotherapy treatment; however, because they did not initiate treatment with olaparib or its placebo, they were not included in the maintenance phase.

eAll randomized patients who received any amount of study treatment (durvalumab or its placebo or olaparib or its placebo).

Source: Details included in the table are from the sponsor’s summary of clinical evidence.22

Baseline Characteristics

The baseline characteristics of the dMMR population outlined in Table 15 are limited to those that are most relevant to this review or that were felt to affect the outcomes or interpretation of the study results. The demographic characteristics were broadly balanced between study arms; the mean age of patients was roughly ██ years and approximately half of the patients in each study arm were older than 65 years. The study arms were approximately evenly split between patients with newly diagnosed versus recurrent cancer (████% in the SOC arm and ████% in the SOC plus durvalumab arm had a recurrence of earlier cancer). There were no details of additional molecular classifications within the dMMR subgroup (e.g., p53 mutations).

The majority of patients had metastatic disease (████% in the SOC arm, ████% in the SOC plus durvalumab arm) and the majority of tumours were endometroid (83.7% in the SOC arm and 71.7% in the SOC plus durvalumab arm). Patients with recurrent disease in the SOC plus durvalumab arm had a numerically longer mean time since initial diagnosis (█████ weeks; SD = ██████) relative to the SOC arm (█████ weeks; SD = ██████). There was a numeric difference in the proportion of patients who had locally advanced disease between study arms (███% in the SOC arm, ████% in the SOC plus durvalumab arm). There were also notable differences in the proportion of patients with a history of debulking surgery (████% in the SOC arm, ████% in the SOC plus durvalumab arm), the proportion of patients with a grade G2 tumour (████% in the SOC arm, ████% in the SOC plus durvalumab arm), and in the proportion of patients with an ECOG status of 0 (59.2% in the SOC arm, 50.0% in the SOC plus durvalumab arm) or 1 (40.8% in the SOC arm, 50.0% in the SOC plus durvalumab arm).

The baseline characteristics of the ITT population can be found in Appendix 1.

Table 15: Summary of Baseline Characteristics From the DUO-E Study — dMMR Subgroup

Characteristic

Patients with dMMR endometrial cancer

SOC

(N = 49)

SOC + durvalumab

(N = 46)

Demographic characteristics

Age (years), mean (SD)

████ █████

████ ███████

Age group (years), n (%)

   < 65

25 (51.0)

25 (54.3)

   ≥ 65

24 (49.0)

21 (45.7)

Race, n (%)

   White

30 (61.2)

29 (63.0)

   Asian

15 (30.6)

14 (30.4)

   Black or African American

2 (4.1)

0

   Other

██ ███████

██ ███████

   American Indian or Alaska Native [wording from original source]

██ ███████

██ ███████

   Native Hawaiian or Other Pacific Islander

██ ███████

██ ███████

   Not reported

██ ███████

██ ███████

Medical characteristics

Time since initial diagnosis (weeks), mean (SD)

   Patients with newly diagnosed cancer

██ ███████

██ ███████

   Patients with recurrent cancer

██ ███████

██ ███████

Time from recent progression to randomization (weeks), mean (SD)a

██ ███████

██ ███████

ECOG performance status, n (%)

   0: Normal activity

29 (59.2)

23 (50.0)

   1: Restricted activity

20 (40.8)

23 (50.0)

   2: In bed ≤ 50% of the time

██

██

Histology type, n (%)b

   Endometroid

41 (83.7)

33 (71.7)

   Serous

2 (4.1)

2 (4.3)

   Carcinosarcoma

██ ███████

██ ███████

   Mixed, epithelial

██ ███████

██ ███████

   Other

██ ███████

██ ███████

   Clear cell

██ ███████

██ ███████

   Undifferentiated

██ ███████

██ ███████

   Mucinous

██ ███████

██ ███████

Tumour gradeb

   G1: Well differentiated

██ ███████

██ ███████

   G2: Moderately differentiated

██ ███████

██ ███████

   G3: Poorly differentiated

██ ███████

██ ███████

   GX: Unassessable

██ ███████

██ ███████

   Missing

██ ███████

██ ███████

FIGO stageb

   IA

██ ███████

██ ███████

   IB

██ ███████

██ ███████

   II

██ ███████

██ ███████

   IIIA

██ ███████

██ ███████

   IIIB

██ ███████

██ ███████

   IIIC

██ ███████

██ ███████

   IIIC1

██ ███████

██ ███████

   IIIC2

██ ███████

██ ███████

   IVA

██ ███████

██ ███████

   IVB

██ ███████

██ ███████

   Missing

██ ███████

██ ███████

Recurrence of earlier cancerc

   Yes

██ ███████

██ ███████

   No

██ ███████

██ ███████

Baseline overall disease classification

   Metastaticd

██ ███████

██ ███████

   Locally advancede

██ ███████

██ ███████

   Missing

██ ███████

██ ███████

MMR statusc

   Proficient

██ ███████

██ ███████

   Deficient

██ ███████

██ ███████

   Unknown

██ ███████

██ ███████

Debulking surgery history

   Yes

██ ███████

██ ███████

   No

██ ███████

██ ███████

   Unknown

██ ███████

██ ███████

Prior chemotherapy

   Yes

██ ███████

██ ███████

   No

██ ███████

██ ███████

dMMR = mismatch repair deficient; ECOG = Eastern Cooperative Oncology Group; FFPE = formalin-fixed paraffin-embedded; FIGO = International Federation of Gynecology and Obstetrics; G = grade; IVRS = interactive voice response system; MMR = mismatch repair; pMMR = mismatch repair proficient; SD = standard deviation; SOC = standard of care (carboplatin + paclitaxel); vs. = versus.

aPatients with recurrent disease only.

bPathology-related disease characteristics were collected at the time of primary diagnosis of disease under investigation.

cMMR status (proficient vs. deficient) was per central laboratory result using the FDA-cleared Class II Ventana MMR immunohistochemistry panel (based on evaluation of tumour cells from an FFPE tumour tissue sample) and disease status (recurrent vs. newly diagnosed) was as collected on the electronic case report form. Note: 2 patients with “unknown” MMR status (per central laboratory) were randomized as having dMMR cancer per the IVRS based on local testing. Two additional patients were mis-stratified in the IVRS: 1 patient with dMMR cancer (per central laboratory) was randomized in the IVRS as having pMMR, and 1 patient with pMMR cancer (per central laboratory) was randomized in the IVRS as having dMMR.

dAny metastatic site of disease.

ePatient had only locally advanced sites of disease.

Source: Details included in the table are from the sponsor’s summary of clinical evidence.22

Exposure to Study Treatments

The exposure to study treatments for the study arms and subgroups relevant to the reimbursement request are presented in Table 16. Of note, patients in the SOC plus durvalumab arm had a numerically longer actual exposure to treatment in the study (mean = █████ weeks; SD = █████) relative to the SOC arm (mean = █████ weeks; SD = █████). A total of ██ patients in the SOC arm and ██ patients in the SOC plus durvalumab arm received maintenance therapy. The majority of infusions in both treatment arms were reported as taking place in the maintenance phase. In the SOC arm, the mean number of infusions was █████ infusions (SD = ████; range, ██ ██) in the overall study and ████ infusions (SD = ████; range, to ██) in the maintenance phase. In the SOC plus durvalumab arm, the mean number of infusions was █████ infusions (SD = ████; range, to ██) in the overall study and █████ infusions (SD = ████; range, to ██) in the maintenance phase.

Table 16: Summary of Patient Exposure From the DUO-E Study — dMMR Subgroup

Exposure

Overall

Maintenance

SOC (N = 46)

SOC + durvalumab

(N = 44)

SOC

(N = 25)

SOC + durvalumab

(N = 33)

Number of infusions

   Mean (SD)

██ ████

██ ███████

██ █

██ ███████

   Median (range)

██ ████

██ ███████

██ █

██ ███████

Number of infusions, n (%)

██ ████

██ ███████

██ █

██ ███████

   0

██ ████

██ ███████

██ █

██ ███████

   1 to 3

██ ████

██ ███████

██ █

██ ███████

   4 to 6

██ ████

██ ███████

██ █

██ ███████

   7 to 10

██ ████

██ ███████

██ █

██ ███████

   11 to 15

██ ████

██ ███████

██ █

██ ███████

   16 to 20

██ ████

██ ███████

██ █

██ ███████

   More than 20

██ ████

██ ███████

██ █

██ ███████

Intended exposure (weeks), mean (SD)a

██ ████

██ ███████

██ █

██ ███████

Actual exposure (weeks), mean (SD)b

██ ████

██ ███████

██ █

██ ███████

dMMR = mismatch repair deficient; SD = standard deviation; SOC = standard of care (carboplatin + paclitaxel).

aIntended exposure (weeks) = ([earliest of: last dose date when dose was > 0 mg plus C days, date of death, or date of data cut-off] minus [the first dose date plus 1 day]) divided by 7, where C is equal to the scheduled number of days between doses minus 1. Note: C = 20 if the last dose date falls in the chemotherapy phase; C = 27 if the last dose date falls in the maintenance phase.

bActual exposure (weeks) = intended exposure minus total duration of dose delays in days. Total duration of dose delays in days = (date of the dose minus date of the previous dose minus D days) divided by 7. Note: D = 21 if it happens during the chemotherapy phase; D = 28 if it happens during the maintenance phase.

Source: Details included in the table are from the sponsor’s summary of clinical evidence22 and additional information provided by the sponsor.68

Results on the proportion of patients receiving the prespecified rescue medications were not available. Results for the most common permitted concomitant medications and the number of patients reporting the use of prohibited medications for the ITT population are presented in Appendix 1; concomitant medications specific to the dMMR subgroup were not provided in the submission.

For patients who discontinued the study drug, details on the therapy they received after discontinuation is presented in Table 17. Of note, patients who discontinued the study drug received immunotherapy, chemotherapy, hormonal therapy, or targeted therapy.

Table 17: Postdiscontinuation Disease-Related Anticancer Therapy — dMMR Subgroup

Variable

Patients, n (%)

SOC

N = 49

SOC + durvalumab

N = 46

Immunotherapy

██ █

██ █

   BgB-A445 monoclonal antibody

██ █

██ █

   Dostarlimab

██ █

██ █

   Investigational antineoplastic drugs

██ █

██ █

   Pembrolizumab

██ █

██ █

Hormonal therapy

██ █

██ █

   Letrozole

██ █

██ █

   Megestrol

██ █

██ █

   Megestrol acetate

██ █

██ █

   Tamoxifen

██ █

██ █

Cytotoxic chemotherapy

██ █

██ █

   Carboplatin

██ █

██ █

   Cisplatin

██ █

██ █

   Doxorubicin

██ █

██ █

   Doxorubicin hydrochloride

██ █

██ █

   Gemcitabine

██ █

██ █

   Liposomal doxorubicin hydrochloride

██ █

██ █

   Nedaplatin

██ █

██ █

   Paclitaxel

██ █

██ █

   Topotecan

██ █

██ █

Targeted therapy

██ █

██ █

   Capivasertib

██ █

██ █

   Cediranib

██ █

██ █

   Everolimus

██ █

██ █

   Lenvatinib

██ █

██ █

   Lenvatinib mesilate

██ █

██ █

   Olaparib

██ █

██ █

Radiotherapy

██ █

██ █

Missing

██ █

██ █

dMMR = mismatch repair deficient; SOC = standard of care (carboplatin + paclitaxel).

Source: Details included in the table are from additional information provided by the sponsor.23

Efficacy

Survival Outcomes

Detailed results of the survival analysis to date (final analysis for PFS, IA for OS) at the data cut-off (April 12, 2023) are presented in Table 18.

Progression-Free Survival

In the dMMR subgroup, there were a total of 25 PFS-related events (51.0%; N = 49 patients) in the SOC arm and 15 events (32.6%; N = 46 patients) in the SOC plus durvalumab arm. There were ██████ censored deaths in the SOC arm and ██████ in the SOC plus durvalumab arm. The median PFS in the SOC arm was 7.0 months (95% CI, 6.7 to 14.8), while the median PFS was not calculable in the SOC plus durvalumab arm (HR, 0.42; 95% CI, 0.22 to 0.80 in favour of durvalumab). The risk difference between study arms for the proportion of patients whose cancer had not progressed was ████% (95% CI, ████ ██ ████) at 6 months; ████% (95% CI, ████ █████) at 12 months; and ████% (95% CI, █████ ██ ████) at 18 months.

Overall Survival

In the dMMR subgroup, there were a total of ██ ███████ deaths in the SOC arm and ███████ deaths in the SOC plus durvalumab arm. The median OS in the SOC arm was ████ months (95% CI, ███ ██████████), while the median OS was ███ ██████████ in the SOC plus durvalumab arm (HR, ████; 95% CI, ████ ██ ████, in favour of durvalumab). The risk difference between study arms for the proportion of patients who were alive was ████% (95% CI, █████ ██ █████) at 6 months; ████% (95% CI, ████ ██ ████) at 12 months; and ████% (95% CI, ████ ██ █████) at 18 months.

Objective Response Rate

In the dMMR subgroup, a total of ██ ███████ patients had a response out of ██ patients with measurable disease at baseline in the SOC arm, and ██ ███████ patients had a response out of ██ patients with measurable disease at baseline in the SOC plus durvalumab arm. The OR for response was ████ ████ ███ ████ ██ ████ in favour of durvalumab.

Duration of Response

In the dMMR subgroup in the SOC arm, ███████ patients out of the ██ patients who experienced a response subsequently died or experienced disease progression. The median DOR (measured from the onset of response) was ████ months. Out of the ██ patients in the SOC plus durvalumab arm who experienced a response, ████████ patients subsequently died or experienced disease progression; the median DOR was not calculable. The difference between study arms for the proportion of patients who continued to experience a response was █████ (95% CI, █████ ██ █████) at 6 months, █████ (95% CI, █████ ██ █████) at 12 months, and █████ (95% CI, ████% to ████%) at 18 months.

Time to Treatment Discontinuation or Death

In the dMMR subgroup, 37 patients (75.5%) in the SOC arm and 22 patients (47.8%) in the SOC plus durvalumab arm had an event of treatment discontinuation or death (HR = 0.47; 95% CI, 0.27 to 0.79 in favour of durvalumab).

Table 18: Summary of Survival Analysis Results From the DUO-E Study — dMMR Subgroup

Variable

Patients with dMMR cancer

SOC

N = 49

SOC + durvalumab

N = 46

PFS: Primary outcomea

Total events, n (%)

25 (51.0)

15 (32.6)

Censored patients, n (%)

████ █████

████ █████

Progression-free at time of analysis

████ █████

████ █████

Censored death

████ █████

████ █████

Withdrawn consent

████ █████

████ █████

No postbaseline evaluable tumour assessment

████ █████

████ █████

Censored RECIST progression

████ █████

████ █████

Lost to follow-up

████ █████

████ █████

Duration of follow-up in censored patients (months), median (range)

████ █████

████ █████

PFS (months), median (95% CI)

7.0 (6.7 to 14.8)

NR (NR to NR)

HR (95% CI) vs. SOCb

0.42 (0.22 to 0.80)

P value

NR

Proportion (95% CI) of patients with progression-free disease

At 6 months

73.1 (56.6 to 84.2)

90.6 (76.9 to 96.4)

  Survival difference (95% CI) vs. SOC

████ █████ █████

At 12 months

43.3 (27.3 to 58.3)

67.9 (51.1 to 80.0)

  Survival difference (95% CI) vs. SOC

████ █████ █████

At 18 months

31.7 (16.7 to 47.9)

67.9 (51.1 to 80.0)

    Survival difference (95% CI) vs. SOC

████ ██████ █████

OS: Secondary outcomea

Deaths, n (%)

████ █████

████ █████

Censored patients, n (%)

████ █████

████ █████

Still in survival follow-up

████ █████

████ █████

Terminated before deathc

████ █████

████ █████

Withdrawn consent

████ █████

████ █████

Lost to follow-up

████ █████

████ █████

Duration of follow-up in censored patients (months), median (range)

████ █████

████ █████

OS (months), median (95% CI)

████ █████

████ █████

HR (95% CI) vs. SOCb

████ █████

P value

████ █████

Proportion (95% CI) of patients who were alive

At 6 months

████ █████

████ █████

  Survival difference (95% CI) vs. SOC

████ █████

At 12 months

████ █████

████ █████

  Survival difference (95% CI) vs. SOC

████ █████

At 18 months

████ █████

████ █████

  Survival difference (95% CI) vs. SOC

████ █████

ORR: secondary outcome

Number of patients with response out of the number of patients with measurable disease at baseline, n/N (%)

████ █████

████ █████

OR (95% CI) vs. SOC

████ █████

CR (%)

████ █████

████ █████

PR (%)

████ █████

████ █████

DOR

Number of responders who died or whose cancer subsequently progressed out of the number of patients who experienced a response, n/N (%)

████ █████

████ █████

DOR from onset of response (months), mediand

████ █████

████ █████

Proportion of patients continuing to experience a response (%)

6 months

████ █████

████ █████

Difference in DOR (%) vs. SOC

████ █████

12 months

████ █████

████ █████

Difference in DOR (%) vs. SOC

████ █████

18 months

████ █████

████ █████

Difference in DOR (%) vs. SOC

████ █████

TDT

Total events, n (%)

████ █████

████ █████

Treatment discontinuation

████ █████

████ █████

Death

████ █████

████ █████

Censored patients, n (%)e

████ █████

████ █████

Median TDT (95% CI), (months)

████ █████

████ █████

HR (95% CI) vs. SOCb

████ █████

P value

████ █████

Event-free rate (95% CI)

At 6 months

████ █████

████ █████

Difference in event vs. SOC, % (95% CI)

████ █████

At 12 months

████ █████

████ █████

Difference in event vs. SOC, % (95% CI)

████ █████

At 18 months

████ █████

████ █████

Difference in event vs. SOC, % (95% CI)

████ █████

CI = confidence interval; CR = complete response; dMMR = mismatch repair deficient; DOR = duration of response; HR = hazard ratio; ITT = intention to treat; NR = not reported; OR = odds ratio; ORR = objective response rate; OS = overall survival; PFS = progression-free survival; PR = partial response; RECIST = Response Evaluation Criteria in Solid Tumours; SOC = standard of care (carboplatin + paclitaxel); TDT = time to study treatment discontinuation or death; vs. = versus.

aA multiple-testing procedure was applied to the analysis of PFS and OS for the ITT population; however, this procedure was not applied to the analysis of the data from the dMMR subgroup.

bThe HR and CI were estimated from an unstratified Cox proportional hazards model. An HR of less than 1 favoured the treatment arm of interest over the reference arm.

cIncludes patients with unknown survival status and patients who were lost to follow-up.

dCalculated as the time from the first confirmed CR or PR until either the date of progression or the date of censoring for PFS.

eAny patient not known to have died and not known to have discontinued all investigational treatments was censored at the last recorded date on which the patient was known to be alive.

Source: Details included in the table are from the sponsor’s summary of clinical evidence and additional information provided by the sponsor.23

HRQoL Outcomes

Details of the HRQoL results are presented in Table 19.

EORTC QLQ-C30 Global Health Score

In the dMMR subgroup, the mean baseline score was █████ points (SD = █████) in the SOC arm and █████ points (SD = █████) in the SOC plus durvalumab arm. At week 18 (corresponding to the sixth cycle of the chemotherapy phase), the mean change in score from baseline was ██████ points (SD = █████) in the SOC arm (N = ██) and █████ points (SD = █████) in the SOC plus durvalumab arm (N = ██). The absolute mean difference between study arms was █████ points (95% CI, ██████ to ████). At week 42 (corresponding to the sixth month of the maintenance phase), the mean change in scores from baseline was ██████ points (SD = █████) in the SOC arm (N = ██) and ████ points (SD = █████) in the SOC plus durvalumab arm (N = ██). The absolute mean difference between study arms was █████ points (95% CI, ████ to █████).

EORTC QLQ-EN24 Pain in Back and Pelvis Score

In the dMMR subgroup, the mean baseline score was █████ points (SD = █████) in the SOC arm and █████ points (SD = █████) in the SOC plus durvalumab arm. At week 18, the mean change in score from baseline was ████ points (SD = █████) in the SOC arm (N = ██), and ████ points (SD = █████) in the SOC plus durvalumab arm (N = ██). The absolute mean difference between study arms was ████ points (95% CI, █████ to █████). At week 42, the mean change in scores from baseline was █████ points (SD = █████) in the SOC arm (N = ██), and ████ points (SD = █████) in the SOC plus durvalumab arm (N = ██). The absolute mean difference between study arms was ████ points (95% CI, █████ to █████).

EORTC QLQ-EN24 Urological Symptoms Score

In the dMMR subgroup, the mean baseline score was █████ points (SD = █████) in the SOC arm and █████ points (SD = █████) in the SOC plus durvalumab arm. At week 18, the mean change in score from baseline was ████ points (SD = █████) in the SOC arm (N = ██) and −████ points (SD = █████) in the SOC plus durvalumab arm (N = ██). The absolute mean difference between study arms was ████ points (95% CI, █████ to █████). At week 42, the mean change in scores from baseline was ████ points (SD = █████) in the SOC arm (N = ██) and ████ points (SD = █████) in the SOC plus durvalumab arm (N = ██). The absolute mean difference between study arms was ████ points (95% CI, █████ to ████).

Table 19: Summary of HRQoL Results From the DUO-E Study — dMMR Subgroup

Variable

Patients with dMMR cancer

SOC

N = 49

SOC + durvalumab

N = 46

Change from baseline in EORTC QLQ-C30 global health status score

Number of patients contributing at baseline, n

█████ ███████

█████ ███████

Baseline score, mean (SD)

█████ ███████

█████ ███████

Number of patients contributing at week 18, na

█████ ███████

█████ ███████

Week 18 score, mean (SD)

█████ ███████

█████ ███████

Change from baseline at week 18, mean (95% CI)a

█████ ███████

█████ ███████

Absolute difference, mean (95% CI)

█████ ████████ █████

Number of patients contributing at week 42, nb

█████ ███████

█████ ███████

Week 42 score, mean (SD)

█████ ███████

█████ ███████

Change from baseline at week 42, mean (95% CI)b

██████ ██████

████ ███████

Absolute difference, mean (95% CI)

█████ ██████ ██████

Change from baseline in EORTC QLQ-EN24 pain in back and pelvis score

Number of patients contributing at baseline, n

█████ ███████

█████ ███████

Baseline score, mean (SD)

█████ ███████

█████ ███████

Number of patients contributing at week 18, na

█████ ███████

█████ ███████

Week 18 score, mean (SD)

█████ ███████

█████ ███████

Change from baseline at week 18, mean (95% CI)a

█████ ███████

█████ ███████

Absolute difference, mean (95% CI)

█████ ███████

Number of patients contributing at week 42, nb

█████ ███████

█████ ███████

Week 42 score, mean (SD)

█████ ███████

█████ ███████

Change from baseline at week 42, mean (95% CI)b

█████ ███████

█████ ███████

Absolute difference, mean (95% CI)

█████ ███████

Change from baseline in EORTC QLQ-EN24 urological symptoms score

Number of patients contributing at baseline, n

█████ ███████

█████ ███████

Baseline score, mean (SD)

█████ ███████

█████ ███████

Number of patients contributing at week 18, na

█████ ███████

█████ ███████

Week 18 score, mean (SD)

█████ ███████

█████ ███████

Change from baseline at week 18, mean (95% CI)a

█████ ███████

█████ ███████

Absolute difference, mean (95% CI)

█████ ███████

Number of patients contributing at week 42, nb

█████ ███████

█████ ███████

Week 42 score, mean (SD)

█████ ███████

█████ ███████

Change from baseline at week 42, mean (95% CI)b

█████ ███████

█████ ███████

Absolute difference, mean (95% CI)

█████ ███████

CI = confidence interval; dMMR = mismatch repair deficient; EORTC QLQ-C30 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30; EORTC QLQ-EN24 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire – Endometrial Cancer Module; HRQoL = health-related quality of life; SD = standard deviation; SOC = standard of care (carboplatin + paclitaxel or substitutes).

aCorresponds to cycle 6 of the chemotherapy phase.

bAfter the chemotherapy phase, the assessment of outcomes shifted from every 3 weeks to every 4 weeks; week 42 corresponds to the sixth month of the maintenance phase.

Sources: Details contained in the table are from the sponsor’s summary of clinical evidence22 and additional information provided by the sponsor.69

Harms

Results for harms from both the chemotherapy and maintenance phases (overall phase) and maintenance phase alone of the DUO-E trial, specifically in the dMMR subgroup, are summarized subsequently and in Table 20. Harms data for the entire ITT population of the DUO-E trial are presented in the Appendix.

Adverse Events

In the dMMR subgroup, all patients in each study arm experienced an AE during the DUO-E trial. A total of ████% of patients in the SOC arm and ████% of patients in the SOC plus durvalumab arm experienced an AE with a maximum grade of 3 or 4. The most common AEs were nausea (████% of patients in the SOC plus durvalumab arm, ████% of patients in the SOC arm), alopecia (████% in the SOC plus durvalumab arm, ████% in the SOC arm), arthralgia (████% in the SOC plus durvalumab arm, ████% in the SOC arm), and anemia (████% in the SOC plus durvalumab arm, ████% in the SOC arm).

There were differences between study arms in the proportion of patients with several AEs. Of note, a numerically higher proportion of patients in the SOC plus durvalumab arm reported nausea (████% versus ████% in the SOC arm), alopecia (████% versus ████% in the SOC arm), alopecia (████% versus ████% in the SOC arm), arthralgia (████% versus ████% in the SOC arm), hypomagnesemia (████% versus ████% in the SOC arm), cough (████% versus 15.2% in the SOC arm), peripheral neuropathy (████% versus ████% in the SOC arm), dyspnea (████% versus ███% in the SOC arm), and injury, poisoning or procedural complications (████% versus ████%). A numerically higher proportion of patients in the SOC arm reported anemia (████% versus ████% in the SOC plus durvalumab arm), fatigue (████% versus ████% in the SOC plus durvalumab arm), peripheral sensory neuropathy (████% versus ████% in the SOC plus durvalumab arm), decreased appetite (████% versus ████% in the SOC plus durvalumab arm), neutrophil count decreased (████% versus ████% in the SOC plus durvalumab arm), and neutropenia (████% versus ████% in the SOC plus durvalumab arm).

Serious Adverse Events

In the dMMR subgroup, a total of ████% of patients in the SOC arm and ████% in the SOC plus durvalumab arm experienced an SAE during the DUO-E trial. The most common SAEs were as follows: gastrointestinal disorders (████% in the SOC plus durvalumab arm consisting of ███████ reports of fecaloma, ███████ report each of abdominal hernia, colitis, intestinal obstruction and nausea, and ███% in the SOC arm consisting of ███████ report each of diarrhea, nausea, and vomiting), blood and lymphatic system disorders (████% in the SOC arm consisting of ███████ reports of anemia, ███████ reports of febrile neutropenia, and ███████ reports of neutropenia, and ███% in the SOC plus durvalumab arm consisting of 1 report of autoimmune hemolytic anemia), infections and infestations (███% in the SOC arm consisting of ███████ report each of COVID-19, neutropenic sepsis, urinary tract infection and urosepsis, and ███% in the SOC plus durvalumab arm consisting of ███████ report each of appendicitis, gastroenteritis, and sepsis), and renal and urinary disorders (███% in the SOC arm consisting of ███████ report each of acute kidney injury, renal failure, ureteric obstruction and urinary bladder hemorrhage, and ███████% in the SOC plus durvalumab arm).

Withdrawals Due to Adverse Events

In the dMMR subgroup. a total of ████% of patients experienced AEs leading to the withdrawal of durvalumab in the SOC plus durvalumab arm, and ████% reported this in the SOC arm. In the SOC plus durvalumab arm, the reasons for discontinuation were anemia, interstitial lung disease, maculopapular rash, symmetric drug-related intertriginous and flexural exanthema, fatigue, and procedural pain (each reported in ██ patient) In the SOC arm, the reasons for discontinuation of durvalumab placebo were anemia (2 patients), cerebrovascular accident, tinnitus, and asthenia (each reported in ██ patient). A total of ██% of patients in the SOC plus durvalumab arm and ██% of patients in the SOC arm experienced an AE leading to discontinuation of SOC.

Mortality

In the dMMR subgroup, a total of ██ patients (██%) died in the SOC arm and ███ patients (██%) died in the SOC plus durvalumab arm. The submission did not provide details on the specific causes of death in patients in the dMMR subgroup.

Notable Harms

Immune-mediated AEs (exact conditions not specified) and infusion reactions were identified by the clinical experts consulted for this review as AESIs. In the dMMR subgroup, ██% of patients experienced an immune-mediated AE in the SOC plus durvalumab arm and ██% experienced this in the SOC arm. A total of ███% of patients experienced infusion reactions in the SOC plus durvalumab arm versus ██% of patients in the SOC arm.

A total of ██% of patients in the SOC plus durvalumab arm and ███% of patients in the SOC arm experienced 1 of the AESIs that had been identified by the clinical experts for this review. The most common AEs in both arms were diarrhea (██% in the SOC plus durvalumab arm, ██% in the SOC arm) and rash (███% in the SOC plus durvalumab arm, ██% in the SOC arm). Hypothyroidism (██% of patients) was the next most common reason in the SOC plus durvalumab arm, and hyperthyroidism (██% of patients) the next most common reason in the SOC arm.

Table 20: Summary of Harms Results From the DUO-E Study — dMMR Subgroup

AEs

Overall

Maintenance phase only

SOC

N = 46

SOC + durvalumab

N = 44

SOC

N = 25

SOC + durvalumab

N = 33

AEs, n (%)

≥ 1 AE

██ ███

██ ███

██ ███

██ ███

≥ 1 grade 3 or 4 AE

██ ███

██ ███

██ ███

██ ███

Most common (≥ 20%) AEs, n (%)a

  Anemia

██ ███

██ ███

██ ███

██ ███

  Neutropenia

██ ███

██ ███

██ ███

██ ███

  Decreased appetite

██ ███

██ ███

██ ███

██ ███

  Hypomagnesemia

██ ███

██ ███

██ ███

██ ███

  Headache

██ ███

██ ███

██ ███

██ ███

  Neuropathy peripheral

██ ███

██ ███

██ ███

██ ███

  Peripheral sensory neuropathy

██ ███

██ ███

██ ███

██ ███

  Cough

██ ███

██ ███

██ ███

██ ███

  Dyspnea

██ ███

██ ███

██ ███

██ ███

  Diarrhea

██ ███

██ ███

██ ███

██ ███

  Nausea

██ ███

██ ███

██ ███

██ ███

  Vomiting

██ ███

██ ███

██ ███

██ ███

  Alopecia

██ ███

██ ███

██ ███

██ ███

  Rash

██ ███

██ ███

██ ███

██ ███

  Arthralgia

██ ███

██ ███

██ ███

██ ███

  Fatigue

██ ███

██ ███

██ ███

██ ███

  Pain in extremity

██ ███

██ ███

██ ███

██ ███

  Neutrophil count decreased

██ ███

██ ███

██ ███

██ ███

  Injury, poisoning, and procedural complications

██ ███

██ ███

██ ███

██ ███

SAEs, n (%)

Patients with any SAE, n (%)

██ ███

██ ███

██ ███

██ ███

Most common (≥ 2 patients) SAEs

██ ███

██ ███

██ ███

██ ███

  Gastrointestinal disorders

██ ███

██ ███

██ ███

██ ███

    Fecaloma

██ ███

██ ███

██ ███

██ ███

  Infections and infestations

██ ███

██ ███

██ ███

██ ███

  Respiratory, thoracic, and mediastinal disorders

██ ███

██ ███

██ ███

██ ███

  Skin and subcutaneous tissue disorders

██ ███

██ ███

██ ███

██ ███

  General disorders and administration site conditions

██ ███

██ ███

██ ███

██ ███

  Injury, poisoning, procedural complications

██ ███

██ ███

██ ███

██ ███

  Nervous system disorders

██ ███

██ ███

██ ███

██ ███

  Blood and lymphatic system disorders

██ ███

██ ███

██ ███

██ ███

    Anemia

██ ███

██ ███

██ ███

██ ███

    Febrile neutropenia

██ ███

██ ███

██ ███

██ ███

    Neutropenia

██ ███

██ ███

██ ███

██ ███

  Renal and urinary disorders

██ ███

██ ███

██ ███

██ ███

  Metabolism and nutrition disorders

██ ███

██ ███

██ ███

██ ███

    Hypokalemia

██ ███

██ ███

██ ███

██ ███

    Hyponatremia

██ ███

██ ███

██ ███

██ ███

Patients who stopped treatment due to AEs, n (%)

Any AE leading to discontinuation of any study treatment

██ ███

██ ███

██ ███

██ ███

AE leading to discontinuation of durvalumab or its placebo

██ ███

██ ███

██ ███

██ ███

  Anemia

██ ███

██ ███

██ ███

██ ███

  Cerebrovascular accident

██ ███

██ ███

██ ███

██ ███

  Tinnitus

██ ███

██ ███

██ ███

██ ███

  Interstitial lung disease

██ ███

██ ███

██ ███

██ ███

  Rash maculopapular

██ ███

██ ███

██ ███

██ ███

  Symmetric drug-related intertriginous and flexural exanthema

██ ███

██ ███

██ ███

██ ███

  Asthenia

██ ███

██ ███

██ ███

██ ███

  Fatigue

██ ███

██ ███

██ ███

██ ███

  Procedural pain

██ ███

██ ███

██ ███

██ ███

Any AE leading to discontinuation of SOC

██ ███

██ ███

██ ███

██ ███

  Anemia

██ ███

██ ███

██ ███

██ ███

  Neutropenia

██ ███

██ ███

██ ███

██ ███

  Neuropathy periphera

██ ███

██ ███

██ ███

██ ███

  Neurotoxicity

██ ███

██ ███

██ ███

██ ███

  Peripheral sensory neuropathy

██ ███

██ ███

██ ███

██ ███

    Tinnitus

██ ███

██ ███

██ ███

██ ███

    Alopecia

██ ███

██ ███

██ ███

██ ███

    Asthenia

██ ███

██ ███

██ ███

██ ███

    Fatigue

██ ███

██ ███

██ ███

██ ███

    ECOG Performance Status decreased

██ ███

██ ███

██ ███

██ ███

    Platelet count decreased

██ ███

██ ███

██ ███

██ ███

    Procedural pain

██ ███

██ ███

██ ███

██ ███

Deaths, n (%)

Patients who died

██ ███

██ ███

██ ███

██ ███

AEs of special interest, n (%)

Any durvalumab-related AE of special interest

██ ███

██ ███

██ ███

██ ███

  Diarrhea

██ ███

██ ███

██ ███

██ ███

  Rash

██ ███

██ ███

██ ███

██ ███

  Hypothyroidism

██ ███

██ ███

██ ███

██ ███

  Eczema

██ ███

██ ███

██ ███

██ ███

  Hyperthyroidism

██ ███

██ ███

██ ███

██ ███

  Pneumonitis

██ ███

██ ███

██ ███

██ ███

  Rash, maculopapular

██ ███

██ ███

██ ███

██ ███

  Autoimmune hemolytic anemia

██ ███

██ ███

██ ███

██ ███

  Colitis

██ ███

██ ███

██ ███

██ ███

  Dermatitis

██ ███

██ ███

██ ███

██ ███

  Immune-mediated thyroiditis

██ ███

██ ███

██ ███

██ ███

  Infusion-related reaction

██ ███

██ ███

██ ███

██ ███

  Interstitial lung disease

██ ███

██ ███

██ ███

██ ███

  Myositis

██ ███

██ ███

██ ███

██ ███

  Rash, erythematous

██ ███

██ ███

██ ███

██ ███

  Rash, popular

██ ███

██ ███

██ ███

██ ███

  Rash, pustular

██ ███

██ ███

██ ███

██ ███

  Thyroiditis

██ ███

██ ███

██ ███

██ ███

  Urticaria

██ ███

██ ███

██ ███

██ ███

  Psoriasis

██ ███

██ ███

██ ███

██ ███

  Rash, macular

██ ███

██ ███

██ ███

██ ███

  Drug hypersensitivity

██ ███

██ ███

██ ███

██ ███

Immune-mediated AEs

██ ███

██ ███

██ ███

██ ███

Infusion reactions

██ ███

██ ███

██ ███

██ ███

AE = adverse event; dMMR = mismatch repair deficient; ECOG = Eastern Cooperative Oncology Group; NR = not reported; SAE = serious adverse event; SOC = standard of care.

aPatients with multiple AEs in the same category were counted only once for that preferred term. Patients with AEs in more than 1 category were counted once in each of these categories.

bPatients with multiple AEs leading to discontinuation of any study treatment or SOC were counted once for each system organ class.

cDeath not due to disease progression.

Sources: Details included in the table are from the sponsor’s summary of clinical evidence22 and additional information provided by the sponsor.23

Critical Appraisal

Internal Validity

The DUO-E trial is an ongoing phase III trial assessing the efficacy and safety of durvalumab plus SOC compared with SOC alone in the treatment of primary advanced or recurrent endometrial cancer. Included in the submission was an IA containing results up to the data cut-off on April 13, 2023. The randomization, allocation concealment, and laboratory assessments were at low risk of bias because randomization was stratified and conducted centrally using an IVRS or interactive web response system, and placebo descriptions were provided. Likewise, the outcome ascertainment methods were at low risk of bias because the time-to-event outcomes were assessed by investigator; although BICR results were not available for the subgroups to compare, the impact is likely minimal. Blinding was likewise continued for the duration of the study; therefore, the impact on subjective outcomes (i.e., the HRQoL measures) was likely minimal. However, there were numerically higher numbers of patients in the SOC arm who discontinued treatment relative to the SOC plus durvalumab arm, which suggests the possibility that patients may have become unblinded to their treatment arm and discontinued treatment more readily than those in the SOC plus durvalumab arm. As part of the study design, patients with no evidence of progressive disease during the 6-cycle chemotherapy phase were eligible to proceed to the maintenance phase. Results separating the efficacy outcomes in the chemotherapy and maintenance phases were not provided; thus, the impact of the chemotherapy phase versus the maintenance phase individually on response to treatment remains unknown.

There are several limitations to note regarding the study design and the statistical model. First, the design of the DUO-E study comprised 3 study arms that contained patients with either dMMR and pMMR endometrial cancer. However, given the Health Canada indication and reimbursement request, the focus of this review is based on a subgroup of patients with dMMR endometrial cancer. Therefore, all results focusing on the dMMR subgroup can only be considered exploratory and supportive of the overall effect of durvalumab. Furthermore, the subgroup was not controlled for multiple comparisons and there is an increased risk of type I error, which is particularly important, given that the sample sizes in each study arm were small. Second, the study protocol was amended numerous times after patient enrolment started and, although the level of potential impact of these protocol changes was considered low based on the feedback from the clinical experts, the potential for bias due to these changes is unknown.

Results from the DUO-E trial were from an IA, and the P value cut-off for the IA of the subgroups themselves is not known; this carries an increased risk of overestimating the true effect. While the primary end point was reached for the ITT population, the median PFS and OS were not estimable for the dMMR subgroup in the respective analyses. In the ITT population, this analysis was based on an information fraction of 61.0% while, in the dMMR subgroup, only ████% of PFS events had occurred, suggesting the data were immature, particularly for OS. Lastly, the analysis for PFS, OS, and TDT in the subgroup was undertaken using an unstratified Cox proportional hazards model; an unstratified logistic regression model was used for ORR. While randomization was stratified on MMR status, disease status, and region, which are known effect modifiers described in the submission, these were not accounted for in the time-to-event analysis and might have impacted PFS, OS, ORR, and TDT outcome estimates. As such, there is increased uncertainty in the PFS and OS results, and it is therefore unclear how confidently the long-term results associated with durvalumab can be predicted.

There are additional limitations specific to the HRQoL measures reported in the DUO-E study. HRQoL end points were secondary in the DUO-E trial and the results were not adjusted for multiplicity; thus, there is an increased risk of type I error. In addition, the baseline estimates and the estimates at weeks 18 and 42 have a substantial amount of missing data (N = ██ patients in the SOC arm and ██ patients in the SOC plus durvalumab arm contributed data at 18 weeks; ██ patients in the SOC arm and ██ patients in the SOC plus durvalumab arm contributed data at 42 weeks). The end points were analyzed using a mixed model for repeated measures, which assumes that the missing data are missing at random; however, given the nature of the disease and design of the trial, the missing patient data are likely missing due to reasons related to the interventions; therefore, the missing-at-random assumption is not appropriate. The nature of the disease also means that, because patients are censored at disease progression or death, among other reasons, it is likely that these patients are systematically different from the patients included in the analysis; thus, there is also a likelihood of bias in the results. Furthermore, missing answers in the surveys were ignored and this imparts an additional risk of bias because the completeness of the survey responses was not reported. Lastly, there were no validation studies or MIDs identified specific to endometrial cancer; therefore, a direct assessment of the clinical meaningfulness of the HRQoL results was not possible.

External Validity

Per the clinical experts, the inclusion and exclusion criteria were broadly representative of patients who would be candidates for durvalumab. However, the results of patient screening were not available for the dMMR subgroup; therefore, the reasons for study failure and the distribution of screening failures between study arms is not known, so it is unclear whether there are systematic differences between the patients who passed screening and those who did not. Similarly, the exact causes of death in participants who died during the study were not reported, and it is therefore not known whether there are systematic differences between the patients who died and those who did not.

The clinical experts noted that, for the dMMR subgroup, the numeric differences in baseline patient characteristics that occurred would not be of great clinical importance, apart from the fact that the definition of “locally advanced disease” versus “metastatic disease” was not provided in the submission, and further noted that classifications within these disease categories may vary between clinicians. They also noted that patients with an ECOG status greater than 1 were not included in the trial; however, these patients would likely be considered for treatment with durvalumab in clinical practice. Apart from this, the study did not assess whether other molecular subtypes (e.g., POLE mutated, HER expression, p53 mutated) would have an impact on the results observed. The clinical experts noted that additional molecular classifications are usually undertaken in clinical practice and that a proportion of patients with dMMR cancer do not experience a response to current ICI therapy, the reason for which is not always clear. Therefore, it is possible the same nonresponder population may also exist for patients treated with durvalumab.

GRADE Summary of Findings and Certainty of the Evidence

Methods for Assessing the Certainty of the Evidence

For the pivotal studies and RCTs identified in the sponsor’s systematic review, GRADE was used to assess the certainty of the evidence for outcomes considered most relevant to inform expert committee deliberations, and a final certainty rating was determined as outlined by the GRADE Working Group:20,21

Following the GRADE approach, evidence from RCTs started as high-certainty evidence and could be rated down for concerns related to study limitations (which refer to internal validity or risk of bias), inconsistency across studies, indirectness, imprecision of effects, and publication bias.

When possible, certainty was rated in the context of the presence of an important (nontrivial) treatment effect; if this was not possible, certainty was rated in the context of the presence of any treatment effect (i.e., the clinical importance is unclear). In all cases, the target of the certainty-of-evidence assessment was based on the point estimate and where it was located relative to the threshold for a clinically important effect (when a threshold was available) or to the null. For the PFS and OS outcomes, the target of the assessment was the presence or absence of an important effect based on thresholds provided by the clinical experts. For the HRQoL outcomes, the target of the assessment was the presence or absence of any effect based on a null threshold.

Results of GRADE Assessments

Table 2 presents the GRADE summary of findings for durvalumab plus carboplatin and paclitaxel followed by durvalumab maintenance therapy versus carboplatin and paclitaxel alone in patients with recurrent endometrial cancer that is dMMR.

Long-Term Extension Studies

The submission did not contain any long-term extension studies.

Indirect Evidence

Contents within this section have been informed by materials submitted by the sponsor. The following was summarized and validated by the review team.

Objectives for the Summary of Indirect Evidence

The DUO-E trial included SOC chemotherapy (carboplatin and paclitaxel) but did not include a comparison with dostarlimab, a relevant first-line comparator for patients with dMMR endometrial cancer, and information from indirect comparisons were included in the pharmacoeconomic model. Therefore, a review of the indirect evidence was undertaken.

Description of Indirect Comparisons

The body of indirect evidence consisted of 2 sponsor-submitted MAICs. Details of the study selection criteria and methods are presented in Table 21.

Indirect Treatment Comparison Design

Objectives

The objective of the MAIC was to assess the comparative efficacy and safety of durvalumab plus chemotherapy followed by maintenance durvalumab monotherapy, relative to dostarlimab plus chemotherapy, followed by maintenance dostarlimab in patients with dMMR and/or MSI-H advanced endometrial cancer.

Table 21: Study Selection Criteria and Methods for the SLR Informing the MAIC

Characteristics

MAIC

Population

  • Adult patients (aged ≥ 18 years) with a histologically confirmed diagnosis of epithelial endometrial carcinoma (newly diagnosed stage III or IV disease or recurrent disease) with any histologic subtypes (i.e., including carcinosarcomas), except sarcomas

  • Patients treated in the first- or second-line setting who are either: naive to first-line systemic anticancer treatment or have undergone 1 prior chemotherapy regimen

Interventions and comparators

Systemic anticancer treatment from the following classes:

  • chemotherapy (e.g., platinum or taxane-based)

  • anti–PD-1 and –PD-L1 (e.g., pembrolizumab, dostarlimab, atezolizumab, avelumab, nivolumab, or durvalumab)

  • PARP inhibitors (e.g., niraparib, rucaparib, or olaparib)

  • protein kinase inhibitors (e.g., lenvatinib)

  • anti-HER2 (e.g., trastuzumab)

  • anti-VEGF (e.g., bevacizumab)

  • hormonal therapies (medroxyprogesterone, hydroxyprogesterone, tamoxifen, letrozole)

  • mTOR inhibitors (temsirolimus, vistusertib, everolimus)

  • selective inhibitor of nuclear export (e.g., selinexor).

Durvalumab 1,120 mg given in combination with platinum-based chemotherapy (carboplatin AUC 4 mg/mL/min to 5 mg/mL/min, paclitaxel 175 mg/m2), followed by maintenance durvalumab 1,120 mg monotherapy, referred to as “SOC plus durvalumab.”

Outcomes

Efficacy outcomes:

  • OS

  • PFS

  • PFS2

  • disease response, including objective response rate

  • duration of response

  • time to subsequent therapy.

Safety and tolerability outcomes:

  • adverse events (any grade or grade 3 and above)

  • time to treatment discontinuation

  • discontinuation or patient withdrawals due to adverse events

  • mortality.

HRQoL outcomes, from generic or disease-specific measures:

  • utility values (e.g., EQ-5D-5L, EQ-5D-3L, SF-6D)

  • HRQoL values (EORTC QLQ-C30, EORTC QLQ-EN24, SF-36, FACT-G, EQ-5D VAS).

The outcomes of interest specified in the submission for the ITC were PFS, OS, and safety. Results contained in the submission were for PFS and OS.

Study designs

  • RCTs of any design (open label, double or single blind, parallel, crossover)

  • Interventional, non-RCTs

  • Nonrandomized comparative studies

  • Single-arm trials

  • Other interventional, prospective studies

Publication characteristics

Published and unpublished

Exclusion criteria

Patient population:

  • children or adolescents (younger than 18 years)

  • patients without endometrial carcinoma

  • patients with sarcoma histology

  • patients with any other stage of endometrial cancer (stage I or II).

Intervention:

  • any other treatment class, such as surgery or radiotherapy.

Outcomes:

  • any other outcome

  • studies in which outcomes are not reported separately for the population of interest.

Study design:

  • Any other study design, such as:

    • observational studies (cross-sectional, retrospective, prospective cohort studies)

    • registry or database studies

    • case-control studies

    • secondary research articles (narrative reviews, editorials, commentaries).

Language:

  • articles without an abstract or full text in English.

Other:

  • animal and in vitro studies

  • conference abstracts published before 2021.

Databases searched

  • MEDLINE, including MEDLINE In-Process, MEDLINE Daily. and MEDLINE Epub Ahead of Print

  • Embase

  • The Cochrane Library, including:

    • Cochrane Database of Systematic Reviews

    • Cochrane Central Register of Controlled Trials (CENTRAL)

    • The University of York Centre for Reviews and Dissemination platform:

    • Database of Abstracts of Reviews of Effects.

Grey literature was also searched, including clinical trials registries and conference proceedings. The submission did not provide a list of specific registries and trial proceedings.

Selection process

Every title and abstract was reviewed against the eligibility criteria by 2 independent reviewers. When the applicability of the inclusion criteria was unclear, the article was included at this stage to ensure that all potentially relevant studies were captured. The independent reviewers then compared their results, and any disagreements were resolved by discussion until a consensus was reached. If necessary, a third independent reviewer made the final decision. Each full-text article was then reviewed against the eligibility criteria by 2 independent reviewers. If an article did not give enough information to confirm it met the inclusion criteria, the article was excluded at this stage, ensuring that only relevant articles were ultimately included in the systematic review. The independent reviewers compared their results, and any disagreements were resolved through discussion until a consensus was reached. If necessary, a third reviewer made the final decision.

Data extraction process

Data extraction was performed by a single individual for each included study. When the initial extraction was complete, a second individual independently verified the extracted information and checked that no relevant information had been missed. Any discrepancies or missing information identified by the second individual were discussed by both individuals until a consensus was reached on the information that should be presented in the extraction grid. When necessary, a third individual was enlisted to arbitrate the final decision.

For each included study, key information was extracted into a prespecified data extraction grid in Microsoft Excel. Extracted data were stratified in the grid by subgroups, when appropriate, including MMR status (dMMR and pMMR) and PD-L1 expression (positive and negative).

Quality assessment

The quality of all included RCTs was assessed using the quality assessment tool developed by the University of York Centre for Reviews and Dissemination. The quality of included nonrandomized interventional studies and observational studies was assessed using the ROBINS-I tool. The quality assessment was completed by 1 individual and verified by a second independent reviewer.

AUC = area under the curve; dMMR = mismatch repair deficient; EORTC QLQ-C30 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30; EORTC QLQ-EN24 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire – Endometrial Cancer Module; FACT-G = Functional Assessment of Cancer Therapy–General; HRQoL = health-related quality of life; ITC = indirect treatment comparison; MAIC = matching-adjusted indirect comparison; MMR = mismatch repair; mTOR = mammalian target of rapamycin; OS = overall survival; PARP = poly(adenosine diphosphate ribose) polymerase; PFS = progression-free survival; PFS2 = progression-free survival from time from randomization to the earliest progression event; pMMR = mismatch repair proficient; RCT = randomized controlled trial; ROBINS-I = Risk of Bias in Non-randomised Studies of Interventions; SF-36 = Short Form (36) Health Survey; SF-6D = Short Form 6 Dimensions; SLR = systematic literature review; SOC = standard of care; VAS = visual analogue scale.

Source: Details included in the table are from the sponsor’s summary of clinical evidence.22

Study Selection Methods

Details of the methods used for study selection are in Table 21. In summary, an SLR was conducted focusing on systemic anticancer treatments and excluded all other therapies. The patient population of interest comprised those newly diagnosed with stage III or IV disease or recurrent disease who were either naive to first-line therapy or had been treated with 1 prior line of chemotherapy. The submission did not provide details on the date when the SLR was conducted, the range of publication dates that was used in the search terms, or the search terms used.

MAIC Analysis Methods

Details of the analysis methods for the MAIC are presented in Table 22. Briefly, an anchored MAIC was performed using a frequentist approach and Bucher methodology. The treatment effects for the 2 efficacy outcomes, PFS and OS, were reported as an HR and associated 95% CI for SOC plus durvalumab versus SOC plus dostarlimab, with an HR of less than 1 favouring SOC plus durvalumab. For safety end points, ORs were calculated for SOC plus durvalumab versus SOC plus dostarlimab, with ORs of less than 1 favouring SOC plus durvalumab. ORs were estimated from AE frequency data and the number of patients included in the safety analysis sets.

Table 22: MAIC Analysis Methods

Methods

Description

Analysis methods

Anchored MAIC using a frequentist approach and the Bucher methodology.

Priors

None.

Assessment of model fit

None reported.

Assessment of consistency

None reported.

Assessment of convergence

None reported.

Outcomes

The same outcome measures were assessed between the 2 studies; the submission did not provide any details on how censoring may have been similar or different between the 2 studies.

Follow-up time points

The median follow-up times for patients censored for PFS and OS were reported, as well as the data cut-off for the studies.

Construction of nodes

The network was constructed based on common comparators; the submission did not provide details on how the SOC arm treatment regimens were compared.

Sensitivity analyses

None reported.

Subgroup analysis

None reported.

Methods for pairwise meta-analysis

None reported.

Identifying matching variables

Variables were identified from the literature and in consultation with medical and clinical experts from the sponsor. The results of prespecified subgroup analyses for platinum-based chemotherapy plus immunotherapy were reviewed from the following trials: DUO-E, RUBY, NRG-GY018 (NCT03914612), and AtTend (NCT03603184).

Matching procedure

Matching was performed using the method of moments approach described in NICE DSU guidance70 using a propensity score derived from logistic regression. Histograms of weights were inspected for the presence of extreme weights; the submission did not provide a threshold for what was considered extreme.

Comparison of baseline characteristics

Baseline characteristics before and after matching were compared. The submission did not provide details on whether statistical testing was undertaken in the matching.

MAIC = matching-adjusted indirect comparison; NICE DSU = National Institute for Health and Care Excellence Decision Support Unit; OS = overall survival; PFS = progression-free survival; SOC = standard of care.

Source: Details included in the table are from the sponsor’s summary of clinical evidence22 and the MAIC technical report.71

Results of MAIC

Summary of Included Studies

The submission did not provide a PRISMA diagram of results from the SLR but reported that the SLR identified 2 phase III double-blind, placebo-controlled RCTs relevant to the indirect treatment comparison: the DUO-E and RUBY Part 1 studies. A summary of key study characteristics is in Table 23. Briefly, differences were noted in the median duration of follow-up as well as the molecular characteristics of patients; the primary analysis for the MAICs used data from the post hoc subgroup of the DUO-E study, which contained only patients with dMMR and/or MSI-H cancer (and therefore could contain patients with MSI-H pMMR endometrial cancer), and the main analysis in the RUBY Part 1 study enrolled patients who had either dMMR or MSI-H tumours.

Table 23: Summary of Key Study Characteristics for the DUO-E and RUBY Part 1 Trials

Characteristics

DUO-E study

RUBY Part 1 study

Study design

Ongoing phase III, randomized, multicentre, double-blind, placebo-controlled trial

Phase III, double-blind, randomized, placebo-controlled trial

Trial eligibility criteria

  • Female patients aged ≥ 18 years

  • Histologically confirmed diagnosis of epithelial endometrial carcinoma excluding sarcomas in 1 of the following categories:

    • newly diagnosed stage III disease

    • newly diagnosed stage IV disease (with or without disease following surgery or diagnostic biopsy)

    • recurrence of disease when the potential for cure by surgery alone or in combination was poor.

  • Naive to first-line systemic anticancer treatment, or prior systemic anticancer treatment, but only if administered in the adjuvant setting and at least 12 months had elapsed from the date of the last dose of treatment to the date of subsequent relapse

  • ECOG Performance Status of 0 or 1

  • Life expectancy of at least 16 weeks

  • Postmenopausal or evidence of nonchildbearing status for individuals of childbearing potential

  • Adequate organ and bone marrow function

  • Female patients aged ≥ 18 years

  • Histologically or cytologically confirmed primary advanced or recurrent endometrial cancer that was not uterine sarcoma and was not amenable to curative therapy (FIGO stage III or IV) in 1 of the following categories:

    • primary advanced stage IIIA, IIIB, or IIIC1

    • primary advanced stage IIIC1 disease with carcinosarcoma or clear cell, serous, or mixed histology

    • primary advanced stage IIIC2 or IV, regardless of the presence of measurable disease

    • disease in its first recurrence and not treated with systemic therapy (or treated in a neoadjuvant or adjuvant setting and that had recurred or progressed at least 6 months after treatment).

  • ECOG Performance Status of 0 or 1

  • Adequate organ function

  • Contraceptive use consistent with local regulations

Randomization stratification

  • MMR status (proficient vs. deficient)

  • Disease status (recurrent vs. newly diagnosed)

  • Region (Asia vs. rest of the world)

  • MMR status (proficient vs. deficient)

  • ECOG Performance Status (0 vs. 1)

  • Prior chemotherapy (yes vs. no)

Chemotherapy phase

Durvalumab 1,120 mg (or placebo) IV in combination with carboplatin (AUC 5 mg/mL/min) and paclitaxel (175 mg per m2) q.3.w. for 4 to 6 cycles

Dostarlimab 500 mg (or placebo) in combination with carboplatin (AUC 5 mg/mL/min) and paclitaxel (175 mg per m2) q.3.w. for 6 cycles

Maintenance phase

Durvalumab 1,500 mg (or placebo) IV every 4 weeks until disease progression

Dostarlimab 1,000 mg every 6 weeks for up to 36 months (approximately 26 cycles)

Placebo response

Not reported

Not reported

Definitions of key end points

  • Primary: PFS assessed by investigator

  • Secondary: OS

  • Primary: PFS, assessed by investigator, among patients with dMMR or MSI-H primary advanced or recurrent cancer

  • Primary: OS in the overall population

  • Secondary: PFS determined by BICR

Timing of end point evaluation

  • Median follow-up in patients censored for PFS was 12.6 months in the control arm and 15.4 months in the durvalumab arm

  • Median follow-up in patients censored for OS was 18.6 months in the control arm and 18.4 months in the durvalumab arm

  • Median follow-up of 24.8 months in population with dMMR or MSI-H

  • Median follow-up of 25.4 months in the overall population

Data maturity (PFS)

61% (438 events in 718 patients)

61.9% (312 events in 504 patients)

Data maturity (OS)

27.7% (199 events in 718 patients)

32.7% (165 events in 504 patients)

Withdrawal frequency

Time-to-event analysis

Time-to-event analysis

Clinical trial setting

Not reported

Not reported

AUC = area under the curve; BICR = blinded independent central review; dMMR = mismatch repair deficient; ECOG = Eastern Cooperative Oncology Group; FIGO = International Federation of Gynecology and Obstetrics; MAIC = matching-adjusted indirect comparison; MMR = mismatch repair; MSI-H = microsatellite instability-high; OS = overall survival; PFS = progression-free survival; q.3.w. = every 3 weeks; vs. = versus.

Source: Details included in the table are from the sponsor’s summary of clinical evidence22 and MAIC technical report.71

Results

The base case of the MAIC for PFS matched on the following variables: region (Asia versus rest of world) and disease status. The summary of select baseline characteristics before and after matching is in Table 24. Of note, after the matching procedure, minor differences remained in the proportion of patients who were Black or African American (███% in the DUO-E trial after weighting and 8.5% in the RUBY Part 1 study), and the proportion of patients who were aged 65 years or older (████% in the DUO-E trial after weighting and 49.2% in the RUBY Part 1 study).

Table 24: Summary of Baseline Characteristics Before and After Matching — DUO-E and RUBY Part 1 Studies

Variable

Subgroups

DUO-E study

RUBY

Part 1 study

Before

weighting

After

weighting

Age group (years)

< 65

55.1%

██ ███

██ ███

≥ 65

44.9%

██ ███

██ ███

Disease status

Primary stage III

9.3%

██ ███

██ ███

Primary stage IV

40.2%

██ ███

██ ███

Recurrent

50.5%

██ ███

██ ███

ECOG Performance Status

0: Normal activity

57.0%

██ ███

██ ███

1: Restricted activity

43.0%

██ ███

██ ███

Histologic type

Endometrioid

78.5%

██ ███

██ ███

Serous

3.7%

██ ███

██ ███

Other

17.8%

██ ███

██ ███

Race

American Indian or Alaska Native [wording from original source]

██ ███

██ ███

██ ███

Asian

██ ███

██ ███

██ ███

Black or African American

██ ███

██ ███

██ ███

Not reported

██ ███

██ ███

██ ███

Other

██ ███

██ ███

██ ███

White

██ ███

██ ███

██ ███

ECOG = Eastern Cooperative Oncology Group; MAIC = matching-adjusted indirect comparison.

Sources: Details included in the table are from the sponsor’s summary of clinical evidence22 and MAIC technical report.71

Detailed MAIC results for the efficacy end points are presented in Table 25. Briefly, the results for PFS from the anchored, weighted MAIC and the results of OS using the anchored, unweighted MAIC suggested there was insufficient evidence to detect a difference between durvalumab plus SOC and dostarlimab plus SOC. The harms results from the anchored, unweighted MAIC also suggested there was insufficient evidence to detect a difference between durvalumab plus SOC and dostarlimab plus SOC for AEs leading to discontinuation and any SAEs. However, durvalumab plus SOC was favoured over dostarlimab plus SOC for grade 3 or greater AEs.

Critical Appraisal of MAIC

The body of indirect evidence consisted of 2 MAIC analyses informed by an SLR. The procedures as described for screening, data extraction, and the quality assessment steps used were considered generally accepted methods. However, the date on which the SLR was undertaken was not provided, and it is not known whether the most recent publications on any relevant comparators would have been captured in the search. In addition, the search terms were not provided in the submission and there was no description of the numbers of papers retrieved, screened, or extracted. As such, the results from the SLR, including the steps leading to the selection of the comparator study, are not known. Lastly, while the number of reviewers and steps for the assessment of study quality were conducted using generally accepted methods, the submission did not provide the results of the quality assessment; therefore, the risk of bias in the studies is not known. Because both the DUO-E and RUBY Part 1 studies were phase III trials, the risk of bias may be lower; however, the results of the MAIC analyses was based on subgroups from these trials, so the potential for bias remains.

Table 25: MAIC Results

Study

Population

Treatment

Events, n (%)

Unadjusted results

MAIC-adjusted results

Sample size

Unadjusted HR

(95% CI)

ESS

Adjusted HR

(95% CI)

Progression-free survival: Anchored, weighted MAIC

DUO-E

dMMR

SOC

██ ███

██ ███

██ ███

██

██ ██████

SOC + durvalumab

██ ███

██ ███

DUO-E

dMMR or MSI-H

SOC

██ ███

██ ███

██ ███

██

██ ██████

SOC + durvalumab

██ ███

██ ███

RUBY Part 1

dMMR or MSI-H

SOC

██ ███

██ ███

██ ███

SOC + dostarlimab

██ ███

██ ███

Overall survival: Anchored, unweighted MAIC

DUO-E

dMMR

SOC

██ ███

██ ███

██ ███

██

██ ██████

SOC + durvalumab

██ ███

██ ███

DUO-E

dMMR or MSI-H

SOC

██ ███

██ ███

██ ███

██

██ ██████

SOC + durvalumab

██ ███

██ ███

RUBY Part 1

dMMR or MSI-H

SOC

██ ███

██ ███

██ ███

SOC + dostarlimab

██ ███

██ ███

Any AEs grade 3 or more: Anchored, unweighted MAIC

DUO-E

Safety dataset

SOC

██ ███

██ ███

██ ███

██

██ ██████

SOC + durvalumab

██ ███

██ ███

RUBY Part 1

Safety dataset

SOC

██ ███

██ ███

██ ███

██

SOC + dostarlimab

██ ███

██ ███

AEs leading to discontinuation of drug or placebo: Anchored, unweighted MAIC

DUO-E

Safety dataset

SOC

██ ███

██ ███

██ ███

██

██ ██████

SOC + durvalumab

██ ███

██ ███

RUBY Part 1

Safety dataset

SOC

██ ███

██ ███

██ ███

██

SOC + dostarlimab

██ ███

██ ███

Any SAEs: Anchored, unweighted MAIC

DUO-E

Safety dataset

SOC

██ ███

██ ███

██ ███

██

██ ██████

SOC + durvalumab

██ ███

██ ███

RUBY Part 1

Safety dataset

SOC

██ ███

██ ███

██ ███

██

SOC + dostarlimab

██ ███

██ ███

AE = adverse event; CI = confidence interval; dMMR = mismatch repair deficient; ESS = effective sample size; HR = hazard ratio; MAIC = matching-adjusted indirect comparison; MSI-H = microsatellite instability-high; NA = not applicable; NR = not reported; SAE = serious adverse event; SOC = standard of care.

aNot included in the MAIC analysis.

Sources: Details included in the table are from the sponsor’s summary of clinical evidence22 and the MAIC technical document.71

There are also limitations in the body of evidence that add uncertainty to both MAIC analyses. For both MAIC efficacy analyses, data from a subgroup of the RUBY Part 1 study and a subgroup from the DUO-E trial were used (patients with dMMR and/or MSI-H cancers). In the case of the DUO-E trial, this resulted in the inclusion of some patients with pMMR cancer with MSI-H status in the subgroup used for the analysis, which is likely to somewhat bias the results because MMR status is a known treatment-effect modifier. Likewise, a subgroup from the RUBY Part 1 study was used in the analysis, and it is not known whether the trial itself was adequately powered to detect an effect in the subgroup or whether the subgroup was prespecified. In addition to this, the subgroup from the DUO-E trial is subject to the same limitations that were described in the critical appraisal of the pivotal trial i.e., the dMMR subgroup had inestimable PFS or OS, likely due to immature data. In addition to this, the 2 studies differ considerably in the median follow-up time because the follow-up period in the RUBY Part 1 study was longer than in the DUO-E trial (twice as long follow-up time for PFS). This impacts the interpretation of the results because there is a longer time frame over which events could have occurred, which increases the likelihood of bias to possibly favour durvalumab because there was a shorter follow-up period over which events could accrue. Lastly, in both studies, the subgroup arms had small sample sizes and a low number of events, which impacts the power of the analysis. For both MAICs, the procedure for identifying the characteristics to match on was provided in the submission and the list of characteristics was comprehensive, per the clinical experts. However, only select baseline characteristics were reported after matching; therefore, it is not known whether there are other potential sources of confounding in other baseline clinical and demographic characteristics across studies. Furthermore, there were no details reported on model fit, convergence, or model selection, which is another potential source of bias or uncertainty.

In addition to the limitations in the comparability of the studies and matching, there are additional limitations specific to each efficacy outcome. The MAIC for PFS was a weighted anchored MAIC, and the weighting procedure was largely able to balance the baseline characteristics reported. However, the ESS was approximately ██% smaller (N = ████) than the number of patients prematching (N = 107), suggesting that data from a smaller number of patients may be driving the results, which increases the imprecision. Taken as a whole, these results are subject to high uncertainty due to the limitations in the comparability of the studies as well as the limitations around the size of the ESS. With regard to the MAICs undertaken for the OS and harms outcomes, the results provided in the submission were for unweighted, anchored MAICs that did not employ the propensity score measurement process to reweight the results; thus, this is a largely a naive comparison of the DUO-E and RUBY Part 1 studies. For OS, this was due to the small number of events observed (8 events for dMMR or MSI-H in SOC plus durvalumab and 7 events for SOC plus dostarlimab), which would generate potentially unstable results if reweighted and compared using MAIC methodology. There were still notable differences between the 2 studies at baseline. These included disease status (the proportion of patients with primary stage III disease in the DUO-E study at baseline was 9.3% and in the RUBY Part 1 study, it was 20.3%; the proportion of patients with primary stage IV cancer in the DUO-E study at baseline was 40.2% and in the RUBY Part 1 study it was 29.7%). Furthermore, an ESS was not reported for the OS or harms MAICs, and it is not known how the sample size in the 2 studies compares with the sample in the MAIC. It is highly likely that not all possible effect modifiers were controlled for in the analysis for these outcomes. Taken as a whole, this limitation along with the limitations in the comparability of the studies significantly undermine the results for OS and harms.

Studies Addressing Gaps in the Systematic Review Evidence

The submission did not contain any additional studies addressing gaps in the systematic review evidence.

Discussion

Summary of Available Evidence

This report summarizes the evidence for durvalumab in combination with carboplatin and paclitaxel, followed by treatment with durvalumab monotherapy, for the first-line treatment of adult patients with primary advanced or recurrent dMMR endometrial cancer who are candidates for systemic therapy. The evidence appraisal was based on results from the first IA of an ongoing phase III multisite, double-blind, placebo-controlled RCT (the DUO-E trial), as well as indirect treatment comparisons consisting of 2 MAIC analyses comparing durvalumab plus carboplatin and paclitaxel followed by durvalumab monotherapy, versus dostarlimab, carboplatin, and paclitaxel followed by dostarlimab monotherapy for up to 36 months. No long-term extension studies or studies addressing gaps were included in the review. The primary outcome of the DUO-E trial was PFS, and secondary end points included OS, ORR, DOR, TDT, and HRQoL measures (change from baseline at 18 and 42 weeks in EORTC QLQ-C30 global health status, EORTC QLQ-EN24 pain in back and pelvis score, and EORTC QLQ-EN24 urological symptoms score).

The DUO-E trial randomized patients with either pMMR or dMMR endometrial cancer into all 3 study arms; however, the evidence appraised from the DUO-E trial was based on a subgroup of patients with dMMR status who received SOC (defined as carboplatin and paclitaxel) plus placebo, or SOC plus durvalumab, to align with the Health Canada indication and reimbursement request. In total, 49 patients with dMMR status were enrolled to receive SOC for 6 cycles followed by placebo maintenance therapy, and 46 patients with dMMR status were enrolled to receive SOC plus durvalumab for 6 cycles followed by durvalumab maintenance therapy.

The patients in the dMMR subgroup of the DUO-E trial were approximately evenly split between those with newly diagnosed versus recurrent disease status, and most patients had metastatic disease. Patients with recurrent disease in the SOC plus durvalumab arm had a numerically longer mean time since initial diagnosis, and there were numeric differences between study arms in the proportion of patients who had locally advanced disease, the proportion of patients with debulking surgery history, the proportion of patients with a grade G2 tumour, and in the proportion of patients with an ECOG status of 0 or 1. The clinical experts also noted that the study inclusion and exclusion criteria, as well as the baseline characteristics, broadly characterized patients in the Canadian clinical setting who would be candidates for durvalumab, with the exception of patients with an ECOG status greater than 1, because those patients would likely be offered treatment.

Interpretation of Results

Efficacy

The clinical experts consulted for this review indicated that OS is the clinical outcome of most interest, and the clinician group input indicated that PFS is also an important outcome. Per FDA guidance, PFS — which was the primary end point of the DUO-E study — can be used for regulatory approval depending on other factors such as effect size, duration, and the benefits of other available therapies.72 The clinical experts consulted for this review noted there is a current unmet need for treatment options in patients with dMMR endometrial cancer because some patients do not experience a response to current therapies and, in general, patients on chemotherapy alone tend to experience disease progression despite initial treatment response. With the addition of ICI therapy, the experts noted that many patients do not experience disease progression; however, dostarlimab — which received a recommendation to reimburse in May 2024 — remains the only ICI available in Canada for these patients. Both the patient and clinician groups also noted that toxicities related to current treatments impact HRQoL. The outcomes in the DUO-E trial included survival outcomes and HRQoL measures; therefore, the study evaluated several outcomes of importance to patients and clinicians.

PFS and OS were the primary and secondary outcomes of the DUO-E trial. The clinical experts consulted for this review agreed that a PFS benefit of 15% to 20% at 12 months, and a 10% to 15% benefit at 18 months, would be clinically meaningful. Based on this threshold, the results of the DUO-E study suggest that durvalumab plus SOC may increase the proportion of patients who do not experience any disease progression at 12 months and 18 months relative to SOC alone. However, the PFS analysis was only prespecified to be undertaken once a specific number of events was reached in the ITT population and not in the dMMR subgroup; thus, these results can only be considered supportive of the overall effect of durvalumab. In the SOC plus durvalumab arm, the median PFS was not reached (51.0% of patients in the SOC arm and 32.6% of patients in the SOC plus durvalumab arm had reported a PFS event at the data cut-off). The clinical experts consulted for this review noted that the point estimate for the HR was compelling; however, it had a wide CI, suggesting imprecision in the results. The wide CI and inestimable median PFS suggests that the results as of the data cut-off were immature for patients with dMMR endometrial cancer based on an information fraction of ████% (██ events per ████ patients across both study arms), although the information fraction for the ITT population was 61.0%. This implies there is high uncertainty in the results observed, and the confidence with which the results predict PFS in the long-term is not clear.

Similarly, for OS, the clinical experts consulted for this review agreed that an OS benefit of 10% at 12 months and 10% at 18 months would be clinically meaningful. Based on this threshold, the results of the DUO-E study suggest that durvalumab plus SOC may increase the proportion of patients alive at 12 months and at 18 months relative to SOC alone. The first IA for OS was prespecified to occur when the criteria for the PFS analysis were met; however, at this data cut-off, the median OS was not reached for either the SOC arm or the SOC plus durvalumab arm in the dMMR subgroup, and only ███████ OS events had occurred, suggesting immaturity in the results. Similarly, the point estimates of the HR were considered compelling, according to the clinical experts. However, the estimate also had a wide CI, suggesting imprecision. Furthermore, the analysis for all survival outcomes in the subgroup was conducted using an unstratified model and was not controlled for multiple comparison. Overall, this suggests that the survival data at the data cut-off are immature for patients with dMMR cancer and, combined with the study limitations, this implies there is high uncertainty in the results; therefore, the confidence with which the results predict OS in the long-term is not clear.

HRQoL was assessed in the DUO-E study using 2 cancer-related measures, the EORTC QLQ-C30 and EORTC QLQ-EN24, which were assessed at 18 and 42 weeks. The results for HRQoL were impacted by high levels of attrition, with only 55% to 65% of patients completing HRQoL measures at week 18, and 54% to 61% completing HRQoL measures at week 42. The HRQoL measures were modelled using a mixed model for repeated measures with no imputation for missing data, and the model assumes that data are missing at random. This assumption is likely inappropriate because the study design is based on time-to-event principles; therefore, patients who are lost to follow-up are most likely lost because they had an event. Given the high attrition rate and missing data, the results for HRQoL are uncertain and may be biased. Lastly, there are no MIDs for these measures in patients with endometrial cancer, so the clinical impact of the results is unclear. Despite the limitations in data availability, the choice of model, and the lack of MIDs, the results do not suggest any explicit detriment in HRQoL; however, firm conclusions regarding the impact of durvalumab plus SOC followed by durvalumab maintenance on HRQoL cannot be drawn.

The clinical experts noted that in this setting, dostarlimab would be the main comparator for durvalumab. As such, 2 sponsor-submitted MAIC analyses assessing the comparative PFS and OS of durvalumab plus SOC from the DUO-E study and dostarlimab plus SOC from the RUBY Part 1 trial were included in this review. The heterogeneity in the patient populations with respect to mutation status, the immaturity of results for each trial, and the substantial reduction in ESS increase the risk of bias in the results as well as the uncertainty in the effect estimates. The results from the PFS analysis suggested there was no difference between the 2 treatments, but the results are highly uncertain due to the described limitations. The OS analysis was an anchored unweighted MAIC and although the results suggested there was no difference between durvalumab and dostarlimab, the limitations in the analysis and the body of evidence did not allow conclusions to be drawn regarding the comparative efficacy of the treatments for this outcome. As noted, results for both outcomes were associated with wide 95% CIs, reducing the precision of the results.

The indication is for first-line therapy for patients with dMMR cancer who are candidates for systemic therapy. The results from the DUO-E trial were from a relatively small sample size and there were no sensitivity analyses provided to determine the robustness of the results across subgroups (for example, patients with recurrent versus newly diagnosed cancer). In addition, in the dMMR subgroup, the total treatment exposure was ████ weeks in the SOC plus durvalumab arm; therefore, longer-term efficacy and safety results are unavailable, which is important in the context of a treatment that is intended to be administered for potentially long periods of time. The clinical experts also referenced pembrolizumab as a potential future comparator in the first-line setting. This drug is currently under review by CDA-AMC in combination with chemotherapy for the treatment of adult patients with primary advanced or recurrent endometrial cancer, followed by monotherapy.73 The experts noted that they would consider all 3 therapies to be interchangeable, although if a patient’s cancer failed to respond to a therapy, they would not re-trial with a treatment in that same drug class. Therefore, the list of relevant comparators may change for durvalumab, and the approval of durvalumab may impact therapeutic options in later lines of therapy.

Harms

Harms were reported for both the “overall phase” of the DUO-E study (i.e., including both the chemotherapy and maintenance phases) and the maintenance phase alone. Although the overall frequency of AEs was similar between the maintenance phase and overall phase (100% in the SOC and SOC plus durvalumab groups in the overall phase versus 88.0% and 93.9% in the SOC and SOC plus durvalumab groups in the maintenance phase), the frequency of individual AEs was higher in the overall phase of the study. Though harms results for the chemotherapy phase alone were not provided, it is expected that the increased harms in the overall phase may be due to chemotherapy; however, this is unclear.

As noted, all patients experienced AEs during the study, and the majority of patients (60.9% of patients in the SOC arm and 52.3% of patients in the SOC plus durvalumab arm) experienced an AE with a maximum grade of 3 or 4. The most commonly reported AEs (of any grade) included nausea, alopecia, arthralgia, and anemia. One expert noted that rates of alopecia (41.3% of patients in the SOC arm and 52.3% of patients in the SOC plus durvalumab arm) were lower in the DUO-E study than what they would expect to see in practice with the chemotherapy regimen of carboplatin and paclitaxel because this regimen causes grade 2 alopecia in nearly all patients, which raises questions about the accuracy of harms reporting in this study. SAEs were reported in 32.6% of patients in the SOC arm and 29.5% in the SOC plus durvalumab arm. The most commonly reported SAEs were gastrointestinal disorders (11.4% in the SOC plus durvalumab arm and 4.3% in the SOC arm), blood and lymphatic system disorders (10.9% in the SOC arm and 2.3% in the SOC plus durvalumab arm), infections and infestations (6.5% in the SOC arm and 6.8% in the SOC plus durvalumab arm), and renal and urinary disorders (8.7% in the SOC arm and 0% in the SOC plus durvalumab arm).

The majority of patients in both study arms also experienced an AESI identified by the clinical experts for this review. The causes of death in the study were not reported, which is an important limitation because it is not known whether disease progression, immune suppression, or other factors caused the deaths reported. Overall, the clinical experts consulted for this review noted that the degree and types of harms reported to date were similar to what is typically expected for patients undergoing chemotherapy with an ICI. The comparative safety of durvalumab was analyzed in the indirect evidence using anchored, unweighted MAICs. As noted, the comparative safety remains uncertain, given the limitations in the sponsor-submitted indirect evidence.

The DUO-E study is ongoing; therefore, the harms reporting is not yet complete and some additional harms may not have been captured in the data. In addition, the lack of a long-term extension study means that long-term harms data are not available. However, durvalumab has been available for the treatment of other malignancies since 2017, so the AE profile is generally well understood.

Conclusion

One phase III, ongoing, multicentre, double-blind, placebo-controlled RCT (the DUO-E trial) provided evidence for the efficacy and safety of durvalumab plus SOC for 6 cycles followed by durvalumab maintenance therapy as first-line treatment in the subgroup of 95 adult patients with primary advanced or recurrent dMMR endometrial cancer.

Patients and clinicians identified a need for new treatments for primary advanced or recurrent endometrial cancer — which is the most common gynecological malignancy — and prolonged survival was considered the most important outcome. In the subgroup of patients with dMMR endometrial cancer, the subgroup results of the DUO-E trial suggested improved PFS and OS in patients treated with durvalumab. The clinical experts consulted for this review considered these results compelling, and the results of the GRADE assessment suggested that the MIDs for the proportion of patients who do not experience disease progression or who are alive at 12 and 18 months were surpassed. However, because these results were based on a subgroup of the ITT population, statistical analyses were not powered to detect differences in this subgroup, and no adjustments were made for multiple testing. Furthermore, although the median results for time-to-event end points were not reached, the certainty in the magnitude of benefit was reduced because the results were based on a small sample size and an IA with largely immature data based on an information fraction of ████% for the subgroup and treatment arms presented. Furthermore, despite results for HRQoL that suggested no detriment in patients receiving durvalumab, there was a high rate of attrition. As such, the results of these important efficacy outcomes can only be considered supportive of the overall effect of durvalumab and causal conclusions cannot be drawn. Indirect evidence comparing durvalumab with dostarlimab, a relevant comparator in the Canadian clinical setting, suggested no difference between the 2 treatment regimens for PFS; however, the considerable limitations in the indirect evidence preclude conclusions on efficacy (as measured by OS) and harms. While the reporting of harms in the DUO-E study is also immature and lacks important details, in particular with regard to AESIs and the specific causes of death, the clinical experts consulted for this review considered the harms to be typical for patients undergoing chemotherapy with an ICI.

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Appendix 1: Detailed Outcome Data

Please note that this appendix has not been copy-edited.

Table 26: Most Common (20% of Patients or More) Permitted Concomitant Medications — ITT

Exposure

DUO-E study ITT population

SOC

(N = 241)

SOC + durvalumab

(N = 238)

SOC + durvalumab + olaparib

(N = 239)

Number of patients with allowed concomitant medication, n (%)

███ ██████

███ ██████

███ ██████

Serotonin (5HT3) antagonists

███ ██████

███ ██████

███ ██████

Ondansetron

███ ██████

███ ██████

███ ██████

Glucocorticoids

███ ██████

███ ██████

███ ██████

Dexamethasonea

███ ██████

███ ██████

███ ██████

H2 receptor antagonists

███ ██████

███ ██████

███ ██████

Famotidine

███ ██████

███ ██████

███ ██████

Anilides

███ ██████

███ ██████

███ ██████

Acetaminophen

███ ██████

███ ██████

███ ██████

Aminoalkyl ethers

███ ██████

███ ██████

███ ██████

Diphenhydramine

███ ██████

███ ██████

███ ██████

5HT3 = serotonin; CSP = clinical study protocol; FAS = full analysis set; H2 = histamine type 2; ITT = intention to treat; SOC = standard of care (carboplatin + paclitaxel).

Note: Included medication started on or after the date of first dose of durvalumab, olaparib, or placebo up until the initiation of the first subsequent anticancer therapy following discontinuation of study treatment or until the end of the safety follow-up period (latest of either 30 days following discontinuation of olaparib/placebo or 90 days following discontinuation of durvalumab/placebo), whichever occurred first.

aThere was a restriction change for dexamethasone (from restricted to allowed) that was implemented in version 3.0 of the CSP (April 15, 2021).

Source: Details included in the table are from the sponsor’s summary of clinical evidence.22

Table 27: Most Common (2 Patients or More) Disallowed Concomitant Medications — ITT

Exposure

DUO-E study ITT population

SOC

(N = 241)

SOC + durvalumab

(N = 238)

SOC + durvalumab + olaparib

(N = 239)

Number of patients with disallowed concomitant medication

███ ██████

███ ██████

███ ██████

Glucocorticoids

███ ██████

███ ██████

███ ██████

Dexamethasonea

███ ██████

███ ██████

███ ██████

Prednisone

███ ██████

███ ██████

███ ██████

Prednisolone

███ ██████

███ ██████

███ ██████

Herbal immunomodulators

███ ██████

███ ██████

███ ██████

Diyushengbai tablet

███ ██████

███ ██████

███ ██████

Appetite stimulants

███ ██████

███ ██████

███ ██████

Megestrol acetate (Megace F suspension)

███ ██████

███ ██████

███ ██████

Herbal anticancer remedies

███ ██████

███ ██████

███ ██████

Kanglaite injection

███ ██████

███ ██████

███ ██████

ITT = intention to treat; SOC = standard of care (carboplatin and paclitaxel).

Note: Included medication started on or after the date of first dose of durvalumab, olaparib, or placebo up until the initiation of the first subsequent anticancer therapy following discontinuation of study treatment or until the end of the safety follow-up period (latest of either 30 days following discontinuation of olaparib or placebo or 90 days following discontinuation of durvalumab or placebo), whichever occurred first.

aThere was a restriction change for dexamethasone (from restricted to allowed) that was implemented in clinical study protocol version 3.0 (April 15, 2021).

Source: Details included in the table are from the sponsor’s summary of clinical evidence.22

Table 28: Results of the Survival Analysis of the ITT Population From the DUO-E Study

Variable

ITT population

SOC

N = 241

SOC + durvalumab

N = 238

SOC + durvalumab + olaparib

N = 239

PFS: Primary outcomea

Total events, n (%)b

173 (71.8)

139 (58.4)

126 (52.7)

Censored patients, n (%)

███ ██████

███ ██████

███ ██████

Progression-free disease at time of analysis

███ ██████

███ ██████

███ ██████

Censored deathc

███ ██████

███ ██████

███ ██████

Withdrawn consent

███ ██████

███ ██████

███ ██████

No postbaseline evaluable tumour assessment

███ ██████

███ ██████

███ ██████

Censored RECIST progressiond

███ ██████

███ ██████

███ ██████

Lost to follow-up

███ ██████

███ ██████

███ ██████

Duration of follow-up in censored patients (months), median (range)

███ ██████

███ ██████

███ ██████

PFS (months), median (95% CI)

9.6 (9.0 to 9.9)

10.2 (9.7 to 14.7)

15.1 (12.6 to 20.7)

HR (95% CI) vs. SOCe

NA

0.71 (0.57 to 0.89)

0.55 (0.43 to 0.69)

P value vs. SOC

NA

0.003

< 0.0001

Proportion of patients whose cancer was progression-free, % (95% CI)

At 6 months

82.5 (76.9 to 86.8)

83.8 (78.4 to 88.0)

83.9 (78.6 to 88.0)

   Survival difference (95% CI) vs. SOC

NA

NR

NR

At 12 months

41.1 (34.6 to 47.5)

48.5 (41.8 to 54.9)

61.5 (54.9 to 67.4)

   Survival difference (95% CI) vs. SOC

NA

NR

NR

At 18 months

21.7 (16.0 to 27.9)

37.8 (31.0 to 44.5)

46.3 (39.2 to 52.0)

   Survival difference (95% CI) vs. SOC

NA

NR

NR

OS: Secondary outcomea

Deaths, n (%)

███ ██████

███ ██████

███ ██████

Censored patients, n (%)

███ ██████

███ ██████

███ ██████

Still in survival follow-up

███ ██████

███ ██████

███ ██████

Terminated before deathf

███ ██████

███ ██████

███ ██████

Withdrawn consent

███ ██████

███ ██████

███ ██████

Lost to follow-up

███ ██████

███ ██████

███ ██████

Duration of follow-up in censored patients (months), median (range)

18.6 (0.5 to 32.9)

18.4 (2.1 to 33.0)

18.7 (1.1 to 33.4)

OS (months), median (95% CI)

25.9 (23.9 to NR)

NR

NR

HR (95% CI) vs. SOC

NA

0.77 (0.56 to 1.07)

0.59 (0.42 to 0.83)

P value

NA

0.120

0.003

Proportion (95% CI) of patients who were alive

At 6 months

███ ██████

███ ██████

███ ██████

   Survival difference (95% CI) vs. SOC

███ ██████

███ ██████

███ ██████

At 12 months

███ ██████

███ ██████

███ ██████

   Survival difference (95% CI) vs. SOC

███ ██████

███ ██████

███ ██████

At 18 months

███ ██████

███ ██████

███ ██████

   Survival difference (95% CI) vs. SOC

███ ██████

███ ██████

███ ██████

ORR

Number of patients with response out of number of patients with measurable disease at baseline, n/N (%)

███ ██████

███ ██████

███ ██████

OR (95% CI) vs. SOC

███ ██████

███ ██████

███ ██████

CR (%)

███ ██████

███ ██████

███ ██████

PR (%)

███ ██████

███ ██████

███ ██████

DOR

Number of responders who died or whose cancer subsequently progressed out of number of patients whose cancer responded, n/N (%)

███ ██████

███ ██████

███ ██████

DOR from onset of response (months), median

███ ██████

███ ██████

███ ██████

Proportion of patients remaining in response (%)

6 months

███ ██████

███ ██████

███ ██████

12 months

███ ██████

███ ██████

███ ██████

18 months

███ ██████

███ ██████

███ ██████

24 months

███ ██████

███ ██████

███ ██████

TDT

Total events, n (%)

███ ██████

███ ██████

███ ██████

Treatment discontinuation

███ ██████

███ ██████

███ ██████

Death

███ ██████

███ ██████

███ ██████

Censored patients, n (%)

███ ██████

███ ██████

███ ██████

Median TDT (95% CI), (months)

███ ██████

███ ██████

███ ██████

HR (95% CI) vs. SOC

███ ██████

███ ██████

███ ██████

P value

███ ██████

███ ██████

███ ██████

Event-free rate (95% CI)

At 6 months

███ ██████

███ ██████

███ ██████

At 12 months

███ ██████

███ ██████

███ ██████

At 18 months

███ ██████

███ ██████

███ ██████

CI = confidence interval; CR = complete response; dMMR = mismatch repair deficient; DOR = duration of response; HR = hazard ratio; ITT = intention to treat; MMR = mismatch repair; OR = odds ratio; ORR = objective response rate; OS = overall survival; PFS = progression-free survival; PR = partial response; NA = not applicable; NR = not reported; RECIST = Response Evaluation Criteria in Solid Tumours; SOC = standard of care (carboplatin + paclitaxel); TDT = time to study treatment discontinuation or death; vs. = versus.

aControlled for multiple comparisons.

bPatients who have not died or whose cancer has not progressed (or who have died or whose cancer has progressed after 2 missed assessments) are censored at the latest visit (or the latest visit before the 2 missed assessments), or at day 1.

cDeath that occurred after 2 or more missed RECIST assessments in the absence of progression.

dProgression event occurred after 2 or more missed assessments or within 2 assessments of day 1 if the patient had no evaluable assessments or did not have a baseline assessment.

eA pooling strategy was applied to the primary comparisons of PFS whereby stratification factors were removed until there were at least 5 events in each stratum of interest across the 3 treatment arms. The HR and CI were estimated from a Cox proportional hazard model stratified by MMR and disease status. An HR of less than 1 favoured the treatment arm of interest over the reference arm.

fIncludes patients with unknown survival status or patients who were lost to follow-up.

gEstimated using an unstratified Cox proportional hazards model, with the CI estimated using a profile likelihood approach.

Source: Details included in the table are from the sponsor’s summary of clinical evidence.22

Table 29: HRQoL Results From ITT Population of the DUO-E Study

Variable

ITT population

SOC

N = 241

SOC + durvalumab

N = 238

SOC + durvalumab + olaparib

N = 239

Change from baseline in EORTC QLQ-C30 global health status

Number of patients contributing at baseline, n

███ ███

███ ██████

███ ██████

Baseline score, mean (SD)

███ ███

███ ██████

███ ██████

Number of patients contributing at week 18, na

███ ███

███ ██████

███ ██████

Change from baseline at week 18, mean (SD)a

███ ███

███ ██████

███ ██████

Number of patients contributing at week 42, nb

███ ███

███ ██████

███ ██████

Change from baseline at week 30, mean (SD)b

███ ███

███ ██████

███ ██████

Change from baseline in EORTC QLQ-EN24 pain in back and pelvis

Number of patients contributing at baseline, n

███ ███

███ ███

███ ███

Baseline score, mean (SD)

███ ███

███ ███

███ ███

Number of patients contributing at week 18, na

███ ███

███ ███

███ ███

Change from baseline at week 18, mean (SD)a

███ ███

███ ███

███ ███

Number of patients contributing at week 42, nb

███ ███

███ ███

███ ███

Change from baseline at week 42, mean (SD)b

███ ███

███ ███

███ ███

Change from baseline in EORTC QLQ-EN24 urological symptoms

Number of patients contributing at baseline, n

███ ███

███ ███

███ ███

Baseline score, mean (SD)

███ ███

███ ███

███ ███

Number of patients contributing at week 18, na

███ ███

███ ███

███ ███

Change from baseline at week 18, mean (SD)a

███ ███

███ ███

███ ███

Number of patients contributing at week 42, nb

███ ███

███ ███

███ ███

Change from baseline at week 42, mean (SD)b

███ ███

███ ███

███ ███

dMMR = mismatch repair deficient; EORTC QLQ-C30 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30; EORTC QLQ-EN24 = European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire – Endometrial Cancer Module; HRQoL = health-related quality of life; ITT = intention to treat; SD = standard deviation; SOC = standard of care (carboplatin + paclitaxel or substitutes).

aCorresponds to cycle 6 of the chemotherapy phase.

bAfter the chemotherapy phase, assessment of outcomes shifted from every 3 weeks to every 4 weeks; week 42 corresponds to the sixth month of the maintenance phase.

Sources: Details contained in the table are from the sponsor’s summary of clinical evidence22 and the DUO-E Clinical Study Report.48

Table 30: Summary of Harms Data From the ITT Population of the DUO-E Study

AEs

Overall

Maintenance phase only

SOC

N = 236

SOC + durvalumab

N = 235

SOC + durvalumab + olaparib

N = 238

SOC

N = 169

SOC + durvalumab

N = 183

SOC + durvalumab + olaparib

N = 192

AEs, n (%)

≥ 1 AE

236 (100.0)

232 (98.7)

237 (99.6)

143 (84.6)

158 (86.3)

184 (95.8)

Most common AEs, n (%)a

   Nausea

105 (44.5)

96 (40.9)

130 (54.6)

25 (14.8)

22 (12.0)

79 (41.1)

   Constipation

81 (34.3)

64 (27.2)

78 (32.8)

9 (5.3)

13 (7.1)

13 (6.8)

   Diarrhea

66 (28.0)

74 (31.5)

67 (28.2)

20 (11.8)

28 (15.3)

34 (17.7)

   Vomiting

43 (18.2)

49 (20.9)

61 (25.6)

16 (9.5)

13 (7.1)

39 (20.3)

   Neuropathy peripheral

66 (28.0)

61 (26.0)

60 (25.2)

5 (3.0)

5 (2.7)

12 (6.3)

   Peripheral sensory neuropathy

66 (28.0)

60 (25.5)

60 (25.2)

2 (1.2)

6 (3.3)

3 (1.6)

   Alopecia

118 (50.0)

118 (50.2)

121 (50.8)

1 (0.6)

2 (1.1)

5 (2.6)

   Fatigue

87 (36.9)

82 (34.9)

93 (39.1)

19 (11.2)

13 (7.1)

43 (22.4)

   Anemia

128 (54.2)

111 (47.2)

147 (61.8)

17 (10.1)

16 (8.7)

70 (36.5)

   Neutropenia

31 (13.1)

36 (15.3)

49 (20.6)

1 (0.6)

6 (3.3)

21 (10.9)

   Neutrophil count decreased

63 (26.7)

44 (18.7)

50 (21.0)

6 (3.6)

8 (4.4)

16 (8.3)

   Arthralgia

58 (24.6)

71 (30.2)

58 (24.4)

16 (9.5)

34 (18.6)

22 (11.5)

   COVID-19

32 (13.6)

36 (15.3)

48 (20.2)

20 (11.8)

21 (11.5)

34 (17.7)

   Urinary tract infection

50 (21.2)

33 (14.0)

48 (20.2)

23 (13.6)

14 (7.7)

25 (13.0)

   Decreased appetite

46 (19.5)

42 (17.9)

55 (23.1)

6 (3.6)

9 (4.9)

28 (14.6)

SAEs, n (%)

Patients with any SAE,

n (%)

73 (30.9)

73 (31.1)

85 (35.7)

19 (11.2)

22 (12.0)

42 (21.9)

Most common (≥ 1%)

SAEs, n (%)

   Anemia

███

███ ███

███ ███

███

███ ███

███ ███

   Febrile neutropenia

███

███ ███

███ ███

███

███ ███

███ ███

   Neutropenia

███

███ ███

███ ███

███

███ ███

███ ███

   Aplasia pure red cell

███

███ ███

███ ███

███

███ ███

███ ███

   Urinary tract infection

███

███ ███

███ ███

███

███ ███

███ ███

   Sepsis

███

███ ███

███ ███

███

███ ███

███ ███

   COVID-19

███

███ ███

███ ███

███

███ ███

███ ███

   COVID-19 pneumonia

███

███ ███

███ ███

███

███ ███

███ ███

   Pneumonia

███

███ ███

███ ███

███

███ ███

███ ███

   Urosepsis

███

███ ███

███ ███

███

███ ███

███ ███

   Diarrhea

███

███ ███

███ ███

███

███ ███

███ ███

   Vomiting

███

███ ███

███ ███

███

███ ███

███ ███

   Nausea

███

███ ███

███ ███

███

███ ███

███ ███

   Constipation

███

███ ███

███ ███

███

███ ███

███ ███

   Pneumonitis

███

███ ███

███ ███

███

███ ███

███ ███

   Pulmonary embolism

███

███ ███

███ ███

███

███ ███

███ ███

   Pyrexia

███

███ ███

███ ███

███

███ ███

███ ███

   Deep vein thrombosis

███

███ ███

███ ███

███

███ ███

███ ███

   Hyponatremia

███

███ ███

███ ███

███

███ ███

███ ███

   Fall

███

███ ███

███ ███

███

███ ███

███ ███

   Infusion-related reaction

███

███ ███

███ ███

███

███ ███

███ ███

   Hydronephrosis

███

███ ███

███ ███

███

███ ███

███ ███

   Neutrophil count decreased

███

███ ███

███ ███

███

███ ███

███ ███

Patients who stopped treatment due to AEs, n (%)

Patients with any AE leading to discontinuation of any study treatment or SOC

44 (18.6)

49 (20.9)

58 (24.4)

7 (4.1)

11 (6.0)

27 (14.1)

AEs (≥ 1%) leading to discontinuation of any study treatment or SOC,

n (%)b

   Anemia

███

███ ███

███ ███

███

███ ███

███ ███

   Neutropenia

███

███ ███

███ ███

███

███ ███

███ ███

   Neuropathy peripheral

███

███ ███

███ ███

███

███ ███

███ ███

   Peripheral sensory neuropathy

███

███ ███

███ ███

███

███ ███

███ ███

   Pneumonitis

███

███ ███

███ ███

███

███ ███

███ ███

   Interstitial lung disease

███

███ ███

███ ███

███

███ ███

███ ███

   Infusion-related reaction

███

███ ███

███ ███

███

███ ███

███ ███

   Rash maculopapular

███

███ ███

███ ███

███

███ ███

███ ███

   Drug hypersensitivity

███

███ ███

███ ███

███

███ ███

███ ███

   Hypersensitivity

███

███ ███

███ ███

███

███ ███

███ ███

   Fatigue

███

███ ███

███ ███

███

███ ███

███ ███

Deaths, n (%)

Patients who died

82 (34.0)

65 (27.3)

52 (21.8)

NR

NR

NR

Death with unknown reason

███

███ ███

███ ███

███

███ ███

███ ███

AEs with the outcome of death, n (%)

███

███ ███

███ ███

███

███ ███

███ ███

   Patients with any AE with outcome of death, n (%)

███

███ ███

███ ███

███

███ ███

███ ███

   Cardiac arrest

███

███ ███

███ ███

███

███ ███

███ ███

   Myocardial infarction

███

███ ███

███ ███

███

███ ███

███ ███

   Multiple organ dysfunction syndrome

███

███ ███

███ ███

███

███ ███

███ ███

   Death

███

███ ███

███ ███

███

███ ███

███ ███

   General physical health deterioration

███

███ ███

███ ███

███

███ ███

███ ███

   Sepsis

███

███ ███

███ ███

███

███ ███

███ ███

   COVID-19

███

███ ███

███ ███

███

███ ███

███ ███

   Pneumonia aspiration

███

███ ███

███ ███

███

███ ███

███ ███

   Septic shock

███

███ ███

███ ███

███

███ ███

███ ███

   Urosepsis

███

███ ███

███ ███

███

███ ███

███ ███

   Acute respiratory failure

███

███ ███

███ ███

███

███ ███

███ ███

   Pulmonary embolism

███

███ ███

███ ███

███

███ ███

███ ███

   Respiratory failure

███

███ ███

███ ███

███

███ ███

███ ███

   Renal failure

███

███ ███

███ ███

███

███ ███

███ ███

AEs of special interest, n (%)

Olaparib: New primary malignancies, n (%)

   Number of patients

3 (1.3)

2 (0.9)

2 (0.8)

2 (1.2)

1 (0.5)

1 (0.5)

   Adenocarcinoma of colon

███

███ ███

███ ███

███

███ ███

███ ███

   Neuroendocrine tumour

███

███ ███

███ ███

███

███ ███

███ ███

   Invasive breast carcinoma

███

███ ███

███ ███

███

███ ███

███ ███

   Malignant melanoma

███

███ ███

███ ███

███

███ ███

███ ███

   Papillary thyroid cancer

███

███ ███

███ ███

███

███ ███

███ ███

   Renal neoplasm

███

███ ███

███ ███

███

███ ███

███ ███

Olaparib: Pneumonitis,

n (%)

   Number of patients with pneumonitis

1 (0.4)

4 (1.7)

12 (5.0)

0

3 (1.6)

8 (4.2)

   Pneumonitis

███

███ ███

███ ███

███

███ ███

███ ███

   Interstitial lung disease

███

███ ███

███ ███

███

███ ███

███ ███

   Bronchiolitis

███

███ ███

███ ███

███

███ ███

███ ███

Durvalumab, n

   Adrenal insufficiency

███

███ ███

███ ███

███

███ ███

███ ███

   Dermatitis

███

███ ███

███ ███

███

███ ███

███ ███

   Dermatitis bullous

███

███ ███

███ ███

███

███ ███

███ ███

   Eczema

███

███ ███

███ ███

███

███ ███

███ ███

   Erythema multiforme

███

███ ███

███ ███

███

███ ███

███ ███

   Immune-mediated dermatitis

███

███ ███

███ ███

███

███ ███

███ ███

   Psoriasis

███

███ ███

███ ███

███

███ ███

███ ███

   Seborrheic dermatitis

███

███ ███

███ ███

███

███ ███

███ ███

   Rash

███

███ ███

███ ███

███

███ ███

███ ███

   Rash, erythematous

███

███ ███

███ ███

███

███ ███

███ ███

   Rash, macular

███

███ ███

███ ███

███

███ ███

███ ███

   Rash, maculopapular

███

███ ███

███ ███

███

███ ███

███ ███

   Rash, papular

███

███ ███

███ ███

███

███ ███

███ ███

   Rash, pruritic

███

███ ███

███ ███

███

███ ███

███ ███

   Rash, pustular

███

███ ███

███ ███

███

███ ███

███ ███

   Colitis

███

███ ███

███ ███

███

███ ███

███ ███

   Enterocolitis

███

███ ███

███ ███

███

███ ███

███ ███

   Diarrhea

███

███ ███

███ ███

███

███ ███

███ ███

   Drug-induced liver injury

███

███ ███

███ ███

███

███ ███

███ ███

   Hepatitis

███

███ ███

███ ███

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   Immune-mediated hepatitis

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   Hyperthyroidism

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   Central hypothyroidism

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   Hypothyroidism

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   Anaphylactic reaction

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   Anaphylactic shock

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   Drug hypersensitivity

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   Hypersensitivity

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   Infusion-related reaction

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   Urticaria

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   Myasthenia gravis

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   Dermatomyositis

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   Myositis

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   Autoimmune hemolytic anemia

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   Cutaneous vasculitis

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   Hemolytic anemia

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   Immune thrombocytopenia

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   Sarcoidosis

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   Uveitis

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   Vasculitis

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   Interstitial lung disease

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   Pneumonitis

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   Immune-mediated nephritis

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   Autoimmune thyroiditis

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   Immune-mediated thyroiditis

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   Thyroiditis

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   Type 1 diabetes mellitus

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AE = adverse event; ITT = intention to treat; SAE = serious adverse event; SOC = standard of care.

Source: Details included in the table are from the sponsor’s summary of clinical evidence.22

Pharmacoeconomic Review

Abbreviations

AE

adverse event

BIA

budget impact analysis

CAR-PAC

carboplatin and paclitaxel

CDA-AMC

Canada’s Drug Agency

dMMR

mismatch repair deficient

HR

hazard ratio

ICER

incremental cost-effectiveness ratio

ITC

indirect treatment comparison

OS

overall survival

PD

progressed disease

PF

progression-free

PFS

progression-free survival

PSM

partitioned survival model

QALY

quality-adjusted life-year

RDI

relative dose intensity

TTD

time-to-treatment discontinuation

WTP

willingness to pay

Executive Summary

The executive summary comprises 2 tables (Table 1 and Table 2) and a conclusion.

Table 1: Submitted for Review

Item

Description

Drug product

Durvalumab (Imfinzi), 50 mg/mL solution for infusion

Indication

For the first-line treatment of adult patients with primary advanced or recurrent mismatch repair deficient (dMMR) endometrial cancer who are candidates for systemic therapy, followed by maintenance treatment with Imfinzi as monotherapy.

Health Canada approval status

NOC

Health Canada review pathway

Standard

NOC date

January 17, 2025

Reimbursement request

As per indication

Sponsor

AstraZeneca Canada Inc.

Submission history

Previously reviewed: Yes. CDA-AMC has previously reviewed durvalumab as monotherapy or in combination with other products.

Indication: Tremelimumab (Imjudo) for injection in combination with durvalumab for the first-line treatment of adult patients with unresectable hepatocellular carcinoma who require systemic therapy.

Recommendation date: November 3, 2023.

Recommendation: Reimburse with clinical criteria and/or conditions.

Indication: Durvalumab in combination with gemcitabine-based chemotherapy for the treatment of patients with locally advanced or metastatic biliary tract cancer.

Recommendation date: February 3, 2023.

Recommendation: Reimburse with clinical criteria and/or conditions.

Indication: Durvalumab in combination with etoposide and either carboplatin or cisplatin is indicated for the first-line treatment of adult patients with extensive-stage small-cell lung cancer.

Recommendation date: July 27, 2021.

Recommendation: Reimburse with clinical criteria and/or conditions.

CDA-AMC = Canada’s Drug Agency; NOC = Notice of Compliance.

Table 2: Summary of Economic Evaluation

Component

Description

Type of economic evaluation

Cost-utility analysis

PSM

Target populations

Adult patients with primary advanced or recurrent endometrial cancer that is mismatch repair deficient.

Treatments

CAR-PAC plus durvalumab.

Dose regimen

1,120 mg durvalumab in combination with platinum-based chemotherapy every 21 days for 4 to 6 cycles, followed by maintenance with 1,500 mg every 4 weeks as monotherapy.

Submitted price

Durvalumab (50 mg/mL): $938.67 per 2.4 mL vial; $3,911.11 per 10 mL vial.

Submitted treatment cost

Chemotherapy phase: $13,996 every 21 days (durvalumab = $8,671; carboplatin = $1,195; paclitaxel = $4,040)

Maintenance phase: $11,733 every 28 days.

Comparators

CAR-PAC alone

CAR-PAC plus dostarlimab

Perspective

Canadian publicly funded health care payer

Outcomes

QALYs, LYs

Time horizon

Lifetime (37.4 years)

Key data sources

DUO-E trial, sponsor-submitted ITC

Submitted results

CAR-PAC plus durvalumab was dominated by CAR-PAC plus dostarlimab: CAR-PAC plus durvalumab is more costly by $231,661 and results in a 0.61 loss of incremental QALYs.

Key limitations

  • PFS and OS parameter estimates, as derived from the DUO-E trial and sponsor-submitted ITC, were subject to a high degree of uncertainty due to issues related to imprecision, immature data, sample size, and the power of the analyses. Because the model relies heavily on these parameters, the outputs of the model (estimates of costs and QALYs) are also subject to this uncertainty.

  • The model relied on an improper method to calculate the way patients move through a PSM. The decision to cap OS at the general population mortality risk is inappropriate.

  • The assumption that the RDI was less than 100% for durvalumab, but no other treatment, may underestimate the incremental treatment acquisition costs.

  • The sponsor inappropriately assumed that the general population utilities from the UK were generalizable to Canada.

CDA-AMC reanalysis results

  • The CDA-AMC base case reflected several changes to the sponsor’s submission: the removal of the cap on OS, the removal of the age-adjusted utility values, and setting the RDI for durvalumab to 100%.

  • In the CDA-AMC base case, CAR-PAC plus durvalumab was dominated by CAR-PAC plus dostarlimab (incremental costs: $234,585; incremental QALYs lost: 0.68).

CAR-PAC = carboplatin and paclitaxel; CDA-AMC = Canada’s Drug Agency; ICER = incremental cost-effectiveness ratio; ITC = indirect treatment comparison; LY = life-year; OS = overall survival; PFS = progression-free survival; pMMR = mismatch repair proficient; PSM = partitioned survival model; QALY = quality-adjusted life-year; RDI = relative dose intensity.

Conclusions

The Clinical Review by Canada’s Drug Agency (CDA-AMC) of the DUO-E trial concluded with low certainty that carboplatin and paclitaxel (CAR-PAC) plus durvalumab is more effective than CAR-PAC alone in terms of overall survival (OS) and progression-free survival (PFS) for the treatment of adult patients with primary advanced or recurrent endometrial cancer that is mismatch repair deficient (dMMR). A definitive conclusion could not be reached for either outcome in the indirect treatment comparison (ITC) that was used to inform the relative effectiveness of CAR-PAC plus durvalumab and CAR-PAC plus dostarlimab in the submitted model. This was attributed to the imprecision of the relative effect estimates as well as concerns relating to the sample size and the power of the analysis. These limitations in the comparative clinical evidence translate to uncertainty surrounding the estimated cost-effectiveness of CAR-PAC plus durvalumab relative to other comparators.

The results from the CDA-AMC base case are similar to the sponsor’s base case: CAR-PAC plus durvalumab is dominated by CAR-PAC plus dostarlimab; CAR-PAC plus durvalumab results in greater total costs (additional $234,585) and 0.68 fewer quality-adjusted life-years (QALYs). As a result, CAR-PAC plus durvalumab would not be cost-effective at a willingness-to-pay (WTP) threshold of $50,000 per QALY gained. At a 47% reduction in the price of durvalumab, CAR-PAC plus durvalumab was equally costly and less effective compared with CAR-PAC plus dostarlimab. At this price reduction, CAR-PAC plus durvalumab was associated with an incremental cost-effectiveness ratio (ICER) of $33,074 compared with CAR-PAC alone. The vast majority of the predicted incremental LYs and QALYs for CAR-PAC plus durvalumab compared with CAR-PAC was estimated through extrapolation beyond the period of observed evidence. The uncertainty in the evidence for long-term OS and PFS adds uncertainty to the estimates of relative costs and QALYs compared with CAR-PAC, and a greater price reduction may be required to achieve cost-effectiveness.

Input Relevant to the Economic Review

This section is a summary of the feedback relevant to this economic review received from the patient groups, clinician groups, and drug plans that participated in the CDA-AMC review process.

Patient input was received as a joint submission from the Colorectal Cancer Resource & Action Network, the Canadian Cancer Survivor Network, and HPV Global Action. Information was collected using an online survey of patients with endometrial cancer conducted from October to November 2023. All 6 respondents to the survey were self-reported residents of Canada. In addition, telephone interviews were conducted with 2 patients in Canada with endometrial cancer who had enrolled in the DUO-E trial. Survey respondents reported treatment histories that included radiation therapy, surgical resection, targeted therapy, hormonal therapy, immunotherapy, and complementary medicines. Before enrolling in the DUO-E trial, both interview participants had undergone a hysterectomy followed by chemotherapy treatment. Survey respondents ranked prolonging life as the most important issue they hoped a new treatment would address. In addition, the interview participants expressed a desire for improved and timely access to new therapies. Both interview participants reported they had been allocated to 1 of the intervention arms of the DUO-E trial. However, the blinded protocol meant this could not be confirmed. Both patients reported that the therapy they received was effective and offered manageable, minimal side effects. They also appreciated the shorter IV administration time required for their treatment relative to prior chemotherapy regimens.

Clinician input was received from 2 groups: the Gynecologic Oncology Society of Canada and the Ontario Health Gynecologic Cancer Drug Advisory Committee. Both submissions stated that the objectives of therapy include prolonging life, delaying disease progression, reducing symptoms, improving health-related quality of life, and potentially curing the disease. The current pathway of care for patients with endometrial cancer includes surgery with or without adjuvant radiation therapy, although patients with advanced disease (stage III or IV) will require further intervention. Current treatment options at this stage include hormone therapy, cytotoxic chemotherapy (usually CAR-PAC), and radiation. Both submissions cited a desire for more treatments with tolerable adverse effects that are effective at delaying progression and improving OS relative to the current standard of care (defined as cytotoxic chemotherapy with CAR-PAC). The input stated that the regimen under review would be positioned for use as a first-line treatment option for patients with advanced or recurrent endometrial cancer. This change in treatment practice is expected to lead to improved patient outcomes.

Drug plan input identified concerns relating to the estimated budget impact and the presence of confidential negotiated prices for comparator treatments. Several of these concerns were addressed in the sponsor’s model:

In addition, CDA-AMC addressed some of these concerns as follows:

CDA-AMC was unable to address the following concerns raised by the input received:

Economic Review

Economic Evaluation

Summary of Sponsor’s Economic Evaluation

Overview

The sponsor submitted an economic evaluation of durvalumab compared with existing alternatives for the treatment of adults with primary advanced or recurrent endometrial cancer. Treatment with durvalumab was considered as monotherapy for patients with dMMR cancer.1 This population of patients is aligned with the Health Canada indication and the reimbursement request.

Durvalumab is available as a solution for injection at a concentration of 50 mg/mL. It is packaged as a 2.4 mL or 10 mL single-use vial with a unit cost of $938.67 and $3,911.11 respectively. Treatment is provided in 2 phases. In the chemotherapy phrase, the recommended dose is 1,120 mg durvalumab in combination with CAR-PAC. Carboplatin is available as a single-use 10 mg/mL vial at volumes of 5 mL ($70), 15 mL ($210), 45 mL ($600), and 60 mL ($775). Paclitaxel is available as a single-use 6 mg/mL vial at volumes of 5 mL ($300), 16.7 mL ($1,197), and 50 mL ($971). Regimens which included CAR-PAC, with a recommended dose for carboplatin of area under the curve (AUC) 4 mg/mL/min to 6 mg/mL/min and 175 mg/m2 of paclitaxel every 21 days for 4 to 6 cycles.2,3 At the submitted price, the total regimen cost in the chemotherapy phase for a patient with a body surface area of 1.77 m2 and a glomerular filtration rate of 125 mL/min/1.73 m2 would be $13,996 every 21 days (durvalumab = $8,761; carboplatin = $1,195; paclitaxel = $4,040). In the maintenance phase, the recommended monotherapy dose is 1,500 mg every 4 weeks, resulting in a 28-day cost of $11,733.

Two comparators were considered in the economic evaluation: CAR-PAC and CAR-PAC plus dostarlimab. At publicly available list prices, the total cost of the CAR-PAC regimen for a patient with a body surface area of 1.77 m2 and glomerular filtration rate of 125 mL/min/1.73 m2 would be $5,235. Meanwhile, dostarlimab is available as a single-use 50 mg/mL vial at a volume of 10 mL ($10,031). In the chemotherapy phase, the recommended dose is 500 mg dostarlimab every 3 weeks in combination with CAR-PAC. In the maintenance phase, the recommended dose is 1,000 mg dostarlimab monotherapy every 6 weeks. This would cost $15,266 per 21 days (dostarlimab = $10,031; carboplatin = $1,195; paclitaxel = $4,040) in the chemotherapy phase and $10,031 per 21 days in the maintenance phase.

Modelled outcomes included life-years and QALYs. Costs were estimated from the perspective of the Canadian public health care payer. Model outputs were generated over a lifetime horizon of 37.4 years, with a cycle length of 1 month. Costs and outcomes were discounted at 1.5% annually.

Model Structure

The costs and effects for each alternative were estimated using a partitioned survival model (PSM). As illustrated in Figure 1, the model comprised 3 mutually exclusive health states: progression-free (PF), progressed disease (PD), and death. At model entry, patients were assumed to occupy the PF state and initiate therapy. In each cycle, patients could remain in their current state or transition to a different state until they entered the death state.1

Model Inputs

Data summarizing baseline characteristics for both subpopulations were obtained from the DUO-E trial.4 This was a randomized phase III trial that involved the direct comparison of durvalumab plus CAR-PAC with CAR-PAC alone. Patients were randomized to 1 of 3 arms: CAR-PAC, durvalumab plus CAR-PAC (dMMR subpopulation), and durvalumab plus olaparib plus CAR-PAC (mismatch repair proficient subpopulation).4 Baseline characteristics were assumed to be consistent with all randomized patients from the trial and included age (mean = 62.6 years; SD = 10.03), body surface area (mean = ████ m2), and weight (mean = ████ kg; SD = █████).1,4

Estimates of the relative efficacy of the comparators excluded from the DUO-E trial were obtained from the sponsor-submitted systematic review and ITC.5 This was necessary to incorporate CAR-PAC plus dostarlimab as a comparator in the economic evaluation. The ITC was conducted using 2 trials of treatments for patients in the dMMR subpopulation.4-6 These formed a connected network between CAR-PAC plus durvalumab, CAR-PAC, and CAR-PAC plus dostarlimab. An anchored matching-adjusted indirect comparison was used to estimate hazard ratios (HRs) for 2 outcomes, OS and PFS. For PFS, the sponsor estimated an HR of ████ (95% CI, ████ ██ ████) for CAR-PAC plus durvalumab relative to CAR-PAC plus dostarlimab. For OS, the sponsor estimated an HR of ████ (95% CI, ████ ██ ████) for CAR-PAC plus durvalumab relative to CAR-PAC plus dostarlimab.1,5

Direct and indirect approaches were used to estimate the treatment-specific survival probabilities needed to estimate state membership. In both subpopulations, parametric survival models were fit for time-to-treatment discontinuation (TTD), PFS, and OS. Treatment-dependent and -independent models were fit using the exponential, log-logistic, log-normal, Weibull, Gompertz, gamma, and generalized gamma distributions. In addition, the sponsor explored treatment-dependent and -independent flexible-spline models for OS and PFS. Selection of the base-case configuration was informed by visual inspection of the Kaplan-Meier curve, model fit statistics, and clinical plausibility.1

In the sponsor’s base case, PFS was predicted using the treatment-independent 2- and 1-knot flexible-spline models for CAR-PAC plus durvalumab and CAR-PAC, respectively. Predicted values for CAR-PAC plus dostarlimab were estimated indirectly by adjusting the PFS for CAR-PAC plus durvalumab using the HR estimated from the submitted ITC.1,5 Meanwhile, the base-case OS values were predicted using the treatment-independent parametric models, which followed the log-normal distribution. It was assumed there was no difference in OS between CAR-PAC plus durvalumab and CAR-PAC plus dostarlimab.1 Predicted values for TTD, which were used to inform the initial and acquisition costs for durvalumab for maintenance treatment, were assumed to follow a gamma distribution.1

To ensure that the risk of death would not fall below that of the general population, the sponsor assumed that the predicted values for OS could not fall below the corresponding mortality risk for the general population.1 Age-matched and sex-specific mortality risks were obtained from life tables published by Statistics Canada.7 In addition, the sponsor assumed that the predicted values for PFS could not exceed the corresponding OS curve.1

In addition to tracking the proportion of the cohort in each health state, the model also tracked the occurrence of adverse events (AEs). This was restricted to grade 3 and 4 AEs that occurred in at least 5% of patients from any arm of the DUO-E trial and the CAR-PAC plus dostarlimab arm of the RUBY part 1 trial.1,4,6 The identified AEs included anemia; neutropenia; decreased neutrophil, lymphocyte, or white cell counts; hypertension; pulmonary embolism; and hypokalemia.1

Health-related quality of life was captured in the model using utility values specific to every state but death. In the submitted base case, the sponsor carried forward health state utility values from a CDA-AMC reanalysis in a prior submission involving pembrolizumab for the treatment of advanced endometrial cancer.1,8 It was assumed that the PF state would have a utility value of 0.782 (95% CI, 0.769 to 0.796) and the PD state would have a utility value of 0.731 (95% CI, 0.709 to 0.754). These values were selected for the submitted base case to avoid criticism that trial-estimated utility values would underestimate the disutility associated with progressive disease.1,8 A separate scenario analysis was conducted in which health state utility values were calculated using patient preference data collected from the DUO-E trial indirectly using the EQ-5D questionnaire.1 To reflect the preferences of the general population in Canada, EQ-5D responses were converted to utilities using Canada-specific tariffs.1,9 In this scenario analysis, the health state utility values were █████ (95% CI, █████ ██ █████) and █████ (95% CI, █████ ██ █████) for the PF and PD states, respectively.1

The submission also included the option (which was applied in the base case) to adjust the utility values for age. In the absence of Canada-specific utility values, the adjustment was made using estimates reflecting the general population of the UK.1,10 The base case also included changes in utility as a result of AEs as a 1-time event in the first model cycle. The change in utility was assumed to be −0.037 for hypertension, −0.051 for pulmonary embolism, and −0.020 for all other AEs.1,11,12

Costs in the model included treatment acquisition and administration, monitoring, the management of AEs, and end-of-life care. Treatment acquisition costs were calculated from the price per unit consumed based on the recommended dosage for each alternative. The price for durvalumab represented the sponsor’s submitted price, while all other drug prices were obtained from the Ontario Drug Benefit Formulary or wholesale list prices.1,13,14 For durvalumab, a relative dose intensity (RDI) of 98.54% was assumed. Following entry to the PD state, it was assumed that patients could initiate 1 of several anticancer systemic therapies indicated for a later line of treatment. These costs were calculated as a weighted average reflecting the proportion of receiving each subsequent regimen, the time on treatment, and the corresponding acquisition costs. Treatment administration costs were applied for any therapy that required IV administration. It was assumed that the unit cost of treatment administration reflected the average IV administration cost in Canada ($149.76) estimated by Sohi et al.1,15 Monitoring costs included outpatient visits (physician and nurse), laboratory tests (liver function, complete blood count, renal function, thyroid function), and imaging (chest X-ray, CT scan).1 Unit costs for these services were obtained from the Ontario Schedule of Benefits for Physician and Laboratory Services, while the frequency of service utilization was informed by expert opinion.1,16-18 Costs associated with the management of AEs were applied as a lump sum at model entry using Canada-specific unit costs.19 End-of-life care ($11,573) was incorporated as a 1-time cost upon entry to the death state. It reflected adult palliative care estimates from 2021 to 2022, inflated to a 2024 price year.1,19

Summary of Sponsor’s Economic Evaluation Results

The base-case costs and QALYs for each alternative were generated in a Monte Carlo simulation of 1,000 iterations. All scenario analyses were simulated deterministically. Results from the deterministic and probabilistic base-case simulations were similar.

Base-Case Results

The submitted analyses were based on publicly available prices of the comparator treatments. Results from the base case of the submitted economic evaluation for each subpopulation are presented in Table 3.

CAR-PAC and CAR-PAC plus dostarlimab were on the efficiency frontier. CAR-PAC plus durvalumab was more costly and less effective (incremental costs: $231,661; incremental QALYs: −0.61) than CAR-PAC plus dostarlimab. CAR-PAC plus durvalumab had a 2.7% probability of being cost-effective at a WTP threshold of $50,000 per QALY gained. In the deterministic base case, 95.8% and 100% of the incremental QALYs for CAR-PAC plus durvalumab compared with CAR-PAC and CAR-PAC plus dostarlimab, respectively, were gained beyond the duration of observation from the DUO-E trial.

Table 3: Summary of the Sponsor’s Economic Evaluation Results

Drug

Total costs ($)

Total QALYs

ICER ($/QALY)

CAR-PAC

140,918

3.59

Reference

CAR-PAC plus dostarlimab

419,350

10.77

$38,784 vs. CAR-PAC

CAR-PAC plus durvalumab

651,011

10.16

Dominated by CAR-PAC plus dostarlimab

CAR-PAC = carboplatin and paclitaxel; ICER = incremental cost-effectiveness ratio; QALY = quality-adjusted life-year.

Source: Sponsor’s pharmacoeconomic submission.1

Additional results from the sponsor’s submitted base case are presented in Appendix 3.

Sensitivity and Scenario Analysis Results

In addition to the submitted base case, the sponsor considered 21 distinct scenario analyses. These scenarios explored alternate inputs or assumptions relating to the discount rates, drug wastage, inclusion of the diagnostic testing cost, source of the utility values, and selection of the parametric survival functions for OS, PFS, and TTD.1 While each scenario had a slight impact on the expected costs and benefits, none had a meaningful effect on the conclusion of the economic evaluation.

The submission included the ability to conduct a scenario analysis from the societal perspective. This enabled the model to consider the additional costs associated with productivity loss and caregiver costs. However, the sponsor did not conduct any scenario analyses from a perspective other than the health care payer.1

CDA-AMC Appraisal of the Sponsor’s Economic Evaluation

CDA-AMC identified several key limitations to the sponsor’s analysis that have notable implications on the economic analysis:

Additionally, the following key assumptions were made by the sponsor and appraised by CDA-AMC (refer to Table 4).

Table 4: Key Assumptions of the Submitted Economic Evaluation

Sponsor’s key assumption

CDA-AMC comment

Predicted PFS values were obtained using the treatment-independent 2- and 1-knot flexible-spline models for CAR-PAC plus durvalumab and CAR-PAC alone, respectively. In addition, predicted OS values were obtained using the treatment-independent models that followed the log-normal distribution.

Appropriate. Alternate configurations of the parametric survival models for PFS and OS did not impact the results of the economic evaluation. Each alternate configuration did influence the expected (mean) costs and the QALYs returned from the model. However, no configuration influenced the order of the alternatives in terms of QALYs, the order of alternatives in terms of cost, the composition of the efficiency frontier, or which alternatives are subject to dominance or the reason(s) they are subject to dominance.

Consideration of treatment switching following entry to the PD state.

It is inappropriate to consider the costs, but not the effects of subsequent lines of therapy. This choice introduced an assumption that the risk of death is unaffected by a patient’s disease progression status. For the conceptualized model structure, the proper consideration of treatment switching should have been the use of a Markov model to estimate state occupancy.

CAR-PAC = carboplatin and paclitaxel; CDA-AMC = Canada’s Drug Agency; OS = overall survival; PD = progressed disease; PFS = progression-free survival; QALY = quality-adjusted life-year.

CDA-AMC Reanalyses of the Economic Evaluation

Base-Case Results

CDA-AMC undertook reanalyses that addressed the key limitations within the submitted economic models, as summarized in Table 5. The CDA-AMC base case was derived by making changes in the model parameter values and assumptions, in consultation with the clinical experts. CDA-AMC was unable to address limitations related to the uncertainty in the clinical evidence identified in the CDA-AMC Clinical Review and the characterization of parameter uncertainty in the economic evaluation. Consistent with the sponsor’s base case, the costs and effects for each alternative were generated from a Monte Carlo simulation of 1,000 iterations.

Table 5: CDA-AMC Revisions to the Submitted Economic Evaluation

Stepped analysis

Sponsor’s value or assumption

CDA-AMC value or assumption

Changes to derive the CDA-AMC base case

1. Predicted values for OS

Parametric OS curve capped by general population mortality risk.

Removed. Membership in a health state was estimated using unmodified survival probabilities.

2. Age-adjusted utility values

General population utilities from the UK are interchangeable with Canada.

Age adjustment removed. Canada-specific utility values are required for the sponsor’s age adjustment.

3. RDI

Durvalumab RDI assumed to equal █████%.

RDI assumed to equal 100%.

CDA-AMC base case

1 + 2 + 3

CDA-AMC = Canada’s Drug Agency; OS = overall survival; RDI = relative dose intensity.

Results from the CDA-AMC base case are presented in Table 6. As with the sponsor’s base case, the results were generated using publicly available prices for the comparator treatments. The impact of each individual modification on the deterministic results is reported in Table 11, and the disaggregated summary of the probabilistic base case is reported in Table 12.

In the CDA-AMC base case, the efficiency frontier comprised CAR-PAC and CAR-PAC plus dostarlimab. CAR-PAC plus durvalumab did not lie on the efficiency frontier because it was dominated by CAR-PAC plus dostarlimab. This means that CAR-PAC plus durvalumab is not cost-effective because it is more costly (incremental costs: $234,585) and less effective (incremental QALYs: −0.68) than CAR-PAC plus dostarlimab. CAR-PAC plus durvalumab had a 1.8% probability of being cost-effective at a WTP threshold of $50,000 per QALY gained. In the deterministic base case, 96% and 99% of the incremental QALYs for CAR-PAC plus durvalumab compared with CAR-PAC and CAR-PAC plus dostarlimab were gained beyond the duration of observation from the DUO-E trial.

Table 6: Summary of the CDA-AMC Reanalysis Results

Drug

Total costs ($)

Total QALYs

ICER ($/QALY)

Sponsor base case (probabilistic)

CAR-PAC

140,918

3.59

Reference

CAR-PAC plus dostarlimab

419,350

10.77

$38,784 vs. CAR-PAC

CAR-PAC plus durvalumab

651,011

10.16

Dominated by CAR-PAC plus dostarlimab

CDA-AMC base case (probabilistic)

CAR-PAC

140,935

3.57

Reference

CAR-PAC plus dostarlimab

423,917

12.07

33,301 vs. CAR-PAC

CAR-PAC plus durvalumab

658,502

11.39

Dominated by CAR-PAC plus dostarlimab

CAR-PAC = carboplatin and paclitaxel; CDA-AMC = Canada’s Drug Agency; ICER = incremental cost-effectiveness ratio; QALY = quality-adjusted life-year.

Scenario Analysis Results

CDA-AMC undertook price reduction analyses based on the sponsor’s results and the CDA-AMC base case. A price reduction of 47% (durvalumab price of $488.11 per 2.4 mL vial and $2,033.78 per 10 mL vial; $4,556 per 21-day initiation cycle and $6,101 per 28-day maintenance cycle) would be needed for CAR-PAC plus durvalumab to lie on the cost-effectiveness frontier. The ICER at that price reduction would be $33,074 per QALY gained compared with CAR-PAC.

Table 7: CDA-AMC Price Reduction Analyses

Analysis

Unit drug cost ($)

ICERs for CAR-PAC plus durvalumab ($/QALY)

Price reduction

2.4 mL vial; 10 mL vial

Sponsor base case

CDA-AMC base case

No price reduction

938.67; 3,911.11

Dominated by CAR-PAC dostarlimab

Dominated by CAR-PAC plus dostarlimab

10%

844.80; 3,519.99

Dominated

Dominated

20%

750.94; 3,128.89

Dominated

Dominated

30%

657.07; 2,737.78

Dominated

Dominated

40%

563.20; 2,346.67

Dominated

Dominated

47%

497.50; 2,072.89

Dominated

33,074 vs. CAR-PAC

48%

488.11; 2,033.78

37,977 vs. CAR-PAC

32,369 vs. CAR-PAC

50%

469.34; 1,955.56

36,324 vs. CAR-PAC

30,960 vs. CAR-PAC

60%

375.47; 1,564.44

28,059 vs. CAR-PAC

23,913 vs. CAR-PAC

70%

281.60; 1,173.33

19,795 vs. CAR-PAC

16,866 vs. CAR-PAC

80%

187.73; 782.22

11,531 vs. CAR-PAC

9,819 vs. CAR-PAC

90%

93.87; 391.11

3,266 vs. CAR-PAC

2,772 vs. CAR-PAC

CAR-PAC = carboplatin and paclitaxel; CDA-AMC = Canada’s Drug Agency; ICER = incremental cost-effectiveness ratio; QALY = quality-adjusted life-year; vs. = versus.

Issues for Consideration

Overall Conclusions

The CDA-AMC Clinical Review of the DUO-E trial concluded with low certainty that CAR-PAC plus durvalumab is more effective than CAR-PAC alone in terms of OS and PFS for the treatment of adult patients with primary advanced or recurrent dMMR endometrial cancer. A definitive conclusion could not be reached for either outcome in the ITC that was used to inform the relative effectiveness of CAR-PAC plus durvalumab and CAR-PAC plus dostarlimab in the submitted model. This was attributed to the imprecision of the relative effect estimates as well as concerns relating to the sample size and power of the analysis. These limitations in the comparative clinical evidence translate to uncertainty surrounding the estimated cost-effectiveness of CAR-PAC plus durvalumab relative to other comparators.

CDA-AMC identified several additional limitations with the sponsor’s economic evaluation. These included improper methods to calculate membership in a health state, the influence of RDI on treatment acquisition costs, the omission of a decline in effectiveness over time, the improper characterization of uncertainty, and inappropriate methods to calculate age-adjusted utility values. CDA-AMC attempted to address some of these limitations through reanalysis. In the CDA-AMC base case, this involved removing the cap on OS, removing the age-adjusted utility values, and setting the RDI for durvalumab to 100%.

In the CDA-AMC base case, CAR-PAC plus durvalumab was more costly (incremental costs: $517,567) and more effective (incremental QALYs: 7.82) than CAR-PAC. However, CAR-PAC plus durvalumab was dominated (incremental costs: $234,585; incremental QALYs: −0.68) by CAR-PAC plus dostarlimab. CAR-PAC plus durvalumab was not cost-effective at any possible WTP threshold. There was a 1.8% probability of CAR-PAC plus durvalumab being cost-effective at a WTP threshold of $50,000 per QALY gained.

In the CDA-AMC base case, durvalumab was no longer dominated by CAR-PAC plus dostarlimab at a 47% reduction in the price of durvalumab. At this price reduction, CAR-PAC plus durvalumab was associated with an ICER of $33,074 per QALY gained. The cost-effectiveness of CAR-PAC plus durvalumab and the price reduction required to bring CAR-PAC plus durvalumab onto the cost-effectiveness frontier are sensitive to the acquisition cost of durvalumab, dostarlimab, carboplatin, and paclitaxel. All of these drugs have negotiated prices that are likely lower than the publicly available list prices used in the CDA-AMC base case.

References

1.AstraZeneca Canada Inc. Pharmacoeconomic evaluation [internal sponsor's report]. In: Drug Reimbursement Review sponsor submission: Durvalumab for endometrial cancer - dMMR, 120mg/2.4mL and 500 mg/10mL, intravenous injection. October 16, 2024.

2.Cancer Care Ontario. CRBPPACL Monograph. https://www.cancercareontario.ca/en/drugformulary/regimens/monograph/45981 [sponsor submitted reference]

3.AstraZeneca Inc. Imfinzi (durvalumab): concentrate for solution for infusion, 50 mg / mL, Intravenous [product monograph]. 2024.

4.AstraZeneca Inc. Clinical Study Report: NCT04269200. A Randomized, Multicentre, Double-blind, Placebo-controlled, Phase III Study of First-line Carboplatin and Paclitaxel in Combination with Durvalumab, Followed by Maintenance Durvalumab with or without Olaparib in Patients with Newly Diagnosed Advanced or Recurrent Endometrial Cancer [internal sponsor's report]. 2023.

5.AstraZeneca Inc. Indirect treatment comparison of durvalumab plus chemotherapy versus dostarlimab plus chemotherapy in MMR-deficient and/or MSI-H primary advanced or recurrent endometrial cancer [internal sponsor's report]. In: Drug Reimbursement Review sponsor submission: Duravalumab for endometrial cancer - dMMR, 120mg/2.4mL and 500 mg/10mL, intravenous injection. October 1, 2024.

6.Mirza MR, Sharma S, Herrstedt J, et al. 740MO Dostarlimab+ chemotherapy for the treatment of primary advanced or recurrent endometrial cancer (pA/rEC): Analysis of progression free survival (PFS) and overall survival (OS) outcomes by molecular classification in the ENGOT-EN6-NSGO/GOG-3031/RUBY trial. Ann Oncol. 2023;34:S507. doi: 10.1016/j.annonc.2023.09.1919

7.Statistics Canada. Table: 13-10-0114-01. Life expectancy and other elements of the life table, Canada, all provinces except Prince Edward Island. 2023. Accessed November 6, 2024. https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1310011401

8.Canada's Drug Agency. Pembrolizumab for advanced endometrial cancer. 2023. https://www.cda-amc.ca/pembrolizumab-8 [sponsor submitted reference]

9.Xie F, Pullenayegum E, Gaebel K, et al. A time trade-off-derived value set of the EQ-5D-5L for Canada. Med Care. 2016;54(1):98-105. doi: 10.1097/MLR.0000000000000447 PubMed

10.Alava MH, Pudney S, Wailoo A. Estimating EQ-5D by age and sex for the UK. 2022. NICE DSU Report. www.nicedsu.org.uk. [sponsor submitted reference]

11.Sullivan PW, Slejko JF, Sculpher MJ, Ghushchyan V. Catalogue of EQ-5D scores for the United Kingdom. Med Decis Making. 2011;31(6):800-804. doi: 10.1177/0272989X11401031 PubMed

12.National Institute for Health Clinical Excellence. Necitumumab for untreated advanced or metastatic squamous non-small-cell lung cancer [TA411]. 2016. Accessed March 2024. https://www.nice.org.uk/guidance/ta411 [sponsor submitted reference]

13.Ontario Ministry of Health. Ontario drug benefit formulary/comparative drug index. 2024. Accessed November 6, 2024. https://www.formulary.health.gov.on.ca/formulary/

14.IQVIA. DeltaPA. 2024. Accessed November 6, 2024. https://www.iqvia.com/

15.Sohi GK, Levy J, Delibasic V, et al. The cost of chemotherapy administration: A systematic review and meta-analysis. American Society of Clinical Oncology; 2020 [sponsor submitted reference].

16.Government of Ontario. Schedule of Physician Benefits. 2024. https://www.ontario.ca/files/2024-08/moh-schedule-benefit-2024-08-30.pdf [sponsor submitted reference]

17.Government of Ontario. Schedule of Benefits for Laboratory Services. 2024. https://www.ontario.ca/files/2024-01/moh-ohip-schedule-of-benefits-laboratory-services-2024-01-24.pdf [sponsor submitted reference]

18.AstraZeneca. Canadian KOL Survey [data on file]. 2024 [sponsor submitted reference].

19.Canadian Institute for Health Information. Patient Cost Estimator. 2024. https://www.cihi.ca/en/patient-cost-estimator [sponsor submitted reference]

20.Woods B, Sideris E, Palmer S, Latimer N, Soares M. Partitioned survival analysis for decision modelling in health care: a critical review. Decision Support Unit, ScHARR, University of Sheffield; 2017. Accessed October 17, 2024. http://nicedsu.org.uk/wp-content/uploads/2017/06/Partitioned-Survival-Analysis-final-report.pdf

21.Calvert AH, Newell DR, Gumbrell LA, et al. Carboplatin dosage: prospective evaluation of a simple formula based on renal function. J Clin Oncol. 1989;7(11):1748-1756. PubMed

22.AstraZeneca Canada Inc. Budget Impact Analysis [internal sponsor's report]. In: Drug Reimbursement Review sponsor submission: Durvalumab, 120mg/2.4mL and 500 mg/10mL and intravenous. October 16, 2024.

23.Canada's Drug Agency. Dostarlimab Submission for dMMR EC. 2024. https://www.cda-amc.ca/sites/default/files/DRR/2024/PC0325_Combined_Report.pdf [sponsor submitted reference]

24.Di Dio C, Bogani G, Di Donato V, et al. The role of immunotherapy in advanced and recurrent MMR deficient and proficient endometrial carcinoma. Gynecol Oncol. 2023;169:27-33. doi: 10.1016/j.ygyno.2022.11.031 PubMed

25.Cortes-Ciriano I, Lee S, Park WY, Kim TM, Park PJ. A molecular portrait of microsatellite instability across multiple cancers. Nat Commun. 2017;8:15180. doi: 10.1038/ncomms15180 PubMed

26.Evrard C, Alexandre J. Predictive and Prognostic Value of Microsatellite Instability in Gynecologic Cancer (Endometrial and Ovarian). Cancers (Basel). 2021;13(10). doi: 10.3390/cancers13102434 PubMed

27.Statistics Canada. Table 17-10-0005-01 Population estimates on July 1, by age and gender. 2024. https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1710000501 [sponsor submitted reference]

28.Brenner DR, Gillis J, Demers AA, et al. Projected estimates of cancer in Canada in 2024. CMAJ. 2024;196(18):E615-E623. doi: 10.1503/cmaj.240095 PubMed

29.Cancer Care Ontario. Ontario Cancer Facts. 2019. https://www.cancercareontario.ca/en/cancer-facts/endometrial-cancer-starting-rise-younger-women-ontario [sponsor submitted reference]

30.Government of Canada. Canadian Cancer Data Tool. 2021. https://health-infobase.canada.ca/ccdt/age-distribution?index=8429 [sponsor submitted reference]

31.Canadian Cancer Society. Cancerous tumours of the uterus. 2024. https://cancer.ca/en/cancer-information/cancer-types/uterine/what-is-uterine-cancer/cancerous-tumours [sponsor submitted reference]

32.Martins D, O’Sullivan DE, Boyne DJ, et al. Understanding characteristics, treatment patterns, and clinical outcomes for individuals with advanced or recurrent endometrial cancer in Alberta, Canada: a retrospective, population-based cohort study. Current Oncology. 2023;30(2):2277-2289. doi: 10.1200/JCO.2022.40.16_suppl.e17624 PubMed

33.Huijgens ANJ, Mertens HJMM. Factors predicting recurrent endometrial cancer. Facts Views Vis Obgyn. 2013;5(3):179-186. PubMed

34.Rutten H, Verhoef C, van Weelden WJ, et al. Recurrent Endometrial Cancer: Local and Systemic Treatment Options. Cancers (Basel). 2021;13(24). doi: 10.3390/cancers13246275 PubMed

35.Cancer Care Ontario. Systemic Therapy for Advanced or Recurrent Endometrial Cancer and Advanced or Recurrent Uterine Papillary Serous Carcinoma. 2019. https://www.cancercareontario.ca/en/guidelines-advice/types-of-cancer/501 [sponsor submitted reference]

36.IQVIA. DeltaPA Canadian Drug Pricing. 2024. https://www.iqvia.com/locations/canada/library/fact-sheets/iqvia-deltapa [sponsor submitted reference]

37.Peterse EFP, Naber SK, Daly C, et al. Cost-effectiveness of Active Identification and Subsequent Colonoscopy Surveillance of Lynch Syndrome Cases. Clin Gastroenterol Hepatol. 2020;18(12):2760-2767 e12. doi: 10.1016/j.cgh.2019.10.021 PubMed

Appendix 1: Cost Comparison Table

Please note that this appendix has not been copy-edited.

The comparators presented in the following table have been deemed to be appropriate based on feedback from clinical expert(s). Comparators may be recommended (appropriate) practice or actual practice. Existing Product Listing Agreements are not reflected in the table and as such, the table may not represent the actual costs to public drug plans.

Table 8: CDA-AMC Cost Comparison Table for Advanced or Recurrent dMMR Endometrial Cancer

Treatment

Strength or concentration

Form

Price

Recommended dosage

Daily

cost ($)

21-day

cost ($)

Carboplatin

10 mg/mL

5 mL vial

15 mL vial

45 mL vial

60 mL vial

70.0000

210.0000

600.0000

775.0020

AUC 5 to 6 on day 1 for 3, 21-day cycles

$46.90 to

$56.90

$985 to

$1,195

Paclitaxel

6 mg/mL

5 mL vial

16.7 mL vial

25 mL vial

50 mL vial

300.0000

1,196.8000

$1,870.0000

$3,740.0000

175 to 200 mg/m2 on day 1 for 3, 21-day cycles

$174.61 to

$206.67

$3,667 to

$4,340

Durvalumab

(Imfinzi)

50 mg/mL

2.4 mL vial

10 mL vial

938.6700

3,911.1100

1,120 mg every 21 days for 4 to 6 cycles

Maintenance: 1,500 mg every 28-days as monotherapy

$417.19

$419.05

$8,761

$8,800

dMMR subpopulation: Carboplatin-paclitaxel plus durvalumab

$638.70 to

$680.76

$13,413 to

$14,296

Durvalumab (maintenance)a

$419.05

$8,800

Carboplatin-paclitaxel

Carboplatin

10 mg/mL

5 mL vial

15 mL vial

45 mL vial

60 mL vial

70.0000

210.0000

599.9850

775.0020

AUC 5 to 6 on day 1 for 3, 21-day cyclesa

$46.90 to

$56.90

$985 to

$1,195

Paclitaxel

6 mg/mL

5 mL vial

16.7 mL vial

25 mL vial

50 mL vial

300.0000

1,196.8000

$1,870.0000

$3,740.0000

175 to 200 mg/m2 on day 1 for 3, 21-day cycles

$174.61 to

$206.67

$3,667 to

$4,340

Carboplatin-paclitaxel

$221.51 to

$263.57

$4,652 to

$5,535

Carboplatin-paclitaxel plus dostarlimab

Carboplatin

10 mg/mL

5 mL vial

15 mL vial

45 mL vial

60 mL vial

70.0000

210.0000

599.9850

775.0020

AUC 5 to 6 on day 1 for 3, 21-day cyclesb

$46.90 to

$56.90

$985 to
$1,195

Paclitaxel

6 mg/mL

5 mL vial

16.7 mL vial

25 mL vial

50 mL vial

300.0000

1,196.8000

$1,870.0000

$3,740.0000

175 to 200 mg/m2 on day 1 for 3 21-day cycles

$174.61 to

$206.67

$3,667 to

$4,340

Dostarlimab

(Jemperli)

50 mg/mL

10 mL vial

10,031.0800

500 mg on day 1 for 6, 21-day cycles

Maintenance: 1,000 mg every 6 weeks thereafter.

$477.67

$477.67

$10,031

$10,031

Carboplatin-Paclitaxel plus dostarlimab

$699.18 to

$741.24

$14,683 to

$15,566

Dostarlimab (maintenance)

$477.67

$10,031

AUC = area under the curve; CDA-AMC = Canada’s Drug Agency; dMMR = mismatch repair deficient; pMMR = mismatch repair proficient.

Note: All prices are IQVIA DeltaPA wholesale list prices (accessed November 2024), unless otherwise indicated, and do not include dispensing fees.14 Costs were calculated assuming a hypothetical patient weighing 73.8 kg with a body surface area of 1.77 m2 and a glomerular filtration rate of 125.

Follow wastage guidance in the CDA-AMC process document.

aThe maintenance doses in the table have been standardized to a 21-day cycle. The 28-day cost of durvalumab is $11,733.

bThe recommended dose is calculated using a Calvert formula: Dose (mg) = Target AUC × (glomerular filtration rate + 25).21

Appendix 2: Submission Quality

Please note that this appendix has not been copy-edited.

Table 9: Submission Quality

Description

Yes or no

Comments

Population is relevant, with no critical intervention missing, and no relevant outcome missing

Yes

No comment.

Model has been adequately programmed and has sufficient face validity

Yes

No comment.

Model structure is adequate for decision problem

Yes

No comment.

Data incorporation into the model has been done adequately (e.g., parameters for probabilistic analysis)

No

Refer to limitations relating to the: improper calculation of state membership, influence of RDI on drug acquisition costs, and methods for the age adjustment of health state utility values.

Parameter and structural uncertainty were adequately assessed; analyses were adequate to inform the decision problem

No

Refer to limitation relating to the improper characterization of parameter uncertainty.

The submission was well organized and complete; the information was easy to locate (clear and transparent reporting; technical documentation available in enough details)

Yes

No comment.

RDI = relative dose intensity.

Appendix 3: Additional Information on the Submitted Economic Evaluation

Please note that this appendix has not been copy-edited.

Figure 1: Model Structure

A model with 3 states: Progression Free (on and off treatment), Progressed Disease, and Death. Simulated patients can move from the Progression Free state to the Progressed Disease state or to the Death state. Patients in the Progressed Disease state can move to the Death state. Patients in the Death state remain there.

Source: Sponsor’s pharmacoeconomic submission.1

Detailed Results of the Sponsor’s Base Case

Table 10: Disaggregated Summary of the Sponsor’s Economic Evaluation Results

Parameter

CAR-PAC plus durvalumab

CAR-PAC plus dostarlimab

CAR-PAC

Discounted LYs

Total

14.13

14.99

4.83

By health state or data source

   Progression-free

8.41

9.14

3.03

   Progressed disease

5.72

5.84

1.80

Discounted QALYs

Total

10.16

10.77

3.59

By health state or data source

   Progression-free

6.37

6.87

2.34

   Progressed disease

3.80

3.90

1.25

   AE disutility

−0.0034

−0.0048

−0.0029

Discounted costs ($)

Total

651,011

419,350

140,918

Acquisition

578,355

347,410

27,290

Administration

8,999

4,407

1,624

Disease management (progression-free)

29,297

31,721

10,207

Disease management (progressed disease)

19,211

19,684

6,041

Subsequent therapy

1,919

1,886

80,921

AEs

4,168

5,338

4,053

Terminal care

9,062

8,905

10,781

AE = adverse event; CAR = carboplatin; dMMR = mismatch repair deficient; PAC = paclitaxel.

Source: Sponsor’s pharmacoeconomic submission.1

Appendix 4: Additional Details on the CDA-AMC Reanalyses and Sensitivity Analyses of the Economic Evaluation

Please note that this appendix has not been copy-edited.

Detailed Results of the CDA-AMC Base Case

Table 11: Summary of the Stepped Analysis of the CDA-AMC Base-Case Results

Stepped analysis

Drug

Total costs ($)

Total QALYs

ICER ($/QALY)

Sponsor base case

CAR-PAC

139,204

3.04

Reference

CAR-PAC plus dostarlimab

426,787

10.23

39,991

Dominated treatments

CAR-PAC plus durvalumab

642,246

10.21

Dominated by CAR-PAC plus dostarlimab

CDA-AMC reanalysis 1

CAR-PAC

139,226

3.06

Reference

CAR-PAC plus dostarlimab

430,858

11.40

34,962

Dominated treatments

CAR-PAC plus durvalumab

646,317

11.37

Dominated by CAR-PAC plus dostarlimab

CDA-AMC reanalysis 2

CAR-PAC

139,204

3.14

Reference

CAR-PAC plus dostarlimab

426,787

11.03

36,443

Dominated treatments

CAR-PAC plus durvalumab

642,246

11.00

Dominated by CAR-PAC plus dostarlimab

CDA-AMC reanalysis 3

CAR-PAC

139,204

3.04

Reference

CAR-PAC plus dostarlimab

426,787

10.23

39,991

Dominated treatments

CAR-PAC plus durvalumab

650,307

10.21

Dominated by CAR-PAC plus dostarlimab

CDA-AMC base case (deterministic)

1 + 2 + 3

CAR-PAC

139,226

3.06

Reference

CAR-PAC plus dostarlimab

430,858

11.40

34,962

Dominated treatments

CAR-PAC plus durvalumab

654,378

11.37

Dominated by CAR-PAC plus dostarlimab

CDA-AMC base case (probabilistic)

1 + 2 + 3

CAR-PAC

140,935

3.57

Reference

CAR-PAC plus dostarlimab

423,917

12.07

33,301

Dominated treatments

CAR-PAC plus durvalumab

658,502

11.39

Dominated by CAR-PAC plus dostarlimab

CAR = carboplatin; CDA-AMC = Canada’s Drug Agency; dMMR = mismatch repair proficient; ICER = incremental cost-effectiveness ratio; PAC = paclitaxel; QALY = quality-adjusted life-year.

Note: The CDA-AMC reanalysis is based on publicly available prices of the comparator treatments. The results of all steps are presented deterministically unless otherwise indicated, while the cumulative CDA-AMC base case is always presented both deterministically and probabilistically.

Table 12: Disaggregated Summary of CDA-AMC Economic Evaluation Results

Parameter

CAR-PAC plus durvalumab

CAR-PAC plus dostarlimab

CAR-PAC

Discounted LYs

Total

16.23

17.16

4.80

By health state or data source

   Progression-free

8.49

9.22

2.96

   Progressed disease

7.74

7.94

1.84

Discounted QALYs

Total

12.33

13.04

3.78

By health state or data source

   Progression-free

6.43

6.96

2.30

   Progressed disease

4.97

5.11

1.18

   AE Disutility

−0.0030

−0.0048

−0.0029

Discounted costs ($)

Total

658,502

423,917

140,935

Acquisition

581,634

347,203

27,289

Administration

8,904

4,394

1,621

Disease management (progression-free)

29,735

32,252

10,010

Disease management (progressed disease)

25,971

26,701

6,185

Subsequent therapy

1,894

1,874

81,042

AEs

4,031

5,338

4,034

Terminal care

6,333

6,155

10,754

AE = adverse event; CAR-PAC = carboplatin and paclitaxel; CDA-AMC = Canada’s Drug Agency; dMMR = mismatch repair deficient; LY = life-year; QALY = quality-adjusted life-year.

Appendix 5: Submitted Budget Impact Analysis and CDA-AMC Appraisal

Please note that this appendix has not been copy-edited.

Table 14: Summary of Key Take-Aways

Key take-aways of the budget impact analysis

  • CDA-AMC identified the following key limitations from the sponsor’s analysis:

    • Uncertainty in the proportion initiating subsequent therapy

  • No reanalysis was performed. CDA-AMC conducted 3 scenario analyses to assess the impact of changes to subsequent therapy assumptions. The first scenario explored how initiating subsequent therapy for 70% of patients in the durvalumab and dostarlimab arms and 80% in the CAR-PAC arm would affect the total budget impact. The second scenario examined the effect of increasing the subsequent market share for doxorubicin to 30%. The third scenario assessed the impact of a 47% price reduction in the value of durvalumab on the budget impact.

  • In the submitted base case, the budget impact of reimbursing durvalumab with carboplatin and paclitaxel among patients with dMMR cancer was estimated to be $5,782,905 in year 1, $10,330,546 in year 2, and $11,916,217 in year 3. The 3-year net budget impact was estimated to be $28,029,667. the CDA-AMC scenario analyses demonstrated that an increase in the proportion of patients initiating subsequent treatment and a reduction in the unit price of durvalumab resulted in a decreased budget impact.

CAR-PAC = carboplatin and paclitaxel; CDA-AMC = Canada’s Drug Agency; dMMR = mismatch repair deficient.

Summary of Sponsor’s Budget Impact Analysis

The sponsor submitted a BIA estimating the incremental budget impact of reimbursing durvalumab (Imfinzi) for patients with primary advanced or recurrent endometrial cancer who are eligible for systemic therapy.3 The analysis evaluated the introduction of durvalumab in combination with CAR-PAC, followed by durvalumab monotherapy for the dMMR population.3 The BIA was conducted from the perspective of Canadian public drug plans (excluding Quebec) over a 3-year time horizon.22 Key inputs to the BIA are documented in Table 17.

To estimate the eligible population, the sponsor used an epidemiological approach incorporating Canadian data, clinical trial evidence, and expert input.22 The incidence of uterine cancer was derived from national sources, with annual growth rates applied over the time horizon. Among the uterine endometrial cancer cases, the sponsor estimated that 27.5% were dMMR.23-26 The total eligible population was calculated after accounting for diagnostic testing and the proportion of patients initiating systemic therapy. The BIA incorporated the costs of primary and subsequent treatments but excluded diagnostic testing and administration costs from the base case. The sponsor projected durvalumab uptake to reach ███ by year 3.22 The model incorporated TTD and PFS estimates primarily derived from clinical trial data, specifically the DUO-E study, with median values calculated for each treatment arm. Among patients with dMMR cancer, the median TTD was 21.85 months for durvalumab in combination with CAR-PAC, followed by durvalumab maintenance, compared with 4.14 months for CAR-PAC alone. The corresponding PFS was 40.0 months for the durvalumab arm versus 9.0 months for the patients on carboplatin and paclitaxel, patients in the dostarlimab with CAR-PAC had the longest PFS of 45 months.1 The budget impact model assumed that costs were spread annually to reflect expenditure from the public health payer perspective.

Key assumptions:

Table 15: Summary of Key Model Parameters

Parameter

Sponsor’s estimate

(reported as year 1 / year 2 / year 3, if appropriate)

Target population

Canadian adult female population

16,134,760 / 16,690,168 / 17,265,18127

Annual % growth in the female population

3.4%27

Incidence rate of uterine cancer

36.7 / 100,00028

Uterine cancer growth rate

2.06%29,30

Proportion with endometrial cancer

95%31

Proportion with advanced EC

19.2%18,23

Proportion of advanced dMMR

27.5%23-26

Proportion of advanced dMMR receiving 1L therapy

75.2%32

Proportion with recurrent stage I or II EC

6.5%33-35

Proportion of recurrent stage I or II that is dMMR

21.5%23,24

Proportion of dMMR recurrent stage I or II receiving 1L therapy

75.2%32

Number of patients eligible for drug under review

288 / 304 / 321

Market uptake (3 years)

Uptake (reference scenario)

    Carboplatin + paclitaxel

    Dostarlimab + carboplatin + paclitaxel

███ / ███ / ███22

███ / ███ / ███22

Uptake (new drug scenario)

    Durvalumab + carboplatin + paclitaxel

    Carboplatin + paclitaxel

    Dostarlimab + carboplatin + paclitaxel

███ / ███ / ███22

███ / ███ / ███22

███ / ███ / ███22

Cost of treatment (per patient, per cycle)

Durvalumab + carboplatin + paclitaxel

Carboplatin + paclitaxel

Dostarlimab + carboplatin + paclitaxel

$12,850.8936

$4,090.0036

$14,016.0836

Cost of diagnostic testing (per patient)

Immunohistochemistry test unit cost

$177.2437

Proportion of patients in each arm advancing to 2L therapy

Durvalumab + CP arm

CP arm

Dostarlimab + CP arm

39.5%18

49.4%18

39.5%18

Proportion of subsequent treatment (market share)

Carboplatin

Cisplatin

Doxorubicin

Paclitaxel

Durvalumab + CP arm

███18

███18

███18

███18

Pembrolizumab

CP arm

████18

Carboplatin

Cisplatin

Doxorubicin

Paclitaxel

Dostarlimab + CP arm

███18

███18

███18

███18

1L = first line; CP = carboplatin + paclitaxel; dMMR = deficient mismatch repair; EC = endometrial cancer.

Summary of the Sponsor’s BIA Results

The cumulative net budget impact of funding durvalumab plus CAR-PAC for patients with primary advanced or recurrent dMMR endometrial cancer, accounting for subsequent therapy costs was $5,782,905 in year 1, $10,330,546 in year 2, and $11,916,217 in year 3, for a 3-year net budget impact of $28,029,667.

CDA-AMC Appraisal of the Sponsor’s BIA

CDA-AMC identified several key limitations to the sponsor’s analysis that have notable implications on the results of the BIA:

CDA-AMC Reanalyses of the BIA

In the absence of more reliable estimates to inform the parameters of the BIA, the sponsor’s base case was maintained. CDA-AMC anticipates that the budget impact of durvalumab will be sensitive to inputs and assumptions related to the proportion of patients initiating subsequent therapy and the market share of doxorubicin. This was reflected in a scenario analysis conducted by CDA-AMC, which examined the impact of increasing both the proportion of patients initiating subsequent treatment and doxorubicin’s market share. In this scenario, it was assumed that 70% of patients in the durvalumab and dostarlimab arms and 80% of patients in the CAR-PAC arm would initiate subsequent treatment, with doxorubicin capturing 30% of the subsequent treatment market share.

Table 16: CDA-AMC Revisions to the Submitted Budget Impact Analysis

Stepped analysis

Sponsor’s value or assumption

CDA-AMC value or assumption

1. Proportion initiating subsequent therapy

████% (durvalumab + CP arm)

████% (CP arm)

70% (durvalumab + CP arm)

80% (CP arm)

2. The market share of doxorubicin

15%

30%

3. Durvalumab unit price

$938

$3,911

47% price reduction ($497)

47% price reduction ($2,073)

CDA-AMC = Canada’s Drug Agency; CP = carboplatin + paclitaxel.

The results of the CDA-AMC stepwise reanalysis are presented in summary format in Table 17 and a more detailed breakdown is presented in Table 18.

Table 17: Summary of the CDA-AMC Reanalyses of the Budget Impact Analysis

Stepped analysis

Three-year total ($)

Submitted base case

$28,029,667

CDA-AMC scenario 1: Proportion initiating subsequent therapy

$21,065,803

CDA-AMC scenario 2: Doxorubicin market share

$28,029,667

CDA-AMC scenario 3: 47% price reduction

$6,077,097

BIA = budget impact analysis; CDA-AMC = Canada’s Drug Agency.

Note: All reanalyses are based on IQVIA DeltaPA wholesale list prices (accessed November 2024), unless otherwise indicated.

CDA-AMC conducted the following scenario analyses to address remaining uncertainty, using the CDA-AMC base case (results are provided in Table 18:

  1. The proportion initiating subsequent treatment was assumed to be 70% for both durvalumab and dostarlimab and 80% among the CAR-PAC arm.

  2. Increased the proportion of patients receiving doxorubicin hydrochloride to 30% by reallocating 15% equally from the other comparators.

  3. Assuming that the price of durvalumab is reduced by 47% (CDA-AMC estimated price reduction from the cost-utility analysis).

Table 18: Detailed Breakdown of the CDA-AMC Reanalyses of the BIA

Stepped analysis

Scenario

Year 0 (current situation) ($)

Year 1 ($)

Year 2 ($)

Year 3 ($)

Three-year total ($)

Submitted base case

Reference

20,368,090

47,831,448

67,390,760

83,395,764

218,986,062

New drug

20,368,090

53,614,353

77,721,306

95,311,981

247,015,729

Budget impact

0

5,782,905

10,330,546

11,916,217

28,029,667

CDA-AMC scenario analysis: 47% price reduction

Reference

20,368,090

47,831,448

67,390,760

83,395,764

218,986,062

New drug

20,368,090

50,508,250

69,916,088

84,270,730

225,063,159

Budget impact

0

2,676,802

2,525,328

874,966

6,077,097

CDA-AMC scenario analysis: 70% and 80% initiating subsequent therapy for durvalumab and CAR-PAC, respectively

Reference

22,952,368

57,772,314

81,557,554

100,011,173

262,293,408

New drug

22,952,368

63,043,676

89,639,073

107,724,094

283,359,211

Budget impact

0

5,271,362

8,081,520

7,712,922

21,065,803

CDA-AMC scenario analysis: 30% uptake for doxorubicin

Reference

20,368,090

47,831,448

67,390,760

83,395,764

218,986,062

New drug

20,368,090

53,614,353

77,721,306

95,311,981

247,015,729

Budget impact

0

5,782,905

10,330,546

11,916,217

28,029,667

BIA = budget impact analysis; CAR-PAC = carboplatin and paclitaxel; CDA-AMC = Canada’s Drug Agency.

Note: All reanalyses are based on IQVIA DeltaPA wholesale list prices (accessed November 2024), unless otherwise indicated.