Estimating the Impact of Adjuvant Treatment With Nivolumab on Long-Term Survivorship Rates Compared With Surveillance in Muscle Invasive Urothelial Carcinoma: Mixture Cure Modeling Analyses of Disease-Free Survival From the Phase 3 CheckMate 274 Trial
Daniel M. Geynisman , Kateryna Chepynoga , Georgia Yates , Ashley Tate , Murat Kurt , Miraj Y. Patel , Siguroli Teitsson , Shreya Mitra , Ronac Mamtani
{"title":"Estimating the Impact of Adjuvant Treatment With Nivolumab on Long-Term Survivorship Rates Compared With Surveillance in Muscle Invasive Urothelial Carcinoma: Mixture Cure Modeling Analyses of Disease-Free Survival From the Phase 3 CheckMate 274 Trial","authors":"Daniel M. Geynisman , Kateryna Chepynoga , Georgia Yates , Ashley Tate , Murat Kurt , Miraj Y. Patel , Siguroli Teitsson , Shreya Mitra , Ronac Mamtani","doi":"10.1016/j.clgc.2025.102335","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Curative potential of adjuvant nivolumab was compared with radical resection only among patients at high risk of recurrence following radical surgery of muscle-invasive urothelial carcinoma (MIUC).</div></div><div><h3>Methods</h3><div>Using patient-level disease-free survival (DFS) data from CheckMate 274 (<em>n</em> = 709, minimum follow-up, 31.6 months), we applied mixture cure models (MCMs) to the adjuvant nivolumab (NIVO) and placebo (PBO) arms of the intention-to-treat (ITT) population and tumor PD-L1 expression ≥1% subpopulation. DFS was derived for hypothetical “cured” and “uncured” subgroups. DFS for the cured subgroup was estimated using WHO background mortality rates matched to trial demographic characteristics. Uncured DFS was modeled using parametric distributions and characterized with cure fractions by maximum-likelihood methods. Model selection considered clinical plausibility, visual comparisons of model fit, and goodness-of-fit statistics.</div></div><div><h3>Results</h3><div>MCM analysis demonstrated that almost all uncured patients experience recurrence or death within 5 years. Clinically plausible models estimated higher cure fractions in tumor PD-L1 ≥1% subgroup for patients treated with NIVO (PD-L1 ≥1%: 59.1%-61.0% vs ITT: 43.1%-45.1%), and highly similar cure fractions for patients receiving PBO irrespective of their PD-L1 expression (PD-L1 ≥1%: 35.9%-36.4% vs ITT: 36.4%-37.0%). Projected 10-year mean DFS was 4.38 to 4.47 years for NIVO and 3.61 to 3.64 years for PBO in the ITT population, and 5.54 to 5.65 years for NIVO and 3.54 to 3.57 years for PBO in the PD-L1 ≥1% subpopulation.</div></div><div><h3>Conclusions</h3><div>Adjuvant NIVO for high-risk MIUC was associated with a higher cure fraction than PBO in the ITT and PD-L1 ≥1% populations. Results align with reported survival from the trial and highlight clinical outcomes of interest. CheckMate 274 ClinicalTrials.gov identifier, NCT02632409.</div></div>","PeriodicalId":10380,"journal":{"name":"Clinical genitourinary cancer","volume":"23 3","pages":"Article 102335"},"PeriodicalIF":2.7000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical genitourinary cancer","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1558767325000369","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Curative potential of adjuvant nivolumab was compared with radical resection only among patients at high risk of recurrence following radical surgery of muscle-invasive urothelial carcinoma (MIUC).
Methods
Using patient-level disease-free survival (DFS) data from CheckMate 274 (n = 709, minimum follow-up, 31.6 months), we applied mixture cure models (MCMs) to the adjuvant nivolumab (NIVO) and placebo (PBO) arms of the intention-to-treat (ITT) population and tumor PD-L1 expression ≥1% subpopulation. DFS was derived for hypothetical “cured” and “uncured” subgroups. DFS for the cured subgroup was estimated using WHO background mortality rates matched to trial demographic characteristics. Uncured DFS was modeled using parametric distributions and characterized with cure fractions by maximum-likelihood methods. Model selection considered clinical plausibility, visual comparisons of model fit, and goodness-of-fit statistics.
Results
MCM analysis demonstrated that almost all uncured patients experience recurrence or death within 5 years. Clinically plausible models estimated higher cure fractions in tumor PD-L1 ≥1% subgroup for patients treated with NIVO (PD-L1 ≥1%: 59.1%-61.0% vs ITT: 43.1%-45.1%), and highly similar cure fractions for patients receiving PBO irrespective of their PD-L1 expression (PD-L1 ≥1%: 35.9%-36.4% vs ITT: 36.4%-37.0%). Projected 10-year mean DFS was 4.38 to 4.47 years for NIVO and 3.61 to 3.64 years for PBO in the ITT population, and 5.54 to 5.65 years for NIVO and 3.54 to 3.57 years for PBO in the PD-L1 ≥1% subpopulation.
Conclusions
Adjuvant NIVO for high-risk MIUC was associated with a higher cure fraction than PBO in the ITT and PD-L1 ≥1% populations. Results align with reported survival from the trial and highlight clinical outcomes of interest. CheckMate 274 ClinicalTrials.gov identifier, NCT02632409.
期刊介绍:
Clinical Genitourinary Cancer is a peer-reviewed journal that publishes original articles describing various aspects of clinical and translational research in genitourinary cancers. Clinical Genitourinary Cancer is devoted to articles on detection, diagnosis, prevention, and treatment of genitourinary cancers. The main emphasis is on recent scientific developments in all areas related to genitourinary malignancies. Specific areas of interest include clinical research and mechanistic approaches; drug sensitivity and resistance; gene and antisense therapy; pathology, markers, and prognostic indicators; chemoprevention strategies; multimodality therapy; and integration of various approaches.