Surrogate endpoints for overall survival in randomized clinical trials testing immune checkpoint inhibitors: a systematic review and meta-analysis.

immune check inhibitor (ICI) immunotherapy methodology randomized clinical trial surrogate

Journal

Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960

Informations de publication

Date de publication:
2024
Historique:
received: 19 11 2023
accepted: 08 01 2024
medline: 13 2 2024
pubmed: 13 2 2024
entrez: 13 2 2024
Statut: epublish

Résumé

There is debate on which are the best surrogate endpoint and metric to capture treatment effect on overall survival (OS) in RCTs testing immune-checkpoint inhibitors (ICIs). We systematically searched for RCTs testing ICIs in patients with advanced solid tumors. Inclusion criteria were: RCTs i) assessing PD-(L)1 and CTLA-4 inhibitors either as monotherapy or in combination with another ICI, and/or targeted therapy, and/or chemotherapy, in patients with advanced solid tumors; ii) randomizing at least 100 patients. We performed a meta-analysis of RCTs to compare the surrogacy value of PFS and modified-PFS (mPFS) for OS in RCTs testing ICIs, when the treatment effect is measured by the hazard ratio (HR) for OS, and by the HR and the ratio of restricted mean survival time (rRMST) for PFS and mPFS. 61 RCTs (67 treatment comparisons and 36,034 patients) were included in the analysis. In comparisons testing ICI plus chemotherapy, HR In RCTs testing ICIs, the value of potential surrogates for HR

Identifiants

pubmed: 38348030
doi: 10.3389/fimmu.2024.1340979
pmc: PMC10859450
doi:

Types de publication

Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1340979

Informations de copyright

Copyright © 2024 Sala, Pagan, Pala, Oriecuia, Musca, Specchia, De Pas, Cortes, Giaccone, Postow, Gelber, Bagnardi and Conforti.

Déclaration de conflit d'intérêts

Author JC was employed by the company Pangaea Oncology. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Isabella Sala (I)

Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy.
Department of Medicine and Surgery, University of Milan-Bicocca, Milan, Italy.

Eleonora Pagan (E)

Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy.

Laura Pala (L)

Department of Medical Oncology, Humanitas Gavazzeni, Bergamo, Italy.

Chiara Oriecuia (C)

Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.

Marco Musca (M)

Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy.
Methodology for Clinical Research Laboratory, Istituto di Ricerche Farmacologiche Mario Negri Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy.

Claudia Specchia (C)

Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.

Tommaso De Pas (T)

Department of Medical Oncology, Humanitas Gavazzeni, Bergamo, Italy.

Javier Cortes (J)

International Breast Cancer Center, Pangaea Oncology, Quiron Group, Madrid, Spain.
International Breast Cancer Center, Pangaea Oncology, Quiron Group, Barcelona, Spain.
Faculty of Biomedical and Health Sciences, Department of Medicine, Universidad Europea de Madrid, Madrid, Spain.

Giuseppe Giaccone (G)

Meyer Cancer Center, Weill Cornel Medicine, New York, NY, United States.

Michael Postow (M)

Department of Medicine, Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, NY, United States.

Richard D Gelber (RD)

Department of Data Science, Dana-Farber Cancer Institute, Harvard Medical School, Harvard Tseng-Hsi (T.H.) Chan School of Public Health, and Frontier Science and Technology Research Foundation, Boston, MA, United States.

Vincenzo Bagnardi (V)

Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy.

Fabio Conforti (F)

Department of Medical Oncology, Humanitas Gavazzeni, Bergamo, Italy.
University of Milan, Milan, Italy.

Classifications MeSH