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Progression-free survival as a surrogate endpoint in myeloma clinical trials: an evolving paradigm

Lookup NU author(s): Professor Graham Jackson

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

© The Author(s) 2024.Measurement of overall survival (OS) remains the gold standard for interpreting the impact of new therapies for multiple myeloma in phase 3 trials. However, as outcomes have improved, it is increasingly challenging to use OS as the primary endpoint if timely approval of novel agents is to be ensured to enable maximum benefit for patients. Surrogate endpoints of OS, such as progression-free survival (PFS) and response to treatment, have contributed to approval decisions by the Food and Drug Administration (FDA) and European Medicines Agency as endpoints demonstrating clinical benefit, and the FDA has recently supported the use of minimal residual disease (MRD) as an accelerated approval endpoint in multiple myeloma. This review aims to address situations in which the use of PFS as a surrogate endpoint warrants careful interpretation especially for specific subgroups of patients and considers ways to ensure that studies can be designed to account for possible discordance between PFS and OS. The utility of subgroup analyses, including the potential for those not pre-specified, to identify target populations for new agents is also discussed.


Publication metadata

Author(s): Pawlyn C, Schjesvold FH, Cairns DA, Wei LJ, Davies F, Nadeem O, Abdulhaq H, Mateos M-V, Laubach J, Weisel K, Ludwig H, Rajkumar SV, Sonneveld P, Jackson G, Morgan G, Richardson PG

Publication type: Review

Publication status: Published

Journal: Blood Cancer Journal

Year: 2024

Volume: 14

Issue: 1

Online publication date: 12/08/2024

Acceptance date: 23/07/2024

ISSN (electronic): 2044-5385

Publisher: Springer Nature

URL: https://doi.org/10.1038/s41408-024-01109-4

DOI: 10.1038/s41408-024-01109-4

PubMed id: 39134544

Data Access Statement: All relevant data related to the study are already published, included in the article, or uploaded as supplementary information.


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