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Why the duration of cancer treatment requires a closer look: An empirical analysis of recent FDA approvals

Year: 2025

Type: article

Abstract: AIM: The duration of cancer treatment influences efficacy, toxicity, and cost. Optimizing the duration of therapy is an increasingly recognized need. The duration of planned and received therapy in FDA registration trials has not been comprehensively studied. Our objective was to describe those in FDA-approved cancer drug trials over the past five years, across all settings. METHODS: Cross-sectional analysis of 227 FDA registration trials for oncology and hematology drugs approved between January 1, 2019, and August 19, 2024. Data were abstracted from FDA approval documents and associated publications. The main outcomes and measurements included descriptive statistics of trial-level characteristics, including treatment duration type (fixed vs indefinite), treatment setting (advanced, frontline, perioperative), and reported treatment durations. RESULTS: Among 227 included trials, 136 (59.9 %) used an indefinite course of treatment and 91 (40.1 %) used a fixed course, including 13 single-dose trials. Among fixed trials, 70.5 % were planned for either 12 or 24 months. The median treatment duration received was 7.4 months in both fixed and indefinite trials. In advanced/frontline fixed trials, the median difference between planned and received duration was 16.3 months, compared to 0.8 months in perioperative trials (P = .0001). CONCLUSION: Planned durations of treatment in recent FDA registration cancer trials often significantly exceed the durations patients actually receive. No trials randomized patients to different durations. These findings underscore the need for randomized evaluations of treatment duration to prevent overtreatment. Regulators should prioritize shorter treatment durations unless a strong rationale supports longer ones.

Source: European Journal of Cancer

DOI: 10.1016/j.ejca.2025.115701

Authors: Jeremy Birkmire, Alyson Haslam, Eduardo Fernandez Hernandez, Timothée Olivier

Institutions: Baylor College of Medicine, University of California, San Francisco, University of Southern California, Keck Hospital of USC, University Hospital of Geneva

Language: English

Topic: Statistical Methods in Clinical Trials

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $4,270