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Performance of Control Arms in Trials Leading to FDA Cancer Drug Approvals
Angela Viggiano1, Fabio Salomone1, Fabiana Napolitano2
11Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy.
Control arms in cancer drug trials often underperformed, showing shorter progression-free survival (PFS) than expected. This highlights the need for accurate control arm analysis in evaluating new anticancer therapies.
Area of Science:
- Oncology
- Clinical Trial Design
- Drug Development
Background:
- Selecting appropriate control arms is critical for evaluating the efficacy of novel anticancer therapies.
- Control arm performance significantly impacts the interpretation of new drug trial results.
- Inconsistent control arm outcomes can affect the perceived benefit of experimental treatments.
Purpose of the Study:
- To analyze the performance of control arms in clinical trials supporting FDA drug approvals for advanced solid cancers.
- To identify the frequency and extent of control arm underperformance and overperformance.
- To assess the implications of control arm discrepancies on drug approval and efficacy assessment.
Main Methods:
- Analysis of progression-free survival (PFS) in control arms of Phase III or double-arm Phase II trials for FDA-approved anticancer drugs (2014-2023).
- Extraction of assumed median PFS (amPFS) from protocols and observed median PFS (omPFS) with confidence intervals from trial results.
- Categorization of control arms as underperforming (amPFS > omPFS upper bound), outperforming (amPFS < omPFS lower bound), or within range.
Main Results:
- Out of 72 trials, 33.3% of control arms underperformed, 11.1% outperformed, and 55.5% were within range.
- Underperformance was notable in trials for immune checkpoint inhibitors (48.0%) and targeted therapies (18.9%).
- Significant discrepancies (>20%) between assumed and observed PFS occurred in 75.0% of underperforming arms, with 38.9% of expedited approvals lacking demonstrated overall survival advantage.
Conclusions:
- Shorter-than-expected progression-free survival in control arms may inflate the perceived efficacy of new anticancer drugs.
- Accurate analysis and realistic assumptions for control arm outcomes are essential for robust efficacy assessment.
- Improved control arm evaluation is crucial for reliable drug development and patient treatment decisions.
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