Probability of regulatory approval over time: A cohort study of cancer therapies Journal Article


Authors: Hutchinson, N.; Bicer, S.; Feldhake, E.; Carlisle, B. G.; Gonen, M.; Del Paggio, J.; Kimmelman, J.
Article Title: Probability of regulatory approval over time: A cohort study of cancer therapies
Abstract: PURPOSE: New cancer therapies are frequently evaluated in multiple disease indications. We evaluated whether the probability of achieving US Food and Drug Administration (FDA) approval for a new cancer therapy changes with time. METHODS: We identified a cohort of anticancer drugs with a first registered efficacy trial from 2007 to 2011 on ClinicalTrials.gov. We downloaded all clinical trials for each included drug from the initiation of efficacy testing to January 11, 2021. Each trial was categorized by cancer indication and assigned to investigational trajectories on the basis of unique drug-indication pairings. We performed a univariate Cox's proportional hazards regression to assess the probability of a trajectory leading to regulatory approval over time since initiation of the first efficacy trial for a given drug. RESULTS: We included 213 drugs in our cohort, of which 37 (17.4%) received FDA approval in at least one oncology indication. In our primary analysis, we found a 15% decrease in the probability of approval for every year since initiation of the first efficacy trial (hazard ratio [HR], 0.85 [95% CI, 0.73 to 0.99]; P = .032). We found a 45% increase in the probability of approval for the first trajectory launched for a given drug in comparison with all others (HR, 0.55 [95% CI, 0.33 to 0.91]; P = .021). CONCLUSION: Drug-indication pairings pursued years after initial testing for efficacy have lowered probability of affecting care. Clinical trial investigators, sponsors, and regulatory bodies may benefit from awareness of this trend when considering both early and late trajectory trials in a drug's development.
Keywords: antineoplastic agents; antineoplastic agent; neoplasm; neoplasms; cohort studies; proportional hazards models; cohort analysis; proportional hazards model; pharmaceutical preparations; drug; humans; human
Journal Title: JCO Oncology Practice
Volume: 20
Issue: 2
ISSN: 2688-1527
Publisher: American Society of Clinical Oncology  
Date Published: 2024-02-01
Start Page: 247
End Page: 253
Language: English
DOI: 10.1200/op.23.00363
PUBMED: 38109682
PROVIDER: scopus
DOI/URL:
Notes: Source: Scopus
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  1. Mithat Gonen
    1028 Gonen