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Updated: Sep 24, 2025

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
Published on: February 6, 2015
Clinical development of anticancer drugs can be enhanced using efficacy data of small population clinical trials
Keiichi Sawachi1,2, Naoki Matsumaru1, Katsura Tsukamoto1
1Global Regulatory Science, Gifu Pharmaceutical University, Gifu, Japan.
What Is Known And Objective:
Although there are accelerated approval pathways based on data of small populations and surrogate endpoints, the concern that these pathways authorize the use of inefficacious drugs based on limited data from earlier phase clinical trials remains. We retrospectively investigated the efficacy of anticancer drugs, which were approved or whose development was terminated in small and large clinical trials, and verified whether small clinical trials could reflect the results for efficacy in large clinical trials.
Methods:
All anticancer drugs approved in Japan or whose development was terminated from 2015 to 2019 were searched. The median overall survival (OS), median progression-free survival (PFS), and overall response rates (ORR) between small clinical trials (sample size ≤100) and large clinical trials (sample size >100) with identical target populations and treatment settings were compared. Simple linear regression analysis, Spearman's correlation analysis, and paired sample t-test were performed.
Results And Discussion:
A total of 61 comparable small and large clinical trials were identified. For all endpoints, statistically significant linear trends and correlation were detected (p < 0.001). There were no statistically significant differences in the median PFS and ORR between small and large clinical trials. The mean differences of both clinical trials were -0.102 months and -1.531%, respectively.
What Is New And Conclusion:
Even when the sample size of the clinical trial was increased, the efficacy data of anticancer drugs could not be changed significantly. These results supported the accelerated approval pathway based on the promising efficacy data of small populations in anticancer drug development.
Insights
Small clinical trials accurately predict anticancer drug efficacy in larger studies. This supports accelerated approval pathways, ensuring timely access to potentially life-saving treatments without compromising data integrity.
Area of Science:
- Oncology
- Clinical Pharmacology
- Biostatistics
Background:
- Accelerated approval pathways for anticancer drugs rely on small population data and surrogate endpoints.
- Concerns exist regarding the potential approval of inefficacious drugs based on limited early-phase trial data.
Purpose of the Study:
- To retrospectively investigate the efficacy of anticancer drugs in small versus large clinical trials.
- To determine if small clinical trials can reliably reflect efficacy outcomes observed in large clinical trials.
Main Methods:
- Analyzed anticancer drugs approved or terminated in Japan (2015-2019).
- Compared efficacy endpoints (overall survival, progression-free survival, overall response rates) between small (≤100 participants) and large (>100 participants) trials.
- Utilized linear regression, Spearman correlation, and paired t-tests.
Main Results:
- Identified 61 comparable small and large clinical trials.
- Found statistically significant linear trends and correlations for all endpoints (p < 0.001).
- No significant differences in median progression-free survival or overall response rates between small and large trials.
Conclusions:
- Efficacy data for anticancer drugs remain consistent regardless of clinical trial sample size increase.
- Results support the validity of accelerated approval pathways based on promising small-population data.
- Small trials provide reliable predictions of drug efficacy, facilitating efficient drug development.
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