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Published on: December 11, 2016
Resampling phase III data to assess phase II trial designs and endpoints
Manish R Sharma1, Theodore G Karrison, Yuyan Jin
1Departments of Medicine and Health Studies, University of Chicago, Chicago, Illinois, USA.
Purpose:
The best phase II design and endpoint for growth inhibitory agents is controversial. We simulated phase II trials by resampling patients from a positive (sorafenib vs. placebo; TARGET) and a negative (AE941 vs. placebo) phase III trial in metastatic renal cancer to compare the ability of various designs and endpoints to predict the known results.
Experimental Design:
A total of 770 and 259 patients from TARGET and the AE 941 trial, respectively, were resampled (5,000 replicates) to simulate phase II trials with α = 0.10 (one-sided). Designs/endpoints: single arm, two-stage with response rate (RR) by Response Evaluation Criteria in Solid Tumors (RECIST; 37 patients); and randomized, two arm (20-35 patients per arm) with RR by RECIST, mean log ratio of tumor sizes (log ratio), progression-free survival (PFS) rate at 90 days (PFS-90), and overall PFS.
Results:
Single-arm trials were positive with RR by RECIST in 55% and 1% of replications for sorafenib and AE 941, respectively. Randomized trials versus placebo with 20 patients per arm were positive with RR by RECIST in 55% and 7%, log ratio in 88% and 25%, PFS-90 in 64% and 15%, and overall PFS in 69% and 9% of replications for sorafenib and AE 941, respectively.
Conclusions:
Compared with the single-arm design and the randomized design comparing PFS, the randomized phase II design with the log ratio endpoint has greater power to predict the positive phase III result of sorafenib in renal cancer, but a higher false positive rate for the negative phase III result of AE 941.
Insights
For growth inhibitory agents in metastatic renal cancer, a randomized phase II trial using the log ratio of tumor sizes is more powerful than single-arm designs or those using progression-free survival to predict phase III outcomes.
Area of Science:
- Oncology
- Clinical Trial Design
- Biostatistics
Background:
- The optimal phase II clinical trial design and endpoint for evaluating growth inhibitory agents remain debated.
- Predicting phase III outcomes from phase II trials is crucial for drug development efficiency.
Purpose of the Study:
- To compare the predictive power of various phase II trial designs and endpoints for growth inhibitory agents.
- To evaluate the ability of different designs to predict known phase III results in metastatic renal cancer.
Main Methods:
- Simulated 5,000 phase II trials by resampling patients from positive (sorafenib) and negative (AE941) phase III trials in metastatic renal cancer.
- Assessed single-arm and randomized designs using endpoints such as response rate (RR) by RECIST, mean log ratio of tumor sizes, and progression-free survival (PFS) at 90 days (PFS-90) and overall PFS.
Main Results:
- Single-arm trials showed a 55% positive prediction rate for sorafenib and 1% for AE941 using RR by RECIST.
- Randomized trials (20 patients/arm) demonstrated higher positive prediction rates: RR by RECIST (55% vs 7%), log ratio (88% vs 25%), PFS-90 (64% vs 15%), and overall PFS (69% vs 9%) for sorafenib vs AE941, respectively.
Conclusions:
- The randomized phase II design with the log ratio endpoint offers superior power to predict positive phase III results (sorafenib).
- This design also exhibits a higher false positive rate for negative phase III results (AE941) compared to single-arm designs or those using overall PFS.
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