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Review
. 2011 Jul 20;103(14):1093-100.
doi: 10.1093/jnci/djr218. Epub 2011 Jun 27.

Randomized phase II trials: a long-term investment with promising returns

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Review

Randomized phase II trials: a long-term investment with promising returns

Manish R Sharma et al. J Natl Cancer Inst. .

Abstract

Given the multitude of novel anticancer drugs and the limited resources available to study them, phase II trials should identify drugs with the highest probability of succeeding in subsequent phase III trials. Currently, single-arm phase II trial results are interpreted relative to historical control subjects, introducing selection bias and confounding that may limit the validity of the conclusions. The rate of success (defined as a statistically significant difference between arms) in phase III oncology trials is only 40%, suggesting that current phase II trials are insufficiently informative. However, simulation studies suggest that randomized phase II trials would have lower error rates and greater predictive power for phase III results. Randomized phase II trials may also be more informative than single-arm phase II trials because of the hypotheses being tested, the variety of possible endpoints, and the opportunities for biomarker discovery. There are a wide variety of randomized phase II designs that can be used, including the randomized discontinuation design, the delayed-start design, adaptive (Bayesian) designs, selection designs, and phase II/III designs. The barriers to widespread adoption of randomized phase II trials include time to completion, sample size considerations, and ethical concerns, but none are insurmountable. We conclude that randomized phase II trials are a worthy investment considering finite patient and financial resources and should be the rule rather than the exception for evaluating novel therapies in oncology.

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Figures

Figure 1
Figure 1
Schematic illustrations of various randomized phase II trial designs. A) Up-front randomized design. B) Randomized discontinuation design. Time X is the prespecified end of the run-in period, which is typically in the range of 8–12 weeks for most drugs and tumor types. C) Delayed-start design. Time X is the prespecified end of the placebo period (for those randomly assigned to placebo). Time Y is the prespecified point at which continuous endpoints for the two arms are compared. The difference is the disease-modifying effect. D) Adaptive (Bayesian) randomized design. The design is the same as the up-front randomized design, but the dashed line indicates that available information regarding outcomes is used to adjust the randomization scheme in real time. E) Selection (“pick the winner”) design. F) Phase II/III design. The analysis of the phase III trial includes patients from both the phase II and phase III portions. CR = complete response; PD = progressive disease; PR = partial response; R = randomization; RECIST = response evaluation criteria in solid tumors; SD = stable disease.

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