A parallel phase I/II clinical trial design for combination therapies

Xuelin Huang, Swati Biswas, Yasuhiro Oki, Jean Pierre Issa, Donald A. Berry

Research output: Contribution to journalArticlepeer-review

89 Scopus citations

Abstract

The use of multiple drugs in a single clinical trial or as a therapeutic strategy has become common, particularly in the treatment of cancer. Because traditional trials are designed to evaluate one agent at a time, the evaluation of therapies in combination requires specialized trial designs. In place of the traditional separate phase I and II trials, we propose using a parallel phase I/II clinical trial to evaluate simultaneously the safety and efficacy of combination dose levels, and select the optimal combination dose. The trial is started with an initial period of dose escalation, then patients are randomly assigned to admissible dose levels. These dose levels are compared with each other. Bayesian posterior probabilities are used in the randomization to adaptively assign more patients to doses with higher efficacy levels. Combination doses with lower efficacy are temporarily closed and those with intolerable toxicity are eliminated from the trial. The trial is stopped if the posterior probability for safety, efficacy, or futility crosses a prespecified boundary. For illustration, we apply the design to a combination chemotherapy trial for leukemia. We use simulation studies to assess the operating characteristics of the parallel phase I/II trial design, and compare it to a conventional design for a standard phase I and phase II trial. The simulations show that the proposed design saves sample size, has better power, and efficiently assigns more patients to doses with higher efficacy levels.

Original languageEnglish (US)
Pages (from-to)429-436
Number of pages8
JournalBiometrics
Volume63
Issue number2
DOIs
StatePublished - Jun 2007

Keywords

  • Bayesian
  • Dose selection
  • Efficacy
  • Logistic regression
  • Synergy
  • Toxicity

ASJC Scopus subject areas

  • Statistics and Probability
  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology
  • General Agricultural and Biological Sciences
  • Applied Mathematics

MD Anderson CCSG core facilities

  • Clinical Trials Office

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