Planning a Bayesian early-phase phase I/II study for human vaccines in HER2 carcinomas

Pharm Stat. 2011 May-Jun;10(3):218-26. doi: 10.1002/pst.450. Epub 2010 Oct 4.

Abstract

Recent innovative statistical approaches for phase I/II clinical trials allow one to jointly model the toxicity and efficacy of a new treatment, taking into account the information gathered during the trial. Prior probabilities are then updated with interim data and thus predictive probabilities become more accurate as the trial progresses. In this study, prior distribution elicited from a physician's opinion on the available dose levels planned for a vaccination dose-finding trial, with human DNA in patients with HER2-positive tumours in terms of toxicity and therapeutic response is presented and discussed. A simulation study was conducted in order to quantify the impact of the choice of prior on study results, i.e. the recommended dose level at the end of the trial.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Bayes Theorem
  • Breast Neoplasms / genetics
  • Breast Neoplasms / metabolism
  • Breast Neoplasms / therapy*
  • Cancer Vaccines / adverse effects
  • Cancer Vaccines / therapeutic use*
  • Carcinoma / genetics
  • Carcinoma / metabolism
  • Carcinoma / therapy*
  • Clinical Trials as Topic
  • Clinical Trials, Phase I as Topic / methods*
  • Clinical Trials, Phase II as Topic / methods*
  • Computer Simulation
  • Dose-Response Relationship, Drug
  • Female
  • Humans
  • Mice
  • Models, Theoretical
  • Probability
  • Receptor, ErbB-2 / genetics
  • Receptor, ErbB-2 / metabolism*
  • Research Design
  • Surveys and Questionnaires
  • Vaccination / adverse effects
  • Vaccines, DNA / adverse effects
  • Vaccines, DNA / therapeutic use

Substances

  • Cancer Vaccines
  • Vaccines, DNA
  • Receptor, ErbB-2