SPIRIT: A seamless phase I/II randomized design for immunotherapy trials

Beibei Guo, Daniel Li, Ying Yuan

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Immunotherapy—treatments that enlist the immune system to battle tumors—has received widespread attention in cancer research. Due to its unique features and mechanisms for treating cancer, immunotherapy requires novel clinical trial designs. We propose a Bayesian seamless phase I/II randomized design for immunotherapy trials (SPIRIT) to find the optimal biological dose (OBD) defined in terms of the restricted mean survival time. We jointly model progression-free survival and the immune response. Progression-free survival is used as the primary endpoint to determine the OBD, and the immune response is used as an ancillary endpoint to quickly screen out futile doses. Toxicity is monitored throughout the trial. The design consists of two seamlessly connected stages. The first stage identifies a set of safe doses. The second stage adaptively randomizes patients to the safe doses identified and uses their progression-free survival and immune response to find the OBD. The simulation study shows that the SPIRIT has desirable operating characteristics and outperforms the conventional design.

Original languageEnglish (US)
Pages (from-to)527-540
Number of pages14
JournalPharmaceutical statistics
Volume17
Issue number5
DOIs
StatePublished - Sep 1 2018

Keywords

  • Bayesian adaptive design
  • dose finding
  • immunotherapy
  • phase I-II trials
  • seamless design

ASJC Scopus subject areas

  • Statistics and Probability
  • Pharmacology
  • Pharmacology (medical)

MD Anderson CCSG core facilities

  • Biostatistics Resource Group

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