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Two-stage model-based design of cancer phase i dose escalation trials: Evaluation using the phase i program of barasertib (AZD1152)

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8 Citations (Scopus)

Abstract

Introduction Modeling and simulation of pharmacokinetics and pharmacodynamics has previously been shown to be potentially useful in designing Phase I programs of novel anti-cancer agents that show hematological toxicity. In this analysis, a two-stage model-based trial design was evaluated retrospectively using data from the Phase I program with the aurora kinase inhibitor barasertib. Methods: Data from two Phase I trials and four regimens were used (n=79). Using barasertib-hydroxy QPA plasma concentrations and neutrophil count data from only study 1A, a PKPD model was developed and subsequently used to predict the MTD and a safe starting dose for the other trials. Results: The PKPD model based on data from the first study adequately described the time course of neutrophil count fluctuation. The two-stage model-based design provided safe starting doses for subsequent phase I trials for barasertib. Predicted safe starting dose levels were higher than those used in two subsequent trials, but lower than used in the other trial. Discussion The two-stage approach could have been applied safely to define starting doses for alternative dosing strategies with barasertib. The limited improvement in efficiency for the phase I program of barasertib may have been due to the fact that starting doses for the studied phase I trials were already nearly optimal. Conclusion: Application of the two-stage modelbased trial design in Phase I programs with novel anticancer drugs that cause haematological toxicity is feasible, safe, and may lead to a reduction in the number of patient treated at sub-therapeutic dose-levels.

Original languageEnglish
Pages (from-to)1519-1530
Number of pages12
JournalInvestigational New Drugs
Volume30
Issue number4
DOIs
Publication statusPublished - Aug 2012
Externally publishedYes

Keywords

  • AZD1152
  • Barasertib
  • Hematological toxicity
  • Modeling and simulation
  • Oncology
  • Phase I

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