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UGT1A1 genotype-dependent dose adjustment of belinostat in patients with advanced cancers using population pharmacokinetic modeling and simulation

  • Cody J. Peer
  • , Andrew K.L. Goey
  • , Tristan M. Sissung
  • , Sheryl Erlich
  • , Min Jung Lee
  • , Yusuke Tomita
  • , Jane B. Trepel
  • , Richard Piekarz
  • , Sanjeeve Balasubramaniam
  • , Susan E. Bates
  • , William D. Figg*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Belinostat is a second-generation zinc-binding histone deacetylase inhibitor that is approved for peripheral T-cell lymphoma and is currently being studied in small cell lung cancer and other advanced carcinomas as a 48-hour continuous intravenous infusion. Belinostat is predominantly metabolized by UGT1A1, which is polymorphic. Preliminary analyses revealed a difference in belinostat clearance based on UGT1A1 genotype. A 2-compartment population pharmacokinetic (PK) model was developed and validated that incorporated the UGT1A1 genotype, albumin, and creatinine clearance on the clearance parameter; body weight was a significant covariate on volume. Simulated doses of 600 and 400 mg/m2/24 h given to patients considered extensive or impaired metabolizers, respectively, provided equivalent AUCs. This model and subsequent simulations supported additional PK/toxicity and pharmacogenomics/toxicity analyses to suggest a UGT1A1 genotype-based dose adjustment to normalize belinostat exposure and allow for more tolerable therapy. In addition, global protein lysine acetylation was modeled with PK and demonstrated a reversible belinostat exposure/response relationship, consistent with previous reports.

Original languageEnglish
Pages (from-to)450-460
Number of pages11
JournalJournal of Clinical Pharmacology
Volume56
Issue number4
DOIs
StatePublished - 1 Apr 2016

Keywords

  • clinical pharmacology
  • oncology
  • pharmacogenetics
  • pharmacokinetics
  • pharmacometrics
  • population

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