SLC28A3 genotype and gemcitabine rate of infusion affect dFdCTP metabolite disposition in patients with solid tumours

A. Khatri, B. W. Williams, J. Fisher, R. C. Brundage, V. J. Gurvich, L. G. Lis, K. M. Skubitz, A. Z. Dudek, E. W. Greeno, R. A. Kratzke, J. K. Lamba, M. N. Kirstein

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

Background:Gemcitabine is used for the treatment of several solid tumours and exhibits high inter-individual pharmacokinetic variability. In this study, we explore possible predictive covariates on drug and metabolite disposition.Methods:Forty patients were enrolled. Gemcitabine and dFdU concentrations in the plasma and dFdCTP concentrations in peripheral blood mononuclear cell were measured to 72 h post infusion, and pharmacokinetic parameters were estimated by nonlinear mixed-effects modelling. Patient-specific covariates were tested in model development.Results:The pharmacokinetics of gemcitabine was best described by a two-compartment model with body surface area, age and NT5C2 genotype as significant covariates. The pharmacokinetics of dFdU and dFdCTP were adequately described by three-compartment models. Creatinine clearance and cytidine deaminase genotype were significant covariates for dFdU pharmacokinetics. Rate of infusion of <25 mg m-2 min-1 and the presence of homozygous major allele for SLC28A3 (CC genotype) were each associated with an almost two-fold increase in the formation clearance of dFdCTP.Conclusion:Prolonged dFdCTP systemic exposures (≥72 h) were commonly observed. Infusion rate <25 mg m-2 min-1 and carriers for SLC28A3 variant were each associated with about two-fold higher dFdCTP formation clearance. The impacts of these covariates on treatment-related toxicity in more selected patient populations (that is, first-line treatment, single disease state and so on) are not yet clear.

Original languageEnglish (US)
Pages (from-to)304-312
Number of pages9
JournalBritish Journal of Cancer
Volume110
Issue number2
DOIs
StatePublished - Jan 21 2014

Keywords

  • covariates
  • dFdCTP
  • gemcitabine
  • infusion rate
  • pharmacogenomics
  • population pharmacokinetic model

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