Application of a physiologically based pharmacokinetic model of rivaroxaban to prospective simulations of drug-drug-disease interactions with protein kinase inhibitors in cancer-associated venous thromboembolism

Br J Clin Pharmacol. 2022 May;88(5):2267-2283. doi: 10.1111/bcp.15158. Epub 2022 Jan 5.

Abstract

Aims: Rivaroxaban is a viable anticoagulant for the management of cancer-associated venous thromboembolism (CA-VTE). A previously verified physiologically-based pharmacokinetic (PBPK) model of rivaroxaban established how its multiple pathways of elimination via both CYP3A4/2J2-mediated hepatic metabolism and organic anion transporter 3 (OAT3)/P-glycoprotein-mediated renal secretion predisposes rivaroxaban to drug-drug-disease interactions (DDDIs) with clinically relevant protein kinase inhibitors (PKIs). We proposed the application of PBPK modelling to prospectively interrogate clinically significant DDIs between rivaroxaban and PKIs (erlotinib and nilotinib) for dose adjustments in CA-VTE.

Methods: The inhibitory potencies of the PKIs on CYP3A4/2J2-mediated metabolism of rivaroxaban were characterized. Using prototypical OAT3 inhibitor ketoconazole, in vitro OAT3 inhibition assays were optimized to ascertain the in vivo relevance of derived transport inhibitory constants (Ki ). Untested DDDIs between rivaroxaban and erlotinib or nilotinib were simulated.

Results: Mechanism-based inactivation (MBI) of CYP3A4-mediated rivaroxaban metabolism by both PKIs and MBI of CYP2J2 by erlotinib were established. The importance of substrate specificity and nonspecific binding to derive OAT3-inhibitory Ki values of ketoconazole and nilotinib for the accurate prediction of interactions was illustrated. When simulated rivaroxaban exposure variations with concomitant erlotinib and nilotinib therapy were evaluated using published dose-exposure equivalence metrics and bleeding risk analyses, dose reductions from 20 to 15 and 10 mg in normal and mild renal dysfunction, respectively, were warranted.

Conclusion: We established a PBPK-DDDI model to prospectively evaluate clinically relevant interactions between rivaroxaban and PKIs for the safe and efficacious management of CA-VTE.

Keywords: drug-drug-disease interactions; erlotinib; nilotinib; physiologically based pharmacokinetics; rivaroxaban.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cytochrome P-450 CYP3A / metabolism
  • Drug Interactions
  • Erlotinib Hydrochloride / adverse effects
  • Humans
  • Ketoconazole / pharmacokinetics
  • Models, Biological
  • Neoplasms* / complications
  • Neoplasms* / drug therapy
  • Prospective Studies
  • Protein Kinase Inhibitors / adverse effects
  • Rivaroxaban
  • Venous Thromboembolism* / drug therapy
  • Venous Thromboembolism* / etiology

Substances

  • Protein Kinase Inhibitors
  • Rivaroxaban
  • Erlotinib Hydrochloride
  • Cytochrome P-450 CYP3A
  • Ketoconazole