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Prediction of the drug-drug interaction potential of the α1-acid glycoprotein bound, CYP3A4/CYP2C9 metabolized oncology drug, erdafitinib.
De Zwart, Loeckie; Snoeys, Jan; Jacobs, Frank; Li, Lilian Y; Poggesi, Italo; Verboven, Peter; Goris, Ivo; Scheers, Ellen; Wynant, Inneke; Monshouwer, Mario; Mamidi, Rao N V S.
Affiliation
  • De Zwart L; Janssen Research & Development, Beerse, Belgium.
  • Snoeys J; Janssen Research & Development, Beerse, Belgium.
  • Jacobs F; Janssen Research & Development, Beerse, Belgium.
  • Li LY; Janssen Research & Development, Spring House, Pennsylvania, USA.
  • Poggesi I; Janssen-Cilag SpA, Cologno Monzese, Italy.
  • Verboven P; Janssen Research & Development, Beerse, Belgium.
  • Goris I; Janssen Research & Development, Beerse, Belgium.
  • Scheers E; Janssen Research & Development, Beerse, Belgium.
  • Wynant I; Janssen Research & Development, Beerse, Belgium.
  • Monshouwer M; Janssen Research & Development, Beerse, Belgium.
  • Mamidi RNVS; Janssen Research & Development, LLC, Raritan, New Jersey, USA.
CPT Pharmacometrics Syst Pharmacol ; 10(9): 1107-1118, 2021 09.
Article in En | MEDLINE | ID: mdl-34273250
ABSTRACT
Erdafitinib is a potent oral pan-fibroblast growth factor receptor inhibitor being developed as oncology drug for patients with alterations in the fibroblast growth factor receptor pathway. Erdafitinib binds preferentially to α1-acid glycoprotein (AGP) and is primarily metabolized by cytochrome P450 (CYP) 2C9 and 3A4. This article describes a physiologically based pharmacokinetic (PBPK) model for erdafitinib to assess the drug-drug interaction (DDI) potential of CYP3A4 and CYP2C9 inhibitors and CYP3A4/CYP2C9 inducers on erdafitinib pharmacokinetics (PK) in patients with cancer exhibiting higher AGP levels and in populations with different CYP2C9 genotypes. Erdafitinib's DDI potential as a perpetrator for transporter inhibition and for time-dependent inhibition and/or induction of CYP3A was also evaluated. The PBPK model incorporated input parameters from various in vitro and clinical PK studies, and the model was verified using a clinical DDI study with itraconazole and fluconazole. Erdafitinib clearance in the PBPK model consisted of multiple pathways (CYP2C9/3A4, renal, intestinal; additional hepatic clearance), making the compound less susceptible to DDIs. In poor-metabolizing CYP2C9 populations carrying the CYP2C9*3/*3 genotype, simulations shown clinically relevant increase in erdafitinib plasma concentrations. Simulated luminal and enterocyte concentration showed potential risk of P-glycoprotein inhibition with erdafitinib in the first 5 h after dosing, and simulations showed this interaction can be avoided by staggering erdafitinib and digoxin dosing. Other than a simulated ~ 60% exposure reduction with strong CYP3A/2C inducers such as rifampicin, other DDI liabilities were minimal and considered not clinically relevant.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pyrazoles / Quinoxalines / Cytochrome P-450 CYP3A / Cytochrome P-450 CYP2C9 / Models, Biological Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: CPT Pharmacometrics Syst Pharmacol Year: 2021 Document type: Article Affiliation country: Belgium

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pyrazoles / Quinoxalines / Cytochrome P-450 CYP3A / Cytochrome P-450 CYP2C9 / Models, Biological Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: CPT Pharmacometrics Syst Pharmacol Year: 2021 Document type: Article Affiliation country: Belgium