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Prediction of the drug–drug interaction potential of the α1‐acid glycoprotein bound, CYP3A4/CYP2C9 metabolized oncology drug, erdafitinib

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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452301/
https://www.ncbi.nlm.nih.gov/pubmed/34273250
http://dx.doi.org/10.1002/psp4.12682
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author 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.
author_facet 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.
author_sort De Zwart, Loeckie
collection PubMed
description 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.
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spelling pubmed-84523012021-09-27 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. CPT Pharmacometrics Syst Pharmacol Research 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. John Wiley and Sons Inc. 2021-08-11 2021-09 /pmc/articles/PMC8452301/ /pubmed/34273250 http://dx.doi.org/10.1002/psp4.12682 Text en © 2021 Janssen Research & Development. Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research
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.
Prediction of the drug–drug interaction potential of the α1‐acid glycoprotein bound, CYP3A4/CYP2C9 metabolized oncology drug, erdafitinib
title Prediction of the drug–drug interaction potential of the α1‐acid glycoprotein bound, CYP3A4/CYP2C9 metabolized oncology drug, erdafitinib
title_full Prediction of the drug–drug interaction potential of the α1‐acid glycoprotein bound, CYP3A4/CYP2C9 metabolized oncology drug, erdafitinib
title_fullStr Prediction of the drug–drug interaction potential of the α1‐acid glycoprotein bound, CYP3A4/CYP2C9 metabolized oncology drug, erdafitinib
title_full_unstemmed Prediction of the drug–drug interaction potential of the α1‐acid glycoprotein bound, CYP3A4/CYP2C9 metabolized oncology drug, erdafitinib
title_short Prediction of the drug–drug interaction potential of the α1‐acid glycoprotein bound, CYP3A4/CYP2C9 metabolized oncology drug, erdafitinib
title_sort prediction of the drug–drug interaction potential of the α1‐acid glycoprotein bound, cyp3a4/cyp2c9 metabolized oncology drug, erdafitinib
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452301/
https://www.ncbi.nlm.nih.gov/pubmed/34273250
http://dx.doi.org/10.1002/psp4.12682
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