Literature DB >> 28167538

Application of Physiologically Based Pharmacokinetic Modeling to the Understanding of Bosutinib Pharmacokinetics: Prediction of Drug-Drug and Drug-Disease Interactions.

Chiho Ono1, Poe-Hirr Hsyu1, Richat Abbas1, Cho-Ming Loi1, Shinji Yamazaki2.   

Abstract

Bosutinib is an orally available Src/Abl tyrosine kinase inhibitor indicated for the treatment of patients with Philadelphia chromosome-positive chronic myelogenous leukemia. Bosutinib is predominantly metabolized by CYP3A4 as the primary clearance mechanism. The main objectives of this study were to 1) develop physiologically based pharmacokinetic (PBPK) models of bosutinib; 2) verify and refine the PBPK models based on clinical study results of bosutinib single-dose drug-drug interaction (DDI) with ketoconazole and rifampin, as well as single-dose drug-disease interaction (DDZI) in patients with renal and hepatic impairment; 3) apply the PBPK models to predict DDI outcomes in patients with weak and moderate CYP3A inhibitors; and 4) apply the PBPK models to predict DDZI outcomes in renally and hepatically impaired patients after multiple-dose administration. Results showed that the PBPK models adequately predicted bosutinib oral exposures in patients after single- and multiple-dose administrations. The PBPK models also reasonably predicted changes in bosutinib exposures in the single-dose DDI and DDZI results, suggesting that the PBPK models were sufficiently developed and verified based on the currently available data. Finally, the PBPK models predicted 2- to 4-fold increases in bosutinib exposures by moderate CYP3A inhibitors, as well as comparable increases in bosutinib exposures in renally and hepatically impaired patients between single- and multiple-dose administrations. Given the challenges in conducting numerous DDI and DDZI studies of anticancer drugs in patients, we believe that the PBPK models verified in our study would be valuable to reasonably predict bosutinib exposures under various scenarios that have not been tested clinically.
Copyright © 2017 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2017        PMID: 28167538     DOI: 10.1124/dmd.116.074450

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  12 in total

1.  Potential for pharmacokinetic interactions between Schisandra sphenanthera and bosutinib, but not imatinib: in vitro metabolism study combined with a physiologically-based pharmacokinetic modelling approach.

Authors:  Jeffry Adiwidjaja; Alan V Boddy; Andrew J McLachlan
Journal:  Br J Clin Pharmacol       Date:  2020-05-13       Impact factor: 4.335

2.  Predicting the Drug-Drug Interaction Mediated by CYP3A4 Inhibition: Method Development and Performance Evaluation.

Authors:  Hong-Can Ren; Yang Sai; Tao Chen; Chun Zhang; Lily Tang; Cheng-Guang Yang
Journal:  AAPS J       Date:  2021-12-10       Impact factor: 4.009

Review 3.  Applications, Challenges, and Outlook for PBPK Modeling and Simulation: A Regulatory, Industrial and Academic Perspective.

Authors:  Wen Lin; Yuan Chen; Jashvant D Unadkat; Xinyuan Zhang; Di Wu; Tycho Heimbach
Journal:  Pharm Res       Date:  2022-05-13       Impact factor: 4.580

4.  Pharmacokinetics and safety of olaparib in patients with advanced solid tumours and mild or moderate hepatic impairment.

Authors:  Christian Rolfo; Nicolas Isambert; Antoine Italiano; L Rhoda Molife; Jan H M Schellens; Jean-Yves Blay; Thomas Decaens; Rebecca Kristeleit; Olivier Rosmorduc; Regina Demlova; Myung-Ah Lee; Alain Ravaud; Katerina Kopeckova; Maria Learoyd; Wendy Bannister; Gershon Locker; Judith de Vos-Geelen
Journal:  Br J Clin Pharmacol       Date:  2020-04-05       Impact factor: 4.335

5.  Physiologically based pharmacokinetic model predictions of natural product-drug interactions between goldenseal, berberine, imatinib and bosutinib.

Authors:  Jeffry Adiwidjaja; Alan V Boddy; Andrew J McLachlan
Journal:  Eur J Clin Pharmacol       Date:  2022-01-20       Impact factor: 2.953

6.  Effect of Hepatic Impairment on the Pharmacokinetics of Alectinib.

Authors:  Peter N Morcos; Yumi Cleary; Carolina Sturm-Pellanda; Elena Guerini; Markus Abt; Massimiliano Donzelli; Faye Vazvaei; Bogdana Balas; Neil Parrott; Li Yu
Journal:  J Clin Pharmacol       Date:  2018-07-27       Impact factor: 3.126

Review 7.  Bosutinib in chronic myeloid leukemia: patient selection and perspectives.

Authors:  Susanne Isfort; Tim H Brümmendorf
Journal:  J Blood Med       Date:  2018-04-10

8.  A paclitaxel prodrug with bifunctional folate and albumin binding moieties for both passive and active targeted cancer therapy.

Authors:  Lingling Shan; Xin Zhuo; Fuwu Zhang; Yunlu Dai; Guizhi Zhu; Bryant C Yung; Wenpei Fan; Kefeng Zhai; Orit Jacobson; Dale O Kiesewetter; Ying Ma; Guizhen Gao; Xiaoyuan Chen
Journal:  Theranostics       Date:  2018-02-16       Impact factor: 11.556

9.  Physiologically Based Pharmacokinetic Modeling for Olaparib Dosing Recommendations: Bridging Formulations, Drug Interactions, and Patient Populations.

Authors:  Venkatesh Pilla Reddy; Khanh Bui; Graeme Scarfe; Diansong Zhou; Maria Learoyd
Journal:  Clin Pharmacol Ther       Date:  2018-08-09       Impact factor: 6.875

Review 10.  Current trends in drug metabolism and pharmacokinetics.

Authors:  Yuhua Li; Qiang Meng; Mengbi Yang; Dongyang Liu; Xiangyu Hou; Lan Tang; Xin Wang; Yuanfeng Lyu; Xiaoyan Chen; Kexin Liu; Ai-Ming Yu; Zhong Zuo; Huichang Bi
Journal:  Acta Pharm Sin B       Date:  2019-10-18       Impact factor: 11.413

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