Literature DB >> 28052338

Quantitative Prediction of the Effect of CYP3A Inhibitors and Inducers on Venetoclax Pharmacokinetics Using a Physiologically Based Pharmacokinetic Model.

Kevin J Freise1, Mohamad Shebley1, Ahmed Hamed Salem1.   

Abstract

The objectives of the analysis were to develop and verify a venetoclax physiologically based pharmacokinetic (PBPK) model to predict the effects of cytochrome P450 3A (CYP3A) inhibitors and inducers on the PK of venetoclax and inform dosing recommendations. A minimal PBPK model was developed based on prior in vitro and in vivo clinical data using a "middle-out" approach. The PBPK model was independently verified against clinical studies of the strong CYP3A inhibitor ketoconazole, the strong CYP3A inducer, multiple-dose rifampin, and the steady-state venetoclax PK in chronic lymphocytic leukemia (CLL) subjects by comparing predicted to observed ratios of the venetoclax maximum concentration (Cmax R) and area under the curve from time 0 to infinity (AUC∞ R) from these studies. The verified PBPK model was then used to simulate the effects of different CYP3A inhibitors and inducers on the venetoclax PK. Comparison of the PBPK model predicted to the observed PK parameters indicated good agreement. Verification of the PBPK model demonstrated that the ratios of the predicted:observed Cmax R and AUC∞ R of venetoclax were within 0.8- to 1.25-fold range for strong CYP3A inhibitors and inducers. Model simulations indicated no effect of weak CYP3A inhibitors or inducers on Cmax or AUC∞ , while both moderate and strong CYP3A inducers were estimated to decrease venetoclax exposure. Moderate and strong CYP3A inhibitors were estimated to increase venetoclax AUC∞ , by 100% to 390% and 480% to 680%, respectively. The recommended venetoclax dose reductions of at least 50% and 75% when coadministered with moderate and strong CYP3A inhibitors, respectively, maintain venetoclax exposures between therapeutic and maximally administered safe doses.
© 2017, The American College of Clinical Pharmacology.

Entities:  

Keywords:  ABT-199/GDC-0199; BCL-2; CYP3A; PBPK; drug-drug interaction; venetoclax

Mesh:

Substances:

Year:  2017        PMID: 28052338     DOI: 10.1002/jcph.858

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  21 in total

1.  Pharmacokinetics of the BCL-2 Inhibitor Venetoclax in Subjects with Hepatic Impairment.

Authors:  Ahmed Hamed Salem; Nimita Dave; Thomas Marbury; Beibei Hu; Dale Miles; Suresh K Agarwal; Orlando F Bueno; Rajeev M Menon
Journal:  Clin Pharmacokinet       Date:  2019-08       Impact factor: 6.447

2.  Bayesian Population Model of the Pharmacokinetics of Venetoclax in Combination with Rituximab in Patients with Relapsed/Refractory Chronic Lymphocytic Leukemia: Results from the Phase III MURANO Study.

Authors:  Rong Deng; Leonid Gibiansky; Tong Lu; Priya Agarwal; Hao Ding; Xiaobin Li; Smita Kshirsagar; Dan Lu; Chunze Li; Sandhya Girish; Jue Wang; Michelle Boyer; Kathryn Humphrey; Kevin J Freise; Ahmed Hamed Salem; John F Seymour; Arnon P Kater; Dale Miles
Journal:  Clin Pharmacokinet       Date:  2019-12       Impact factor: 6.447

3.  Effect of ketoconazole, a strong CYP3A inhibitor, on the pharmacokinetics of venetoclax, a BCL-2 inhibitor, in patients with non-Hodgkin lymphoma.

Authors:  Suresh K Agarwal; Ahmed Hamed Salem; Alexey V Danilov; Beibei Hu; Soham Puvvada; Martin Gutierrez; David Chien; Lionel D Lewis; Shekman L Wong
Journal:  Br J Clin Pharmacol       Date:  2017-01-18       Impact factor: 4.335

4.  The efficacy and safety of venetoclax therapy in elderly patients with relapsed, refractory chronic lymphocytic leukaemia.

Authors:  Toby A Eyre; Lindsey E Roeker; Christopher P Fox; Satyen H Gohill; Renata Walewska; Harriet S Walter; Francesco Forconi; Angus Broom; Arvind Arumainathan; Danielle M Brander; John N Allan; Stephen J Schuster; Brian T Hill; Frederick Lansigan; Bruce D Cheson; Nicole Lamanna; Catherine C Coombs; Paul M Barr; Alan P Skarbnik; Mazyar Shadman; Chaitra S Ujjani; Laurie Pearson; John M Pagel; Ryan Jacobs; Anthony R Mato
Journal:  Br J Haematol       Date:  2019-11-04       Impact factor: 6.998

5.  Utility of physiologically based pharmacokinetic (PBPK) modeling in oncology drug development and its accuracy: a systematic review.

Authors:  Teerachat Saeheng; Kesara Na-Bangchang; Juntra Karbwang
Journal:  Eur J Clin Pharmacol       Date:  2018-07-05       Impact factor: 2.953

6.  Dose adjustment of venetoclax when co-administered with posaconazole: clinical drug-drug interaction predictions using a PBPK approach.

Authors:  Sumit Bhatnagar; Dwaipayan Mukherjee; Ahmed Hamed Salem; Dale Miles; Rajeev M Menon; John P Gibbs
Journal:  Cancer Chemother Pharmacol       Date:  2021-01-04       Impact factor: 3.333

7.  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

8.  Quantitative Assessment of Elagolix Enzyme-Transporter Interplay and Drug-Drug Interactions Using Physiologically Based Pharmacokinetic Modeling.

Authors:  Manoj S Chiney; Juki Ng; John P Gibbs; Mohamad Shebley
Journal:  Clin Pharmacokinet       Date:  2020-05       Impact factor: 6.447

9.  PBPK modeling to predict drug-drug interactions of ivosidenib as a perpetrator in cancer patients and qualification of the Simcyp platform for CYP3A4 induction.

Authors:  Jayaprakasam Bolleddula; Alice Ke; Hua Yang; Chandra Prakash
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-05-01

Review 10.  Assessment of Vedolizumab Disease-Drug-Drug Interaction Potential in Patients With Inflammatory Bowel Diseases.

Authors:  Wan Sun; Richard A Lirio; Jennifer Schneider; Jiri Aubrecht; Harisha Kadali; Mike Baratta; Parul Gulati; Ajit Suri; Tiffany Lin; Raghavan Vasudevan; Maria Rosario
Journal:  Clin Pharmacol Drug Dev       Date:  2020-12-16
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