Literature DB >> 24748562

The metabolic drug-drug interaction profile of Dabrafenib: in vitro investigations and quantitative extrapolation of the P450-mediated DDI risk.

Sarah K Lawrence1, Dung Nguyen1, Chet Bowen1, Lauren Richards-Peterson1, Konstantine W Skordos2.   

Abstract

Dabrafenib is a potent ATP-competitive inhibitor for the V600 mutant b-rapidly accelerated fibrosarcoma (b-raf) kinase currently approved in the United States for the treatment of metastatic melanoma. Studies were conducted in human liver microsomes, recombinant human cytochrome P450 (P450) enzymes, and human hepatocytes to investigate the potential of dabrafenib and its major circulating metabolites to perpetrate pharmacokinetic drug-drug interactions (DDIs) as well as have their own pharmacokinetics affected (victim) by coadministered drugs. Dabrafenib metabolism was mediated by CYP2C8 (56% to 67%) and CYP3A4 (24%); in addition, it has demonstrated inhibition of CYP2C8, 2C9, 2C19, 3A4 (atorvastatin), and (nifedipine), with calculated IC50 values of 8.2, 7.2, 22.4, 16, and 32 μM. It also demonstrated metabolism-dependent inhibition of CYP3A4 with a maximal inactivation rate constant of 0.040 minute(-1) and a concentration required to achieve half-maximal inactivation for CYP3A4 of 38 μM. Hydroxy-dabrafenib inhibited CYP1A2, 2C9, and 3A4 (midazolam) with calculated IC50 values of 83, 29, and 44 μM, and carboxy-dabrafenib did not inhibit any of the P450 enzymes tested. Desmethyl-dabrafenib inhibited CYP2B6, 2C8, 2C9, 2C19, and 3A4 (midazolam, atorvastatin, and nifedipine) with calculated IC50 values of 78, 47, 6.3, 36, 17, 20, and 28 μM, respectively. At 30 μM dabrafenib showed increases in CYP2B6 and CYP3A4 mRNA expression indicative of induction. The potential clinical relevance of these findings was explored by using mechanistic static mathematical models to estimate the magnitude of change (area under the curve change) as a result of P450-mediated DDI interactions. This risk-assessment approach indicated that dabrafenib is unlikely to perpetrate any in vivo DDIs by inhibition mechanisms, but is a likely inducer of CYP3A4 and a victim of CYP3A4 and CYP2C8 inhibitors. Furthermore, inclusion of the in vitro drug interaction data for dabrafenib metabolites did not impact the overall clinical risk assessment.
Copyright © 2014 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2014        PMID: 24748562     DOI: 10.1124/dmd.114.057778

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


  18 in total

Review 1.  Dabrafenib plus Trametinib: a Review in Advanced Melanoma with a BRAF (V600) Mutation.

Authors:  Sohita Dhillon
Journal:  Target Oncol       Date:  2016-06       Impact factor: 4.493

Review 2.  Clinical Pharmacokinetics and Pharmacodynamics of Dabrafenib.

Authors:  Alicja Puszkiel; Gaëlle Noé; Audrey Bellesoeur; Nora Kramkimel; Marie-Noëlle Paludetto; Audrey Thomas-Schoemann; Michel Vidal; François Goldwasser; Etienne Chatelut; Benoit Blanchet
Journal:  Clin Pharmacokinet       Date:  2019-04       Impact factor: 6.447

Review 3.  Clinical Pharmacokinetic and Pharmacodynamic Considerations in the (Modern) Treatment of Melanoma.

Authors:  Hannah Yejin Kim; Parth J Upadhyay; Alia Fahmy; Xiaoman Liu; Janna K Duong; Alan V Boddy
Journal:  Clin Pharmacokinet       Date:  2019-08       Impact factor: 6.447

4.  Prediction of Drug-Drug Interaction Between Dabrafenib and Irinotecan via UGT1A1-Mediated Glucuronidation.

Authors:  Zhe Wang; Xiaoyu Wang; Zhen Wang; Xiaoyu Fan; Mingrui Yan; Lili Jiang; Yangliu Xia; Jun Cao; Yong Liu
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2022-02-11       Impact factor: 2.441

5.  Herb-drug interaction between irinotecan and psoralidin-containing herbs.

Authors:  Xi-Shan Zhang; Zhi-Qiang Zhao; Zhen-Sheng Qin; Kun Wu; Tian-Fang Xia; Li-Qun Pang
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2014-09-13       Impact factor: 2.441

6.  Simple and cost-effective liquid chromatography-mass spectrometry method to measure dabrafenib quantitatively and six metabolites semi-quantitatively in human plasma.

Authors:  Svante Vikingsson; Jan-Olof Dahlberg; Johan Hansson; Veronica Höiom; Henrik Gréen
Journal:  Anal Bioanal Chem       Date:  2017-04-20       Impact factor: 4.142

7.  An Extensively Humanized Mouse Model to Predict Pathways of Drug Disposition and Drug/Drug Interactions, and to Facilitate Design of Clinical Trials.

Authors:  C J Henderson; Y Kapelyukh; N Scheer; A Rode; A W McLaren; A K MacLeod; D Lin; J Wright; L A Stanley; C R Wolf
Journal:  Drug Metab Dispos       Date:  2019-03-25       Impact factor: 3.922

8.  The Anti-Cancer Drug Dabrafenib Is a Potent Activator of the Human Pregnane X Receptor.

Authors:  Nicolas Creusot; Matthieu Gassiot; Elina Alaterre; Barbara Chiavarina; Marina Grimaldi; Abdelhay Boulahtouf; Lucia Toporova; Sabine Gerbal-Chaloin; Martine Daujat-Chavanieu; Alice Matheux; Roger Rahmani; Céline Gongora; Alexandre Evrard; Philippe Pourquier; Patrick Balaguer
Journal:  Cells       Date:  2020-07-08       Impact factor: 6.600

Review 9.  Combination therapy for metastatic melanoma: a pharmacist's role, drug interactions & complementary alternative therapies.

Authors:  Gabriel Gazzé
Journal:  Melanoma Manag       Date:  2018-06-19

Review 10.  The Role of CYP450 Drug Metabolism in Precision Cardio-Oncology.

Authors:  Olubadewa A Fatunde; Sherry-Ann Brown
Journal:  Int J Mol Sci       Date:  2020-01-17       Impact factor: 5.923

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