Literature DB >> 18556438

Identification of the human enzymes involved in the oxidative metabolism of dasatinib: an effective approach for determining metabolite formation kinetics.

Lifei Wang1, Lisa J Christopher, Donghui Cui, Wenying Li, Ramaswamy Iyer, W Griffith Humphreys, Donglu Zhang.   

Abstract

N-(2-Chloro-6-methylphenyl)-2-[[6-[4-(2-hydroxyethyl)-1-piperazinyl]-2-methyl-4-pyrimidinyl]amino]-5-thiazolecarboxamide (dasatinib, Sprycel, BMS-354825; Bristol-Myers Squibb, Princeton, NJ) is a potent protein kinase inhibitor to treat chronic myeloid leukemia. In vivo studies have shown that the primary oxidative metabolites of dasatinib are M4 (N-dealkylation), M5 (N-oxidation), M6 (carboxylic acid formation), M20, and M24 (hydroxylation). To identify the enzymes responsible for the formation of these metabolites, [(14)C]-dasatinib and nonradiolabeled dasatinib were incubated with human cDNA-expressed enzymes [cytochromes P450 (P450s) and flavin-containing monooxygenase (FMO) 3] or human liver microsome (HLM) in the presence of selective P450 inhibitors (antibodies and chemical inhibitors). The results of these experiments showed that metabolites M4, M20, and M24 were mainly generated by CYP3A4; M5 was primarily formed by FMO3; and M6 was formed by a cytosolic oxidoreductase. The enzyme kinetic analysis showed that the formation of M4 and M5 in HLM followed the Michaelis-Menten kinetics, and the formation data of M20 and M24 fitted well to a partial substrate inhibition kinetic model. The K(m) values were determined by the kinetic analysis of the substrate-dependent metabolite formation plots from a large number of incubations with the nonlabeled dasatinib; the V(max) values were calculated with the predetermined K(m) values and the metabolite formation rates from a limited number of incubations with [(14)C]dasatinib. The intrinsic formation clearance values (V(max)/K(m)) of 52, 14, 274, and 20 microl/mg protein/min for the formation of M4, M5, M20, and M24, respectively, suggested that the formation of M20 was more efficient than other metabolites. Collectively, multiple in vitro experiments showed that dasatinib was predominately metabolized by CYP3A4.

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Year:  2008        PMID: 18556438     DOI: 10.1124/dmd.107.020255

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


  27 in total

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2.  Role of CYP3A4 in bone marrow microenvironment-mediated protection of FLT3/ITD AML from tyrosine kinase inhibitors.

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Review 3.  Metabolism considerations for kinase inhibitors in cancer treatment.

Authors:  Derek R Duckett; Michael D Cameron
Journal:  Expert Opin Drug Metab Toxicol       Date:  2010-10       Impact factor: 4.481

4.  Characterization of human flavin-containing monooxygenase (FMO) 3 and FMO5 expressed as maltose-binding protein fusions.

Authors:  Robert R Reddy; Erik C Ralph; Meike S Motika; Jun Zhang; John R Cashman
Journal:  Drug Metab Dispos       Date:  2010-09-01       Impact factor: 3.922

5.  Contribution of ABCC4-mediated gastric transport to the absorption and efficacy of dasatinib.

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6.  Dosimetry of 18F-labeled tyrosine kinase inhibitor SKI-249380, a dasatinib-tracer for PET imaging.

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7.  Population Pharmacokinetics of Sulindac and Genetic Polymorphisms of FMO3 and AOX1 in Women with Preterm Labor.

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9.  Characterization of dasatinib and its structural analogs as CYP3A4 mechanism-based inactivators and the proposed bioactivation pathways.

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Journal:  Drug Metab Dispos       Date:  2009-03-12       Impact factor: 3.922

Review 10.  Clinical profile of dasatinib in Asian and non-Asian patients with chronic myeloid leukemia.

Authors:  Dong-Wook Kim; Yeow-Tee Goh; Hui-Hua Hsiao; Priscilla B Caguioa; Dongho Kim; Wan-Seok Kim; Tapan Saikia; Shruti Agrawal; Amit Roy; David Dai; M Brigid Bradley-Garelik; Jaydip Mukhopadhyay; Saengsuree Jootar
Journal:  Int J Hematol       Date:  2009-05-20       Impact factor: 2.490

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