Literature DB >> 35652931

Role of ADME gene polymorphisms on imatinib disposition: results from a population pharmacokinetic study in chronic myeloid leukaemia.

Bharati Shriyan1, Parsshava Mehta1, Anand Patil1, Shraddha Jadhav1, Sharath Kumar1, Apeksha S Puri1, Ravina Govalkar1,2, Manjunath Nookala Krishnamurthy1,3, Sachin Punatar4,3, Anant Gokarn4,3, Navin Khattry4,3, Vikram Gota5,6.   

Abstract

PURPOSE: Imatinib is a substrate of CYP3A4, ABCB1 and ABCG2, and is known to have wide variability in pharmacokinetics (PK). At the same time, a clear relationship between drug levels and response also exists for imatinib in chronic myeloid leukaemia (CML). Therefore, pharmacogenetic-based dosing of imatinib is an attractive proposition. This study aims to characterize the population pharmacokinetics of imatinib in order to identify significant covariates including pharmacogenetic variants.
METHODS: Forty-nine patients with CML were enrolled in the study after being on imatinib for at least 4 consecutive weeks. Steady-state pharmacokinetic sampling was performed either in a sparse (4 samples each, n = 44) or intensive manner (9 samples each, n = 5). An additional pharmacogenetic sample was also collected from all patients. Plasma imatinib levels were estimated using a validated HPLC method. Pharmacogenetic variants were identified using the PharmacoScan array platform. Population pharmacokinetic analysis was carried out using NONMEM v7.2. Seven SNPs within CYP3A4, ABCB1 and ABCG2 genes were evaluated for covariate effect on the clearance of imatinib.
RESULTS: Imatinib PK was well characterized using a one-compartment model with zero-order absorption. The clearance and volume of distribution were found to be 10.2 L/h and 389 L respectively. Only SNP rs1128503 of the ABCB1 gene had a small but insignificant effect on imatinib clearance, with a 25% reduction in clearance observed in patients carrying the polymorphism. Twenty-three out of forty-nine patients (47%) carried the polymorphic allele, of whom 17 were heterozygous and six were homozygous.
CONCLUSION: Our study conclusively proves that genetic polymorphisms in the CYP3A4 and ABC family of transporters do not have any role in the personalized dosing of imatinib in CML.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  ADME; Imatinib; Pharmacogenetics; Pharmacokinetics; Population pharmacokinetics

Mesh:

Substances:

Year:  2022        PMID: 35652931     DOI: 10.1007/s00228-022-03345-8

Source DB:  PubMed          Journal:  Eur J Clin Pharmacol        ISSN: 0031-6970            Impact factor:   3.064


  27 in total

1.  Population Pharmacokinetics of Imatinib in Nigerians With Chronic Myeloid Leukemia: Clinical Implications for Dosing and Resistance.

Authors:  Babatunde Ayodeji Adeagbo; Tiwalade Adewale Olugbade; Muheez Alani Durosinmi; Rahman Ayodele Bolarinwa; Kayode Ogungbenro; Oluseye Oladotun Bolaji
Journal:  J Clin Pharmacol       Date:  2017-06-15       Impact factor: 3.126

2.  Population Pharmacokinetic Analysis of the Oral Absorption Process and Explaining Intra-Subject Variability in Plasma Exposures of Imatinib in Healthy Volunteers.

Authors:  Ali-Akbar Golabchifar; Saeed Rezaee; Nahid Mobarghei Dinan; Abbas Kebriaeezadeh; Mohammad-Reza Rouini
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2016-10       Impact factor: 2.441

3.  Trough imatinib plasma levels are associated with both cytogenetic and molecular responses to standard-dose imatinib in chronic myeloid leukemia.

Authors:  Stephane Picard; Karine Titier; Gabriel Etienne; Emmanuelle Teilhet; Dominique Ducint; Marie-Agnes Bernard; Regis Lassalle; Gerald Marit; Josy Reiffers; Bernard Begaud; Nicholas Moore; Mathieu Molimard; Francois-Xavier Mahon
Journal:  Blood       Date:  2006-12-27       Impact factor: 22.113

4.  Trough concentration and ABCG2 polymorphism are better to predict imatinib response in chronic myeloid leukemia: a meta-analysis.

Authors:  Zhi-Ping Jiang; Xie-Lan Zhao; Naoto Takahashi; Sabrina Angelini; Biswajit Dubashi; Li Sun; Ping Xu
Journal:  Pharmacogenomics       Date:  2016-12-19       Impact factor: 2.533

5.  Efficacy and safety of a specific inhibitor of the BCR-ABL tyrosine kinase in chronic myeloid leukemia.

Authors:  B J Druker; M Talpaz; D J Resta; B Peng; E Buchdunger; J M Ford; N B Lydon; H Kantarjian; R Capdeville; S Ohno-Jones; C L Sawyers
Journal:  N Engl J Med       Date:  2001-04-05       Impact factor: 91.245

6.  Imatinib disposition and ABCB1 (MDR1, P-glycoprotein) genotype.

Authors:  H Gurney; M Wong; R L Balleine; L P Rivory; A J McLachlan; J M Hoskins; N Wilcken; C L Clarke; G J Mann; M Collins; S-E Delforce; K Lynch; H Schran
Journal:  Clin Pharmacol Ther       Date:  2007-05-09       Impact factor: 6.875

7.  Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for Dihydropyrimidine Dehydrogenase Genotype and Fluoropyrimidine Dosing: 2017 Update.

Authors:  Ursula Amstutz; Linda M Henricks; Steven M Offer; Julia Barbarino; Jan H M Schellens; Jesse J Swen; Teri E Klein; Howard L McLeod; Kelly E Caudle; Robert B Diasio; Matthias Schwab
Journal:  Clin Pharmacol Ther       Date:  2017-11-20       Impact factor: 6.875

8.  Extensions to the visual predictive check to facilitate model performance evaluation.

Authors:  Teun M Post; Jan I Freijer; Bart A Ploeger; Meindert Danhof
Journal:  J Pharmacokinet Pharmacodyn       Date:  2008-01-16       Impact factor: 2.745

9.  Imatinib pharmacokinetics and its correlation with response and safety in chronic-phase chronic myeloid leukemia: a subanalysis of the IRIS study.

Authors:  Richard A Larson; Brian J Druker; Francois Guilhot; Stephen G O'Brien; Gilles J Riviere; Tillmann Krahnke; Insa Gathmann; Yanfeng Wang
Journal:  Blood       Date:  2008-02-06       Impact factor: 22.113

10.  Testing for Hardy-Weinberg equilibrium at biallelic genetic markers on the X chromosome.

Authors:  J Graffelman; B S Weir
Journal:  Heredity (Edinb)       Date:  2016-04-13       Impact factor: 3.821

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