Literature DB >> 28618035

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

Babatunde Ayodeji Adeagbo1, Tiwalade Adewale Olugbade1, Muheez Alani Durosinmi2, Rahman Ayodele Bolarinwa2, Kayode Ogungbenro3, Oluseye Oladotun Bolaji1.   

Abstract

Imatinib, a tyrosine kinase inhibitor, is the drug of choice for the treatment of chronic myeloid leukemia in Nigeria. Several studies have established interindividual and interpopulation variations in imatinib disposition although no pharmacokinetic study have been conducted in an African population since the introduction of the drug. This study explored a population pharmacokinetic approach to investigate the disposition of imatinib in Nigerians and examined the involvement of some covariates including genetic factors in the variability of the drug disposition with a view to optimize the use of the drug in this population. A total of 250 plasma concentrations from 126 chronic myeloid leukemia patients were quantified using a validated method. A population pharmacokinetic model was fitted to the data using NONMEM VII software, and the influences of 12 covariates were investigated. The mean population-derived apparent steady-state clearance, elimination half-life, area under the concentration-time curve over 24 hours, and volume of distribution were 17.2 ± 1.8 L/h., 12.05 ± 2.1 hours, 23.26 ± 0.6 μg·h/mL, and 299 ± 20.4 L, respectively. Whole blood count, ethnicity, CYP3A5*3, and ABCB1 C3435T were found to have significant influence on the apparent clearance, while the interindividual variability in clearance and interoccasion variability in bioavailability were 17.4% and 20.4%, respectively. There was a wide variability in apparent clearance and area under the curve compared to those reported in other populations. Thus, treatment with a standard dose of imatinib in this population may not produce the desired effect in most of the patients, whereas continuous exposure to a low drug concentration could lead to pharmacokinetic-derived resistance. The authors suggest the need for therapeutic drug monitoring-guided dose individualization in this population.
© 2017, The American College of Clinical Pharmacology.

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Keywords:  ABCB1 C3435T; CYP3A5*3; chronic myeloid leukemia; genetic polymorphism; imatinib; population pharmacokinetics

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Year:  2017        PMID: 28618035     DOI: 10.1002/jcph.953

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


  5 in total

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

Authors:  Bharati Shriyan; Parsshava Mehta; Anand Patil; Shraddha Jadhav; Sharath Kumar; Apeksha S Puri; Ravina Govalkar; Manjunath Nookala Krishnamurthy; Sachin Punatar; Anant Gokarn; Navin Khattry; Vikram Gota
Journal:  Eur J Clin Pharmacol       Date:  2022-06-02       Impact factor: 3.064

2.  Early molecular response in East African Philadelphia chromosome-positive chronic myeloid leukaemia patients treated with Imatinib and barriers to access treatment.

Authors:  Oliver Henke; Priscus John Mapendo; Elifuraha Wilson Mkwizu; Philipp le Coutre
Journal:  Ecancermedicalscience       Date:  2020-08-18

3.  Population pharmacokinetic modelling of imatinib in healthy subjects receiving a single dose of 400 mg.

Authors:  Yi-Han Chien; Gudrun Würthwein; Pablo Zubiaur; Bianca Posocco; María Ángeles Pena; Alberto M Borobia; Sara Gagno; Francisco Abad-Santos; Georg Hempel
Journal:  Cancer Chemother Pharmacol       Date:  2022-07-14       Impact factor: 3.288

Review 4.  Role of Drug Transporters in Elucidating Inter-Individual Variability in Pediatric Chemotherapy-Related Toxicities and Response.

Authors:  Ashwin Kamath; Suresh Kumar Srinivasamurthy; Mukta N Chowta; Sheetal D Ullal; Youssef Daali; Uppugunduri S Chakradhara Rao
Journal:  Pharmaceuticals (Basel)       Date:  2022-08-11

Review 5.  Imatinib, sunitinib and pazopanib: From flat-fixed dosing towards a pharmacokinetically guided personalized dose.

Authors:  Kim Westerdijk; Ingrid M E Desar; Neeltje Steeghs; Winette T A van der Graaf; Nielka P van Erp
Journal:  Br J Clin Pharmacol       Date:  2020-01-21       Impact factor: 4.335

  5 in total

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