Literature DB >> 20720558

Influence of CYP3A5 and drug transporter polymorphisms on imatinib trough concentration and clinical response among patients with chronic phase chronic myeloid leukemia.

Naoto Takahashi1, Masatomo Miura, Stuart A Scott, Hideaki Kagaya, Yoshihiro Kameoka, Hiroyuki Tagawa, Hirobumi Saitoh, Naohito Fujishima, Tomoko Yoshioka, Makoto Hirokawa, Kenichi Sawada.   

Abstract

Imatinib mesylate (IM) trough concentration varies among IM-treated chronic myeloid leukemia (CML) patients. Although IM pharmacokinetics is influenced by several enzymes and transporters, little is known about the role of pharmacogenetic variation in IM metabolism. In this study, associations between IM trough concentration, clinical response and 11 single-nucleotide polymorphisms in genes involved in IM pharmacokinetics (ABCB1, ABCC2, ABCG2 CYP3A5, SLC22A1 and SLCO1B3) were investigated among 67 Japanese chronic phase CML patients. IM trough concentration was significantly higher in patients with a major molecular response than in those without one (P=0.010). No significant correlations between IM trough concentration and age, weight, body mass index or biochemical data were observed. However, the dose-adjusted IM trough concentration was significantly higher in patients with ABCG2 421A than in those with 421C/C (P=0.015). By multivariate regression analysis, only ABCG2 421A was independently predictive of a higher dose-adjusted IM trough concentration (P=0.015). Moreover, previous studies have shown that the ABCG2 421C>A (p.Q141K) variant is prevalent among Japanese and Han Chinese individuals and less common among Africans and Caucasians. Together, these data indicate that plasma IM concentration monitoring and prospective ABCG2 421C>A genotyping may improve the efficacy of IM therapy, particularly among Asian CML patients.

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Year:  2010        PMID: 20720558     DOI: 10.1038/jhg.2010.98

Source DB:  PubMed          Journal:  J Hum Genet        ISSN: 1434-5161            Impact factor:   3.172


  46 in total

Review 1.  Correlations between imatinib pharmacokinetics, pharmacodynamics, adherence, and clinical response in advanced metastatic gastrointestinal stromal tumor (GIST): an emerging role for drug blood level testing?

Authors:  Margaret von Mehren; Nicolas Widmer
Journal:  Cancer Treat Rev       Date:  2010-11-24       Impact factor: 12.111

2.  Plasma exposure of imatinib and its correlation with clinical response in the Tyrosine Kinase Inhibitor Optimization and Selectivity Trial.

Authors:  François Guilhot; Timothy P Hughes; Jorge Cortes; Brian J Druker; Michele Baccarani; Insa Gathmann; Michael Hayes; Camille Granvil; Yanfeng Wang
Journal:  Haematologica       Date:  2012-02-07       Impact factor: 9.941

3.  A multicenter clinical study evaluating the confirmed complete molecular response rate in imatinib-treated patients with chronic phase chronic myeloid leukemia by using the international scale of real-time quantitative polymerase chain reaction.

Authors:  Yoshinori Shinohara; Naoto Takahashi; Kaichi Nishiwaki; Masayuki Hino; Makoto Kashimura; Hisashi Wakita; Yoshiaki Hatano; Akira Hirasawa; Yasuaki Nakagawa; Kuniaki Itoh; Hidekazu Masuoka; Nobuyuki Aotsuka; Yasuhiro Matsuura; Sinobu Takahara; Koji Sano; Jun Kuroki; Tomoko Hata; Hirohisa Nakamae; Atsuko Mugitani; Takahiko Nakane; Yasushi Miyazaki; Takenori Niioka; Masatomo Miura; Kenichi Sawada
Journal:  Haematologica       Date:  2013-05-28       Impact factor: 9.941

4.  Genetic polymorphisms as predictive biomarker of survival in patients with gastrointestinal stromal tumors treated with sunitinib.

Authors:  J S L Kloth; M C Verboom; J J Swen; T van der Straaten; S Sleijfer; A K L Reyners; N Steeghs; H Gelderblom; H J Guchelaar; R H J Mathijssen
Journal:  Pharmacogenomics J       Date:  2017-01-24       Impact factor: 3.550

5.  Long-term outcome following imatinib therapy for chronic myelogenous leukemia, with assessment of dosage and blood levels: the JALSG CML202 study.

Authors:  Kazunori Ohnishi; Chiaki Nakaseko; Jin Takeuchi; Shin Fujisawa; Tadashi Nagai; Hirohito Yamazaki; Tetsuzo Tauchi; Kiyotoshi Imai; Naoki Mori; Fumiharu Yagasaki; Yasuhiro Maeda; Noriko Usui; Yasushi Miyazaki; Koichi Miyamura; Hitoshi Kiyoi; Shigeki Ohtake; Tomoki Naoe
Journal:  Cancer Sci       Date:  2012-04-16       Impact factor: 6.716

Review 6.  ABCG2 inhibition as a therapeutic approach for overcoming multidrug resistance in cancer.

Authors:  Maryam Hosseini Hasanabady; Fatemeh Kalalinia
Journal:  J Biosci       Date:  2016-06       Impact factor: 1.826

7.  Genetic variations in influx transporter gene SLC22A1 are associated with clinical responses to imatinib mesylate among Malaysian chronic myeloid leukaemia patients.

Authors:  Siti Maziras Makhtar; Azlan Husin; Abdul Aziz Baba; Ravindran Ankathil
Journal:  J Genet       Date:  2018-09       Impact factor: 1.166

Review 8.  Renal Drug Transporters and Drug Interactions.

Authors:  Anton Ivanyuk; Françoise Livio; Jérôme Biollaz; Thierry Buclin
Journal:  Clin Pharmacokinet       Date:  2017-08       Impact factor: 6.447

9.  Fine Mapping and Functional Analysis Reveal a Role of SLC22A1 in Acylcarnitine Transport.

Authors:  Hye In Kim; Johannes Raffler; Wenyun Lu; Jung-Jin Lee; Deepti Abbey; Danish Saleheen; Joshua D Rabinowitz; Michael J Bennett; Nicholas J Hand; Christopher Brown; Daniel J Rader
Journal:  Am J Hum Genet       Date:  2017-09-21       Impact factor: 11.025

10.  Influence of Sokal, Hasford, EUTOS scores and pharmacogenetic factors on the complete cytogenetic response at 1 year in chronic myeloid leukemia patients treated with imatinib.

Authors:  Jose Francis; Biswajit Dubashi; Rajan Sundaram; Suresh Chandra Pradhan; Adithan Chandrasekaran
Journal:  Med Oncol       Date:  2015-07-05       Impact factor: 3.064

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