Literature DB >> 19584153

Clinical relevance of a pharmacogenetic approach using multiple candidate genes to predict response and resistance to imatinib therapy in chronic myeloid leukemia.

Dong Hwan Dennis Kim1, Lakshmi Sriharsha, Wei Xu, Suzanne Kamel-Reid, Xiangdong Liu, Katherine Siminovitch, Hans A Messner, Jeffrey H Lipton.   

Abstract

PURPOSE: Imatinib resistance is major cause of imatinib mesylate (IM) treatment failure in chronic myeloid leukemia (CML) patients. Several cellular and genetic mechanisms of imatinib resistance have been proposed, including amplification and overexpression of the BCR/ABL gene, the tyrosine kinase domain point mutations, and MDR1 gene overexpression. EXPERIMENTAL
DESIGN: We investigated the impact of 16 single nucleotide polymorphisms (SNP) in five genes potentially associated with pharmacogenetics of IM, namely ABCB1, multidrug resistance 1; ABCG2, breast-cancer resistance protein; CYP3A5, cytochrome P450-3A5; SLC22A1, human organic cation transporter 1; and AGP, alpha1-acid glycoprotein. The DNAs from peripheral blood samples in 229 patients were genotyped.
RESULTS: The GG genotype in ABCG2 (rs2231137), AA genotype in CYP3A5 (rs776746), and advanced stage were significantly associated with poor response to IM especially for major or complete cytogenetic response, whereas the GG genotype at SLC22A1 (rs683369) and advanced stage correlated with high rate of loss of response or treatment failure to IM therapy.
CONCLUSIONS: We showed that the treatment outcomes of imatinib therapy could be predicted using a novel, multiple candidate gene approach based on the pharmacogenetics of IM.

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Year:  2009        PMID: 19584153     DOI: 10.1158/1078-0432.CCR-09-0145

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  61 in total

1.  PharmGKB summary: very important pharmacogene information for SLC22A1.

Authors:  Srijib Goswami; Li Gong; Kathleen Giacomini; Russ B Altman; Teri E Klein
Journal:  Pharmacogenet Genomics       Date:  2014-06       Impact factor: 2.089

2.  Genetic polymorphisms of metabolic enzymes and the pharmacokinetics of indapamide in Taiwanese subjects.

Authors:  Teng-Hsu Wang; Cheng-Huei Hsiong; Hsin-Tien Ho; Tung-Yuan Shih; San-Jan Yen; Hui-Hung Wang; Jer-Yuarn Wu; Benjamin Pei-Chung Kuo; Yuan-Tsong Chen; Shung-Tai Ho; Oliver Yoa-Pu Hu
Journal:  AAPS J       Date:  2013-12-20       Impact factor: 4.009

3.  Berbamine overcomes imatinib-induced neutropenia and permits cytogenetic responses in Chinese patients with chronic-phase chronic myeloid leukemia.

Authors:  Yanmin Zhao; Yamin Tan; Gongqiang Wu; Lizhen Liu; Yingjia Wang; Yi Luo; Jimin Shi; He Huang
Journal:  Int J Hematol       Date:  2011-07-05       Impact factor: 2.490

4.  Polymorphisms of ERCC1 genotype associated with response to imatinib therapy in chronic phase chronic myeloid leukemia.

Authors:  Jee Hyun Kong; Yeung-Chul Mun; Seonwoo Kim; Hang Seok Choi; Yeo-Kyeoung Kim; Hyeoung-Joon Kim; Joon Ho Moon; Sang Kyun Sohn; Sung-Hyun Kim; Chul Won Jung; Dong Hwan Dennis Kim
Journal:  Int J Hematol       Date:  2012-07-21       Impact factor: 2.490

5.  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 6.  Role of breast cancer resistance protein (BCRP/ABCG2) in cancer drug resistance.

Authors:  Karthika Natarajan; Yi Xie; Maria R Baer; Douglas D Ross
Journal:  Biochem Pharmacol       Date:  2012-01-11       Impact factor: 5.858

7.  Whole-genome studies identify solute carrier transporters in cellular susceptibility to paclitaxel.

Authors:  Uchenna O Njiaju; Eric R Gamazon; Lidija K Gorsic; Shannon M Delaney; Heather E Wheeler; Hae Kyung Im; M Eileen Dolan
Journal:  Pharmacogenet Genomics       Date:  2012-07       Impact factor: 2.089

8.  Risk stratification of organ-specific GVHD can be improved by single-nucleotide polymorphism-based risk models.

Authors:  D Kim; H-H Won; S Su; L Cheng; W Xu; N Hamad; J Uhm; V Gupta; J Kuruvilla; H A Messner; J H Lipton
Journal:  Bone Marrow Transplant       Date:  2014-03-03       Impact factor: 5.483

9.  Reduced ABCG2 and increased SLC22A1 mRNA expression are associated with imatinib response in chronic myeloid leukemia.

Authors:  Luciene Terezina de Lima; Douglas Vivona; Carolina Tosin Bueno; Rosario D C Hirata; Mario H Hirata; André D Luchessi; Fabíola Attié de Castro; Maria de Lourdes F Chauffaille; Maria A Zanichelli; Carlos S Chiattone; Vania T M Hungria; Elvira M Guerra-Shinohara
Journal:  Med Oncol       Date:  2014-01-29       Impact factor: 3.064

Review 10.  Clinical pharmacology of axitinib.

Authors:  Ying Chen; Michael A Tortorici; May Garrett; Brian Hee; Karen J Klamerus; Yazdi K Pithavala
Journal:  Clin Pharmacokinet       Date:  2013-09       Impact factor: 6.447

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