eIF3a rs3740556的A/G等位基因可预测肺癌患者对以铂类为基础的化疗耐药

The A/G allele of eIF3a rs3740556 predicts platinum-based chemotherapy resistance in lung cancer patients
作者:Xu, X.a, Han, L.a, Yang, H.b, Duan, L.c, Zhou, B.d
机构: 中南大学遗传药理学湖南省重点实验室 临床药理学研究所
期刊: LUNG CANCER2013年1月1期79卷

Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsham Hunan Province 410078, China

eIF3a is the largest subunit of eukaryotic translation initiation factor 3, which has been suggested to affect tumor progression and activity of nucleotide excision repair pathway contributing to platinum resistance. The purpose of this study was to investigate possible mutations in promoter and exon regions of eIF3a gene and to assess whether eIF3a mutation status have prognostic and predictive significance in platinum-based chemotherapeutic lung cancer patients. 771 lung cancer patients were enrolled and followed up. These patients were newly diagnosed with incident lung cancer, which was confirmed histologically or cytologically, and accepted platinum-based chemotherapy for at least two cycles. Three novel mutations of eIF3a were found, including 11279G > A in intron 6, Arg438Lys in exon 9, 29671G > A in intron 15, with minor allele frequency of 0.16, 0.18, 0.16, respectively. A-carrier patients of rs3740556 conferred a significantly better platinum-based chemotherapy response (p<0.05) and seemed to live longer. eIF3a genetic polymorphisms can be considered as predictive tools for pretreatment evaluation of platinum-based chemotherapy. Lung cancer patients carrying rs3740556 A allele tended to have a favorable prognosis after treatment with platinum-based chemotherapy. © 2012 Elsevier Ireland Ltd.

Liu, Z.; Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsham Hunan Province 410078, China; email:liuzhaoqian@csu.edu.cn

通讯作者:Liu, Z.; Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsham Hunan Province 410078, China; email:liuzhaoqian@csu.edu.cn
学科代码:呼吸病学   关键词:EIF3a_rs3740556_AG_allele
来源: Scopus
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