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首页> 外文期刊>Molecular diagnosis & therapy >Pharmacogenetic influence of GST polymorphisms on anthracycline-based chemotherapy responses and toxicity in breast cancer patients: A multi-analytical approach
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Pharmacogenetic influence of GST polymorphisms on anthracycline-based chemotherapy responses and toxicity in breast cancer patients: A multi-analytical approach

机译:GST基因多态性对基于蒽环类药物的乳腺癌化疗反应和毒性的药物遗传学影响:多种分析方法

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摘要

Background and Objective: Chemotherapeutic drug treatment outcomes are genetically determined. Polymorphisms in genes encoding phase II drug metabolizing enzyme glutathione-S-transferase (GST) can possibly predict treatment outcomes, and can be of prognostic significance in breast cancer patients. The aim of this study was to determine the role of genetic variations in GST in predicting response to, and toxicity of, anthracycline-based chemotherapy in breast cancer patients. Method: Two hundred and seven patients treated with anthracycline-based chemotherapy were genotyped for GSTM1 and GSTT1 deletion polymorphisms, and GSTP1 Ile105Val (rs1695), by polymerase chain reaction (PCR)/ PCR-restriction fragment length polymorphism (RFLP). Genetic variations were correlated with tumor response to neo-adjuvant chemotherapy (NACT) in 100 patients, and with chemo-toxicity in 207 who received adjuvant chemotherapy or NACT, using Chi-square and logistic regression. Higher order gene-gene interactions with treatment outcomes were characterized by multifactor dimensionality reduction (MDR) analysis. Results: In single-locus analysis, Ile/Val and Ile/Val + Val/Val genotypes of the GSTP1 Ile 105Val (rs1695) polymorphism reached statistical significance with grade 2-4 anemia (P = 0.019, P = 0.027). On performing gene-gene interaction analysis, GSTM1 null-GSTP1 Ile/Val was significantly associated with response to NACT (P = 0.032). On evaluating higher order gene-gene interaction models by MDR analysis, GSTM1 and GSTP1 Ile105Val; GSTM1 and GSTT1; and GSTT1 and GSTP1 Ile105Val showed significant association with treatment response, grade 2-4 anemia, and dose delay/reduction due to neutropenia (P = 0.046, P = 0.027, P = 0.026), respectively. Conclusion: Multi-analytical strategies may serve as a better tool for characterization of pharmacogenetic-based breast cancer treatment outcomes.
机译:背景与目的:化学治疗药物的治疗结果由基因决定。编码II期药物代谢酶谷胱甘肽S-转移酶(GST)的基因中的多态性可以预测治疗结果,并且对乳腺癌患者具有预后意义。这项研究的目的是确定GST中遗传变异在预测蒽环类基于化疗的乳腺癌患者的反应和毒性中的作用。方法:采用聚合酶链反应(PCR)/ PCR-限制性片段长度多态性(RFLP)对207例以蒽环类为基础的化疗患者进行GSTM1和GSTT1缺失多态性和GSTP1 Ile105Val(rs1695)基因型分型。使用卡方和对数回归,遗传变异与100例患者对新辅助化疗(NACT)的肿瘤反应以及207例接受辅助化疗或NACT的化学毒性相关。高阶基因-基因相互作用与治疗结果的特征在于多因素降维(MDR)分析。结果:在单基因座分析中,GSTP1 Ile 105Val(rs1695)多态性的Ile / Val和Ile / Val和Ile / Val + Val / Val基因型在2-4级贫血中具有统计学意义(P = 0.019,P = 0.027)。在进行基因-基因相互作用分析时,GSTM1 null-GSTP1 Ile / Val与NACT反应显着相关(P = 0.032)。通过MDR分析,GSTM1和GSTP1 Ile105Val评估高阶基因-基因相互作用模型; GSTM1和GSTT1; GSTT1和GSTP1 Ile105Val分别与治疗反应,2-4级贫血和中性粒细胞减少症引起的剂量延迟/减少显着相关(P = 0.046,P = 0.027,P = 0.026)。结论:多种分析策略可能是表征基于药物遗传学的乳腺癌治疗结果的更好工具。

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