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Influence of ABCB1 genetic variants in breast cancer treatment outcomes

机译:ABCB1基因变异对乳腺癌治疗结果的影响

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Background: Transportation of anticancer drugs such as anthracyclines across the membrane is regulated by P-glycoprotein encoded by the human multidrug resistance gene 1 (ABCB1). Polymorphisms in the ABCB1 gene (1236C > T, 2677G > T/A, 3435C > T) have been found to be associated with intrinsic and acquired cross resistance to these anticancer drugs. Therefore, the aim of this study is to evaluate the influence of ABCB1 gene polymorphisms in breast cancer treatment outcomes in terms of response and toxicity. Method: Response to neo-adjuvant chemotherapy was evaluated in 100 patients while grade 2-4 toxicity was followed in 207 patients, who had undergone FEC/FAC chemotherapy. Genotyping for ABCB1 polymorphisms was done by PCR-RFLP. Chi square and logistic regression analyses were used to calculate Odd's ratio using SPSS ver 17.0. A meta analysis was also performed using Comprehensive Meta Analysis Ver 2. Results: In response evaluation, 1236C > T polymorphism was significantly associated with treatment response for CT genotype [OR = 5.17(1.3-20.2), P= 0.018] and in dominant model (CC vs CT + TT) [OR = 4.63(1.25-17.0), P= 0.021]. In the toxicity group, the T allele of 1236C>T was associated with grade 2-4 tocxicity [OR 1.48(1.00-2.20), P= 0.049] and the association was also significant in the recessive model [OR 1.88(1.05-3.39), P= 0.033]. For other two SNPs 2677G>T/A and 3435C>T no association was seen with either treatment response or grade 2-4 toxicity. In meta analysis, no overall association was found. Conclusion: In our study, significant association was seen for ABCB1 1236C>T polymorphism with treatment response. The meta analysis did not show overall association with treatment outcomes.
机译:背景:抗癌药(如蒽环类药物)在膜上的运输受人类多药耐药基因1(ABCB1)编码的P-糖蛋白的调节。已发现ABCB1基因的多态性(1236C> T,2677G> T / A,3435C> T)与对这些抗癌药物的固有和获得的交叉耐药性相关。因此,本研究的目的是评估ABCB1基因多态性在反应和毒性方面对乳腺癌治疗结果的影响。方法:评估了100例患者对新辅助化疗的反应,并对207例接受FEC / FAC化疗的患者进行了2-4级毒性反应。通过PCR-RFLP对ABCB1多态性进行基因分型。卡方和逻辑回归分析用于使用SPSS ver 17.0计算奇数比。还使用综合Meta Analysis版本2进行了荟萃分析。结果:在反应评估中,1236C> T多态性与CT基因型[OR = 5.17(1.3-20.2),P = 0.018]和显性模型的治疗反应显着相关(CC vs CT + TT)[OR = 4.63(1.25-17.0),P = 0.021]。在毒性组中,1236C> T的T等位基因与2-4级毒性相关[OR 1.48(1.00-2.20),P = 0.049],并且在隐性模型中也显着相关[OR 1.88(1.05-3.39) ),P = 0.033]。对于其他两个SNP 2677G> T / A和3435C> T,均未发现与治疗反应或2-4级毒性相关。在荟萃分析中,未发现整体关联。结论:在我们的研究中,ABCB1 1236C> T多态性与治疗反应之间存在显着相关性。荟萃分析未显示出与治疗结果的整体关联。

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