ABCB1基因C3435T多态性与乳腺癌风险：一项病例对照研究及荟萃分析

ABCB1-C3435T polymorphism and breast cancer risk: a case-control study and a meta-analysis.

作者信息

Sharif Alireza, Kheirkhah Davood, Reza Sharif Mohammad, Karimian Mohammad, Karimian Zahra

机构信息

Department of Infectious Disease, Kashan University of Medical Sciences, Kashan, Iran.

出版信息

J BUON. 2016 Nov-Dec;21(6):1433-1441.

PMID:28039704

Abstract

PURPOSE

To investigate the association of ABCB1-C3435T transition with breast cancer risk which was followed by a meta-analysis.

METHODS

In a case-control study we collected blood samples from 290 women (including 150 breast cancer patients and 140 healthy controls). ABCB1-C3435T genotyping was performed by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. A meta-analysis was performed for a total of 13 eligible studies involving 5,835 cases and 8,178 controls.

RESULTS

The results of case-control study revealed a significant association between T allele (OR=1.770, 95%CI=1.236-2.535, p=0.002), CT genotype (OR=1.661, 95%CI=1.017-2.713, p=0.042), and TT genotype (OR=3.399, 95%CI=1.409-8.197, p=0.006) with breast cancer risk. Data from meta-analysis revealed a significant association between ABCB1-C3435T polymorphism and breast cancer risk in allelic (OR=1.243, 95%CI=1.079-1.432, p=0.003), co-dominant (OR=1.349, 95%CI=1.042-1.746, p=0.023), dominant (OR=1.204, 95%CI=1.019-1.422, p=0.029), and recessive (OR=1.226, 95%CI=1.011-1.488, p=0.039) models.

CONCLUSIONS

The results suggest that the ABCB1-C3435T gene polymorphism might be a genetic risk factor and a potential biomarker for breast cancer.

摘要

目的

研究ABCB1基因C3435T位点突变与乳腺癌风险的相关性，并进行荟萃分析。

方法

在一项病例对照研究中，我们收集了290名女性的血样（包括150例乳腺癌患者和140名健康对照）。采用聚合酶链反应-限制性片段长度多态性（PCR-RFLP）方法对ABCB1基因C3435T进行基因分型。对13项符合条件的研究进行荟萃分析，共纳入5835例病例和8178名对照。

结果

病例对照研究结果显示，T等位基因（OR = 1.770，95%CI = 1.236 - 2.535，p = 0.002）、CT基因型（OR = 1.661，95%CI = 1.017 - 2.713，p = 0.042）和TT基因型（OR = 3.399，95%CI = 1.409 - 8.197，p = 0.006）与乳腺癌风险显著相关。荟萃分析数据显示，ABCB1基因C3435T多态性与乳腺癌风险在等位基因模型（OR = 1.243，95%CI = 1.079 - 1.432，p = 0.003）、共显性模型（OR = 1.349，95%CI = 1.042 - 1.746，p = 0.023）、显性模型（OR = 1.204，95%CI = 1.019 - 1.422，p = 0.029）和隐性模型（OR = 1.226，95%CI = 从1.011 - 1.488，p = 0.039）中均存在显著相关性。