Xu Gui-Ping, Zhao Qing, Wang Ding, Xie Wen-Yue, Zhang Li-Jun, Zhou Hua, Chen Shi-Zhi, Wu Li-Fang
Transfusion Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Department of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Oncotarget. 2018 Jan 6;9(9):8681-8694. doi: 10.18632/oncotarget.24064. eCollection 2018 Feb 2.
Many studies have reported that BRCA1 polymorphisms are associated with cancer risk, but the results remain controversial. The purpose of this meta-analysis is to evaluate the relationship between BRCA1 polymorphisms (rs799917, rs1799950, rs1799966, or rs16941) and cancer risk. Relevant studies were identified via a systematic search of the PubMed, Embase, and Web of Science databases up to July 31, 2017. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to examine the strength of the associations. Thirty-five studies published in 19 publications involving 28,094 cases and 50,657 controls were included in this meta-analysis. There was no obvious association between rs799917, rs1799966, or rs16941 polymorphisms and overall cancer risk in any genetic models. However, subgroup analyses revealed that the rs799917 polymorphism could decrease the risk of cervical cancer, esophageal squamous cell carcinoma (ESCC), gastric cancer, and non-Hodgkin lymphoma (NHL) among Asian populations in one or more genetic models and that rs16941 could increase overall cancer risk among Caucasian populations in the homozygote and recessive models. Our meta-analysis also indicated that rs1799950 could decrease the breast cancer (BC) risk among Caucasian populations in the homozygote and recessive models. In summary, our results suggest that BRCA1 polymorphisms may play an important role in the etiology of cancer. However, due to the limited number of studies, these findings should be confirmed by new studies with larger sample sizes that address various types of cancer.
许多研究报告称,BRCA1基因多态性与癌症风险相关,但结果仍存在争议。本荟萃分析的目的是评估BRCA1基因多态性(rs799917、rs1799950、rs1799966或rs16941)与癌症风险之间的关系。通过系统检索截至2017年7月31日的PubMed、Embase和Web of Science数据库来识别相关研究。计算比值比(OR)及95%置信区间(CI)以检验关联强度。本荟萃分析纳入了19篇出版物中发表的35项研究,涉及28,094例病例和50,657例对照。在任何遗传模型中rs799917、rs1799966或rs16941基因多态性与总体癌症风险之间均无明显关联。然而,亚组分析显示,在一个或多个遗传模型中,rs799917基因多态性可降低亚洲人群患宫颈癌、食管鳞状细胞癌(ESCC)、胃癌和非霍奇金淋巴瘤(NHL)的风险,且在纯合子和隐性模型中rs16941可增加高加索人群的总体癌症风险。我们的荟萃分析还表明,在纯合子和隐性模型中rs1799950可降低高加索人群患乳腺癌(BC)的风险。总之,我们的结果表明BRCA1基因多态性可能在癌症病因学中起重要作用。然而,由于研究数量有限,这些发现应由针对各种类型癌症的更大样本量的新研究来证实。