Ran Ran, Tu Gang, Li Hui, Wang Hao, Mou Exian, Liu Caiyang
Department of Breast Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610041, China.
Department of Endocrine Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
J Oncol. 2021 Dec 14;2021:9967599. doi: 10.1155/2021/9967599. eCollection 2021.
With the increasing incidence of thyroid cancer (TC), associations between genetic polymorphisms and TC risk have attracted a lot of attention. Considering that the results of associations of genetic variants with TC were usually inconsistent based on publications until now, we attempted to comprehensively evaluate the real evidence of associations between single nucleotide polymorphisms (SNPs) and TC risk.
We performed meta-analyses on 36 SNPs in 23 genes associated with TC susceptibility based on the data from 99 articles and comprehensively valued the epidemiological evidence of significant associations through the Venice criteria and false-positive report probability (FPRP) test. OR and value were also calculated for 19 SNPs in 13 genes based on the insufficient data from 22 articles.
19 SNPs were found significantly associated with TC susceptibility. Of these, strong epidemiological evidence of associations was identified for the following seven SNPs: POU5F1B rs6983267, FOXE1 rs966423, TERT rs2736100, NKX2-1 rs944289, FOXE1 rs1867277, FOXE1 rs2439302, and RET rs1799939, in which moderate associations were found in four SNPs and weak associations were found in eight SNPs. In addition, probable significant associations with TC were found in nine SNPs.
Our study systematically evaluated associations between SNPs and TC risk and offered reference information for further understanding of polymorphisms and TC susceptibility.
随着甲状腺癌（TC）发病率的不断上升，基因多态性与TC风险之间的关联备受关注。鉴于目前基于出版物的基因变异与TC关联结果通常不一致，我们试图全面评估单核苷酸多态性（SNP）与TC风险关联的真实证据。
我们基于99篇文章的数据，对与TC易感性相关的23个基因中的36个SNP进行了荟萃分析，并通过威尼斯标准和假阳性报告概率（FPRP）检验全面评估了显著关联的流行病学证据。还基于22篇文章的不充分数据，计算了13个基因中19个SNP的OR值和 值。
发现19个SNP与TC易感性显著相关。其中，以下7个SNP被确定有很强的关联流行病学证据：POU5F1B rs6983267、FOXE1 rs966423、TERT rs2736100、NKX2 - 1 rs944289、FOXE1 rs1867277、FOXE1 rs2439302和RET rs1799939，其中4个SNP发现有中度关联，8个SNP发现有弱关联。此外，在9个SNP中发现了与TC可能的显著关联。
我们的研究系统地评估了SNP与TC风险之间的关联，并为进一步了解多态性和TC易感性提供了参考信息。
