Shi Quan, Wang Xing, Cai Chuan, Yang Shuo, Huo Na, Liu Hongchen
Institute of Stomatology, Chinese PLA General Hospital, Beijing, China.
Stomatological Hospital, Shanxi Medical University, Taiyuan, China.
Front Genet. 2017 Nov 3;8:169. doi: 10.3389/fgene.2017.00169. eCollection 2017.
Studies have been conducted to explore the association between the single nucleotide polymorphisms (SNPs) in transforming growth factor beta 1 (TGF-β1) and head and neck cancer (HNC) susceptibility, however the findings are still inconclusive. Therefore, we conduct this meta-analysis to quantitatively assess the association. Embase and PubMed were searched for all eligible clinical studies. The odds ratio (OR) and 95% confidence interval (CI) of each study were pooled to estimate the association between SNPs in the TGF-β1 and the HNC risk. Subgroup analysis was used to explore whether particular characteristics were related to the value of overall ORs and 95% CIs. Seven case-control studies, including three SNPs (-509C/T, 869T/C, and 915G/C), were examined. Overall, this meta-analysis failed to identify a significant association between TGF-β1-509C/T, 915G/C polymorphism and HNC risk in any models. As for the 869T/C polymorphism, significant associations were observed in the allelic model (C vs. T: OR = 1.351, 95%CI: 1.030-1.772), the homozygote model (CC vs. TT: OR = 1.585, 95%CI: 1.026-2.449) and the dominant model (CT/CC vs. TT: OR = 1.398, 95%CI: 1.008-1.937). This polymorphism was also found in the Asian group as well (C vs. T: OR = 1.400, 95%CI: 1.003-1.956, CC vs. TT: OR = 1.814, 95%CI: 1.018-3.233). Meta-analysis failed to show a statistical association between TGF-β1-509C/T, 915G/C polymorphism, and HNC risk in any genetic models. However, it was found that TGF-β1 869C/T polymorphism may be involved in susceptibility to HNC, especially in Asian patients. However, given the limitations of this meta-analysis, further well-designed studies are required in the future.
已有研究探讨转化生长因子β1(TGF-β1)中的单核苷酸多态性(SNP)与头颈癌(HNC)易感性之间的关联,但研究结果仍无定论。因此,我们进行这项荟萃分析以定量评估这种关联。在Embase和PubMed中检索所有符合条件的临床研究。汇总每项研究的比值比(OR)和95%置信区间(CI),以估计TGF-β1中的SNP与HNC风险之间的关联。采用亚组分析探讨特定特征是否与总体OR值和95%CI相关。共纳入七项病例对照研究,涉及三个SNP(-509C/T、869T/C和915G/C)。总体而言,这项荟萃分析未能在任何模型中确定TGF-β1 -509C/T、915G/C多态性与HNC风险之间存在显著关联。至于869T/C多态性,在等位基因模型(C vs. T:OR = 1.351,95%CI:1.030 - 1.772)、纯合子模型(CC vs. TT:OR = 1.585,95%CI:1.026 - 2.449)和显性模型(CT/CC vs. TT:OR = 1.398,95%CI:1.008 - 1.937)中观察到显著关联。在亚洲人群中也发现了这种多态性(C vs. T:OR = 1.400,95%CI:1.003 - 1.956,CC vs. TT:OR = 1.814,95%CI:1.018 - 3.233)。荟萃分析未能在任何遗传模型中显示TGF-β1 -509C/T、915G/C多态性与HNC风险之间存在统计学关联。然而,发现TGF-β1 869C/T多态性可能与HNC易感性有关,尤其是在亚洲患者中。然而,鉴于这项荟萃分析的局限性,未来还需要进一步设计良好的研究。