Rezaei Farzad, Mohammadi Hady, Heydari Mina, Sadeghi Masoud, Mozaffari Hamid Reza, Khavid Atefeh, Godiny Mostafa, Brand Serge, M Dürsteler Kenneth, Beatrix Brühl Annette, Cordier Dominik, Sadeghi-Bahmani Dena
Department of Oral and Maxillofacial Surgery, Kermanshah University of Medical Sciences, Kermanshah 6713954658, Iran.
Department of Oral and Maxillofacial Surgery, Health Services, Kurdistan University of Medical Sciences, Sanandaj 6617713446, Iran.
Medicina (Kaunas). 2021 Apr 22;57(5):405. doi: 10.3390/medicina57050405.
Inflammation and cell-mediated immunity can have significant roles in different stages of carcinogenesis. The present meta-analysis aimed to evaluate the association between the polymorphisms of and and the risk of oral cancer (OC).
PubMed/MEDLINE, Web of Science, Cochrane Library, and Scopus databases were searched until December 18, 2020 without any restrictions. RevMan 5.3 software was used to calculate the results of forest plots (odds ratios (ORs) and 95% confidence intervals (CIs)); CMA 2.0 software was used to calculate funnel plots (Begg's and Egger's tests), and SPSS 22.0 was used for the meta-regression analysis. Moreover, trial sequential analysis was conducted to estimate the robustness of the results.
Eleven articles including twelve studies were selected for the meta-analysis. The pooled ORs for the association between polymorphism and the risk of OC in the models of A vs. T, AA vs. TT, TA vs. TT, AA + TA vs. TT, and AA vs. TT + TA were 0.97 ( = 0.78), 0.86 ( = 0.55), 0.78 ( = 0.37), 0.83 ( = 0.45), and 1.10 ( = 0.34), respectively. The pooled ORs polymorphism and the risk of OC in the models of C vs. G, CC vs. GG, GC vs. GG, CC + GC vs. GG, and CC vs. GG + GC were 1.07 ( = 0.87), 1.17 ( = 0.82), 1.44 ( = 0.38), 1.28 ( = 0.61), and 0.96 ( = 0.93), respectively. There was no association between polymorphism and OC susceptibility, but the C allele and GC and CC genotypes of polymorphism were associated with the risk of OC based on subgroup analyses, that is to say, the source of control and the genotyping method might bias the pattern of association.
The meta-analysis confirmed that there was no association between the polymorphisms of and and the susceptibility of OC. However, the source of control and the genotyping method could unfavorably impact on the association between the polymorphisms of and the risk OC.
炎症和细胞介导的免疫在致癌作用的不同阶段可能发挥重要作用。本荟萃分析旨在评估[具体基因1]和[具体基因2]的多态性与口腔癌（OC）风险之间的关联。
检索PubMed/MEDLINE、Web of Science、Cochrane图书馆和Scopus数据库至2020年12月18日，无任何限制。使用RevMan 5.3软件计算森林图结果（比值比（ORs）和95%置信区间（CIs））；使用CMA 2.0软件计算漏斗图（Begg检验和Egger检验），并使用SPSS 22.0进行荟萃回归分析。此外，进行试验序贯分析以评估结果的稳健性。
选择了11篇文章（包括12项研究）进行荟萃分析。在A与T、AA与TT、TA与TT、AA + TA与TT以及AA与TT + TA模型中，[具体基因1]多态性与OC风险之间关联的合并OR分别为0.97（P = 0.78）、0.86（P = 0.55）、0.78（P = 0.37）、0.83（P = 0.45）和1.10（P = 0.34）。在C与G、CC与GG、GC与GG、CC + GC与GG以及CC与GG + GC模型中，[具体基因2]多态性与OC风险之间关联的合并OR分别为1.07（P = 0.87）、1.17（P = 0.82）、1.44（P = 0.38）、1.28（P = 0.61）和0.96（P = 0.93）。[具体基因1]多态性与OC易感性之间无关联，但基于亚组分析，[具体基因2]多态性的C等位基因以及GC和CC基因型与OC风险相关，也就是说，对照来源和基因分型方法可能会使关联模式产生偏差。
荟萃分析证实，[具体基因1]和[具体基因2]的多态性与OC易感性之间无关联。然而，对照来源和基因分型方法可能会对[具体基因1]多态性与OC风险之间的关联产生不利影响。
