关键词: TIMP2 gene polymorphism matrix metalloproteinases meta-analysis publication bias urinary cancer

Mesh : Humans Alleles Case-Control Studies Genetic Predisposition to Disease / genetics Polymorphism, Single Nucleotide / genetics Tissue Inhibitor of Metalloproteinase-2 / genetics Urologic Neoplasms / genetics

来  源:   DOI:10.1089/gtmb.2023.0457

Abstract:
Aim: The matrix metalloproteinases (MMPs) inhibit tissue inhibitors of metalloproteinases (TIMPs), playing a notable role in various biological processes, and mutations in TIMP2 genes impact a variety of urinary cancers. In this study, we analyze and evaluate the potential involvement of the TIMP2 418 G/C and MMP gene polymorphism in the etiology of urinary cancer. Methodology: For suitable case-control studies, a literature search was undertaken from various database sources such as PubMed, EMBASE, and Google Scholar. Incorporated into the analysis were case-control or cohort studies that documented the correlation between TIMP2 418 G/C and urological cancers. MetaGenyo served as the tool for conducting the meta-analysis, employing a fixed-effects model. The collective odds ratios, along with their corresponding 95% confidence intervals, were calculated and presented to assess the robustness of the observed associations. Results: A total of seven studies involving controls and cases out of recorded 1265 controls and 1154 cases were analyzed to ascertain the significant association of the TIMP2 gene with urologic cancer. No statistically significant correlation was observed between allelic, recessive, dominant, and overdominant models for the genetic variant under investigation. A 95% confidence interval (CI) and odds ratio (OR) were computed for each model, considering p-values <0.05. The OR and 95% CI for the allelic model were 0.99 and 0.77-1.27, respectively, whereas the respective values were 1.00 and 0.76-1.32 for the recessive model. In the dominant contrast model, OR and 95% CI were 1.09 and 0.62-1.90, while the same were 0.93 and 0.77-1.12 for the overdominant model. A funnel plot was used to reanalyze and detect the results as statically satisfactory. Conclusions: As a result of the data obtained, the TIMP2 gene polymorphism does not correlate statistically with cancer risk. The significance of this finding can only be confirmed using a large population, extensive epidemiological research, a comprehensive survey, and a better understanding of the molecular pathways associated.
摘要:
目的:基质金属蛋白酶(MMPs)抑制金属蛋白酶(TIMPs)的组织抑制剂,在各种生物过程中发挥着显著的作用,和TIMP2基因突变影响多种泌尿系癌症。在这项研究中,我们分析和评估TIMP2418G/C和MMP基因多态性在泌尿系肿瘤病因中的潜在参与。方法:对于合适的病例对照研究,从各种数据库来源进行了文献检索,如PubMed,EMBASE,谷歌学者。纳入分析的是病例对照或队列研究,这些研究记录了TIMP2418G/C与泌尿系癌症之间的相关性。MetaGenyo作为进行荟萃分析的工具,采用固定效应模型。集体赔率比,以及它们相应的95%置信区间,进行了计算和呈现,以评估观察到的关联的稳健性。结果:总共分析了7项研究,涉及记录的1265例对照和1154例病例中的对照和病例,以确定TIMP2基因与泌尿系癌症的显着关联。等位基因,隐性,支配,以及正在研究的遗传变异的超显性模型。计算每个模型的95%置信区间(CI)和比值比(OR),考虑p值<0.05。等位基因模型的OR和95%CI分别为0.99和0.77-1.27,而隐性模型的值分别为1.00和0.76-1.32。在主导对比度模型中,OR和95%CI分别为1.09和0.62-1.90,而超优势模型的OR和CI分别为0.93和0.77-1.12。使用漏斗图重新分析并检测结果为静态令人满意。结论:根据获得的数据,TIMP2基因多态性与癌症风险无统计学相关性.这一发现的意义只能通过大量人口来证实,广泛的流行病学研究,全面调查,以及对相关分子途径的更好理解。
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