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Association between GSTP1 Ile105Val polymorphism and urinary system cancer risk: evidence from 51 studies

机译:GSTP1 Ile105Val多态性与泌尿系统癌症风险之间的关联:来自51个研究的证据

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摘要

The GSTP1 gene plays an important role in detoxification of carcinogens. GSTP1 gene polymorphisms may alter the susceptibility of urinary system cancer. Numerous studies have been performed to investigate the association between GSTP1 Ile105Val (rs1695 A>G) polymorphism and urinary system cancer risk. Nevertheless, the results remain controversial and only prostate cancer and bladder cancer are covered. We identified eligible studies from PubMed, Elsevier, and three equivalent Chinese databases including the Chinese National Knowledge Infrastructure, Wanfang, and Weipu. Pooled odds ratios and 95% confidence intervals were used to assess the strength of the association between GSTP1 Ile105Val polymorphism and urinary system cancer risk. In total, 11,762 cases and 15,150 controls from 51 studies were included in the final meta-analysis. The pooled results from all included studies showed a statistically significant association between GSTP1 Ile105Val polymorphism and urinary system cancer. In the subgroup analyses, the GSTP1 Ile105Val polymorphism was found to be significantly associated with prostate cancer risk and also a risk factor for urinary system cancer among Asians. In conclusion, our meta-analysis indicated that GSTP1 Ile105Val polymorphism was associated with urinary system cancer susceptibility, which needs to be validated by more rigorous data from further large-scale population studies with different ethnicities.
机译:GSTP1基因在致癌物排毒中起重要作用。 GSTP1基因多态性可能会改变泌尿系统癌症的易感性。已经进行了大量研究以研究GSTP1 Ile105Val(rs1695 A> G)多态性与泌尿系统癌症风险之间的关系。然而,结果仍存在争议,仅涵盖前列腺癌和膀胱癌。我们从PubMed,Elsevier和三个等效的中文数据库(包括中国国家知识基础设施,万方和微浦)中确定了合格的研究。汇总比值比和95%置信区间用于评估GSTP1 Ile105Val多态性与泌尿系统癌症风险之间关联的强度。最终的荟萃分析总共包括来自51项研究的11,762例病例和15,150例对照。所有纳入研究的汇总结果表明,GSTP1 Ile105Val多态性与泌尿系统癌症之间存在统计学上的显着关联。在亚组分析中,发现亚洲人中GSTP1 Ile105Val多态性与前列腺癌风险显着相关,也是泌尿系统癌症的危险因素。总之,我们的荟萃分析表明GSTP1 Ile105Val多态性与泌尿系统癌症的易感性有关,这需要通过来自不同种族的大规模人群研究得到的更严格的数据进行验证。

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