Association of MTHFR rs9651118 and TYMS rs2790 Polymorphisms with Risk of Cancers: A Case-Control Study and Meta-analysis.

IF 2.1 4区生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY

Biochemical Genetics Pub Date : 2024-09-21 DOI:10.1007/s10528-024-10929-9

Weiguang Zhou, Yingxuan Xiao, Yifan Jiang, Aoxiang Zou, Jiangyi Ruan, Xianhong Feng, Jing Li, Bifeng Chen

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引用次数: 0

Abstract

Recently, rs9651118 in the MTHFR gene and rs2790 in the TYMS gene have been repeatedly studied for their contribution to cancer risk. However, the results remain conflicting rather than conclusive. Therefore, we here conducted a replication case-control study and a meta-analysis to comprehensively examine the contribution of rs9651118 and rs2790 to cancer risk. A total of 1727 patients with colorectal/gastric/liver (787/460/480) cancer and 800 healthy controls were recruited, and the Sanger sequencing was applied to genotype rs9651118 and rs2790. Besides, a total of 23 eligible studies were included in the following meta-analysis. After Bonferroni correction, the results of case-control study suggested that significant associations between rs9651118 and colorectal cancer (CRC) risk, rs9651118 and gastric cancer (GC) risk, and rs2790 and liver cancer (LC) risk were identified in Hubei Chinese population. The results of meta-analysis indicated that after Bonferroni correction, both rs9651118 and rs2790 were significantly associated with total cancer risk especially in Asian population and based on Sanger sequencing method, rs9651118 was significantly associated with breast cancer (BC) risk, and rs2790 was significantly associated with the risk of CRC and GC. In conclusion, the present findings revealed that the MTHFR gene rs9651118 may participate in the risk of total cancer (especially BC) in Asian population, and the TYMS gene rs2790 may be associated with the risk of total cancer (especially CRC) in Asian population and also the risk of GC in total population.

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MTHFR rs9651118 和 TYMS rs2790 多态性与癌症风险的关系：病例对照研究与元分析》。

最近，人们反复研究了 MTHFR 基因中的 rs9651118 和 TYMS 基因中的 rs2790 对癌症风险的影响。然而，研究结果仍然是相互矛盾而非结论性的。因此，我们在此开展了一项复制病例对照研究和一项荟萃分析，以全面研究 rs9651118 和 rs2790 对癌症风险的影响。我们共招募了 1727 名结直肠癌/胃癌/肝癌（787/460/480）患者和 800 名健康对照者，并应用 Sanger 测序法对 rs9651118 和 rs2790 进行了基因分型。此外，共有 23 项符合条件的研究被纳入了接下来的荟萃分析。经过Bonferroni校正后，病例对照研究结果表明，在湖北中国人群中，rs9651118与结直肠癌（CRC）风险、rs9651118与胃癌（GC）风险、rs2790与肝癌（LC）风险之间存在显著关联。荟萃分析结果表明，经 Bonferroni 校正后，rs9651118 和 rs2790 与总癌症风险显著相关，尤其是在亚洲人群中；基于 Sanger 测序方法，rs9651118 与乳腺癌（BC）风险显著相关，rs2790 与 CRC 和 GC 风险显著相关。总之，本研究结果显示，MTHFR 基因 rs9651118 可能参与了亚洲人群罹患总癌症（尤其是 BC）的风险，而 TYMS 基因 rs2790 可能与亚洲人群罹患总癌症（尤其是 CRC）的风险以及总人群罹患 GC 的风险有关。

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来源期刊

Biochemical Genetics 生物-生化与分子生物学

CiteScore

3.90

自引率

0.00%

发文量

133

审稿时长

4.8 months

期刊介绍： Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.