Department of Pharmacy, 378872Noakhali Science and Technology University, Noakhali, Bangladesh.
Laboratory of Pharmacogenomics and Molecular Biology, Department of Pharmacy, 378872Noakhali Science and Technology University, Noakhali, Bangladesh.
Technol Cancer Res Treat. 2022 Jan-Dec;21:15330338221123109. doi: 10.1177/15330338221123109.
The gene family and gene are inextricably linked to an elevated risk of cancer development. This systemic review and meta-analysis seeks to establish the relationship between (rs11064, rs1045241, rs1045242, and rs3813308), (rs1060555), and (rs710100 and rs8126) polymorphisms with the risk of cancer. A systematic search of multiple databases from January 2022 to April 2022 was used to identify relevant studies. Odds ratios (ORs) with corresponding 95% CI and -value were calculated to assess the association. Bonferroni correction was performed to correct -values. Trial sequential analysis (TSA) and messenger RNA expression were also performed. Review Manager 5.4 software was used for performing this meta-analysis. This study comprised 6909 cancer patients and 7087 healthy participants from 14 studies. Four genetic models of rs11064 (codominant 2 [COD2]: OR = 2.30, = 7.83 × 10; codominant 3 [COD3]: OR = 2.10, = .0006; recessive model [RM]: OR = 2.24, = .0001; AC: OR = 1.47, = .037), two genetic models of rs1045241 (codominant 1 [COD1]: OR = 1.27, = .009; overdominant model [ODM]: OR = 1.24, = .018), four genetic models of rs1045242 (COD1: OR = 1.52, = .005; dominant model (DM): OR = 1.56, = .002; OD: OR = 1.48, = .008; AC: OR = 1.48, = .002), and three genetic models of rs8126 (COD2: OR = 1.41, = .0005; COD3: OR = 1.44, = .0002; RM: OR = 1.43, = .0001) were statistically linked to cancer risk. Only one genetic model of rs1060555 polymorphism showed a significant protective association with cancer (COD2: OR = 0.80, = .048). The outcomes of TSA also validated the findings of the meta-analysis. This study summarizes that rs11064, rs1045241, and rs1045242 polymorphisms of gene and rs8126 polymorphism of gene are significantly linked with the risk of cancer development. This meta-analysis was registered at INPLASY (registration number: INPLASY202270073).
基因家族和基因与癌症发展风险的升高密切相关。本系统评价和荟萃分析旨在确定 (rs11064、rs1045241、rs1045242 和 rs3813308)、(rs1060555)和 (rs710100 和 rs8126)多态性与癌症风险之间的关系。从 2022 年 1 月到 2022 年 4 月,通过系统检索多个数据库来识别相关研究。使用比值比(OR)及其相应的 95%置信区间(CI)和 -值来评估关联。使用 Bonferroni 校正来校正 -值。还进行了试验序贯分析(TSA)和信使 RNA 表达分析。使用 Review Manager 5.4 软件进行荟萃分析。本研究纳入了来自 14 项研究的 6909 名癌症患者和 7087 名健康参与者。rs11064 的四种遗传模型(共显性 2 [COD2]:OR=2.30,=7.83×10;共显性 3 [COD3]:OR=2.10,=0.0006;隐性模型 [RM]:OR=2.24,=0.0001;AC:OR=1.47,=0.037)、rs1045241 的两种遗传模型(共显性 1 [COD1]:OR=1.27,=0.009;超显性模型 [ODM]:OR=1.24,=0.018)、rs1045242 的四种遗传模型(COD1:OR=1.52,=0.005;显性模型(DM):OR=1.56,=0.002;OD:OR=1.48,=0.008;AC:OR=1.48,=0.002)和 rs8126 的三种遗传模型(COD2:OR=1.41,=0.0005;COD3:OR=1.44,=0.0002;RM:OR=1.43,=0.0001)与癌症风险具有统计学关联。只有 rs1060555 多态性的一种遗传模型显示与癌症有显著的保护关联(COD2:OR=0.80,=0.048)。TSA 的结果也验证了荟萃分析的结果。本研究总结了基因的 rs11064、rs1045241 和 rs1045242 多态性以及基因的 rs8126 多态性与癌症发展风险显著相关。本荟萃分析已在 INPLASY(注册号:INPLASY202270073)上注册。
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