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Association of Selenoprotein and Selenium Pathway Genotypes with Risk of Colorectal Cancer and Interaction with Selenium Status

机译:硒蛋白和硒途径基因型与大肠癌风险及硒状态相互作用的关系

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摘要

Selenoprotein genetic variations and suboptimal selenium (Se) levels may contribute to the risk of colorectal cancer (CRC) development. We examined the association between CRC risk and genotype for single nucleotide polymorphisms (SNPs) in selenoprotein and Se metabolic pathway genes. Illumina Goldengate assays were designed and resulted in the genotyping of 1040 variants in 154 genes from 1420 cases and 1421 controls within the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Multivariable logistic regression revealed an association of 144 individual SNPs from 63 Se pathway genes with CRC risk. However, regarding the selenoprotein genes, only TXNRD1 rs11111979 retained borderline statistical significance after adjustment for correlated tests (PACT = 0.10; PACT significance threshold was P < 0.1). SNPs in Wingless/Integrated (Wnt) and Transforming growth factor (TGF) beta-signaling genes (FRZB, SMAD3, SMAD7) from pathways affected by Se intake were also associated with CRC risk after multiple testing adjustments. Interactions with Se status (using existing serum Se and Selenoprotein P data) were tested at the SNP, gene, and pathway levels. Pathway analyses using the modified Adaptive Rank Truncated Product method suggested that genes and gene x Se status interactions in antioxidant, apoptosis, and TGF-beta signaling pathways may be associated with CRC risk. This study suggests that SNPs in the Se pathway alone or in combination with suboptimal Se status may contribute to CRC development.
机译:硒蛋白遗传变异和次优硒(Se)水平可能会导致结直肠癌(CRC)发生的风险。我们检查了硒蛋白和硒代谢途径基因中单核苷酸多态性(SNP)的CRC风险与基因型之间的关联。设计了Illumina Goldengate检测方法,并在欧洲癌症与营养前瞻性研究(EPIC)研究中对来自1420例病例和1421例对照的154个基因的1040个变异体进行了基因分型。多变量逻辑回归分析显示来自63个Se通路基因的144个单个SNP与CRC风险相关。但是,对于硒蛋白基因,只有TXNRD1 rs11111979在校正相关测试后仍保留临界统计显着性(PACT = 0.10; PACT显着性阈值为P <0.1)。经过多次测试调整后,受硒摄入影响的途径中的无翅/整合(Wnt)和转化生长因子(TGF)β信号基因(FRZB,SMAD3,SMAD7)中的SNPs也与CRC风险相关。在SNP,基因和途径水平上测试了与硒状态的相互作用(使用现有的血清硒和硒蛋白P数据)。使用改进的自适应秩截积法进行的途径分析表明,抗氧化剂,细胞凋亡和TGF-β信号通路中的基因和基因x Se状态相互作用可能与CRC风险相关。这项研究表明,单独或与次优硒状态结合的硒途径中的单核苷酸多态性可能有助于CRC的发展。

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