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DNMT1, DNMT3A and DNMT3B gene variants in relation to ovarian cancer risk in the Polish population

机译:DNMT1,DNMT3A和DNMT3B基因变异与波兰人群卵巢癌风险的关系

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摘要

Studies have demonstrated that changes in DNA methylation of cancer related genes can be an elementary process accounting for ovarian tumorigenesis. Therefore, we evaluated the possible association of single nucleotide polymorphisms (SNPs) of DNA methyltransferases (DNMTs) genes, including DNMT1, DNMT3B, and DNMT3A, with ovarian cancer development in the Polish population. Using PCR-RFLP and HRM analyses, we studied the prevalence of the DNMT1 rs8101626, rs2228611 and rs759920, DNMT3A rs2289195, 7590760, rs13401241, rs749131 and rs1550117, and DNMT3B rs1569686, rs2424913 and rs2424932 SNPs in patients with ovarian cancer (n = 159) and controls (n = 180). The lowest p values of the trend test were observed for the DNMT1 rs2228611 and rs759920 SNPs in patients with ovarian cancer (p (trend) = 0.0118 and p (trend) = 0.0173, respectively). Moreover, we observed, in the recessive inheritance model, that the DNMT1 rs2228611 and rs759920 SNPs are associated with an increased risk of ovarian cancer development [OR 1.836 (1.143-2.949), p = 0.0114, p (corr) = 0.0342, and OR 1.932 (1.185-3.152), p = 0.0078, p (cor=)0.0234, respectively]. However, none of other nine studied SNPs displayed significant contribution to the development of ovarian cancer. Furthermore, haplotype and multifactor dimensionality reduction analysis of the studied DNMT1, DNMT3B, and DNMT3A polymorphisms did not reveal either SNP combinations or gene interactions to be associated with the risk of ovarian cancer development. Our results may suggest that DNMT1 variants may be risk factors of ovarian cancer.
机译:研究表明,癌症相关基因的DNA甲基化变化可能是导致卵巢肿瘤发生的基本过程。因此,我们评估了DNA甲基转移酶(DNMT)基因(包括DNMT1,DNMT3B和DNMT3A)的单核苷酸多态性(SNP)与波兰人群卵巢癌的可能联系。使用PCR-RFLP和HRM分析,我们研究了DNMT1 rs8101626,rs2228611和rs759920,DNMT3A rs2289195,7590760,rs13401241,rs749131和rs1550117以及DNMT3B rs1569686,rs2424913和rs24249n的rs2424913患者的患病率和控件(n = 180)。卵巢癌患者中DNMT1 rs2228611和rs759920 SNP的趋势测试最低p值(分别为p(趋势)= 0.0118和p(趋势)= 0.0173)。此外,我们在隐性遗传模型中观察到DNMT1 rs2228611和rs759920 SNP与卵巢癌发展的风险增加相关[OR 1.836(1.143-2.949),p = 0.0114,p(corr)= 0.0342,或1.932(1.185-3.152),p = 0.0078,p(cor =)0.0234]。但是,其他九个研究的SNP均未显示出对卵巢癌发展的重要贡献。此外,对所研究的DNMT1,DNMT3B和DNMT3A多态性的单倍型和多因素降维分析没有揭示SNP组合或基因相互作用与卵巢癌发生风险相关。我们的结果可能表明DNMT1变异可能是卵巢癌的危险因素。

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