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作 者:宋大龙[1] 谭龙泉 郭鹏 井志强 SONG Dalong;TAN Longquan;GUO Peng;JING Zhiqiang(Department of Urology,Guizhou Provincial People’s Hospital,Guiyang 550002,China;不详)
机构地区:[1]贵州省人民医院泌尿外科,贵阳550002 [2]盘州市人民医院泌尿外科
出 处:《现代泌尿生殖肿瘤杂志》2020年第3期148-152,共5页Journal of Contemporary Urologic and Reproductive Oncology
摘 要:目的分析女性与男性肾透明细胞癌的DNA甲基化谱之间的异同,为临床个性化诊断与治疗肾透明细胞癌提供新的理论依据。方法从肿瘤基因组图谱(TCGA)与基因芯片公共数据库(GEO)中下载两种性别的肾透明细胞癌的DNA甲基化芯片数据,使用R语言minfi包对芯片数据进行预处理、对癌与癌旁组织进行差异分析,对两套不同来源的数据进行差异甲基化位点整合分析;使用单因素Cox回归分析计算预后甲基化位点;从生物通路角度,探讨差异甲基化位点与预后甲基化位点所涉及的潜在生物学功能。结果女性与男性肾透明细胞癌的差异DNA甲基化位点仅有约68%是相同的,而预后DNA甲基化位点仅有约20%是相同的,两者的差异甲基化位点所涉及的生物通路相似,含多个经典的肿瘤信号通路,而预后甲基化位点所涉及的生物通路在一定程度是不同的。结论女性与男性肾透明细胞癌的DNA甲基化谱具有性别特异性。Objective To provide new theoretical evidence for clinical diagnosis and therapy of clear cell renal cell carcinoma(ccRCC)using the sex-personalized management,we analyzed differences and similarities of DNA methylation pattern between females and males with ccRCC.Methods We downloaded Illumina Human Methylation 450K BeadChip datasets of females and males with ccRCC from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO),processed data and computed the difference of DNA methylation sites between tumor and adjacent tissues through a minfi package in R/Bioconductor,and analyzed the overlap methylation sites of the two databases.We identified the prognostic methylation sites by the univariate cox regression model,from the perspective of biological pathways,we also discussed potential biological function for the differential/prognostic methylation sites.Results Sixty-eight precent of differential methylation sites between female and male are shared,however,only twenty precent of prognostic methylation sites between female and male are shared.Biological pathways of both differential methylation sites are similar,including several classcial tumor signaling pathways,but biological pathways of prognostic methylation sites between female and male are partly different.Conclusions DNA methylation pattern between females and males with ccRCC appears to be gender-based specificity.
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