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Developmental genes significantly afflicted by aberrant promoter methylation and somatic mutation predict overall survival of late-stage colorectal cancer

机译:异常启动子甲基化和体细胞突变严重影响发育基因预测晚期结直肠癌的总体生存

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摘要

Carcinogenesis is an exceedingly complicated process, which involves multi-level dysregulations, including genomics (majorly caused by somatic mutation and copy number variation), DNA methylomics, and transcriptomics. Therefore, only looking into one molecular level of cancer is not sufficient to uncover the intricate underlying mechanisms. With the abundant resources of public available data in the Cancer Genome Atlas (TCGA) database, an integrative strategy was conducted to systematically analyze the aberrant patterns of colorectal cancer on the basis of DNA copy number, promoter methylation, somatic mutation and gene expression. In this study, paired samples in each genomic level were retrieved to identify differentially expressed genes with corresponding genetic or epigenetic dysregulations. Notably, the result of gene ontology enrichment analysis indicated that the differentially expressed genes with corresponding aberrant promoter methylation or somatic mutation were both functionally concentrated upon developmental process, suggesting the intimate association between development and carcinogenesis. Thus, by means of random walk with restart, 37 significant development-related genes were retrieved from a priori-knowledge based biological network. In five independent microarray datasets, Kaplan–Meier survival and Cox regression analyses both confirmed that the expression of these genes was significantly associated with overall survival of Stage III/IV colorectal cancer patients.
机译:致癌作用是一个极其复杂的过程,涉及多级失调,包括基因组学(主要由体细胞突变和拷贝数变异引起),DNA甲基组学和转录组学。因此,仅调查一种癌症分子水平不足以揭示复杂的潜在机制。利用癌症基因组图谱(TCGA)数据库中的大量公共可用数据,基于DNA拷贝数,启动子甲基化,体细胞突变和基因表达,进行了一项综合策略来系统地分析结直肠癌的异常模式。在这项研究中,检索了每个基因组水平的配对样本,以鉴定差异表达的基因与相应的遗传或表观遗传异常。值得注意的是,基因本体富集分析的结果表明,具有相应异常启动子甲基化或体细胞突变的差异表达基因在功能上都集中在发育过程中,表明发育与癌变之间密切相关。因此,通过随机游走并重新启动,从基于先验知识的生物网络中检索到37个与发育相关的重要基因。在五个独立的微阵列数据集中,Kaplan–Meier生存率和Cox回归分析均证实这些基因的表达与III / IV期结直肠癌患者的总体生存率显着相关。

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