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首页> 外文期刊>Nature Communications >Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types
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Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types

机译:基因共表达网络分析揭示了跨癌症类型的预后基因的共同系统级特性

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Prognostic genes are key molecules informative for cancer prognosis and treatment. Previous studies have focused on the properties of individual prognostic genes, but have lacked a global view of their system-level properties. Here we examined their properties in gene co-expression networks for four cancer types using data from ‘The Cancer Genome Atlas’. We found that prognostic mRNA genes tend not to be hub genes (genes with an extremely high connectivity), and this pattern is unique to the corresponding cancer-type-specific network. In contrast, the prognostic genes are enriched in modules (a group of highly interconnected genes), especially in module genes conserved across different cancer co-expression networks. The target genes of prognostic miRNA genes show similar patterns. We identified the modules enriched in various prognostic genes, some of which show cross-tumour conservation. Given the cancer types surveyed, our study presents a view of emergent properties of prognostic genes.
机译:预后基因是有助于癌症预后和治疗的关键分子。先前的研究集中在单个预后基因的特性上,但是缺乏其系统级特性的全局视图。在这里,我们使用“癌症基因组图谱”中的数据检查了它们在四种癌症类型的基因共表达网络中的特性。我们发现,预后mRNA基因往往不是中心基因(具有极高连通性的基因),并且这种模式对于相应的癌症类型特异性网络而言是唯一的。相反,预后基因在模块(一组高度互连的基因)中富集,尤其是在跨不同癌症共表达网络保守的模块基因中。预后的miRNA基因的靶基因显示相似的模式。我们确定了丰富了各种预后基因的模块,其中一些具有交叉肿瘤保守性。鉴于所调查的癌症类型,我们的研究提出了对预后基因的新兴特征的看法。

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