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The differential expression patterns and co-expression networks of paralogs as an indicator of the TNM stages of lung adenocarcinoma and squamous cell carcinoma

机译:ParaLogs的差异表达模式和共表达网络作为肺腺癌和鳞状细胞癌的TNM阶段的指标

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摘要

Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis.
机译:癌症对人类健康构成严重威胁。通过全面研究表达模式和共同表达网络通过全面研究表达基因和转录因子(TF)的表达模式和癌症的进展之间的关联将有助于对癌症发病机制有助于深入了解。在这里,我们鉴定了副杀酰基基因对并系统地分析了这些副病毒的表达模式和已知的TFS,以阐明与肿瘤,节点,转移(TNM)分期信息的关联。我们发现〜60%旁边蛋白酶的表达依赖性依赖性,并且大于50%的差异表达的TFS对显示出阳性表达相关性。 Paralogs和TFS的下调模式与肺腺癌(Luad)和肺鳞状细胞癌(LUSC)的M和N发育阶段密切相关。我们的结果将有助于了解常规和TFS在癌症进展中的作用以及筛查预后生物标志物进行早期癌症诊断。

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