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Comprehensive analysis of differential co-expression patterns reveal transcriptional dysregulation mechanism and identify novel prognostic lncRNAs in esophageal squamous cell carcinoma

机译:差异共表达模式的综合分析揭示了转录失调机制并鉴定了食管鳞状细胞癌的新预后lncRNAs。

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摘要

Esophageal squamous cell carcinoma (ESCC) is one of the most common malignancies worldwide and occurs at a relatively high frequency in People’s Republic of China. However, the molecular mechanism underlying ESCC is still unclear. In this study, the mRNA and long non-coding RNA (lncRNA) expression profiles of ESCC were downloaded from the Gene Expression Omnibus database, and then differential co-expression analysis was used to reveal the altered co-expression relationship of gene pairs in ESCC tumors. A total of 3,709 mRNAs and 923 lncRNAs were differentially co-expressed between normal and tumor tissues, and we found that most of the gene pairs lost associations in the tumor tissues. The differential regulatory networking approach deciphered that transcriptional dysregulation was ubiquitous in ESCC, and most of the differentially regulated links were modulated by 37 TFs. Our study also found that two novel lncRNAs (ADAMTS9-AS1 and AP000696.2) might be essential in the development of ectoderm and epithelial cells, which could significantly stratify ESCC patients into high-risk and low-risk groups, and were much better than traditional clinical tumor markers. Further inspection of two risk groups showed that the changes in TF-target regulation in the high-risk patients were significantly higher than those in the low-risk patients. In addition, four signal transduction-related DCmRNAs (ERBB3, ENSA, KCNK7, MFSD5), which were differentially co-expressed with the two lncRNAs, might also have the predictive capacity. Our findings will enhance the understanding of ESCC transcriptional dysregulation from a view of cross-link of lncRNA and mRNA, and the two-lncRNA combination may serve as a novel prognostic biomarker for clinical applications of ESCC.
机译:食道鳞状细胞癌(ESCC)是全球最常见的恶性肿瘤之一,在中国发病率相对较高。然而,ESCC的分子机制尚不清楚。在这项研究中,从基因表达综合数据库下载ESCC的mRNA和长非编码RNA(lncRNA)表达谱,然后使用差异共表达分析揭示ESCC中基因对改变的共表达关系。肿瘤。在正常和肿瘤组织之间共共表达3,709个mRNA和923个lncRNA,我们发现大多数基因对在肿瘤组织中失去了联系。差异调节网络方法破译了转录失调在ESCC中无处不在,并且大多数差异调节的链节都由37个TF调节。我们的研究还发现,两种新的lncRNA(ADAMTS9-AS1和AP000696.2)可能在外胚层和上皮细胞的发育中必不可少,它们可以将ESCC患者显着分为高风险和低风险组,并且比传统的临床肿瘤标志物。对两个风险组的进一步检查显示,高风险患者的TF-靶标调节变化明显高于低风险患者。此外,与两个lncRNA差异表达的四个信号转导相关DCmRNA(ERBB3,ENSA,KCNK7,MFSD5)也可能具有预测能力。从lncRNA和mRNA的交联角度来看,我们的发现将增强对ESCC转录失调的理解,并且两种lncRNA的结合可作为ESCC临床应用的新型预后生物标志物。

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