Li Zhen, Yao Qianlan, Zhao Songjian, Wang Yin, Li Yixue, Wang Zhen
School of Life Sciences and Biotechnology, Shanghai Jiao Tong University.
Shanghai Center for Bioinformation Technology, Shanghai Academy of Science and Technology.
Onco Targets Ther. 2017 Jun 21;10:3095-3105. doi: 10.2147/OTT.S135312. eCollection 2017.
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 (, , , ), 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.
食管鳞状细胞癌(ESCC)是全球最常见的恶性肿瘤之一,在中国的发病率相对较高。然而,ESCC的分子机制仍不清楚。在本研究中,从基因表达综合数据库下载了ESCC的mRNA和长链非编码RNA(lncRNA)表达谱,然后使用差异共表达分析来揭示ESCC肿瘤中基因对的共表达关系变化。正常组织和肿瘤组织之间共有3709个mRNA和923个lncRNA存在差异共表达,我们发现大多数基因对在肿瘤组织中失去了关联。差异调控网络方法表明转录失调在ESCC中普遍存在,并且大多数差异调控的连接由37个转录因子调节。我们的研究还发现,两个新的lncRNA(ADAMTS9-AS1和AP000696.2)可能在外胚层和上皮细胞发育中至关重要,它们可以将ESCC患者显著分为高风险和低风险组,并且比传统临床肿瘤标志物表现更好。对两个风险组的进一步检查表明,高风险患者中TF-靶标调控的变化显著高于低风险患者。此外,与这两个lncRNA差异共表达的四个信号转导相关的DCmRNA(,,,)也可能具有预测能力。我们的研究结果将从lncRNA和mRNA交联的角度增强对ESCC转录失调的理解,并且这两种lncRNA的组合可能作为ESCC临床应用的新型预后生物标志物。