食管癌中竞争性内源性RNA的综合分析
Integrated analysis of competing endogenous RNA in esophageal carcinoma.
作者信息
Chen Nanzheng, Wang Zhi, Yang Xiaomei, Geng Donghong, Fu Junke, Zhang Yong
机构信息
Department of Thoracic Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Nursing Department, Xi'an Chest Hospital, Xi'an, China.
出版信息
J Gastrointest Oncol. 2021 Feb;12(1):11-27. doi: 10.21037/jgo-20-615.
BACKGROUND
The Competing endogenous RNA (CeRNA) network plays important roles in the development and progression of multiple human cancers. Increasing attention has been paid to CeRNA in esophageal carcinoma (ESCA).
METHODS
We explored The Cancer Genome Atlas (TCGA) database and then analyzed the RNAs of 142 samples to obtain long non-coding RNAs (lncRNAs), micro RNAs (miRNAs), and messenger RNAs (mRNAs) with different expression trends alongside the progress of ESCA. A series test of cluster (STC) analysis was carried out to identify a set of unique model expression tendencies. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used to validate the function of key genes that were obtained from the STC analysis.
RESULTS
Through our analysis, 272 lncRNAs, 87 miRNAs, and 692 mRNAs showed upward expression or downward expression trends, and these molecules were tightly involved in cell cycle, pathways in cancer, metabolic processes, and protein phosphorylation, among others. Ultimately, we constructed a CeRNA network containing a total of 71 lncRNAs, 56 miRNAs, and 125 mRNAs. The overall survival (OS) was analyzed using univariate Cox regression analysis to clarify the relationship between these key molecules from the CeRNA network and the prognosis of ESCA patients. Through survival analysis, we finally screened out two lncRNAs (DLEU2, RP11-890B15.3), three miRNAs (miR-26b-3p, miR-92a-3p, miR-324-5p), and one mRNA (SIK2) as crucial prognostic factors for ESCA.
CONCLUSIONS
The novel CeRNA network that we constructed will provide new novel prognostic biomarkers and therapeutic targets for patients with ESCA.
背景
竞争性内源性RNA（CeRNA）网络在多种人类癌症的发生和发展中发挥着重要作用。食管癌（ESCA）中的CeRNA已受到越来越多的关注。
方法
我们探索了癌症基因组图谱（TCGA）数据库，然后分析了142个样本的RNA，以获得随着ESCA进展具有不同表达趋势的长链非编码RNA（lncRNA）、微小RNA（miRNA）和信使RNA（mRNA）。进行了聚类系列检验（STC）分析以识别一组独特的模型表达趋势。基因本体论（GO）和京都基因与基因组百科全书（KEGG）分析用于验证从STC分析中获得的关键基因的功能。
结果
通过我们的分析，272个lncRNA、87个miRNA和692个mRNA呈现出上调或下调的表达趋势，这些分子紧密参与细胞周期、癌症相关通路、代谢过程和蛋白质磷酸化等。最终，我们构建了一个共包含71个lncRNA、56个miRNA和125个mRNA的CeRNA网络。使用单变量Cox回归分析来分析总生存期（OS），以阐明CeRNA网络中的这些关键分子与ESCA患者预后之间的关系。通过生存分析，我们最终筛选出两个lncRNA（DLEU2、RP11 - 890B15.3）、三个miRNA（miR - 26b - 3p、miR - 92a - 3p、miR - 324 - 5p）和一个mRNA（SIK2）作为ESCA的关键预后因素。
结论
我们构建的新型CeRNA网络将为ESCA患者提供新的预后生物标志物和治疗靶点。
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