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Comprehensive Analysis of a circRNA-miRNA-mRNA Network to Reveal Potential Inflammation-Related Targets for Gastric Adenocarcinoma

机译:综合分析Circrna-miRNA-mRNA网络,揭示胃腺癌潜在炎症相关靶标

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Gastric cancer (GC) is the most common malignancy of the stomach. This study was aimed at elucidating the regulatory network of circRNA-miRNA-mRNA and identifying the precise inflammation-related targets in GC. The expression profiles of GSE83521, GSE78091, and GSE33651 were obtained from the GEO database. Interactions between miRNAs and circRNAs were investigated by the Circular RNA Interactome, and targets of miRNAs were predicted with miRTarBase. Then, a circRNA/miRNA/mRNA regulatory network was constructed. Also, functional enrichment analysis of selected differentially expressed genes (DEGs) was performed. The inflammation-/GC-related targets were collected in the GeneCards and GenLiP3 database, respectively. And a protein-protein interaction (PPI) network of DE mRNAs was constructed with STRING and Cytoscape to identify hub genes. The genetic alterations, neighboring gene networks, expression levels, and the poor prognosis of hub genes were investigated in cBioPortal, Oncomine, and Human Protein Atlas databases and Kaplan-Meier plotter, respectively. A total of 10 DE miRNAs and 33 DEGs were identified. The regulatory network contained 26 circRNAs, 10 miRNAs, and 1459 mRNAs. Functional enrichment analysis revealed that the selected 33 DEGs were involved in negative regulation of fat cell differentiation, response to wounding, extracellular matrix- (ECM-) receptor interaction, and regulation of cell growth pathways. THBS1, FN1, CALM1, COL4A1, CTGF, and IGFBP5 were selected as inflammation-related hub genes of GC in the PPI network. The genetic alterations in these hub genes were related to amplification and missense mutations. Furthermore, the genes RYR2, ERBB2, PI3KCA, and HELZ2 were connected to hub genes in this study. The hub gene levels in clinical specimens were markedly upregulated in GC tissues and correlated with poor overall survival (OS). Our results suggest that THBS1, FN1, CALM1, COL4A1, CTGF, and IGFBP5 were associated with the pathogenesis of gastric carcinogenesis and may serve as biomarkers and inflammation-related targets for GC.
机译:胃癌(GC)是胃的最常见的恶性肿瘤。该研究旨在阐明Circrna-miRNA-mRNA的调节网络,并鉴定GC中的精确炎症相关靶标。 GSE83521,GSE78091和GSE33651的表达简档从Geo数据库获得。通过圆形RNA互联蛋白酶研究了miRNA和Circrnas之间的相互作用,用Mirtarbase预测miRNA的靶标。然后,构建了CircrNA / miRNA / mRNA调节网络。此外,进行了所选差异表达基因(DEGS)的功能性富集分析。炎症/ GC相关靶标分别分别在Genecards和Genlip3数据库中收集。和De mRNA的蛋白质 - 蛋白质相互作用(PPI)网络用弦和细胞形式构建以鉴定轮毂基因。在Cbioportal,Oncomine和人蛋白地图集数据库和Kaplan-Meier绘图仪中研究了遗传改变,邻近基因网络,表达水平和中心基因的预后不良。共鉴定了总共10 de miRNA和33次。监管网络包含26个Circrnas,10 miRNA和1459 MRNA。功能性富集分析表明,所选择的33次参与脂肪细胞分化的负调节,对伤害的响应,细胞外基质 - (ECM-)受体相互作用和细胞生长途径的调节。选择ThBS1,Fn1,Calm1,COL4A1,CTGF和IGFBP5作为PPI网络中GC的炎症相关枢纽基因。这些轮毂基因的遗传改变与扩增和畸形突变有关。此外,基因Ryr2,ErbB2,Pi3kCa和HelZ2与本研究中的枢纽基因连接。临床标本中的轮毂基因水平在GC组织中显着上调,并与整体存活差(OS)相关联。我们的研究结果表明,THBS1,FN1,CALL1,COL4A1,CTGF和IGFBP5与胃癌发生的发病机制有关,可用作GC的生物标志物和相关靶标。

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