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首页> 外文期刊>Neoplasma: Journal of Experimental and Clinical Oncology >Identification of biomarkers and potential molecular mechanisms of clear cell renal cell carcinoma
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Identification of biomarkers and potential molecular mechanisms of clear cell renal cell carcinoma

机译:透明细胞肾细胞癌的生物标志物鉴定及潜在的分子机制

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Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cancer in adults. The aim of this study is to identify the biomarkers and potential molecular mechanisms of ccRCC. Three gene expression profiles and two miRNA expression profiles were downloaded from GEO database. A total of 330 up-regulated differentially expressed genes (DEGs), 545 down-regulated DEGs, 26 up-regulated differentially expressed miRNAs (DEMs) and 11 down-regulated DEMs were identified by GEO2R. The gene ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed by KOBAS soft ware. The results showed that GO terms of the up-regulated DEGs were mostly enriched in response to stimulus at BP level, cell periphery at CC level and binding at MF level, while the GO terms of down-regulated DEGs were enriched in single-organism process at BP level, extracellular exosome at CC level and catalytic activity at MF level. As for KEGG pathways, HIF-1 signaling pathway, focal adhesion, PI3K-Akt signaling pathway and metabolic pathways were significantly enriched. Then, protein-protein interaction (PPI) network and miRNA-gene network were constructed and analyzed by Cytoscape. A total of eight DEGs were identified as biomarkers, including VEGFA, PPARA, CCND1, FLT1, CXCL12, FN1, DCN and ERBB4. Expression validation and survival analysis were performed by GEPIA and OncoLnc, respectively. Four biomarkers were verified by quantitative real-time PCR (qPCR) in 786-O cell line and HK-2 cell line. All four genes had the same expression trend as predicted. Our study provides a series of biomarkers and molecular mechanisms for the deeper research of ccRCC.
机译:透明细胞肾细胞癌(CCRCC)是成人中最常见的肾癌类型。本研究的目的是鉴定CCRCC的生物标志物和潜在的分子机制。从Geo数据库下载了三种基因表达谱和两个miRNA表达曲线。通过GEO2R鉴定了总共330个上调的差异表达基因(DEGS),545℃,545个下调的次数,26个上调的差异表达miRNA(DEMS)和11个下调的DEM。基因本体学(GO)富集和基因组(KEGG)途径分析的基因本体(GO)富集和京都百科分析由Kobas软件进行。结果表明,响应于BP水平的刺激,CC水平的细胞周边和MF水平结合的刺激而大多富集了上调的DEG的术语,而下调型富集的阶段富含单生体过程在BP水平,CC水平的细胞外外出组和MF水平的催化活性。对于Kegg途径,HIF-1信号通路,局灶性粘附,PI3K-AKT信号传导途径和代谢途径被显着富集。然后,通过Cytoscape构建和分析蛋白质 - 蛋白质相互作用(PPI)网络和miRNA-Gene网络。共鉴定为生物标志物,包括VEGFA,PPARA,CCND1,FLT1,CXCL12,FN1,DCN和ERBB4。表达验证和生存分析分别由肠果和onColnc进行。通过定量实时PCR(QPCR)在786-O细胞系和HK-2细胞系中验证了四种生物标志物。所有四种基因都具有相同的表达趋势,如预测。我们的研究提供了一系列生物标志物和用于CCRCC的更深入研究的生物标志物和分子机制。

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