Identification of key genes and related pathways in hepatocarcinoma usingbioinformatics analysis

目的：各种治疗己大大降低了肝细胞癌患者的死亡率.然而,在晚期肝细胞癌患者中可以使用的治疗方法仍是比较有限的.因此,在整个转录组水平上了解肝癌的特征可以帮助预防肝细胞癌的进展.本研宄的目的是比较正常肝脏和肝细胞癌组织之间不同的表达基因和相关信号通路.方法：从GEO数据库下载GSE104627的基因表达谱,分析差异表达基因.通过GO分析及KEGG分析,揭示差异表达基因功能富集及主要参与的信号通路.进一步分析蛋白一蛋白之间的相互作用,并通过Cytoscape软件构建蛋白相互作用网络.结果：肿瘤组织和正常组织共有880个差异表达的基因,其中包括554个上调基因和326个下调基因.GO分析结果显示上调基因主要富集在RNA定位,核酸转运,RNA转运,RNA定位和核碱基、核苷、核苷酸和核酸转运.KEGG通路分析显示上调基因主要参与轴突导向,背腹轴形成及肿瘤相关通路.蛋白相互作用网络结果显示,核心基因主要参与包括G蛋白偶联受体信号传导途径,经由MAPK和细胞外基质组织的信号传导途径.结论：本研宄从基因转录水平比较了正常组织和肝细胞癌组织之间不同表达的基因.分析了涉及肝细胞癌和相关分子发展的可能信号通路.但是,还需要进一步的实验室和临床验证.

Objective Various treatments have greatly reduced the mortality of hepatocellular carcinoma （HCC）. However, few therapies could be performed in advanced HCC. Therefore, understanding the characteristics of HCC at the level of the whole transcriptome can help prevent the progression of HCC. Methods： The aim of this study was to identify differently expressed genes and potent pathways between normal liver and HCC tissues. The gene expression profiles of GSE104627 were downloaded from Gene Expression Omnibus database. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed and protein-protein interaction network of the differentially expressed genes were constructed by Cytoscape software. Results： In total, 880 differently expressed genes were identified between normal and tumor tissues, including 554 up-regulated genes and 326 down-regulated genes. Gene Ontology analysis results showed that the up-regulated genes were significantly enriched in establishment of RNA localization, nucleic acid transport, RNA transport, RNA localization and nucleobase, nucleoside, nucleotide and nucleic acid transport. Kyoto Encyclopedia of Genes and Genomes pathway analysis showed the up-regulated genes were enriched in axon guidance, dorso-ventral axis formation and pathways in cancer. The top 10 hub genes were identified from the protein - protein interaction network, and sub-networks revealed these genes were involved in significant pathways, including G protein-coupled receptors signaling pathway, signaling pathway via MAPK and extracellular matrix organization. Conclusion： The present study described the differently expressed genes between normal tissues and HCC tissues from the level of gene transcription. The possible signaling pathways involved in the development of HCC and related molecules involved were analyzed. However, further laboratory and clinical validation is still needed.