Yang Zhiqiang, Wu Xinglang, Li Junbo, Zheng Qiang, Niu Junwei, Li Shengwei
Department of Hepatobiliary Surgery, Second Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Int J Gen Med. 2021 Dec 22;14:10185-10194. doi: 10.2147/IJGM.S341379. eCollection 2021.
Hepatocellular carcinoma (HCC) is a highly malignant, recurrent and drug-resistant tumor, and patients often lose the opportunity for surgery when they are diagnosed. Abnormal gene expression is closely related to the occurrence of HCC. The aim of the present study was to identify the differentially expressed genes (DEGs) between tumor tissue and non-tumor tissue of HCC samples in order to investigate the mechanisms of liver cancer.
The gene expression profile (GSE62232, GSE89377, and GSE112790) was downloaded from the Gene Expression Omnibus (GEO) and analyzed using the online tool GEO2R to identify differentially expressed genes (DEGs). Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using the Database for Annotation, Visualization and Integrated Discovery. Protein-protein interaction (PPI) of these DEGs was analyzed based on the Search Tool for the Retrieval of Interacting Genes database and visualized by Cytoscape software. In addition, we used the online Kaplan-Meier plotter survival analysis tool to evaluate the prognostic value of hub genes expression. HPA database was used to reveal the differences in protein level of hub genes.
A total of 50 upregulated DEGs and 122 downregulated DEGs were identified. Among them, ten hub genes with a high degree of connectivity were picked out. Overexpression of these hub genes was associated with unfavorable prognosis of HCC.
Our study suggests that CCNB2, CDC20, AURKA, TOP2A, MELK, NCAPG, KIF20A, UBE2C, PRC1, and ASPM were overexpressed in HCC compared with normal liver tissue. Overexpression of these genes was an unfavorable prognostic factor of HCC patients. Further study is needed to explore the value of them in the diagnosis and treatment of HCC.
肝细胞癌（HCC）是一种高度恶性、易复发且耐药的肿瘤，患者在确诊时往往失去手术机会。基因表达异常与HCC的发生密切相关。本研究旨在鉴定HCC样本肿瘤组织与非肿瘤组织之间的差异表达基因（DEGs），以探讨肝癌的发病机制。
从基因表达综合数据库（GEO）下载基因表达谱（GSE62232、GSE89377和GSE112790），并使用在线工具GEO2R进行分析，以鉴定差异表达基因（DEGs）。使用注释、可视化和综合发现数据库对基因本体（GO）功能和京都基因与基因组百科全书（KEGG）通路富集分析。基于相互作用基因检索工具数据库对这些DEGs进行蛋白质-蛋白质相互作用（PPI）分析，并通过Cytoscape软件进行可视化。此外，我们使用在线Kaplan-Meier绘图仪生存分析工具评估枢纽基因表达的预后价值。利用人类蛋白质图谱（HPA）数据库揭示枢纽基因蛋白质水平的差异。
共鉴定出50个上调的DEGs和122个下调的DEGs。其中，挑选出10个具有高度连通性的枢纽基因。这些枢纽基因的过表达与HCC的不良预后相关。
我们的研究表明，与正常肝组织相比，CCNB2、CDC20、AURKA、TOP2A、MELK、NCAPG、KIF20A、UBE2C、PRC1和ASPM在HCC中过表达。这些基因的过表达是HCC患者的不良预后因素。需要进一步研究以探索它们在HCC诊断和治疗中的价值。
