Abstract:Abstract: Hepatocellular carcinoma (HCC) is the leading cause of cancer-related death worldwide, but the research on the pathogenesis of HCC is still imperfect. It is important to explore its molecular markers and prognosis. Bioinformatics was used to screen HCC related genes. Gene expression profile data GSE84402, which includes data coming from HCC and non-cancer tissues, were obtained from Gene Expression Omnibus (GEO) database. GEO2R was used to screen differentially expressed genes (DEGs). GO function and KEGG pathway analyses of DEGs were performed using DAVID database, and the protein-protein interaction (PPI) network was constructed using STRING and Cytoscape software, and the hub genes were screened. The prognostic significance of hub genes was analyzed by KM plotter database. A total of 1 307 DEGs were screened, including 741 up-regulated and 566 down-regulated genes. Biological processes and pathway enrichment analyses showed that the DEGs were mainly enriched in cell division, cell cycle, DNA replication and material metabolism. From GO, KEGG and PPI network, BUB1, BUB1B, CCNA2, CCNB1, CCNB2, CDC20, CDK1, MAD2L1 and PLK1 were screened as hub genes. Further analysis showed that the 9 hub genes were all related to the regulation of cell cycle, indicating that the abnormal regulation of cell cycle plays an important role in the development of HCC. Survival analysis showed that the 9 hub genes were found to be up-regulated in HCC patients and correlated with poor prognosis. The study would help us find out the biomarkers related to the prognosis of HCC patients.
引用本文:
朱亚玲, 赵洪波, 蒋保三, 王 刚, 张越美, 刁 勇. 肝细胞癌相关差异基因的生物信息学及预后分析[J]. 生命科学研究, 2019, 23(1): 20-27.
ZHU Ya-ling, ZHAO Hong-bo, JIANG Bao-san, WANG Gang, ZHANG Yue-mei, DIAO Yong. Bioinformatics and Prognostic Analysis of Differentially Expressed Genes in Hepatocellular Carcinoma. Life Science Research, 2019, 23(1): 20-27.