Bioinformatics analysis of key genes and prognosis-related genes during the onset of hepatocellular carcinoma
10.3760/cma.j.cn501113-20200603-00292
- VernacularTitle:肝细胞癌发病关键基因和预后相关基因的生物信息学分析
- Author:
Zewen ZHOU
1
;
Xianguo ZHOU
;
Yingchun LIU
;
Moqin QIU
;
Qiuping WEN
;
Zihan ZHOU
;
Yanji JIANG
;
Shixiong FENG
;
Hongping YU
Author Information
1. 广西医科大学公共卫生学院，南宁 530021；广西医科大学附属肿瘤医院，南宁 530021
- Keywords:
Hepatocellular carcinoma;
Computational biology;
Key genes;
Differentially expressed genes
- From:
Chinese Journal of Hepatology
2020;28(8):686-691
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To screen and analyze the differentially-expressed genes (DEGs) in primary hepatocellular carcinoma tissues and adjacent tissues using bioinformatics methods to explore the molecular mechanism of the occurrence and prognosis of primary hepatocellular carcinoma.Methods:GSE76427 data set was collected through GEO database, and DEGs were identified using GEO2R online analysis. Go and KEGG databases were used for enrichment and functional annotation of DEGs. Protein interaction network was built based on the STRING database and Cytoscape software to analyze the key genes of hepatocellular carcinoma, and the survival curve of these key genes were analyzed using the GEPIA database.Results:A total of 74 hepatocellular carcinoma DEGs were screened, of which 3 and 71 were up-and-down-regulated genes. The results of GO enrichment analysis showed that the down-regulated DEGs were mainly involved in cell response to cadmium and zinc ions, negative growth regulation, heterologous metabolic processes and hormone-mediated signaling pathways. KEGG pathway enrichment analysis results showed that the down-regulated DEGs pathway were mainly involved in retinol metabolism, chemical carcinogenesis, drug metabolism-cytochrome P450, cytochrome P450 metabolizing xenobiotics, tryptophan metabolism and caffeine metabolism. Protein interaction network had screened out 10 down-regulated core genes: MT1G, MT1F, MT1X, MT1E, MT1H, insulin-like growth factor 1, FOS, CXCL12, EGR1, and BGN. Among them, the insulin-like growth factor 1 was related to the prognosis of primary hepatocellular carcinoma.Conclusion:Bioinformatics analysis results of HCC chip data showed that 10 key genes may play a key role in the occurrence and development of HCC and the insulin like growth factor 1 is associated with the prognosis of primary hepatocellular carcinoma.
