Abstract:Abstract: In order to identify the hub genes and biomarkers of hepatocellular carcinoma (HCC) by bioinfor-matics methods, the GSE112790 dataset from the Gene Expression Omnibus (GEO) and HCC data from The Cancer Genome Atlas (TCGA) database were screened for differential expression analysis. A total of 151 dif-ferentially expressed genes (DEGs) were identified and 10 hub genes were screened. Survival analysis indi-cated that upregulated expression of BUB1B, CDC20, ASPM and DLGAP5 genes significantly affected the prognosis of patients. Analysis of Oncomine database showed that expression levels of BUB1B, CDC20 and DLGAP5 were obviously related to tumor grade and vascular invasion. From HPA database and immunohis-tochemistry of liver cancer tissue microarray, it was found that expression levels of CDC20 and DLGAP5 in HCC tissues were higher than those in normal tissues. Cox analysis showed that the high expression of CDC20 and DLGAP5 could be used as an independent risk factor for the prognosis of patients with HCC. Moreover, the CDC20 methylation level was also found to be an important factor affecting its expression level and a va-riety of immune cell contents. In conclusion, CDC20 may be a potential biomarker for HCC prognosis evalua-tion and therapeutic target.
引用本文:
米宁宁, 白明圳, 高 龙, 马海东, 付文康, 林延延, 孟文勃. 基于生物信息学方法筛选和验证肝癌预后标志物[J]. 生命科学研究, 2022, 26(6): 538-548.
MI Ning-ning, BAI Ming-zhen, GAO Long, MA Hai-dong, FU Wen-kang, LIN Yan-yan, MENG Wen-bo. Identification and Validation of Prognostic Markers in Hepatocellular Carcinoma Based on Bioinformatics Analysis. Life Science Research, 2022, 26(6): 538-548.