Objective To explore molecular markers to accurately predict the prognosis of patients with hepatocellular carcinoma.Methods The TCGA database was accessed to obtain the mRNA expression data and associated clinical prog-nosis data of hepatocellular carcinoma(LIHC)samples.Additionally,clinicopathological and follow-up data were collected from 91 patients diagnosed with hepatocellular carcinoma(HCC)who underwent hepatectomy at the Xinjiang Uygur Au-tonomous Region People's Hospital between January 1,2017,and January 1,2022.Following a screening of differentially expressed genes(DEGs)using R software,risk genes linked to the survival of HCC patients were further screened using Cox univariate regression analysis and LASSO regression analysis;the expression of ELOVL3 in various liver tissues was analyzed using the ggplot2 analysis package and immunohistochemical staining;Kaplan-Meier survival analysis was real-ized using the survival analysis package.Results Total 752DEGs were obtained,including of 247 upregulated genes and 505 down-regulated genes.Coxunivariate regression analysis was used to identify 175 genes from DEGs that were signifi-cantly associated with survival of HCC patients,and 14 risk genes that were closely related to the survival of HCC patients were further selected by LASSO regression analysis.The ggplot2 tool in R provided analysis findings that demonstrated ELOVL3 expression levels in tumor tissues were significantly greater than those in normal tissues(P＜0.001)and also higher than those in matching para-tumor tissues(P＜0.001).Immunohistochemical staining results revealed that 32 pa-tients(35.2％)did not have positive ELOVL3 results,while 59 patients(64.8％)did.They were negative in matched ad-jacent tissues.According to survival analysis,patients who tested positive for ELOVL3 had a significantly lower 5-year survival rate(r=0.028)than patients who tested negative for ELOVL3;additionally,patients who expressed high levels of ELOVL3 had a lower overall survival rate than those who expressed low levels of the protein,and their prognosis worsened with higher expression levels(HR=1.7,P=0.008).Conclusion It is anticipated that ELOVL3 will serve as a unique molecular marker for predicting the outcome of HCC.
关键词
肝细胞癌/TCGA数据库/差异表达基因/预后
Key words
Hepatocellular carcinoma/TCGA data base/Differentially expressed genes/Prognosis
维普
万方数据