Screening and identification of key genes ATP1B3 and ENAH in the progression of hepatocellular carcinoma: based on data mining and clinical validation.
10.12122/j.issn.1673-4254.2022.06.04
- Author:
Xue Jia YANG
1
;
Yu Jie LI
2
;
Deng Qiang WU
1
;
Yi Li MA
2
;
Su Fang ZHOU
2
Author Information
1. National Center for International Research of Bio-targeting Theranostics//Guangxi Key Laboratory of Bio-targeting Theranostics//Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy//Guangxi Talent Highland of Bio-targeting Theranostics, Nanning 530021, China.
2. Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Guangxi Medical University, Nanning 530021, China.
- Publication Type:Journal Article
- Keywords:
ATP1B3;
ENAH;
hepatocellular carcinoma;
liver cirrhosis;
liver fibrosis
- MeSH:
Carcinoma, Hepatocellular/pathology*;
Data Mining;
Gene Expression Profiling/methods*;
Gene Expression Regulation, Neoplastic;
Humans;
Liver Neoplasms/pathology*;
Microfilament Proteins/metabolism*;
Sodium-Potassium-Exchanging ATPase/metabolism*
- From:
Journal of Southern Medical University
2022;42(6):815-823
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To explore the marker genes correlated with the prognosis, progression and clinical diagnosis of hepatocellular carcinoma (HCC) based on bioinformatics methods.
METHODS:The TCGA-LIHC, GSE84432, GSE143233 and GSE63898 datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were analyzed. The differentially expressed genes (DEGs) shared by different disease types were obtained using GEO2R and edge R packages, and Gene Ontology (GO) and Kyoto Gene and Genome Encyclopedia (KEGG) enrichment analyses of the DEGs were performed. The expression levels of these DEGs in normal and cancerous tissues were verified in TCGA-LIHC to identify the upregulated genes in HCC. Survival analysis, receiver-operating characteristic (ROC) curve analysis, and correlation analysis between the key genes and the clinical features of the patients were carried out using the R language. The differential expressions of 15 key genes were verified in clinical samples of HCC and adjacent tissues using RT-qPCR.
RESULTS:A total of 118 common DEGs were obtained in the database, and among them two genes, namely ATPase Na +/K + transport subunit beta 3 (ATP1B3) and actin regulator (ENAH), showed increased expressions with disease progression. Survival analysis combined with the TCGA-LIHC dataset suggested that high expressions of ATP1B3 and ENAH were both significantly correlated with a poor prognosis of HCC patients (P < 0.05), and their AUC values were 0.821 and 0.933, respectively. A high expression of ATP1B3 was correlated with T stage, pathological stage and pathological grade of the tumors (P < 0.05), while that of ENAH was associated only with an advanced tumor grade (P < 0.05). The results of RT-qPCR showed that ATP1B3 and ENAH were both significantly upregulated in clinical HCC tissues (P < 0.05).
CONCLUSION:ATPIB3 and ENAH are both upregulated in HCC, and their high expressions may serve as biomarkers of progression of liver diseases and a poor prognosis of HCC.
