Identification of genes predicting unfavorable prognosis in hepatitis B virus-associated hepatocellular carcinoma

Abstract

Background: To identify potential key genes predicting unfavorable prognosis in hepatitis B virus (HBV)associated hepatocellular carcinoma (HCC).Methods: Gene expression profiles of GSE121248, GSE62232, and GSE55092 from the GEO database were obtained and analyzed. Differentially expressed genes (DEGs) between HBV-associated HCC tissues and adjacent normal tissues were screened by the limma package and Venn diagram software. Functional assessment of DEGs was performed by Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Hub genes were selected by the protein-protein interaction (PPI) network and further validated by GSE14520 clinical data.Results: A total of 26 up-regulated genes and 76 down-regulated genes were identified by analyzing three databases. GO and KEGG analysis demonstrated that these genes were involved in cell division, metabolismrelated biological processes, the p53 pathway, and the cell cycle, among others. PPI network suggested that 14 hub DEGs (TOP2A,

Identifying a Three-Gene Signature and Associated Drugs for Hepatitis B Virus-Related Hepatocellular Carcinoma Using Comprehensive Bioinformatics Analysis

“…Gene ontology (GO) analysis identifies biological characteristics based on highthroughput transcriptomic and genomic data (Sha et al 2021). Genomes, biological…”

“…Bioinformatic methods provide new insights into tumors by reanalyzing these data. Most bioinformatic analyses on HBV-related HCC focus on mining a single gene signature for these tumors (Sha et al 2021, Wu et al 2019). Nevertheless, one individual gene is inadequate for understanding the tumor since carcinogenesis involves multiple factors, stages, and genes.…”

LncRNA TP53TG1 Promotes the Growth and Migration of Hepatocellular Carcinoma Cells via Activation of ERK Signaling

“…In addition, the underlying cause of HCC may be important. The P53 pathway was found to be upregulated in HBV-associated HCC [ 30 ], while protein levels were decreased in NASH-related HCC but not HCV-related [ 31 ]. Future studies into how TP53TG1 functions in a cell-type-specific manner will be critical to determine the contribution of TP53TG1 to the pathogenesis of HCC and other types of cancer.…”

Construction and validation of a joint diagnosis model based on random forest and artificial intelligence network for hepatitis B-related hepatocellular carcinoma

“…Four independent datasets (GSE17548 GSE104310 GSE44074 GSE136247) were used to verify the performance of the ANN model to classify samples (HBV-related HCC tissues or non-cancerous liver tissues with HBV). As a result, the model could correctly predict 23 GSE44074. The areas under the ROC curves (AUC) of the model in the test dataset were 1 (95% CI 1-1), 0.927 (95% CI 0.791-1), 0.921 (95% CI 0.738-1) and 0.833 (95% CI 0.725-0.918), respectively (Fig.…”