ArticleFrontiers in cell and developmental biology2021
Prognostic Value of a Novel Signature With Nine Hepatitis C Virus-Induced Genes in Hepatic Cancer by Mining GEO and TCGA Databases.
Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 19 citations in OpenAlex.
- FAM72A promotes UNG2 degradation and mutagenesis in human cancer cells.Scientific reports · 2025Article
- A 15-Gene-Based Risk Signature for Predicting Overall Survival in SCLC Patients Who Have Undergone Surgical Resection.Cancers · 2023Article
- High Expression of PSRC1 Predicts Poor Prognosis in Lung Adenocarcinoma.Journal of Cancer · 2023Article
- Identification of stage-related and severity-related biomarkers and exploration of immune landscape for Dengue by comprehensive analyses.Virology journal · 2022Article
- Characterization of cellular senescence patterns predicts the prognosis and therapeutic response of hepatocellular carcinoma.Frontiers in molecular biosciences · 2022Article
- Pyroptosis-related gene-based prognostic signature for predicting the overall survival of oral squamous cell carcinoma patients.Frontiers in surgery · 2022Article
- Determining the Prognostic Value of Spliceosome-Related Genes in Hepatocellular Carcinoma Patients.Frontiers in molecular biosciences · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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Abstract
backgroundHepatitis C virus-induced genes (HCVIGs) play a critical role in regulating tumor development in hepatic cancer. The role of HCVIGs in hepatic cancer remains unknown. This study aimed to construct a prognostic signature and assess the value of the risk model for predicting the prognosis of hepatic cancer.
methodsDifferentially expressed HCVIGs were identified in hepatic cancer data from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases using the library ("limma") package of R software. The protein-protein interaction (PPI) network was constructed using the Cytoscape software. Functional enrichment analysis was performed using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Univariate and multivariate Cox proportional hazard regression analyses were applied to screen for prognostic HCVIGs. The signature of HCVIGs was constructed. Gene Set Enrichment Analysis (GSEA) compared the low-risk and high-risk groups. Finally, the International Cancer Genome Consortium (ICGC) database was used to validate this prognostic signature. Polymerase chain reaction (PCR) was performed to validate the expression of nine HCVIGs in the hepatic cancer cell lines.
resultsA total of 143 differentially expressed HCVIGs were identified in TCGA hepatic cancer dataset. Functional enrichment analysis showed that DNA replication was associated with the development of hepatic cancer. The risk score signature was constructed based on the expression of
conclusionThis study evaluates a potential prognostic signature and provides a way to explore the mechanism of HCVIGs in hepatic cancer.
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