ArticleOncology reports2020
Identification of potential hub genes related to the progression and prognosis of hepatocellular carcinoma through integrated bioinformatics analysis.
Article in Oncology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
54 citing papers in PubMed, 86 citations in OpenAlex.
- AI-derived constrained conditional model for screening marker genes through integrated high-throughput transcriptome big data.BMC medical research methodology · 2026Article
- Molecular Insights Into Canine Hepatocellular Carcinoma: A Cross-Species Transcriptomic Comparison With Human HCC.Molecular carcinogenesis · 2026Article
- Pancancer Analyses of KISS1 as a Potential Biomarker for Tumor Metastasis and Immunotherapy and Therapeutic Target for Breast Cancer.International journal of genomics · 2026Article
- Article
- Identification of coagulation-related hub genes in ischemic stroke based on bioinformatics integration analysis and investigation of their immune regulatory mechanisms.European journal of medical research · 2025Article
- HOMER3 and its correlation with immune-infiltrating M2 macrophages in colorectal cancer.Discover oncology · 2025Article
- Single cell analysis and bioinformatics reveal pyroptosis mechanisms in hepatocellular carcinoma.Discover oncology · 2025Article
- NUF2 and NEK2 promote malignant progression of gallbladder cancer by remodeling the extracellular matrix.Carcinogenesis · 2025Article
- Cellular Senescence in Hepatocellular Carcinoma: Immune Microenvironment Insights via Machine Learning and In Vitro Experiments.International journal of molecular sciences · 2025Article
- The regulatory role of lncRNA in tumor drug resistance: refracting light through a narrow aperture.Oncology research · 2025Review
- Screening and molecular docking verification of feature genes related to phospholipid metabolism in hepatocarcinoma caused by hepatitis B.Lipids in health and disease · 2024Article
- The role of kinesin family members in hepatobiliary carcinomas: from bench to bedside.Biomarker research · 2024Review
- Article
- A Gluconeogenesis-Related Genes Model for Predicting Prognosis, Tumor Microenvironment Infiltration, and Drug Sensitivity in Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2024Article
- Role of hippo pathway and cuproptosis-related genes in immune infiltration and prognosis of skin cutaneous melanoma.Frontiers in pharmacology · 2024Article
- TCHH as a Novel Prognostic Biomarker for Patients with Gastric Cancer by Bioinformatics Analysis.Clinical and experimental gastroenterology · 2024Article
- Differentially expressed circRNAs in peripheral blood samples as potential biomarkers and therapeutic targets for acute angle-closure glaucoma.Scientific reports · 2023Article
- Bioinformatics prediction and experimental verification identify cuproptosis-related lncRNA as prognosis biomarkers of hepatocellular carcinoma.Biochemistry and biophysics reports · 2023Article
- Dipeptidase‑2 is a prognostic marker in lung adenocarcinoma that is correlated with its sensitivity to cisplatin.Oncology reports · 2023Article
- Human bone marrow-derived mesenchymal stem overexpressing microRNA-124-3p inhibit DLBCL progression by downregulating the NFATc1/cMYC pathway.Stem cell research & therapy · 2023Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer‑related deaths among cancer patients. Genes correlated with the progression and prognosis of HCC are critically needed to be identified. In the present study, 3 Gene Expression Omnibus (GEO) datasets (GSE46408, GSE65372 and GSE84402) were used to analyze the differentially expressed genes (DEGs) between HCC and non‑tumor liver tissues. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to clarify the functional roles of DEGs. A protein‑protein interaction network was established to screen the hub genes associated with HCC. The prognostic values of hub genes in HCC patients were analyzed using The Cancer Genome Atlas (TCGA) database. The expression levels of hub genes were validated based on ONCOMINE, TCGA and Human Protein Atlas (HPA) databases. Notably, 56 upregulated and 33 downregulated DEGs were markedly enriched under various GO terms and four KEGG terms. Among these DEGs, 10 hub genes with high connectivity degree were identified, including cyclin B1, cyclin A2, cyclin B2, condensin complex subunit 3, PDZ binding kinase, nucleolar and spindle‑associated protein 1, aurora kinase A, ZW10 interacting kinetochore protein, protein regulator of cytokinesis 1 and kinesin family member 4A. The upregulated expression levels of these hub genes in HCC tissues were further confirmed by ONCOMINE, TCGA, and HPA databases. Additionally, the increased mRNA expression of each hub gene was related to the unfavorable disease‑free survival and overall survival of HCC patients. The present study identified ten genes associated with HCC, which may help to provide candidate targets for the diagnosis and treatment of HCC.
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