ArticleComputational and mathematical methods in medicine2021
Identification of 5 Hub Genes Related to the Early Diagnosis, Tumour Stage, and Poor Outcomes of Hepatitis B Virus-Related Hepatocellular Carcinoma by Bioinformatics Analysis.
Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Bibliometric study of neuroinflammation in autism spectrum disorder.Frontiers in psychiatry · 2023Pooled it
- Exploring Cuproptosis-Related Prognostic Signature for Hepatocellular Carcinoma: Bioinformatics and In Vitro Analyses.Digestive diseases and sciences · 2026Article
- Identification of lysine crotonylation-driven molecular clusters and immune dysregulation in HBV-related hepatocellular carcinoma via bioinformatics and machine learning.Translational cancer research · 2025Article
- PSMD14/E2F1 Axis-Mediated CENPF Promotes the Metastasis of Triple-Negative Breast Cancer Through Inhibiting Ferroptosis.Cancer science · 2025Article
- Article
- Recent updates of centromere proteins in hepatocellular carcinoma: a review.Infectious agents and cancer · 2025Review
- Identification of RAD51AP1 as a key gene in hepatitis B virus-associated hepatocellular carcinoma.Heliyon · 2025Article
- Unravelling Phyto-Compound Therapeutics Against Colorectal Cancer: Targeting SRC proto-oncogene via Fibroblast Growth Factor Signalling Pathway -A Comprehensive Approach Integrating Omics Data Analysis, Network Pharmacology, Virtual Screening, and Molecular Dynamics.Recent advances in food, nutrition & agriculture · 2025Article
- CEP55: Implications for Immunotherapy and Survival in Hepatocellular Carcinoma.Combinatorial chemistry & high throughput screening · 2025Article
- Statistical and machine learning based platform-independent key genes identification for hepatocellular carcinoma.PloS one · 2025Article
- Machine Learning Approach and Bioinformatics Analysis Discovered Key Genomic Signatures for Hepatitis B Virus-Associated Hepatocyte Remodeling and Hepatocellular Carcinoma.Cancer informatics · 2025Review
- CENPs in hepatocellular carcinoma: a comprehensive review of expression patterns, clinical correlations, and functional mechanisms.American journal of cancer research · 2025Review
- Construction and validation of a joint diagnosis model based on random forest and artificial intelligence network for hepatitis B-related hepatocellular carcinoma.Translational cancer research · 2024Article
- Identification of metabolic biomarkers associated with nonalcoholic fatty liver disease.Lipids in health and disease · 2023Article
- Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning.Scientific reports · 2023Article
- Integrated Bioinformatics and Experimental Analysis Identified TRIM28 a Potential Prognostic Biomarker and Correlated with Immune Infiltrates in Liver Hepatocellular Carcinoma.Computational and mathematical methods in medicine · 2022Article
- A Prognosis Marker Dynein Cytoplasmic 1 Heavy Chain 1 Correlates with EMT and Immune Signature in Liver Hepatocellular Carcinoma by Bioinformatics and Experimental Analysis.Disease markers · 2022Article
- CD137 Regulates Bone LossFrontiers in endocrinology · 2022Article
- Identification of hub genes for early detection of bone metastasis in breast cancer.Frontiers in endocrinology · 2022Article
- N7-Methylguanosine Genes Related Prognostic Biomarker in Hepatocellular Carcinoma.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe majority of primary liver cancers in adults worldwide are hepatocellular carcinomas (HCCs, or hepatomas). Thus, a deep understanding of the underlying mechanisms for the pathogenesis and carcinogenesis of HCC at the molecular level could facilitate the development of novel early diagnostic and therapeutic treatments to improve the approaches and prognosis for HCC patients. Our study elucidates the underlying molecular mechanisms of HBV-HCC development and progression and identifies important genes related to the early diagnosis, tumour stage, and poor outcomes of HCC.
methodsGSE55092 and GSE121248 gene expression profiling data were downloaded from the Gene Expression Omnibus (GEO) database. There were 119 HCC samples and 128 nontumour tissue samples. GEO2R was used to screen for differentially expressed genes (DEGs). Volcano plots and Venn diagrams were drawn by using the ggplot2 package in R. A heat map was generated by using Heatmapper. By using the clusterProfiler R package, KEGG and GO enrichment analyses of DEGs were conducted. Through PPI network construction using the STRING database, key hub genes were identified by cytoHubba. Finally, KM survival curves and ROC curves were generated to validate hub gene expression.
resultsBy GO enrichment analysis, 694 DEGs were enriched in the following GO terms: organic acid catabolic process, carboxylic acid catabolic process, carboxylic acid biosynthetic process, collagen-containing extracellular matrix, blood microparticle, condensed chromosome kinetochore, arachidonic acid epoxygenase activity, arachidonic acid monooxygenase activity, and monooxygenase activity. In the KEGG pathway enrichment analysis, DEGs were enriched in arachidonic acid epoxygenase activity, arachidonic acid monooxygenase activity, and monooxygenase activity. By PPI network construction and analysis of hub genes, we selected the top 10 genes, including CDK1, CCNB2, CDC20, BUB1, BUB1B, CCNB1, NDC80, CENPF, MAD2L1, and NUF2. By using TCGA and THPA databases, we found five genes, CDK1, CDC20, CCNB1, CENPF, and MAD2L1, that were related to the early diagnosis, tumour stage, and poor outcomes of HBV-HCC.
conclusionsFive abnormally expressed hub genes of HBV-HCC are informative for early diagnosis, tumour stage determination, and poor outcome prediction.
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