ArticleJournal of gastrointestinal oncology2021
ANTXR1 as a potential prognostic biomarker for hepatitis B virus-related hepatocellular carcinoma identified by a weighted gene correlation network analysis.
Article in Journal of gastrointestinal oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 7 citations in OpenAlex.
- THBS2 as a Key Regulator in Gastrointestinal Tumors: from Molecular Mechanisms to Clinical Applications.Current oncology reports · 2026Review
- Roles and molecular mechanisms of EMILIN-1 in physiology and disease: a narrative review.Frontiers in medicine · 2026Review
- Blurring the Anatomical Lines in Extrahepatic Cholangiocarcinoma: An Integrated Clinic-Oncological and Exploratory Proteomic Comparison of Perihilar and Distal Tumors.Annals of surgical oncology · 2025Article
- A comparison of hepatitis B virus- and hepatitis C virus-related hepatocellular carcinoma: a bioinformatics analysis.Translational cancer research · 2025Article
- The mechanosensitive protein ANTXR1 is involved in maintaining cartilage homeostasis in post-traumatic osteoarthritis.Frontiers in cell and developmental biology · 2025Article
- Review
- Rhodanese-Fold Containing Proteins in Humans: Not Just Key Players in Sulfur Trafficking.Antioxidants (Basel, Switzerland) · 2023Review
- Low Expression of TSTD2 Serves as a Biomarker for Poor Prognosis in Kidney Renal Clear Cell Carcinoma.International journal of general medicine · 2023Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith high incidence and mortality rates, hepatocellular carcinoma (HCC) is one of the most prevalent malignant tumors worldwide. Chronic hepatitis B virus (HBV) infection is a leading cause of HCC, especially for Asians and blacks. However, the molecular mechanisms underlying HBV-related HCC are unclear. This study sought to identify novel prognostic biomarkers and explore the potential pathogenesis of HBV-related HCC.
methodsThe gene expression profiles and corresponding clinical information of HCC from The Cancer Genome Atlas Liver Hepatocellular Carcinoma data set were analyzed by a weighted gene co-expression network analysis. Correlations between the co-expression modules and clinical traits were calculated. Next, key modules associated with HBV infection were identified. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were conducted for the genes in the key modules. The hub genes were identified based on the protein-protein interaction (PPI) network via the Cytoscape. Finally, an overall survival (OS) analysis was performed.
resultsThe two modules (i.e., the brown and yellow modules) most relevant to HBV infection were constructed. A functional enrichment analysis revealed that the genes in the two modules were mainly enriched in HCC-related pathways, such as the phosphatidylinositol-3-kinase and protein kinase B signaling pathway, focal adhesion, human papillomavirus infection, the Rap1 signaling pathway, and the cyclic guanosine monophosphate-dependent protein kinase (cGMP-PKG) signaling pathway. Ten hub genes [i.e.,
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