ArticleExperimental and therapeutic medicine2016
Identification of hub genes and pathways associated with hepatocellular carcinoma based on network strategy.
Article in Experimental and therapeutic medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Integrative bioinformatics frameworks for abdominal aortic aneurysm using GWAS meta-analysis, biological network construction, and structural modeling.Scientific reports · 2025Pooled it
- Transcriptomic analysis delineates potential signature genes and miRNAs associated with the pathogenesis of asthma.Scientific reports · 2020Pooled it
- Graph-based and molecular modeling approaches to identify TpiA as a noval therapeutic target in Neisseria meningitidis.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Characteristics of extracellular vesicle-derived lncRNAs during the progression of HBV-related hepatocellular carcinoma.BMC cancer · 2025Article
- Network-based approach identifies key genes associated with tumor heterogeneity in HPV positive and negative head and neck cancer patients.Scientific reports · 2025Article
- Integrative systems biology framework discovers common gene regulatory signatures in mechanistically distinct inflammatory skin diseases.NPJ systems biology and applications · 2025Article
- Cross-disease transcriptomic analysis reveals DOK3 and PAPOLA as therapeutic targets for neuroinflammatory and tumorigenic processes.Frontiers in immunology · 2024Article
- Identifying Tumor-Associated Genes from Bilayer Networks of DNA Methylation Sites and RNAs.Life (Basel, Switzerland) · 2022Article
- Bioinformatics analyses of gene expression profile identify key genes and functional pathways involved in cutaneous lupus erythematosus.Clinical rheumatology · 2022Article
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- Degree and centrality-based approaches in network-based variable selection: Insights from the Singapore Longitudinal Aging Study.PloS one · 2019Article
- Using Coexpression Protein Interaction Network Analysis to Identify Mechanisms of Danshensu Affecting Patients with Coronary Heart Disease.International journal of molecular sciences · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of this study was to identify hub genes and pathways associated with hepatocellular carcinoma (HCC) by centrality analysis of a co-expression network. A co-expression network based on differentially expressed (DE) genes of HCC was constructed using the Differentially Co-expressed Genes and Links (DCGL) package. Centrality analyses, for centrality of degree, clustering coefficient, closeness, stress and betweenness for the co-expression network were performed to identify hub genes, and the hub genes were combined together to overcome inconsistent results. Enrichment analyses were conducted using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases. Finally, validation of hub genes was conducted utilizing reverse transcription-polymerase chain reaction (RT-PCR) analysis. In total, 260 DE genes between normal controls and HCC patients were obtained and a co-expression network with 154 nodes and 326 edges was constructed. From this, 13 hub genes were identified according to degree, clustering coefficient, closeness, stress and betweenness centrality analysis. It was found that reelin (
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