ArticleInternational journal of environmental research and public health2020
Identification of Potentially Therapeutic Target Genes of Hepatocellular Carcinoma.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- The role and therapeutic value of NUSAP1 in human cancers.Journal of translational medicine · 2025Review
- Research progress on NUSAP1 and its role in digestive system neoplasms.Frontiers in oncology · 2025Review
- Upregulated expression ofJournal of gastrointestinal oncology · 2024Article
- Comprehensive analysis of prognostic value and immune infiltration of Regulator of Chromosome Condensation 2 in lung adenocarcinoma.Journal of Cancer · 2024Article
- The neurological and non-neurological roles of the primary microcephaly-associated protein ASPM.Frontiers in neuroscience · 2023Review
- Clinical Value of EZH2 in Hepatocellular Carcinoma and Its Potential for Target Therapy.Medicina (Kaunas, Lithuania) · 2022Article
- Article
- Identification of Key Exosome Gene Signature in Mediating Coronary Heart Disease by Weighted Gene Correlation Network Analysis.BioMed research international · 2021Article
- A Five-Gene-Based Prognostic Signature for Hepatocellular Carcinoma.Frontiers in medicine · 2021Article
- Identification of Hub Genes Associated With Hepatocellular Carcinoma Using Robust Rank Aggregation Combined With Weighted Gene Co-expression Network Analysis.Frontiers in genetics · 2020Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatocellular carcinoma (HCC) is a major threat to public health. However, few effective therapeutic strategies exist. We aimed to identify potentially therapeutic target genes of HCC by analyzing three gene expression profiles.
methodsThe gene expression profiles were analyzed with GEO2R, an interactive web tool for gene differential expression analysis, to identify common differentially expressed genes (DEGs). Functional enrichment analyses were then conducted followed by a protein-protein interaction (PPI) network construction with the common DEGs. The PPI network was employed to identify hub genes, and the expression level of the hub genes was validated via data mining the Oncomine database. Survival analysis was carried out to assess the prognosis of hub genes in HCC patients.
resultsA total of 51 common up-regulated DEGs and 201 down-regulated DEGs were obtained after gene differential expression analysis of the profiles. Functional enrichment analyses indicated that these common DEGs are linked to a series of cancer events. We finally identified 10 hub genes, six of which (
conclusionsWe identified six novel HCC hub genes that might be therapeutic targets for the development of drugs for some HCC patients.
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