ArticleCurrent issues in molecular biology2023
Identifying Network Biomarkers in Early Diagnosis of Hepatocellular Carcinoma via miRNA-Gene Interaction Network Analysis.
Article in Current issues in molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Molecular Pharmacology at the Crossroads of Precision Medicine.Current issues in molecular biology · 2025Article
- Unveiling miRNA-Gene Regulatory Axes as Promising Biomarkers for Liver Cirrhosis and Hepatocellular Carcinoma.ACS omega · 2024Article
- Novel Biomarkers for Early Detection of Hepatocellular Carcinoma.Diagnostics (Basel, Switzerland) · 2024Review
- miR-331-5p Affects Motility of Thyroid Cancer Cell Lines and Regulates BID Expression.Biomedicines · 2024Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundHepatocellular carcinoma (HCC) is a highly heterogeneous cancer at the histological level. Despite the emergence of new biological technology, advanced-stage HCC remains largely incurable. The prediction of a cancer biomarker is a key problem for targeted therapy in the disease.
methodsWe performed a miRNA-gene integrated analysis to identify differentially expressed miRNAs (DEMs) and genes (DEGs) of HCC. The DEM-DEG interaction network was constructed and analyzed. Gene ontology enrichment and survival analyses were also performed in this study.
resultsBy the analysis of healthy and tumor samples, we found that 94 DEGs and 25 DEMs were significantly differentially expressed in different datasets. Gene ontology enrichment analysis showed that these 94 DEGs were significantly enriched in the term "Liver" with a statistical
conclusionWe believe that our study could provide critical clinical biomarkers for the targeted therapy of HCC.
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