Volume 22 Issue 12
Dec.  2024
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Article Navigation >  Chinese Journal of General Practice  > 2024  >  22(12): 2139-2143
QIU Tian, QU Xiangyu, LI Haoling, XIA Wenqing, DAI Hengwen, GU Lin. The relationship between ceRNA network construction and prognosis of hepatocellular carcinoma based on UCSC database[J]. Chinese Journal of General Practice, 2024, 22(12): 2139-2143. doi: 10.16766/j.cnki.issn.1674-4152.003816
Citation: QIU Tian, QU Xiangyu, LI Haoling, XIA Wenqing, DAI Hengwen, GU Lin. The relationship between ceRNA network construction and prognosis of hepatocellular carcinoma based on UCSC database[J]. Chinese Journal of General Practice, 2024, 22(12): 2139-2143. doi: 10.16766/j.cnki.issn.1674-4152.003816
shu

The relationship between ceRNA network construction and prognosis of hepatocellular carcinoma based on UCSC database

doi: 10.16766/j.cnki.issn.1674-4152.003816
  • 1.

    School of Clinical Medicine, Bengbu Medical University, Bengbu, Anhui 233000, China

Funds:

 2022AH051489

 S202210367142

  • Received Date: 2024-02-13
    Available Online: 2025-01-20
    Abstract
  •   Objective  To construct and investigate a prognostic-related competitive endogenous RNA network in hepatocellular carcinoma and explore its clinical implications.  Methods  The genetic RNA, mRNA sequencing data, and clinical data for HCC were obtained from the UCSC Xena database. Firstly, differential expression and survival analyses were used to identify high-risk genes. The KS test, logistic regression, and univariate and multivariate Cox regression analyses were used to determine the potential of these genes as independent prognostic factors. The associated biological pathways were analyzed by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. After that, ENCORI was used to predict miRNA target genes. The ceRNA network was constructed using the Cytoscape tool.  Results  A direct regulatory relationship was found between hsa-miR-101-3p and 25 lncRNAs, with 6 lncRNAs identified as competitive binders to miRNAs. Among them, GSEC exhibited the strongest correlation with the co-expression of hsa-miR-101-3p and STIP1 (r=-0.380, r=0.490), suggesting its potential role as a regulatory axis in regulating hepatocellular carcinoma proliferation, invasion, and apoptosis.  Conclusion  The regulatory network of STIP1/hsa-miR-101-3p/lncRNA GSEC identified in hepatocellular carcinoma provides valuable insights into the molecular biological mechanisms of HCC, and lncRNA may serve as a potential prognostic biomarker for HCC patients.

     

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