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  11. Screening And Molecular Docking Verification Of Feature Genes Related To Phospholipid Metabolism In Hepatocarcinoma Caused By Hepatitis B

Screening and molecular docking verification of feature genes related to phospholipid metabolism in hepatocarcinoma caused by hepatitis B

Jian Zhang1, Fengmei Zhang2, Lei Zhang3

  • 1Department of Clinical Laboratory, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China.

Lipids in Health and Disease
|August 24, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

This study identifies seven key genes involved in abnormal phospholipid metabolism in hepatitis B virus-associated hepatocarcinoma. These findings offer potential new therapeutic targets for treating this liver cancer.

Area of Science:

  • Oncology
  • Metabolomics
  • Bioinformatics

Background:

  • Abnormal phospholipid metabolism is linked to tumor progression.
  • Hepatocellular carcinoma (HCC) driven by hepatitis B virus (HBV) requires novel therapeutic strategies.
  • Understanding metabolic dysregulation in HBV-related HCC is crucial.

Purpose of the Study:

  • To identify key genes and molecular mechanisms in phospholipid metabolism relevant to HBV-associated HCC.
  • To explore potential therapeutic targets for HBV-related HCC based on metabolic pathways.
  • To provide a bioinformatics-driven perspective on liver cancer treatment.

Main Methods:

  • Differential gene expression analysis of dataset GSE121248 to identify differentially expressed genes (DEGs).
  • Intersection of DEGs with metabolism-related genes, focusing on phospholipid metabolism.
Keywords:
BioinformaticsHepatocellular carcinomaMetabolomics

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  • Functional enrichment analysis and network construction to identify feature genes.
  • Validation using The Cancer Genome Atlas (TCGA) database, immune infiltration analysis, and metabolomics.
  • Molecular docking to confirm interactions between metabolites and feature genes.

    • Main Results:

    • Seven hub genes (PTGS2, IGF1, SPP1, BCHE, NR1I2, NAMPT, FABP1) were identified as critical in phospholipid metabolism.
    • These feature genes demonstrated diagnostic value in the TCGA database.
    • Feature genes were found to influence the infiltration of various immune cells.
    • Distinct phospholipid metabolism metabolites were identified between HCC patients and healthy individuals.
    • Molecular docking confirmed the role of metabolites in disease pathogenesis by targeting feature genes.

    Conclusions:

    • This study is the first to utilize bioinformatics to reveal the involvement of phospholipid metabolism-related genes in HBV-associated HCC.
    • The identified genes and their associated metabolites represent potential therapeutic targets for future liver cancer treatment.
    • The findings offer insights into the molecular mechanisms underlying HBV-related hepatocarcinoma progression.