Machine learning-based multi-omic analysis identifies CEP55, DLGAP5, and EZH2 as regulated cell death biomarkers

Dinara Azanbayeva1, Awais Ali2, Omneya Abdelkarem3

  • 1Department of dermatovenereology and Dermatocosmetology- NJSC, Astana Medical University, Astana, Kazakhstan.

Insights

Regulated cell death (RCD) genes impact hepatocellular carcinoma (HCC) immunotherapy response. CEP55, DLGAP5, and EZH2 are key prognostic markers linked to immune suppression and anti-PD-1 resistance in HCC.

Area of Science:

  • Oncology
  • Immunology
  • Molecular Biology

Background:

  • Hepatocellular carcinoma (HCC) shows poor response to immune checkpoint inhibitors (ICIs) due to immunosuppressive tumor microenvironments.
  • Regulated cell death (RCD) pathways (ferroptosis, necroptosis, pyroptosis) have immunogenic potential but their prognostic role in HCC and relation to ICI resistance is unclear.

Purpose of the Study:

  • To investigate the prognostic significance of RCD-related genes in HCC.
  • To explore the association between RCD-related genes, immune suppression, and resistance to anti-PD-1 therapy in HCC.

Main Methods:

  • Analysis of two bulk RNA-seq datasets (GSE181947, GSE248516) to identify differentially expressed RCD-related genes (DE-RCDRGs).
  • Functional enrichment, protein-protein interaction, survival analyses, clinical correlation, and epigenetic analysis were performed.
  • Expression validation in HCC cell lines and in silico structural characterization of deleterious nsSNPs.

Main Results:

  • Ten hub genes were identified, with CEP55, DLGAP5, and EZH2 highlighted as key prognostic markers.
  • These genes were overexpressed in HCC, correlated with advanced stage, poor differentiation, and aberrant DNA methylation.
  • Functional enrichment implicated these genes in oxidative stress, mitotic regulation, and epigenetic control, with specific expression patterns in HCC cell lines.

Conclusions:

  • CEP55, DLGAP5, and EZH2 are identified as novel RCD-associated biomarkers in HCC.
  • These biomarkers are linked to immune suppression and immunotherapy resistance, suggesting potential therapeutic targets.

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