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Machine learning identification of key genes in cardioembolic stroke and atherosclerosis: their association with pan-cancer and immune cells

  • 0Henan Digital Image and Intelligent Processing of Big Data Engineering Research Center, College of Life Science and Agricultural Engineering, Nanyang Normal University, Nanyang, 473000, China.
European Journal of Medical Research +

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July 24, 2025

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July 24, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study identifies ferroptosis-related genes, like PTGS2, as key players in cardioembolic stroke and atherosclerosis. These genes show diagnostic potential and may offer new therapeutic targets for these conditions and certain cancers.

Area Of Science

  • Biomedical research
  • Genomics
  • Molecular biology

Background

  • Cardioembolic stroke (CS) and atherosclerosis (AS) are linked, with ferroptosis potentially playing a role.
  • The exact mechanisms of ferroptosis in CS and AS remain unclear.
  • Identifying shared genes and pathways is crucial for understanding disease pathogenesis.

Purpose Of The Study

  • To identify hub genes and pathways involved in both cardioembolic stroke (CS) and atherosclerosis (AS).
  • To explore the role of ferroptosis-related genes in the development of CS and AS.
  • To develop a diagnostic model for CS and AS based on identified genes.

Main Methods

  • Utilized Gene Expression Omnibus datasets for CS and AS, along with ferroptosis-related gene data.
  • Analyzed differentially expressed genes (DEGs) and performed Gene Ontology and KEGG pathway analyses.
  • Employed LASSO regression and SVM-RFE to screen for overlapping ferroptosis-related DEGs (FRDEGs) and validated findings with qPCR.

Main Results

  • Identified 69 FRDEGs in CS and 39 in AS, with CIRBP, CREB5, MAPK14, PEBP1, and PTGS2 identified as hub genes.
  • Developed predictive models with an area under the curve > 0.7 for both CS and AS.
  • Found a correlation between neutrophil levels and hub gene expression, with elevated expression in certain cancers.

Conclusions

  • The ferroptosis-related gene PTGS2 shows significant diagnostic value for CS and AS, reflecting blood cell status.
  • PTGS2 may serve as a prognostic marker and therapeutic target in various cancers.
  • This research provides new insights into the pathogenesis of CS and AS and aids in their diagnosis.

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