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

Journal: European journal of medical research
Published Date: Jul 24, 2025

Abstract

BACKGROUND: Cardioembolic stroke (CS) and atherosclerosis (AS) are closely related diseases. Ferroptosis, a novel form of programmed cell death, may play a key role in CS and AS. However, the pathophysiological mechanisms underlying their coexistence remain unclear. This study aims to identify the hub genes and pathways involved in developing both diseases.

Authors

  • Tianxiang Zhang
    Henan Digital Image and Intelligent Processing of Big Data Engineering Research Center, College of Life Science and Agricultural Engineering, Nanyang Normal University, Nanyang, 473000, China.
  • Chunhui Yuan
    Department of General Surgery, Peking University Third Hospital, Beijing, China.
  • Mo Chen
    School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, 710121 Xi'an, Shaanxi, China.
  • Jinjiang Liu
    Henan Digital Image and Intelligent Processing of Big Data Engineering Research Center, Computer Science and Technology, Nanyang Normal University, Nanyang, 473000, China.
  • Wei Shao
  • Ning Cheng
    Henan Digital Image and Intelligent Processing of Big Data Engineering Research Center, Computer Science and Technology, Nanyang Normal University, Nanyang, 473000, China. cnnynu@nynu.edu.cn.

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