Athero-oncology perspective: identifying hub genes for atherosclerosis diagnosis using machine learning
This study integrates cancer gene sets to identify key hub genes in atherosclerosis, emphasizing its parallels with cancer. The diagnostic nomogram based on IRF7, FHOD1, and TNF provides a reliable tool for early diagnosis, while insights into SMC phenotypic switching and immune microenvironment modulation offer potential therapeutic targets.
Authors
- Qi Ai (ORCID: https://orcid.org/0000-0002-6501-3051)
- Qinhui Tuo (ORCID: https://orcid.org/0000-0002-4157-6343)
- Xinru Li (ORCID: https://orcid.org/0000-0001-9802-3275)
- Jie Zhou (ORCID: https://orcid.org/0000-0003-0767-0835)
- Liyan Zhao
- Wen‐Cheng Chen (ORCID: https://orcid.org/0000-0002-5581-9991)
- Xuzhen Lv
Institutions
- Hunan University of Traditional Chinese Medicine (CN)
- Hunan University (CN)
- Ningxia Medical University (CN)
- Ningxia Medical University General Hospital (CN)
- The Fourth People's Hospital of Ningxia Hui Autonomous Region (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-11-04
- DOI
- https://doi.org/10.3389/fimmu.2025.1616096
- Primary Topic
- Atherosclerosis and Cardiovascular Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00