Machine learning identification of key genes in cardioembolic stroke and atherosclerosis: their association with pan-cancer and immune cells
In summary, the diagnostic model based on the FR-related gene PTGS2 demonstrated significant and specific diagnostic value for CS and AS, reflecting the status of blood lymphocytes, monocytes, and neutrophils. A pan-cancer study suggested it could serve as a new clinical prognostic marker and therapeutic target across various cancer types. This model may aid in the diagnosis of CS and AS. The findings offer new insights into the pathogenesis of these diseases.
Authors
- Chunhui Yuan (ORCID: https://orcid.org/0000-0002-0922-4209)
- Ning Cheng (ORCID: https://orcid.org/0000-0003-0300-9791)
- Mo Chen (ORCID: https://orcid.org/0000-0002-6647-8483)
- Tianxiang Zhang (ORCID: https://orcid.org/0000-0001-5058-3003)
- Wei Shao (ORCID: https://orcid.org/0000-0002-9401-1186)
- Jinjiang Liu (ORCID: https://orcid.org/0009-0004-7292-009X)
Institutions
- Hainan University (CN)
- Nanyang Normal University (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-07-24
- DOI
- https://doi.org/10.1186/s40001-025-02940-6
- Primary Topic
- Atherosclerosis and Cardiovascular Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China