Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer
This study identifies mitochondrial gene signatures associated with BC and proposes a computational model distinguishing tumor from normal tissue. These findings offer potential leads for future biomarker development but require additional clinical and functional validation.
Authors
- Jian Ren
- Dong Guo (ORCID: https://orcid.org/0000-0001-7057-2838)
- Weijia Kong (ORCID: https://orcid.org/0000-0001-5410-2297)
- Siyu Tong
- Xuanhe Tian
- Meng Liu (ORCID: https://orcid.org/0000-0001-5194-4229)
- Fei Teng (ORCID: https://orcid.org/0000-0001-9076-8862)
Institutions
- Shandong University of Traditional Chinese Medicine (CN)
- Beijing University of Chinese Medicine (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- China-Japan Friendship Hospital (CN)
- Guang’anmen Hospital (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-12-03
- DOI
- https://doi.org/10.3389/fimmu.2025.1712089
- Primary Topic
- Mitochondrial Function and Pathology
- Type
- article
- Field-Weighted Citation Impact
- 0.00