Neuronal inflammatory genes-based machine learning model for breast cancer: a novel perspective on clinical prognosis and tumor immunity
The NIRGs-based prognostic model demonstrated good predictive performance. VDAC1 plays as a central role in tumor-immune cell interactions and neuronal inflammation. This study provides a novel perspective on neuronal inflammation and the prognosis and immunity of breast cancer, contributing to the identification of new therapeutic targets. The web tool facilitates clinical translation, bridging research and patient care.
Authors
- Tao‐Lan Zhang (ORCID: https://orcid.org/0000-0002-0049-128X)
- Hongxia Zhu (ORCID: https://orcid.org/0000-0002-6961-5957)
- Bo Hao (ORCID: https://orcid.org/0000-0002-9541-9263)
- Zhuo Li (ORCID: https://orcid.org/0000-0001-7775-2831)
- Hongxing Wang (ORCID: https://orcid.org/0000-0002-7942-9330)
- Jingdi Zhang (ORCID: https://orcid.org/0000-0003-1343-1929)
- Wendi Zhan
- Haihong Hu (ORCID: https://orcid.org/0000-0003-1799-864X)
- Siyu Wang (ORCID: https://orcid.org/0009-0003-5523-1631)
Institutions
- First Affiliated Hospital of University of South China (CN)
- University of South China (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-12-14
- DOI
- https://doi.org/10.1007/s12672-025-04022-9
- Primary Topic
- Neuroinflammation and Neurodegeneration Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.00