Synergistic bioinformatics and sophisticated machine learning unveil ferroptosis-driven regulatory pathways and immunotherapy potential in breast carcinoma
The integration of bioinformatics and machine learning in this study underscores a strong correlation between FRG expression patterns and BRCA prognosis, affirming their potential as precise biomarkers for personalized immunotherapy.
Authors
- Zhaofeng Tan (ORCID: https://orcid.org/0000-0002-3808-1964)
- Lei Xia (ORCID: https://orcid.org/0009-0007-7623-8030)
- Man Zheng (ORCID: https://orcid.org/0009-0002-7437-0525)
- Zhen Ye (ORCID: https://orcid.org/0009-0000-8766-8262)
Institutions
- Wenzhou Medical University (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Longhua Hospital Shanghai University of Traditional Chinese Medicine (CN)
- Shandong Provincial Hospital (CN)
- Dongyang People's Hospital (CN)
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-05-04
- DOI
- https://doi.org/10.1007/s12672-025-02393-7
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00