Comprehensive analysis of metabolism-related gene biomarkers reveals their impact on the diagnosis and prognosis of triple-negative breast cancer
This study established a robust prognostic model capable of accurately predicting clinical outcomes and metastasis, which could aid in personalized clinical decision-making.
Authors
- Kunkai Su (ORCID: https://orcid.org/0000-0001-7075-3153)
- Hongyan Diao (ORCID: https://orcid.org/0000-0002-7197-4051)
- Xueyao Wang (ORCID: https://orcid.org/0009-0009-9386-0088)
- Yanbo Wang (ORCID: https://orcid.org/0000-0002-1036-7856)
- Yuyun Yu (ORCID: https://orcid.org/0000-0002-8515-3019)
- Wenjie Tang (ORCID: https://orcid.org/0000-0001-5665-3412)
- Yanhui Zhang (ORCID: https://orcid.org/0000-0002-2179-2065)
- Miaomiao Liu (ORCID: https://orcid.org/0000-0003-0930-3617)
- Tao Wang (ORCID: https://orcid.org/0000-0003-2952-8397)
- Weibin Ren
- Long Yang
Institutions
- First Affiliated Hospital Zhejiang University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-04-11
- DOI
- https://doi.org/10.1186/s12885-025-14053-8
- Citations
- 2
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 3.04
Funders
- Zhejiang University