Establishment and clinical application of a prognostic index for inflammatory status in triple-negative breast cancer patients undergoing neoadjuvant therapy using machine learning
ANLR was associated with the prognosis of TNBC patients receiving neoadjuvant therapy and could identify high-risk postoperative patients.
Authors
- Mingqiang Ding
- Shuanglong Xue
- Hao Sun (ORCID: https://orcid.org/0000-0002-9606-9066)
- Abiyasi Nanding (ORCID: https://orcid.org/0000-0002-8343-0721)
- Tianyi Liu (ORCID: https://orcid.org/0000-0002-2624-7146)
- Jingna Zhu
- Ge Lou
- Yue Gao (ORCID: https://orcid.org/0000-0002-9217-5021)
- Jian Liang (ORCID: https://orcid.org/0000-0001-5352-0278)
- Yingjie Li (ORCID: https://orcid.org/0000-0001-6091-8911)
- Lei Zhong (ORCID: https://orcid.org/0000-0002-0208-1823)
- Xiaoyan Zhang (ORCID: https://orcid.org/0009-0006-4262-2977)
Institutions
- Harbin Medical University (CN)
- Third Affiliated Hospital of Harbin Medical University (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1186/s12885-024-13354-8
- Citations
- 3
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.85
Funders
- Harbin Medical University
- National Natural Science Foundation of China