Predictive model using systemic inflammation markers to assess neoadjuvant chemotherapy efficacy in breast cancer
This study demonstrated that lymph node status, NLR, and LMR had significant value in predicting pCR and prognosis in breast cancer patients. The RF model provides a simple and cost-effective tool for pCR prediction, offering strong support for clinical decision-making in breast cancer treatment and aiding in the optimization of individualized treatment strategies.
Authors
- Yulu Sun (ORCID: https://orcid.org/0000-0002-9625-5782)
- Hao Yu (ORCID: https://orcid.org/0000-0001-6724-9917)
- Yongzhong Yao
- Yinan Guan
- Jinqiu Tao
- Yin Zhang (ORCID: https://orcid.org/0000-0002-7146-9581)
- Weijie Zhang (ORCID: https://orcid.org/0000-0002-6462-6067)
Institutions
- Nanjing Drum Tower Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-03-24
- DOI
- https://doi.org/10.3389/fonc.2025.1552802
- Citations
- 6
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 6.27
Funders
- Bethune Charitable Foundation