Prediction model incorporating dynamic changes in serum tumor markers for evaluating the efficacy of neoadjuvant chemotherapy in patients with breast cancer: a retrospective cohort study
This study developed and validated nomogram models using clinicopathological features and serum tumor marker characteristics to predict NAC efficacy in BC patients. Although the dynamic model demonstrated comparable discriminative ability (AUC) to the pre-chemotherapy model in the test cohort, it showed significantly improved performance in net reclassification. While promising, this model requires further validation in multi-center prospective studies before clinical application.
Authors
- Rui Zhang (ORCID: https://orcid.org/0000-0003-4944-5791)
- Xiaoduo Li (ORCID: https://orcid.org/0000-0003-4279-1763)
- Jianjun He (ORCID: https://orcid.org/0000-0001-9779-2662)
- Huimin Zhang (ORCID: https://orcid.org/0000-0002-2972-3574)
- Junjie Liu (ORCID: https://orcid.org/0000-0001-7060-6663)
- Xiaoqian Li (ORCID: https://orcid.org/0000-0003-3330-1267)
- Z. Wang (ORCID: https://orcid.org/0000-0002-0928-2070)
- Kexuan Feng
Institutions
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-12-12
- DOI
- https://doi.org/10.1186/s40001-025-03468-5
- Primary Topic
- Breast Cancer Treatment Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Key Research and Development Projects of Shaanxi Province