Nomograms Integrating Body Composition Metrics Predict Total Pathologic Complete Remission after Neoadjuvant Systemic Therapy for Breast Cancer
Existing tpCR prediction models mostly focus on tumor biological characteristics and ignore the effect of body compositions. This study constructed a nomogram to predict tpCR in patients with breast cancer undergoing NST based on baseline and body composition indicators. This nomogram can help assess efficacy and optimize treatment strategies, thus improving the overall prognosis of patients.
Authors
- Ding Ren Shen (ORCID: https://orcid.org/0000-0002-3336-1836)
- Jingjing Ding (ORCID: https://orcid.org/0000-0002-9700-4504)
- Xiaoming Zha
- Lu Xu (ORCID: https://orcid.org/0000-0002-6013-0742)
- Mingyu Wang (ORCID: https://orcid.org/0000-0002-6622-5996)
- Yuanyuan Wang (ORCID: https://orcid.org/0000-0003-4881-6044)
- Hao Yao (ORCID: https://orcid.org/0000-0002-5246-5550)
- Junhan Li
- Yichun Gong
- Xingye Sheng
- Jue Wang (ORCID: https://orcid.org/0009-0003-6234-8627)
Institutions
- Jiangsu Province Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Cancer Research and Treatment
- Published
- 2025-08-18
- DOI
- https://doi.org/10.4143/crt.2025.456
- Primary Topic
- Breast Cancer Treatment Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Government of Jiangsu Province
- Chinese Society of Clinical Oncology