Assessment of the impact of residual tumors at different sites post-neoadjuvant chemotherapy on prognosis in breast cancer patients and development of a disease-free survival prediction model
- Hanzhao Yang 1, Yuxia Ruan 1, Yadong Sun 1, Peili Wang 1, Jianghua Qiao 1, Chengzheng Wang 1, Zhenzhen Liu 2
- Hanzhao Yang 1, Yuxia Ruan 1, Yadong Sun 1
- 1Department of Breast Disease, Henan Breast Cancer Center, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China.
- 2Department of Breast Disease, Henan Breast Cancer Center, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, No. 127, Dongming Road, Zhengzhou 450008, China.
- 0Department of Breast Disease, Henan Breast Cancer Center, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China.
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View abstract on PubMed
Summary
This summary is machine-generated.Residual breast cancer in lymph nodes after neoadjuvant chemotherapy (NAC) significantly lowers disease-free survival (DFS). A new nomogram predicts DFS, aiding personalized treatment for breast cancer patients.
Area Of Science
- Oncology
- Breast Cancer Research
- Chemotherapy Efficacy
Background
- Residual disease post-neoadjuvant chemotherapy (NAC) in breast cancer is linked to poorer outcomes.
- The prognostic impact of residual tumor location (breast vs. lymph nodes) is not well understood.
Purpose Of The Study
- To evaluate disease-free survival (DFS) based on residual tumor site after NAC.
- To develop and validate a nomogram for predicting 1- to 3-year DFS in breast cancer patients with residual disease.
Main Methods
- Retrospective analysis of 953 lymph node-positive breast cancer patients with residual disease post-NAC.
- Patients classified into residual disease in breast (RDB), lymph nodes (RDN), or both (RDBN).
- Developed a nomogram using training/validation sets, incorporating TNM stage, molecular subtype, and pathological response.
Main Results
- Patients with residual disease only in the breast (RDB) showed significantly better 3-year DFS (94.6%) compared to those with lymph node involvement (RDN: 85.2%; RDBN: 81.8%).
- Clinical T stage, N stage, molecular subtype, and postoperative pN stage were independent predictors of DFS.
- The nomogram demonstrated good predictive performance (C-index 0.748 training, 0.796 validation).
Conclusions
- The anatomical site of residual disease after NAC significantly impacts DFS, with lymph node involvement indicating a worse prognosis.
- A validated nomogram can aid in personalized DFS prediction, guiding treatment decisions for breast cancer patients.
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