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Refined risk stratification in residual triple-negative breast cancer after neoadjuvant therapy using residual cancer burden class and lymphovascular invasion.

Breast cancer research and treatment 2026 Vol.215(3) p. 76

Lee TH, Lee H, Jang JY, Park W, Cho WK, Cho EY, Ahn JS, Park YH, Nam SJ, Kim SW, Lee JE, Kim H

📝 환자 설명용 한 줄

[PURPOSE] This study aimed to identify prognostic factors and to stratify recurrence risk using a prognostic model incorporating the identified factors in patients with residual triple-negative breast

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value p < 0.001
  • p-value p = 0.026
  • 95% CI 0.006-0.070
  • 추적기간 61.6 months

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BibTeX ↓ RIS ↓
APA Lee TH, Lee H, et al. (2026). Refined risk stratification in residual triple-negative breast cancer after neoadjuvant therapy using residual cancer burden class and lymphovascular invasion.. Breast cancer research and treatment, 215(3), 76. https://doi.org/10.1007/s10549-026-07906-8
MLA Lee TH, et al.. "Refined risk stratification in residual triple-negative breast cancer after neoadjuvant therapy using residual cancer burden class and lymphovascular invasion.." Breast cancer research and treatment, vol. 215, no. 3, 2026, pp. 76.
PMID 41642482

Abstract

[PURPOSE] This study aimed to identify prognostic factors and to stratify recurrence risk using a prognostic model incorporating the identified factors in patients with residual triple-negative breast cancer (TNBC) following neoadjuvant systemic therapy (NST).

[METHODS] A retrospective analysis was conducted using data from a prospectively collected single-institution database. Eligible patients had residual TNBC after NST and curative surgery between 2007 and 2020 and completed planned postoperative radiotherapy. Prognostic factors for disease-free survival (DFS) were identified using multivariable Cox proportional hazards regression. Risk groups were stratified according to the number of these factors.

[RESULTS] A total of 347 patients were included. With a median follow-up of 61.6 months, the 5-year DFS and overall survival rates were 62.5% and 73.9%, respectively. Lymphovascular invasion (LVI) positivity and residual cancer burden (RCB) class 3 were significant risk factors for worse DFS. The 5-year DFS rates were 82.9% (0 factor), 55.7% (1 factor), and 20.0% (2 factors) (p < 0.001). The new three-tiered stratification using LVI positivity and RCB class 3 demonstrated a higher concordance index compared to RCB class (bootstrap-estimated difference 0.038, 95% CI 0.006-0.070, p = 0.026). Adjuvant capecitabine was associated with improved 5-year DFS in patients with 1 risk factor (71.9% vs. 44.2%, p = 0.027), but not in those with 0 (83.1% vs. 81.7%, p = 0.548) or 2 factors (29.2% vs. 14.6%, p = 0.066).

[CONCLUSION] Patients with residual TNBC can be stratified into risk groups based on LVI and RCB class. The effect of adjuvant treatment varied across these groups. This model may support more tailored adjuvant treatment decisions after NST.

MeSH Terms

Humans; Triple Negative Breast Neoplasms; Female; Middle Aged; Neoadjuvant Therapy; Retrospective Studies; Adult; Aged; Neoplasm, Residual; Prognosis; Risk Assessment; Neoplasm Invasiveness; Tumor Burden; Neoplasm Recurrence, Local; Risk Factors; Lymphatic Metastasis