ArticleBreast cancer research and treatment2026
Refined risk stratification in residual triple-negative breast cancer after neoadjuvant therapy using residual cancer burden class and lymphovascular invasion.
Article in Breast cancer research and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Article
- Factors Associated with Standardized Diagnosis and Treatment of Breast Cancer: A Real-World Multicenter Study.Cancer management and research · 2026Article
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12 authors.
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Abstract
purposeThis 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).
methodsA 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.
resultsA 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).
conclusionPatients 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.
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