ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2025
Predictive score for response to neoadjuvant chemotherapy in early-stage HR + /HER2- breast cancer.
Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.
What it found
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Who cites it
2 citing papers in PubMed.
- The Predictive Value of the Tumor-Stroma Ratio for Neoadjuvant Endocrine Therapy in Hormone Receptor-Positive Breast Cancer.International journal of cancer · 2026Article
- Salivary Metabolic Characteristics and Response to Neoadjuvant Systemic Therapy in Breast Cancer.International journal of molecular sciences · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionNeoadjuvant chemotherapy (NACT) is a treatment option for early-stage hormone receptor-positive human epidermal growth factor receptor 2-negative (HR + /HER2-) breast cancer. Despite its use, pathological response rates in this subtype are often lower, and the impact of individual risk factors remains unclear. This study aimed to identify biomarkers and create a predictive score for NACT response.
methodsThis retrospective, single-center study included patients with stage IIA-IIIC HR + /HER2- breast cancer treated with NACT and surgery (2019-2023). Multiple logistic regression analyzed associations between clinicopathological variables and pathologic response (partial/complete vs. absent) (p < 0.05). The best-performing model was used to develop a risk score.
resultsThe study included 101 patients. Significant predictors of pathological response included tumor grade (G2/3 vs. G1), menopausal status (pre- vs. post-menopausal), and intrinsic subtype (luminal B vs. A).
conclusionsA dynamic calculator was created incorporating grade, hormonal status, intrinsic subtype, and Ki-67. This tool provides real-time input, facilitating personalized therapeutic decision-making.
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