A Practical Immunohistochemistry-Based Model for Predicting Pathologic Complete Response in Estrogen Receptor-Strong Positive and HER2-Negative Breast Cancer

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Authors: Su Min Lee, Jeong Eon Lee, Seok Jin Nam, Seok Won Kim, Jonghan Yu, Byung Joo Chae, Se Kyung Lee, Jai Min Ryu, Eun Yoon Cho, Hyunwoo Lee, Woong Ki Park
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References: 30

Abstract

Purpose: While the benefit of neoadjuvant chemotherapy (NAC) has been established in human epidermal growth factor receptor 2 (HER2)-positive and triple-negative breast cancers, its effectiveness in achieving pathological complete response (pCR) and optimal patient selection in estrogen receptor (ER)-positive, HER2-negative breast cancers remain less clearly defined.This study aimed to identify immunohistochemistry (IHC)-based predictors of pCR and to develop a scoring model for ER-strong positive/HER2-negative breast cancer.Methods: Data from a prospective cohort were retrospectively analyzed.We included 522 patients with ER-strong positive/HER2-negative tumors who received NAC and surgery between 2008 and 2021.IHC markers including progesterone receptor (PR), Ki-67, epidermal growth factor receptor (EGFR), cytokeratin 5/6 (CK5/6), and p53 were evaluated to identify predictors of pCR.Independent predictors of pCR from multivariate logistic regression were used to develop a weighted 4-point model.Model performance was assessed using receiver operating characteristic analysis.The prognostic impact of pCR was evaluated using Kaplan-Meier and Cox regression analyses.Results: Independent predictors of pCR included PR-negative status, positivity for basal-like markers (EGFR or CK5/6), and Ki-67 ≥ 50%.The scoring model demonstrated good discrimination for pCR (area under the curve = 0.754).pCR rates increased stepwise, with scores of 4.9% (low), 10.7% (intermediate), and 36.2%(high).In the high-score group, pCR was significantly associated with improved disease-free survival (hazard ratio [HR], 0.09; p = 0.023) and distant metastasis-free survival (HR, 0.11; p = 0.035), whereas no significant survival differences according to pCR status were observed in the low and intermediate score groups.Conclusion: This IHC-based model predicts pCR and helps identify subgroups in which pCR is associated with meaningful survival benefit following NAC in ER-positive/HER2-negative breast cancers.High-scoring patients may benefit from NAC, while patients with low-or intermediate-scores may be better managed with surgery and endocrine therapy.This model may support personalized treatment decisions regarding NAC.

Fields of Study & Subjects

Breast Cancer Treatment Studies Breast Lesions and Carcinomas MRI in cancer diagnosis

Publication details

Journal / source
Journal of Breast Cancer
Volume
29
Issue
2
Pages
128–128
Publication date
1 January 2026
Language
EN