Combined Pathological Response and PEPI Score Improves Long-term Prognostic Stratification in HR-positive Breast Cancer Following Neoadjuvant Endocrine Therapy

BACKGROUND/AIM: Neoadjuvant endocrine therapy (NET) is increasingly used in hormone receptor (HR)-positive breast cancer; however, optimal methods for predicting long-term outcomes remain limited. This study aimed to evaluate the prognostic value of pathological response and preoperative endocrine prognostic index (PEPI), and to assess whether their combination improves risk stratification. PATIENTS AND METHODS: A total of 160 postmenopausal patients with strongly HR-positive breast cancer (T1-3N0-1M0) treated with NET were retrospectively analyzed. Pathological response was assessed using the Miller & Payne grading system. PEPI scores were calculated based on post-treatment tumor characteristics. Survival outcomes, including relapse-free survival (RFS), distant disease-free survival (DDFS), and breast cancer-specific survival (BCSS), were analyzed. RESULTS: <0.05). Patients with a PEPI score of 0-1 showed significantly better long-term outcomes compared to those with higher scores. Importantly, the combination of pathological response and PEPI demonstrated superior prognostic performance (78.1%) compared with either method alone. Patients identified as low-risk by the combined model exhibited excellent 10-year survival outcomes. CONCLUSION: The integration of pathological evaluation with PEPI scoring provides a simple and clinically applicable approach for prognostic stratification in HR-positive breast cancer following NET. This combined model may help identify patients who could safely avoid adjuvant chemotherapy, supporting individualized treatment strategies.

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Journal
In Vivo
Published
2026-08-28
DOI
https://doi.org/10.21873/invivo.14452
Primary Topic
Breast Cancer Treatment Studies
Type
article
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article

Combined Pathological Response and PEPI Score Improves Long-term Prognostic Stratification in HR-positive Breast Cancer Following Neoadjuvant Endocrine Therapy

林本耀, 陆爱平, Zhaoqing Fan, Yuntao Xie et al.
In Vivo
Breast Cancer Treatment Studies
article

Combined Pathological Response and PEPI Score Improves Long-term Prognostic Stratification in HR-positive Breast Cancer Following Neoadjuvant Endocrine Therapy

林本耀, 陆爱平, Zhaoqing Fan, Yuntao Xie, Min Ying, TIANFENG WANG, TAO OUYANG, YINGJIAN HE, BIN DONG, JINFENG LI, MENG QI
article en

Abstract

BACKGROUND/AIM: Neoadjuvant endocrine therapy (NET) is increasingly used in hormone receptor (HR)-positive breast cancer; however, optimal methods for predicting long-term outcomes remain limited. This study aimed to evaluate the prognostic value of pathological response and preoperative endocrine prognostic index (PEPI), and to assess whether their combination improves risk stratification. PATIENTS AND METHODS: A total of 160 postmenopausal patients with strongly HR-positive breast cancer (T1-3N0-1M0) treated with NET were retrospectively analyzed. Pathological response was assessed using the Miller & Payne grading system. PEPI scores were calculated based on post-treatment tumor characteristics. Survival outcomes, including relapse-free survival (RFS), distant disease-free survival (DDFS), and breast cancer-specific survival (BCSS), were analyzed. RESULTS: <0.05). Patients with a PEPI score of 0-1 showed significantly better long-term outcomes compared to those with higher scores. Importantly, the combination of pathological response and PEPI demonstrated superior prognostic performance (78.1%) compared with either method alone. Patients identified as low-risk by the combined model exhibited excellent 10-year survival outcomes. CONCLUSION: The integration of pathological evaluation with PEPI scoring provides a simple and clinically applicable approach for prognostic stratification in HR-positive breast cancer following NET. This combined model may help identify patients who could safely avoid adjuvant chemotherapy, supporting individualized treatment strategies.

In VivoVol. 40(5)
Breast Cancer Research Foundation (US), Peking University (CN), Peking University Cancer Hospital (CN), Ministry of Education (ET)
Good health and well-being
Openalex Percentile: Top 14%
Breast Cancer Treatment Studies
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