1062 – Breast pathologic complete response fails while axillary response persists: a bbreast multicenter study developing a nomogram for predictive accuracy across luminal subtypes

Authors

  • Marcelo Antonini Brazilian Breast Cancer Association Team – São Paulo (SP), Brazil. Hospital do Servidor Público Estadual – São Paulo (SP), Brazil.
  • Andre Mattar Brazilian Breast Cancer Association Team – São Paulo (SP), Brazil. Hospital da Mulher, Centro de Referência da Saúde da Mulher – São Paulo (SP), Brazil.
  • Francisco Pimentel Cavalcante Brazilian Breast Cancer Association Team – São Paulo (SP), Brazil.
  • Felipe Zerwes Brazilian Breast Cancer Association Team – São Paulo (SP), Brazil.
  • Fabricio Palermo Brenelli Brazilian Breast Cancer Association Team – São Paulo (SP), Brazil.
  • Eduardo Camargo Millen Brazilian Breast Cancer Association Team – São Paulo (SP), Brazil.
  • Antonio Luis Frasson Brazilian Breast Cancer Association Team – São Paulo (SP), Brazil.
  • Luiz Henrique Gebrim Brazilian Breast Cancer Association Team – São Paulo (SP), Brazil.

DOI:

https://doi.org/10.29289/259453942025V36S11062

Keywords:

breast neoplasms, neoadjuvant therapy, luminal breast cancer, sentinel lymph node biopsy, real-world data

Abstract

Introduction: Pathologic complete response (pCR) is commonly used as a surrogate endpoint in breast cancer; however,
its clinical relevance in luminal tumors remains uncertain due to low response rates.
Objective: To evaluate breast and axillary response patterns and to develop and externally validate predictive models
in luminal breast cancer (LBC).
Methods: This multicenter retrospective study included patients with LBC treated with neoadjuvant chemotherapy
between 2011 and 2022. Patients were classified as Luminal A (LA) or Luminal B (LB) based on Ki-67 expression. The
Hospital Pérola Byington cohort (n=725) was used for model derivation, and the Hospital do Servidor Público Estadual
(HSPE) cohort (n=123) for validation. Breast pCR was defined as ypT0/is/ypN0. Multivariable logistic regression models
incorporating age, clinical T and N stage, histological grade, estrogen and progesterone receptor expression, and the Ki-67
index were constructed. Discrimination was assessed using the area under the receiver operating characteristic (ROC)
curve (AUC). Baseline characteristics were comparable between cohorts, demonstrating homogeneous populations.
Results: A total of 848 patients were analyzed. Breast pCR rates were low in both cohorts (Pérola: 3.8%; HSPE: 3.2%), particularly in LA tumors. Predictive modeling for breast pCR demonstrated poor discrimination (AUC=0.37), with similarly
limited performance across subtypes (LA AUC=0.34; LB AUC=0.41). In contrast, axillary response rates were substantially
higher (Pérola: 31.4%; HSPE: 28.5%) and showed clear biological stratification. LB tumors demonstrated higher response
rates compared to LA tumors. The axillary predictive model showed moderate discrimination in the derivation cohort
(AUC=0.68), with improved performance in LB (≈0.72) compared to LA (≈0.61). External validation confirmed consistent
performance in the HSPE cohort (AUC=0.65), supporting the model’s reproducibility.
Conclusion: Breast pCR is rare and poorly predictable in LBC, limiting its role as a surrogate endpoint. Conversely, axillary response is more frequent, biologically stratified, and reproducible across centers, supporting its use as a more clinically relevant endpoint.
Ethics: The study was approved by Plataforma Brazil (CAAE 39097520.4.1001.546).

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Published

2026-10-19

How to Cite

Antonini, M., Mattar, A., Cavalcante, F. P., Zerwes, F., Brenelli, F. P., Millen, E. C., … Gebrim, L. H. (2026). 1062 – Breast pathologic complete response fails while axillary response persists: a bbreast multicenter study developing a nomogram for predictive accuracy across luminal subtypes. Mastology, 36(suppl. 1). https://doi.org/10.29289/259453942025V36S11062

Issue

Section

Systemic Treatment Section