Molecular characterisation of the residual disease after neoadjuvant endocrine therapy in ER+/HER2- breast cancer uncovers biomarkers of tumour response

Our findings highlight the change of intrinsic subtype from luminal A to normal-like after NET as a putative biomarker characterising the patient population that obtains the highest benefit from NET. Our study also suggests that changes in PAM50-derived ROR score and p53 evaluation could also help to identify those patients. Thus, this study uncovers potential biomarkers of response to NET and prognosis, which should be validated in independent cohorts, helping to the implementation of NET in the clinical practice.

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Publication Details

Journal
Translational Oncology
Published
2025-05-10
DOI
https://doi.org/10.1016/j.tranon.2025.102407
Citations
1
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.94
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article

Molecular characterisation of the residual disease after neoadjuvant endocrine therapy in ER+/HER2- breast cancer uncovers biomarkers of tumour response

Sara Manzano, Marta Férnandez, Isabel Álvarez, Elvira Buch et al.
1 citations
Translational Oncology
Breast Cancer Treatment Studies
0.94
article

Molecular characterisation of the residual disease after neoadjuvant endocrine therapy in ER+/HER2- breast cancer uncovers biomarkers of tumour response

Sara Manzano, Marta Férnandez, Isabel Álvarez, Elvira Buch, Luis Álvarez, María M. Caffarel, María Otaño, Inge Etxabe, Sofía Aragón-Sánchez, Kepa Elorriaga, Joanna I. López-Velazco, Laia Paré, Ainhara Lahuerta, Ander Urruticoechea, Vanesa Quiroga, Aleix Prat, Julia Giménez, Miren Huarte
article en
1 citations

Abstract

Our findings highlight the change of intrinsic subtype from luminal A to normal-like after NET as a putative biomarker characterising the patient population that obtains the highest benefit from NET. Our study also suggests that changes in PAM50-derived ROR score and p53 evaluation could also help to identify those patients. Thus, this study uncovers potential biomarkers of response to NET and prognosis, which should be validated in independent cohorts, helping to the implementation of NET in the clinical practice.

Translational OncologyVol. 57
Ikerbasque (ES), Institut Català d'Ornitologia (ES), Basque Government (ES), Research Institute Hospital 12 de Octubre (ES), Hospital Clínico Universitario de Valencia (ES), Biogipuzkoa Health Research Institute (ES), Fundación Instituto Valenciano de Oncología (ES), Institut Català d'Oncologia (ES), Hospital Clínic de Barcelona (ES), Onkologikoa (ES), Bioef - Fundación Vasca de Innovación e Investigación Sanitarias (ES), INCLIVA Health Research Institute (ES)
Good health and well-being
Openalex Percentile: Top 25%
Breast Cancer Treatment Studies
0.94
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