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Modelling hypersensitivity to trastuzumab defines biomarkers of response in HER2 positive breast cancer
BACKGROUND: Trastuzumab-based therapies are the therapeutic option for HER2 positive (HER2+) breast cancer. HER2 amplification is the only biomarker validated for trastuzumab-based therapies. However, a proportion of tumors become refractory during treatment course. For this reason, the finding of n...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496101/ https://www.ncbi.nlm.nih.gov/pubmed/34620206 http://dx.doi.org/10.1186/s13046-021-02098-z |
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author | Díaz-Gil, Laura Brasó-Maristany, Fara Locatelli, Claudriana Centa, Ariana Győrffy, Balász Ocaña, Alberto Prat, Aleix Pandiella, Atanasio |
author_facet | Díaz-Gil, Laura Brasó-Maristany, Fara Locatelli, Claudriana Centa, Ariana Győrffy, Balász Ocaña, Alberto Prat, Aleix Pandiella, Atanasio |
author_sort | Díaz-Gil, Laura |
collection | PubMed |
description | BACKGROUND: Trastuzumab-based therapies are the therapeutic option for HER2 positive (HER2+) breast cancer. HER2 amplification is the only biomarker validated for trastuzumab-based therapies. However, a proportion of tumors become refractory during treatment course. For this reason, the finding of new biomarkers beyond HER2 overexpression to identify patients who would benefit most from trastuzumab regimens is of outstanding importance. METHODS: Models of trastuzumab-resistant or hypersensitive cells were generated by exposure to trastuzumab. Cell surface, total HER2, and analyses of proteins involved in cell cycle or apoptosis were analyzed by western blotting. Cell proliferation was analyzed by cell counting, cell cycle and apoptosis was evaluated by FACS. Transcriptomic characterization of the cellular models was performed using bioinformatic online tools, and clinico-genomic analyses were performed using the PAMELA clinical trial data. RESULTS: Besides differing in sensitivities to trastuzumab, the different cellular models also showed distinct response to other anti-HER2 drugs (lapatinib, neratinib, pertuzumab and T-DM1) used in the clinic. That differential effect was not due to changes in cell surface, total or activated HER2. Trastuzumab caused important induction of cell death in hypersensitive cells but not in parental or resistant cells. Transcriptomic analyses of these cellular models together with querying of online databases allowed the identification of individual genes and gene signatures that predicted prognosis and trastuzumab response in HER2+ breast cancer patients. CONCLUSION: The identification of trastuzumab response biomarkers may be used to select patients particularly sensitive to facilitate the use of trastuzumab-based therapies and refine follow-up guidelines in patients with HER2+ tumors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13046-021-02098-z. |
format | Online Article Text |
id | pubmed-8496101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84961012021-10-07 Modelling hypersensitivity to trastuzumab defines biomarkers of response in HER2 positive breast cancer Díaz-Gil, Laura Brasó-Maristany, Fara Locatelli, Claudriana Centa, Ariana Győrffy, Balász Ocaña, Alberto Prat, Aleix Pandiella, Atanasio J Exp Clin Cancer Res Research BACKGROUND: Trastuzumab-based therapies are the therapeutic option for HER2 positive (HER2+) breast cancer. HER2 amplification is the only biomarker validated for trastuzumab-based therapies. However, a proportion of tumors become refractory during treatment course. For this reason, the finding of new biomarkers beyond HER2 overexpression to identify patients who would benefit most from trastuzumab regimens is of outstanding importance. METHODS: Models of trastuzumab-resistant or hypersensitive cells were generated by exposure to trastuzumab. Cell surface, total HER2, and analyses of proteins involved in cell cycle or apoptosis were analyzed by western blotting. Cell proliferation was analyzed by cell counting, cell cycle and apoptosis was evaluated by FACS. Transcriptomic characterization of the cellular models was performed using bioinformatic online tools, and clinico-genomic analyses were performed using the PAMELA clinical trial data. RESULTS: Besides differing in sensitivities to trastuzumab, the different cellular models also showed distinct response to other anti-HER2 drugs (lapatinib, neratinib, pertuzumab and T-DM1) used in the clinic. That differential effect was not due to changes in cell surface, total or activated HER2. Trastuzumab caused important induction of cell death in hypersensitive cells but not in parental or resistant cells. Transcriptomic analyses of these cellular models together with querying of online databases allowed the identification of individual genes and gene signatures that predicted prognosis and trastuzumab response in HER2+ breast cancer patients. CONCLUSION: The identification of trastuzumab response biomarkers may be used to select patients particularly sensitive to facilitate the use of trastuzumab-based therapies and refine follow-up guidelines in patients with HER2+ tumors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13046-021-02098-z. BioMed Central 2021-10-07 /pmc/articles/PMC8496101/ /pubmed/34620206 http://dx.doi.org/10.1186/s13046-021-02098-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Díaz-Gil, Laura Brasó-Maristany, Fara Locatelli, Claudriana Centa, Ariana Győrffy, Balász Ocaña, Alberto Prat, Aleix Pandiella, Atanasio Modelling hypersensitivity to trastuzumab defines biomarkers of response in HER2 positive breast cancer |
title | Modelling hypersensitivity to trastuzumab defines biomarkers of response in HER2 positive breast cancer |
title_full | Modelling hypersensitivity to trastuzumab defines biomarkers of response in HER2 positive breast cancer |
title_fullStr | Modelling hypersensitivity to trastuzumab defines biomarkers of response in HER2 positive breast cancer |
title_full_unstemmed | Modelling hypersensitivity to trastuzumab defines biomarkers of response in HER2 positive breast cancer |
title_short | Modelling hypersensitivity to trastuzumab defines biomarkers of response in HER2 positive breast cancer |
title_sort | modelling hypersensitivity to trastuzumab defines biomarkers of response in her2 positive breast cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496101/ https://www.ncbi.nlm.nih.gov/pubmed/34620206 http://dx.doi.org/10.1186/s13046-021-02098-z |
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