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Molecular Biomarkers for Contemporary Therapies in Hormone Receptor-Positive Breast Cancer
Systemic treatment of hormone receptor-positive (HR+) breast cancer is undergoing a renaissance, with a number of targeted therapies including CDK4/6, mTOR, and PI3K inhibitors now approved for use in combination with endocrine therapies. The increased use of targeted therapies has changed the natur...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922594/ https://www.ncbi.nlm.nih.gov/pubmed/33671468 http://dx.doi.org/10.3390/genes12020285 |
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author | Freelander, Allegra Brown, Lauren J. Parker, Andrew Segara, Davendra Portman, Neil Lau, Brandon Lim, Elgene |
author_facet | Freelander, Allegra Brown, Lauren J. Parker, Andrew Segara, Davendra Portman, Neil Lau, Brandon Lim, Elgene |
author_sort | Freelander, Allegra |
collection | PubMed |
description | Systemic treatment of hormone receptor-positive (HR+) breast cancer is undergoing a renaissance, with a number of targeted therapies including CDK4/6, mTOR, and PI3K inhibitors now approved for use in combination with endocrine therapies. The increased use of targeted therapies has changed the natural history of HR+ breast cancers, with the emergence of new escape mechanisms leading to the inevitable progression of disease in patients with advanced cancers. The identification of new predictive and pharmacodynamic biomarkers to current standard-of-care therapies and discovery of new therapies is an evolving and urgent clinical challenge in this setting. While traditional, routinely measured biomarkers such as estrogen receptors (ERs), progesterone receptors (PRs), and human epidermal growth factor receptor 2 (HER2) still represent the best prognostic and predictive biomarkers for HR+ breast cancer, a significant proportion of patients either do not respond to endocrine therapy or develop endocrine resistant disease. Genomic tests have emerged as a useful adjunct prognostication tool and guide the addition of chemotherapy to endocrine therapy. In the treatment-resistant setting, mutational profiling has been used to identify ESR1, PIK3CA, and AKT mutations as predictive molecular biomarkers to newer therapies. Additionally, pharmacodynamic biomarkers are being increasingly used and considered in the metastatic setting. In this review, we summarise the current state-of-the-art therapies; prognostic, predictive, and pharmacodynamic molecular biomarkers; and how these are impacted by emerging therapies for HR+ breast cancer. |
format | Online Article Text |
id | pubmed-7922594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79225942021-03-03 Molecular Biomarkers for Contemporary Therapies in Hormone Receptor-Positive Breast Cancer Freelander, Allegra Brown, Lauren J. Parker, Andrew Segara, Davendra Portman, Neil Lau, Brandon Lim, Elgene Genes (Basel) Review Systemic treatment of hormone receptor-positive (HR+) breast cancer is undergoing a renaissance, with a number of targeted therapies including CDK4/6, mTOR, and PI3K inhibitors now approved for use in combination with endocrine therapies. The increased use of targeted therapies has changed the natural history of HR+ breast cancers, with the emergence of new escape mechanisms leading to the inevitable progression of disease in patients with advanced cancers. The identification of new predictive and pharmacodynamic biomarkers to current standard-of-care therapies and discovery of new therapies is an evolving and urgent clinical challenge in this setting. While traditional, routinely measured biomarkers such as estrogen receptors (ERs), progesterone receptors (PRs), and human epidermal growth factor receptor 2 (HER2) still represent the best prognostic and predictive biomarkers for HR+ breast cancer, a significant proportion of patients either do not respond to endocrine therapy or develop endocrine resistant disease. Genomic tests have emerged as a useful adjunct prognostication tool and guide the addition of chemotherapy to endocrine therapy. In the treatment-resistant setting, mutational profiling has been used to identify ESR1, PIK3CA, and AKT mutations as predictive molecular biomarkers to newer therapies. Additionally, pharmacodynamic biomarkers are being increasingly used and considered in the metastatic setting. In this review, we summarise the current state-of-the-art therapies; prognostic, predictive, and pharmacodynamic molecular biomarkers; and how these are impacted by emerging therapies for HR+ breast cancer. MDPI 2021-02-17 /pmc/articles/PMC7922594/ /pubmed/33671468 http://dx.doi.org/10.3390/genes12020285 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Freelander, Allegra Brown, Lauren J. Parker, Andrew Segara, Davendra Portman, Neil Lau, Brandon Lim, Elgene Molecular Biomarkers for Contemporary Therapies in Hormone Receptor-Positive Breast Cancer |
title | Molecular Biomarkers for Contemporary Therapies in Hormone Receptor-Positive Breast Cancer |
title_full | Molecular Biomarkers for Contemporary Therapies in Hormone Receptor-Positive Breast Cancer |
title_fullStr | Molecular Biomarkers for Contemporary Therapies in Hormone Receptor-Positive Breast Cancer |
title_full_unstemmed | Molecular Biomarkers for Contemporary Therapies in Hormone Receptor-Positive Breast Cancer |
title_short | Molecular Biomarkers for Contemporary Therapies in Hormone Receptor-Positive Breast Cancer |
title_sort | molecular biomarkers for contemporary therapies in hormone receptor-positive breast cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922594/ https://www.ncbi.nlm.nih.gov/pubmed/33671468 http://dx.doi.org/10.3390/genes12020285 |
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