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Long Non-Coding RNAs as New Master Regulators of Resistance to Systemic Treatments in Breast Cancer

Predicting response to systemic treatments in breast cancer (BC) patients is an urgent, yet still unattained health aim. Easily detectable molecules such as long non-coding RNAs (lncRNAs) are the ideal biomarkers when they act as master regulators of many resistance mechanisms, or of mechanisms that...

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Autores principales: Campos-Parra, Alma D., López-Urrutia, Eduardo, Orozco Moreno, Luz Tonantzin, López-Camarillo, César, Meza-Menchaca, Thuluz, Figueroa González, Gabriela, Bustamante Montes, Lilia P., Pérez-Plasencia, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164317/
https://www.ncbi.nlm.nih.gov/pubmed/30208633
http://dx.doi.org/10.3390/ijms19092711
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author Campos-Parra, Alma D.
López-Urrutia, Eduardo
Orozco Moreno, Luz Tonantzin
López-Camarillo, César
Meza-Menchaca, Thuluz
Figueroa González, Gabriela
Bustamante Montes, Lilia P.
Pérez-Plasencia, Carlos
author_facet Campos-Parra, Alma D.
López-Urrutia, Eduardo
Orozco Moreno, Luz Tonantzin
López-Camarillo, César
Meza-Menchaca, Thuluz
Figueroa González, Gabriela
Bustamante Montes, Lilia P.
Pérez-Plasencia, Carlos
author_sort Campos-Parra, Alma D.
collection PubMed
description Predicting response to systemic treatments in breast cancer (BC) patients is an urgent, yet still unattained health aim. Easily detectable molecules such as long non-coding RNAs (lncRNAs) are the ideal biomarkers when they act as master regulators of many resistance mechanisms, or of mechanisms that are common to more than one treatment. These kinds of markers are pivotal in quasi-personalized treatment selection, and consequently, in improvement of outcome prediction. In order to provide a better approach to understanding development of disease and resistance to treatments, we reviewed current literature searching for lncRNA-associated systemic BC treatments including endocrine therapies, aromatase inhibitors, selective estrogen receptor modulators (SERMs), trastuzumab, paclitaxel, docetaxel, 5-fluorouracil (5-FU), anthracyclines, and cisplatin. We found that the engagement of lncRNAs in resistance is well described, and that lncRNAs such as urotelial carcinoma-associated 1 (UCA1) and regulator of reprogramming (ROR) are indeed involved in multiple resistance mechanisms, which offers tantalizing perspectives for wide usage of lncRNAs as treatment resistance biomarkers. Thus, we propose this work as the foundation for a wide landscape of functions and mechanisms that link more lncRNAs to resistance to current and new treatments in years of research to come.
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spelling pubmed-61643172018-10-10 Long Non-Coding RNAs as New Master Regulators of Resistance to Systemic Treatments in Breast Cancer Campos-Parra, Alma D. López-Urrutia, Eduardo Orozco Moreno, Luz Tonantzin López-Camarillo, César Meza-Menchaca, Thuluz Figueroa González, Gabriela Bustamante Montes, Lilia P. Pérez-Plasencia, Carlos Int J Mol Sci Review Predicting response to systemic treatments in breast cancer (BC) patients is an urgent, yet still unattained health aim. Easily detectable molecules such as long non-coding RNAs (lncRNAs) are the ideal biomarkers when they act as master regulators of many resistance mechanisms, or of mechanisms that are common to more than one treatment. These kinds of markers are pivotal in quasi-personalized treatment selection, and consequently, in improvement of outcome prediction. In order to provide a better approach to understanding development of disease and resistance to treatments, we reviewed current literature searching for lncRNA-associated systemic BC treatments including endocrine therapies, aromatase inhibitors, selective estrogen receptor modulators (SERMs), trastuzumab, paclitaxel, docetaxel, 5-fluorouracil (5-FU), anthracyclines, and cisplatin. We found that the engagement of lncRNAs in resistance is well described, and that lncRNAs such as urotelial carcinoma-associated 1 (UCA1) and regulator of reprogramming (ROR) are indeed involved in multiple resistance mechanisms, which offers tantalizing perspectives for wide usage of lncRNAs as treatment resistance biomarkers. Thus, we propose this work as the foundation for a wide landscape of functions and mechanisms that link more lncRNAs to resistance to current and new treatments in years of research to come. MDPI 2018-09-11 /pmc/articles/PMC6164317/ /pubmed/30208633 http://dx.doi.org/10.3390/ijms19092711 Text en © 2018 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
Campos-Parra, Alma D.
López-Urrutia, Eduardo
Orozco Moreno, Luz Tonantzin
López-Camarillo, César
Meza-Menchaca, Thuluz
Figueroa González, Gabriela
Bustamante Montes, Lilia P.
Pérez-Plasencia, Carlos
Long Non-Coding RNAs as New Master Regulators of Resistance to Systemic Treatments in Breast Cancer
title Long Non-Coding RNAs as New Master Regulators of Resistance to Systemic Treatments in Breast Cancer
title_full Long Non-Coding RNAs as New Master Regulators of Resistance to Systemic Treatments in Breast Cancer
title_fullStr Long Non-Coding RNAs as New Master Regulators of Resistance to Systemic Treatments in Breast Cancer
title_full_unstemmed Long Non-Coding RNAs as New Master Regulators of Resistance to Systemic Treatments in Breast Cancer
title_short Long Non-Coding RNAs as New Master Regulators of Resistance to Systemic Treatments in Breast Cancer
title_sort long non-coding rnas as new master regulators of resistance to systemic treatments in breast cancer
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164317/
https://www.ncbi.nlm.nih.gov/pubmed/30208633
http://dx.doi.org/10.3390/ijms19092711
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