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

Author:

Campos-Parra Alma,López-Urrutia Eduardo,Orozco Moreno Luz,López-Camarillo César,Meza-Menchaca Thuluz,Figueroa González Gabriela,Bustamante Montes Lilia,Pérez-Plasencia CarlosORCID

Abstract

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.

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

Reference121 articles.

1. Global Cancer Incidence and Mortality Rates and Trends—An Update

2. Breast cancer intrinsic subtype classification, clinical use and future trends;Dai;Am. J. Cancer Res.,2015

3. Past, Present, and Future Challenges in Breast Cancer Treatment

4. Cancer statistics, 2013

5. The rise of regulatory RNA

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