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DNA Methylation Predicts the Response of Triple-Negative Breast Cancers to All-Trans Retinoic Acid
All-trans retinoic acid (atRA) regulates gene expression and is used to treat acute promyelocytic leukemia. Attempts to use atRA in breast cancer without a stratification strategy have resulted in limited overall effectiveness. To identify biomarkers for the treatment of triple-negative breast cance...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6266978/ https://www.ncbi.nlm.nih.gov/pubmed/30352973 http://dx.doi.org/10.3390/cancers10110397 |
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author | Coyle, Krysta Mila Dean, Cheryl A. Thomas, Margaret Lois Vidovic, Dejan Giacomantonio, Carman A. Helyer, Lucy Marcato, Paola |
author_facet | Coyle, Krysta Mila Dean, Cheryl A. Thomas, Margaret Lois Vidovic, Dejan Giacomantonio, Carman A. Helyer, Lucy Marcato, Paola |
author_sort | Coyle, Krysta Mila |
collection | PubMed |
description | All-trans retinoic acid (atRA) regulates gene expression and is used to treat acute promyelocytic leukemia. Attempts to use atRA in breast cancer without a stratification strategy have resulted in limited overall effectiveness. To identify biomarkers for the treatment of triple-negative breast cancer (TNBC) with atRA, we characterized the effects of atRA on the tumor growth of 13 TNBC cell lines. This resulted in a range of effects that was not predictable based on previously hypothesized predictors of response, such as the levels of atRA nuclear shuttling proteins fatty acid binding protein 5 (FABP5) and cellular retinoic acid binding protein 2 (CRABP2). Transcriptional profiling revealed that atRA induced distinct gene expression changes in the sensitive versus resistant cell lines that were mostly independent of the presence of retinoic acid response elements (RAREs) or peroxisome proliferator response elements (PPREs). Given the importance of DNA methylation in regulating gene expression, we hypothesized that differential DNA methylation could predict the response of TNBCs to atRA. We identified over 1400 sites that were differentially methylated between atRA resistant and sensitive cell lines. These CpG sites predicted the response of four TNBC patient-derived xenografts to atRA, and we utilized these xenografts to refine the profile and identified that as many as 17% of TNBC patients could benefit from atRA treatment. These data illustrate that differential methylation of specific CpGs may be useful biomarkers for predicting the response of patient tumors to atRA treatment. |
format | Online Article Text |
id | pubmed-6266978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-62669782018-12-03 DNA Methylation Predicts the Response of Triple-Negative Breast Cancers to All-Trans Retinoic Acid Coyle, Krysta Mila Dean, Cheryl A. Thomas, Margaret Lois Vidovic, Dejan Giacomantonio, Carman A. Helyer, Lucy Marcato, Paola Cancers (Basel) Article All-trans retinoic acid (atRA) regulates gene expression and is used to treat acute promyelocytic leukemia. Attempts to use atRA in breast cancer without a stratification strategy have resulted in limited overall effectiveness. To identify biomarkers for the treatment of triple-negative breast cancer (TNBC) with atRA, we characterized the effects of atRA on the tumor growth of 13 TNBC cell lines. This resulted in a range of effects that was not predictable based on previously hypothesized predictors of response, such as the levels of atRA nuclear shuttling proteins fatty acid binding protein 5 (FABP5) and cellular retinoic acid binding protein 2 (CRABP2). Transcriptional profiling revealed that atRA induced distinct gene expression changes in the sensitive versus resistant cell lines that were mostly independent of the presence of retinoic acid response elements (RAREs) or peroxisome proliferator response elements (PPREs). Given the importance of DNA methylation in regulating gene expression, we hypothesized that differential DNA methylation could predict the response of TNBCs to atRA. We identified over 1400 sites that were differentially methylated between atRA resistant and sensitive cell lines. These CpG sites predicted the response of four TNBC patient-derived xenografts to atRA, and we utilized these xenografts to refine the profile and identified that as many as 17% of TNBC patients could benefit from atRA treatment. These data illustrate that differential methylation of specific CpGs may be useful biomarkers for predicting the response of patient tumors to atRA treatment. MDPI 2018-10-24 /pmc/articles/PMC6266978/ /pubmed/30352973 http://dx.doi.org/10.3390/cancers10110397 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 | Article Coyle, Krysta Mila Dean, Cheryl A. Thomas, Margaret Lois Vidovic, Dejan Giacomantonio, Carman A. Helyer, Lucy Marcato, Paola DNA Methylation Predicts the Response of Triple-Negative Breast Cancers to All-Trans Retinoic Acid |
title | DNA Methylation Predicts the Response of Triple-Negative Breast Cancers to All-Trans Retinoic Acid |
title_full | DNA Methylation Predicts the Response of Triple-Negative Breast Cancers to All-Trans Retinoic Acid |
title_fullStr | DNA Methylation Predicts the Response of Triple-Negative Breast Cancers to All-Trans Retinoic Acid |
title_full_unstemmed | DNA Methylation Predicts the Response of Triple-Negative Breast Cancers to All-Trans Retinoic Acid |
title_short | DNA Methylation Predicts the Response of Triple-Negative Breast Cancers to All-Trans Retinoic Acid |
title_sort | dna methylation predicts the response of triple-negative breast cancers to all-trans retinoic acid |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6266978/ https://www.ncbi.nlm.nih.gov/pubmed/30352973 http://dx.doi.org/10.3390/cancers10110397 |
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