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DNA methylation markers predict recurrence-free interval in triple-negative breast cancer
We lack tools to risk-stratify triple-negative breast cancer (TNBC). Our goal was to develop molecular tools to predict disease recurrence. Methylation array analysis was performed on 110 samples treated by locoregional therapy obtained from institutional cohorts. Discovered marker sets were then te...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994477/ https://www.ncbi.nlm.nih.gov/pubmed/32025567 http://dx.doi.org/10.1038/s41523-020-0145-3 |
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author | Fackler, Mary Jo Cho, Soonweng Cope, Leslie Gabrielson, Edward Visvanathan, Kala Wilsbach, Kathleen Meir-Levi, Danielle Lynch, Charles F. Marks, Jeffrey Geradts, Joseph Regan, Meredith M. Viale, Giuseppe Wolff, Antonio C. Sukumar, Saraswati Umbricht, Christopher B. |
author_facet | Fackler, Mary Jo Cho, Soonweng Cope, Leslie Gabrielson, Edward Visvanathan, Kala Wilsbach, Kathleen Meir-Levi, Danielle Lynch, Charles F. Marks, Jeffrey Geradts, Joseph Regan, Meredith M. Viale, Giuseppe Wolff, Antonio C. Sukumar, Saraswati Umbricht, Christopher B. |
author_sort | Fackler, Mary Jo |
collection | PubMed |
description | We lack tools to risk-stratify triple-negative breast cancer (TNBC). Our goal was to develop molecular tools to predict disease recurrence. Methylation array analysis was performed on 110 samples treated by locoregional therapy obtained from institutional cohorts. Discovered marker sets were then tested by Kaplan−Meier analyses in a prospectively collected TNBC cohort of 49 samples from the no-chemotherapy arms of IBCSG trials VIII and IX, and by logistic regression in a chemotherapy-treated cohort of 121 TNBCs from combined IBCSG trials and institutional repositories. High methylation was associated with shorter recurrence-free interval in the no-chemotherapy arm of the IBCSG studies, as well as in the chemotherapy-treated patients within the combined institutional and IBCSG chemotherapy cohorts (100 marker panel, p = 0.002; 30 marker panel, p = 0.05). Chromosome 19 sites were enriched among these loci. In conclusion, our hypermethylation signatures identify increased recurrence risk independent of whether patients receive chemotherapy. |
format | Online Article Text |
id | pubmed-6994477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69944772020-02-05 DNA methylation markers predict recurrence-free interval in triple-negative breast cancer Fackler, Mary Jo Cho, Soonweng Cope, Leslie Gabrielson, Edward Visvanathan, Kala Wilsbach, Kathleen Meir-Levi, Danielle Lynch, Charles F. Marks, Jeffrey Geradts, Joseph Regan, Meredith M. Viale, Giuseppe Wolff, Antonio C. Sukumar, Saraswati Umbricht, Christopher B. NPJ Breast Cancer Article We lack tools to risk-stratify triple-negative breast cancer (TNBC). Our goal was to develop molecular tools to predict disease recurrence. Methylation array analysis was performed on 110 samples treated by locoregional therapy obtained from institutional cohorts. Discovered marker sets were then tested by Kaplan−Meier analyses in a prospectively collected TNBC cohort of 49 samples from the no-chemotherapy arms of IBCSG trials VIII and IX, and by logistic regression in a chemotherapy-treated cohort of 121 TNBCs from combined IBCSG trials and institutional repositories. High methylation was associated with shorter recurrence-free interval in the no-chemotherapy arm of the IBCSG studies, as well as in the chemotherapy-treated patients within the combined institutional and IBCSG chemotherapy cohorts (100 marker panel, p = 0.002; 30 marker panel, p = 0.05). Chromosome 19 sites were enriched among these loci. In conclusion, our hypermethylation signatures identify increased recurrence risk independent of whether patients receive chemotherapy. Nature Publishing Group UK 2020-01-31 /pmc/articles/PMC6994477/ /pubmed/32025567 http://dx.doi.org/10.1038/s41523-020-0145-3 Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Fackler, Mary Jo Cho, Soonweng Cope, Leslie Gabrielson, Edward Visvanathan, Kala Wilsbach, Kathleen Meir-Levi, Danielle Lynch, Charles F. Marks, Jeffrey Geradts, Joseph Regan, Meredith M. Viale, Giuseppe Wolff, Antonio C. Sukumar, Saraswati Umbricht, Christopher B. DNA methylation markers predict recurrence-free interval in triple-negative breast cancer |
title | DNA methylation markers predict recurrence-free interval in triple-negative breast cancer |
title_full | DNA methylation markers predict recurrence-free interval in triple-negative breast cancer |
title_fullStr | DNA methylation markers predict recurrence-free interval in triple-negative breast cancer |
title_full_unstemmed | DNA methylation markers predict recurrence-free interval in triple-negative breast cancer |
title_short | DNA methylation markers predict recurrence-free interval in triple-negative breast cancer |
title_sort | dna methylation markers predict recurrence-free interval in triple-negative breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994477/ https://www.ncbi.nlm.nih.gov/pubmed/32025567 http://dx.doi.org/10.1038/s41523-020-0145-3 |
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