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The WID-BC-index identifies women with primary poor prognostic breast cancer based on DNA methylation in cervical samples

Genetic and non-genetic factors contribute to breast cancer development. An epigenome-based signature capturing these components in easily accessible samples could identify women at risk. Here, we analyse the DNA methylome in 2,818 cervical, 357 and 227 matched buccal and blood samples respectively,...

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Autores principales: Barrett, James E., Herzog, Chiara, Jones, Allison, Leavy, Olivia C., Evans, Iona, Knapp, Susanne, Reisel, Daniel, Nazarenko, Tatiana, Kim, Yoo-Na, Franchi, Dorella, Ryan, Andy, Franks, Joanna, Bjørge, Line, Zikan, Michal, Cibula, David, Harbeck, Nadia, Colombo, Nicoletta, Dudbridge, Frank, Jones, Louise, Sundström, Karin, Dillner, Joakim, Rådestad, Angelique Flöter, Gemzell-Danielsson, Kristina, Pashayan, Nora, Widschwendter, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807602/
https://www.ncbi.nlm.nih.gov/pubmed/35105882
http://dx.doi.org/10.1038/s41467-021-27918-w
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author Barrett, James E.
Herzog, Chiara
Jones, Allison
Leavy, Olivia C.
Evans, Iona
Knapp, Susanne
Reisel, Daniel
Nazarenko, Tatiana
Kim, Yoo-Na
Franchi, Dorella
Ryan, Andy
Franks, Joanna
Bjørge, Line
Zikan, Michal
Cibula, David
Harbeck, Nadia
Colombo, Nicoletta
Dudbridge, Frank
Jones, Louise
Sundström, Karin
Dillner, Joakim
Rådestad, Angelique Flöter
Gemzell-Danielsson, Kristina
Pashayan, Nora
Widschwendter, Martin
author_facet Barrett, James E.
Herzog, Chiara
Jones, Allison
Leavy, Olivia C.
Evans, Iona
Knapp, Susanne
Reisel, Daniel
Nazarenko, Tatiana
Kim, Yoo-Na
Franchi, Dorella
Ryan, Andy
Franks, Joanna
Bjørge, Line
Zikan, Michal
Cibula, David
Harbeck, Nadia
Colombo, Nicoletta
Dudbridge, Frank
Jones, Louise
Sundström, Karin
Dillner, Joakim
Rådestad, Angelique Flöter
Gemzell-Danielsson, Kristina
Pashayan, Nora
Widschwendter, Martin
author_sort Barrett, James E.
collection PubMed
description Genetic and non-genetic factors contribute to breast cancer development. An epigenome-based signature capturing these components in easily accessible samples could identify women at risk. Here, we analyse the DNA methylome in 2,818 cervical, 357 and 227 matched buccal and blood samples respectively, and 42 breast tissue samples from women with and without breast cancer. Utilising cervical liquid-based cytology samples, we develop the DNA methylation-based Women’s risk IDentification for Breast Cancer index (WID-BC-index) that identifies women with breast cancer with an AUROC (Area Under the Receiver Operator Characteristic) of 0.84 (95% CI: 0.80–0.88) and 0.81 (95% CI: 0.76–0.86) in internal and external validation sets, respectively. CpGs at progesterone receptor binding sites hypomethylated in normal breast tissue of women with breast cancer or in BRCA mutation carriers are also hypomethylated in cervical samples of women with poor prognostic breast cancer. Our data indicate that a systemic epigenetic programming defect is highly prevalent in women who develop breast cancer. Further studies validating the WID-BC-index may enable clinical implementation for monitoring breast cancer risk.
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spelling pubmed-88076022022-02-07 The WID-BC-index identifies women with primary poor prognostic breast cancer based on DNA methylation in cervical samples Barrett, James E. Herzog, Chiara Jones, Allison Leavy, Olivia C. Evans, Iona Knapp, Susanne Reisel, Daniel Nazarenko, Tatiana Kim, Yoo-Na Franchi, Dorella Ryan, Andy Franks, Joanna Bjørge, Line Zikan, Michal Cibula, David Harbeck, Nadia Colombo, Nicoletta Dudbridge, Frank Jones, Louise Sundström, Karin Dillner, Joakim Rådestad, Angelique Flöter Gemzell-Danielsson, Kristina Pashayan, Nora Widschwendter, Martin Nat Commun Article Genetic and non-genetic factors contribute to breast cancer development. An epigenome-based signature capturing these components in easily accessible samples could identify women at risk. Here, we analyse the DNA methylome in 2,818 cervical, 357 and 227 matched buccal and blood samples respectively, and 42 breast tissue samples from women with and without breast cancer. Utilising cervical liquid-based cytology samples, we develop the DNA methylation-based Women’s risk IDentification for Breast Cancer index (WID-BC-index) that identifies women with breast cancer with an AUROC (Area Under the Receiver Operator Characteristic) of 0.84 (95% CI: 0.80–0.88) and 0.81 (95% CI: 0.76–0.86) in internal and external validation sets, respectively. CpGs at progesterone receptor binding sites hypomethylated in normal breast tissue of women with breast cancer or in BRCA mutation carriers are also hypomethylated in cervical samples of women with poor prognostic breast cancer. Our data indicate that a systemic epigenetic programming defect is highly prevalent in women who develop breast cancer. Further studies validating the WID-BC-index may enable clinical implementation for monitoring breast cancer risk. Nature Publishing Group UK 2022-02-01 /pmc/articles/PMC8807602/ /pubmed/35105882 http://dx.doi.org/10.1038/s41467-021-27918-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Barrett, James E.
Herzog, Chiara
Jones, Allison
Leavy, Olivia C.
Evans, Iona
Knapp, Susanne
Reisel, Daniel
Nazarenko, Tatiana
Kim, Yoo-Na
Franchi, Dorella
Ryan, Andy
Franks, Joanna
Bjørge, Line
Zikan, Michal
Cibula, David
Harbeck, Nadia
Colombo, Nicoletta
Dudbridge, Frank
Jones, Louise
Sundström, Karin
Dillner, Joakim
Rådestad, Angelique Flöter
Gemzell-Danielsson, Kristina
Pashayan, Nora
Widschwendter, Martin
The WID-BC-index identifies women with primary poor prognostic breast cancer based on DNA methylation in cervical samples
title The WID-BC-index identifies women with primary poor prognostic breast cancer based on DNA methylation in cervical samples
title_full The WID-BC-index identifies women with primary poor prognostic breast cancer based on DNA methylation in cervical samples
title_fullStr The WID-BC-index identifies women with primary poor prognostic breast cancer based on DNA methylation in cervical samples
title_full_unstemmed The WID-BC-index identifies women with primary poor prognostic breast cancer based on DNA methylation in cervical samples
title_short The WID-BC-index identifies women with primary poor prognostic breast cancer based on DNA methylation in cervical samples
title_sort wid-bc-index identifies women with primary poor prognostic breast cancer based on dna methylation in cervical samples
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807602/
https://www.ncbi.nlm.nih.gov/pubmed/35105882
http://dx.doi.org/10.1038/s41467-021-27918-w
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