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Buffy coat signatures of breast cancer risk in a prospective cohort study
BACKGROUND: Epigenetic alterations are a near-universal feature of human malignancy and have been detected in malignant cells as well as in easily accessible specimens such as blood and urine. These findings offer promising applications in cancer detection, subtyping, and treatment monitoring. Howev...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262593/ https://www.ncbi.nlm.nih.gov/pubmed/37309009 http://dx.doi.org/10.1186/s13148-023-01509-6 |
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author | Chung, Felicia Fei-Lei Maldonado, Sandra González Nemc, Amelie Bouaoun, Liacine Cahais, Vincent Cuenin, Cyrille Salle, Aurelie Johnson, Theron Ergüner, Bekir Laplana, Marina Datlinger, Paul Jeschke, Jana Weiderpass, Elisabete Kristensen, Vessela Delaloge, Suzette Fuks, François Risch, Angela Ghantous, Akram Plass, Christoph Bock, Christoph Kaaks, Rudolf Herceg, Zdenko |
author_facet | Chung, Felicia Fei-Lei Maldonado, Sandra González Nemc, Amelie Bouaoun, Liacine Cahais, Vincent Cuenin, Cyrille Salle, Aurelie Johnson, Theron Ergüner, Bekir Laplana, Marina Datlinger, Paul Jeschke, Jana Weiderpass, Elisabete Kristensen, Vessela Delaloge, Suzette Fuks, François Risch, Angela Ghantous, Akram Plass, Christoph Bock, Christoph Kaaks, Rudolf Herceg, Zdenko |
author_sort | Chung, Felicia Fei-Lei |
collection | PubMed |
description | BACKGROUND: Epigenetic alterations are a near-universal feature of human malignancy and have been detected in malignant cells as well as in easily accessible specimens such as blood and urine. These findings offer promising applications in cancer detection, subtyping, and treatment monitoring. However, much of the current evidence is based on findings in retrospective studies and may reflect epigenetic patterns that have already been influenced by the onset of the disease. METHODS: Studying breast cancer, we established genome-scale DNA methylation profiles of prospectively collected buffy coat samples (n = 702) from a case–control study nested within the EPIC-Heidelberg cohort using reduced representation bisulphite sequencing (RRBS). RESULTS: We observed cancer-specific DNA methylation events in buffy coat samples. Increased DNA methylation in genomic regions associated with SURF6 and REXO1/CTB31O20.3 was linked to the length of time to diagnosis in the prospectively collected buffy coat DNA from individuals who subsequently developed breast cancer. Using machine learning methods, we piloted a DNA methylation-based classifier that predicted case–control status in a held-out validation set with 76.5% accuracy, in some cases up to 15 years before clinical diagnosis of the disease. CONCLUSIONS: Taken together, our findings suggest a model of gradual accumulation of cancer-associated DNA methylation patterns in peripheral blood, which may be detected long before clinical manifestation of cancer. Such changes may provide useful markers for risk stratification and, ultimately, personalized cancer prevention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-023-01509-6. |
format | Online Article Text |
id | pubmed-10262593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102625932023-06-15 Buffy coat signatures of breast cancer risk in a prospective cohort study Chung, Felicia Fei-Lei Maldonado, Sandra González Nemc, Amelie Bouaoun, Liacine Cahais, Vincent Cuenin, Cyrille Salle, Aurelie Johnson, Theron Ergüner, Bekir Laplana, Marina Datlinger, Paul Jeschke, Jana Weiderpass, Elisabete Kristensen, Vessela Delaloge, Suzette Fuks, François Risch, Angela Ghantous, Akram Plass, Christoph Bock, Christoph Kaaks, Rudolf Herceg, Zdenko Clin Epigenetics Research BACKGROUND: Epigenetic alterations are a near-universal feature of human malignancy and have been detected in malignant cells as well as in easily accessible specimens such as blood and urine. These findings offer promising applications in cancer detection, subtyping, and treatment monitoring. However, much of the current evidence is based on findings in retrospective studies and may reflect epigenetic patterns that have already been influenced by the onset of the disease. METHODS: Studying breast cancer, we established genome-scale DNA methylation profiles of prospectively collected buffy coat samples (n = 702) from a case–control study nested within the EPIC-Heidelberg cohort using reduced representation bisulphite sequencing (RRBS). RESULTS: We observed cancer-specific DNA methylation events in buffy coat samples. Increased DNA methylation in genomic regions associated with SURF6 and REXO1/CTB31O20.3 was linked to the length of time to diagnosis in the prospectively collected buffy coat DNA from individuals who subsequently developed breast cancer. Using machine learning methods, we piloted a DNA methylation-based classifier that predicted case–control status in a held-out validation set with 76.5% accuracy, in some cases up to 15 years before clinical diagnosis of the disease. CONCLUSIONS: Taken together, our findings suggest a model of gradual accumulation of cancer-associated DNA methylation patterns in peripheral blood, which may be detected long before clinical manifestation of cancer. Such changes may provide useful markers for risk stratification and, ultimately, personalized cancer prevention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-023-01509-6. BioMed Central 2023-06-12 /pmc/articles/PMC10262593/ /pubmed/37309009 http://dx.doi.org/10.1186/s13148-023-01509-6 Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chung, Felicia Fei-Lei Maldonado, Sandra González Nemc, Amelie Bouaoun, Liacine Cahais, Vincent Cuenin, Cyrille Salle, Aurelie Johnson, Theron Ergüner, Bekir Laplana, Marina Datlinger, Paul Jeschke, Jana Weiderpass, Elisabete Kristensen, Vessela Delaloge, Suzette Fuks, François Risch, Angela Ghantous, Akram Plass, Christoph Bock, Christoph Kaaks, Rudolf Herceg, Zdenko Buffy coat signatures of breast cancer risk in a prospective cohort study |
title | Buffy coat signatures of breast cancer risk in a prospective cohort study |
title_full | Buffy coat signatures of breast cancer risk in a prospective cohort study |
title_fullStr | Buffy coat signatures of breast cancer risk in a prospective cohort study |
title_full_unstemmed | Buffy coat signatures of breast cancer risk in a prospective cohort study |
title_short | Buffy coat signatures of breast cancer risk in a prospective cohort study |
title_sort | buffy coat signatures of breast cancer risk in a prospective cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262593/ https://www.ncbi.nlm.nih.gov/pubmed/37309009 http://dx.doi.org/10.1186/s13148-023-01509-6 |
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