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Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study

BACKGROUND: Advancements in cancer therapeutics have resulted in increases in cancer-related survival; however, there is a growing clinical dilemma. The current balancing of survival benefits and future cardiotoxic harms of oncotherapies has resulted in an increased burden of cardiovascular disease...

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Autores principales: Liou, Lathan, Kaptoge, Stephen, Dennis, Joe, Shah, Mitul, Tyrer, Jonathan, Inouye, Michael, Easton, Douglas F., Pharoah, Paul D. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482562/
https://www.ncbi.nlm.nih.gov/pubmed/34593009
http://dx.doi.org/10.1186/s13058-021-01465-0
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author Liou, Lathan
Kaptoge, Stephen
Dennis, Joe
Shah, Mitul
Tyrer, Jonathan
Inouye, Michael
Easton, Douglas F.
Pharoah, Paul D. P.
author_facet Liou, Lathan
Kaptoge, Stephen
Dennis, Joe
Shah, Mitul
Tyrer, Jonathan
Inouye, Michael
Easton, Douglas F.
Pharoah, Paul D. P.
author_sort Liou, Lathan
collection PubMed
description BACKGROUND: Advancements in cancer therapeutics have resulted in increases in cancer-related survival; however, there is a growing clinical dilemma. The current balancing of survival benefits and future cardiotoxic harms of oncotherapies has resulted in an increased burden of cardiovascular disease in breast cancer survivors. Risk stratification may help address this clinical dilemma. This study is the first to assess the association between a coronary artery disease-specific polygenic risk score and incident coronary artery events in female breast cancer survivors. METHODS: We utilized the Studies in Epidemiology and Research in Cancer Heredity prospective cohort involving 12,413 women with breast cancer with genotype information and without a baseline history of cardiovascular disease. Cause-specific hazard ratios for association of the polygenic risk score and incident coronary artery disease (CAD) were obtained using left-truncated Cox regression adjusting for age, genotype array, conventional risk factors such as smoking and body mass index, as well as other sociodemographic, lifestyle, and medical variables. RESULTS: Over a median follow-up of 10.3 years (IQR: 16.8) years, 750 incident fatal or non-fatal coronary artery events were recorded. A 1 standard deviation higher polygenic risk score was associated with an adjusted hazard ratio of 1.33 (95% CI 1.20, 1.47) for incident CAD. CONCLUSIONS: This study provides evidence that a coronary artery disease-specific polygenic risk score can risk-stratify breast cancer survivors independently of other established cardiovascular risk factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-021-01465-0.
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spelling pubmed-84825622021-09-30 Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study Liou, Lathan Kaptoge, Stephen Dennis, Joe Shah, Mitul Tyrer, Jonathan Inouye, Michael Easton, Douglas F. Pharoah, Paul D. P. Breast Cancer Res Research Article BACKGROUND: Advancements in cancer therapeutics have resulted in increases in cancer-related survival; however, there is a growing clinical dilemma. The current balancing of survival benefits and future cardiotoxic harms of oncotherapies has resulted in an increased burden of cardiovascular disease in breast cancer survivors. Risk stratification may help address this clinical dilemma. This study is the first to assess the association between a coronary artery disease-specific polygenic risk score and incident coronary artery events in female breast cancer survivors. METHODS: We utilized the Studies in Epidemiology and Research in Cancer Heredity prospective cohort involving 12,413 women with breast cancer with genotype information and without a baseline history of cardiovascular disease. Cause-specific hazard ratios for association of the polygenic risk score and incident coronary artery disease (CAD) were obtained using left-truncated Cox regression adjusting for age, genotype array, conventional risk factors such as smoking and body mass index, as well as other sociodemographic, lifestyle, and medical variables. RESULTS: Over a median follow-up of 10.3 years (IQR: 16.8) years, 750 incident fatal or non-fatal coronary artery events were recorded. A 1 standard deviation higher polygenic risk score was associated with an adjusted hazard ratio of 1.33 (95% CI 1.20, 1.47) for incident CAD. CONCLUSIONS: This study provides evidence that a coronary artery disease-specific polygenic risk score can risk-stratify breast cancer survivors independently of other established cardiovascular risk factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-021-01465-0. BioMed Central 2021-09-30 2021 /pmc/articles/PMC8482562/ /pubmed/34593009 http://dx.doi.org/10.1186/s13058-021-01465-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Article
Liou, Lathan
Kaptoge, Stephen
Dennis, Joe
Shah, Mitul
Tyrer, Jonathan
Inouye, Michael
Easton, Douglas F.
Pharoah, Paul D. P.
Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study
title Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study
title_full Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study
title_fullStr Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study
title_full_unstemmed Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study
title_short Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study
title_sort genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482562/
https://www.ncbi.nlm.nih.gov/pubmed/34593009
http://dx.doi.org/10.1186/s13058-021-01465-0
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