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Contribution of Genome-Wide Polygenic Score to Risk of Coronary Artery Disease in Childhood Cancer Survivors

BACKGROUND: Adverse cardiovascular outcomes such as coronary artery disease (CAD) are the leading noncancer causes of morbidity and mortality among childhood cancer survivors. OBJECTIVES: The aim of this study was to assess the role of a genome-wide polygenic score (GPS) for CAD, well validated in t...

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Autores principales: Sapkota, Yadav, Liu, Qi, Li, Nan, Bhatt, Neel S., Ehrhardt, Matthew J., Wilson, Carmen L., Wang, Zhaoming, Jefferies, John L., Zhang, Jinghui, Armstrong, Gregory T., Hudson, Melissa M., Robison, Leslie L., Mulrooney, Daniel A., Yasui, Yutaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270604/
https://www.ncbi.nlm.nih.gov/pubmed/35818558
http://dx.doi.org/10.1016/j.jaccao.2022.04.003
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author Sapkota, Yadav
Liu, Qi
Li, Nan
Bhatt, Neel S.
Ehrhardt, Matthew J.
Wilson, Carmen L.
Wang, Zhaoming
Jefferies, John L.
Zhang, Jinghui
Armstrong, Gregory T.
Hudson, Melissa M.
Robison, Leslie L.
Mulrooney, Daniel A.
Yasui, Yutaka
author_facet Sapkota, Yadav
Liu, Qi
Li, Nan
Bhatt, Neel S.
Ehrhardt, Matthew J.
Wilson, Carmen L.
Wang, Zhaoming
Jefferies, John L.
Zhang, Jinghui
Armstrong, Gregory T.
Hudson, Melissa M.
Robison, Leslie L.
Mulrooney, Daniel A.
Yasui, Yutaka
author_sort Sapkota, Yadav
collection PubMed
description BACKGROUND: Adverse cardiovascular outcomes such as coronary artery disease (CAD) are the leading noncancer causes of morbidity and mortality among childhood cancer survivors. OBJECTIVES: The aim of this study was to assess the role of a genome-wide polygenic score (GPS) for CAD, well validated in the general population, and its interplay with cancer-related risk factors among childhood cancer survivors. METHODS: In a cohort study of 2,472 5-year childhood cancer survivors from the St. Jude Lifetime Cohort, the association between the GPS and the risk of CAD was performed using Cox regression models adjusted for age at cancer diagnosis, sex, cumulative dose of anthracyclines, and mean heart radiation dose. RESULTS: Among survivors of European ancestry, the GPS was significantly associated with the risk of CAD (HR per 1 SD of the GPS: 1.25; 95% CI: 1.04-1.49; P = 0.014). Compared with the first tertile, survivors in the upper tertile had a greater risk of CAD (1.51-fold higher HR of CAD [95% CI: 0.96-2.37; P = 0.074]), although the difference was not statistically significant. The GPS-CAD association was stronger among survivors diagnosed with cancer at age <10 years exposed to >25 Gy heart radiation (HR top vs. bottom tertile of GPS: 15.49; 95% CI: 5.24-45.52; P(trend) = 0.005) but not among those diagnosed at age ≥10 years (P(trend) ≥ 0.77) and not among those diagnosed at age <10 years exposed to ≤25 Gy heart radiation (P(trend) = 0.23). Among high-risk survivors, defined by an estimated relative hazard ≥3.0 from fitted Cox models including clinical risk factors alone, the cumulative incidence of CAD at 40 years from diagnosis was 29% (95% CI: 13%-45%). After incorporating the GPS into the model, the cumulative incidence increased to 48% (95% CI: 26%-69%). CONCLUSIONS: Childhood cancer survivors are at risk for premature CAD. A GPS may help identify those who may benefit from targeted screening and personalized preventive interventions.
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spelling pubmed-92706042022-07-10 Contribution of Genome-Wide Polygenic Score to Risk of Coronary Artery Disease in Childhood Cancer Survivors Sapkota, Yadav Liu, Qi Li, Nan Bhatt, Neel S. Ehrhardt, Matthew J. Wilson, Carmen L. Wang, Zhaoming Jefferies, John L. Zhang, Jinghui Armstrong, Gregory T. Hudson, Melissa M. Robison, Leslie L. Mulrooney, Daniel A. Yasui, Yutaka JACC CardioOncol Original Research BACKGROUND: Adverse cardiovascular outcomes such as coronary artery disease (CAD) are the leading noncancer causes of morbidity and mortality among childhood cancer survivors. OBJECTIVES: The aim of this study was to assess the role of a genome-wide polygenic score (GPS) for CAD, well validated in the general population, and its interplay with cancer-related risk factors among childhood cancer survivors. METHODS: In a cohort study of 2,472 5-year childhood cancer survivors from the St. Jude Lifetime Cohort, the association between the GPS and the risk of CAD was performed using Cox regression models adjusted for age at cancer diagnosis, sex, cumulative dose of anthracyclines, and mean heart radiation dose. RESULTS: Among survivors of European ancestry, the GPS was significantly associated with the risk of CAD (HR per 1 SD of the GPS: 1.25; 95% CI: 1.04-1.49; P = 0.014). Compared with the first tertile, survivors in the upper tertile had a greater risk of CAD (1.51-fold higher HR of CAD [95% CI: 0.96-2.37; P = 0.074]), although the difference was not statistically significant. The GPS-CAD association was stronger among survivors diagnosed with cancer at age <10 years exposed to >25 Gy heart radiation (HR top vs. bottom tertile of GPS: 15.49; 95% CI: 5.24-45.52; P(trend) = 0.005) but not among those diagnosed at age ≥10 years (P(trend) ≥ 0.77) and not among those diagnosed at age <10 years exposed to ≤25 Gy heart radiation (P(trend) = 0.23). Among high-risk survivors, defined by an estimated relative hazard ≥3.0 from fitted Cox models including clinical risk factors alone, the cumulative incidence of CAD at 40 years from diagnosis was 29% (95% CI: 13%-45%). After incorporating the GPS into the model, the cumulative incidence increased to 48% (95% CI: 26%-69%). CONCLUSIONS: Childhood cancer survivors are at risk for premature CAD. A GPS may help identify those who may benefit from targeted screening and personalized preventive interventions. Elsevier 2022-06-21 /pmc/articles/PMC9270604/ /pubmed/35818558 http://dx.doi.org/10.1016/j.jaccao.2022.04.003 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research
Sapkota, Yadav
Liu, Qi
Li, Nan
Bhatt, Neel S.
Ehrhardt, Matthew J.
Wilson, Carmen L.
Wang, Zhaoming
Jefferies, John L.
Zhang, Jinghui
Armstrong, Gregory T.
Hudson, Melissa M.
Robison, Leslie L.
Mulrooney, Daniel A.
Yasui, Yutaka
Contribution of Genome-Wide Polygenic Score to Risk of Coronary Artery Disease in Childhood Cancer Survivors
title Contribution of Genome-Wide Polygenic Score to Risk of Coronary Artery Disease in Childhood Cancer Survivors
title_full Contribution of Genome-Wide Polygenic Score to Risk of Coronary Artery Disease in Childhood Cancer Survivors
title_fullStr Contribution of Genome-Wide Polygenic Score to Risk of Coronary Artery Disease in Childhood Cancer Survivors
title_full_unstemmed Contribution of Genome-Wide Polygenic Score to Risk of Coronary Artery Disease in Childhood Cancer Survivors
title_short Contribution of Genome-Wide Polygenic Score to Risk of Coronary Artery Disease in Childhood Cancer Survivors
title_sort contribution of genome-wide polygenic score to risk of coronary artery disease in childhood cancer survivors
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270604/
https://www.ncbi.nlm.nih.gov/pubmed/35818558
http://dx.doi.org/10.1016/j.jaccao.2022.04.003
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