Cargando…

Established Tumour Biomarkers Predict Cardiovascular Events and Mortality in the General Population

Introduction: Several lines of evidence reveal that cardiovascular disease (CVD) and cancer share similar common pathological milieus. The prevalence of the two diseases is growing as the population ages and the burden of shared risk factors increases. In this respect, we hypothesise that tumour bio...

Descripción completa

Detalles Bibliográficos
Autores principales: Bracun, Valentina, Suthahar, Navin, Shi, Canxia, de Wit, Sanne, Meijers, Wouter C., Klip, IJsbrand T., de Boer, Rudolf A., Aboumsallem, Joseph Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692719/
https://www.ncbi.nlm.nih.gov/pubmed/34957244
http://dx.doi.org/10.3389/fcvm.2021.753885
_version_ 1784618996416380928
author Bracun, Valentina
Suthahar, Navin
Shi, Canxia
de Wit, Sanne
Meijers, Wouter C.
Klip, IJsbrand T.
de Boer, Rudolf A.
Aboumsallem, Joseph Pierre
author_facet Bracun, Valentina
Suthahar, Navin
Shi, Canxia
de Wit, Sanne
Meijers, Wouter C.
Klip, IJsbrand T.
de Boer, Rudolf A.
Aboumsallem, Joseph Pierre
author_sort Bracun, Valentina
collection PubMed
description Introduction: Several lines of evidence reveal that cardiovascular disease (CVD) and cancer share similar common pathological milieus. The prevalence of the two diseases is growing as the population ages and the burden of shared risk factors increases. In this respect, we hypothesise that tumour biomarkers can be potential predictors of CVD outcomes in the general population. Methods: We measured six tumour biomarkers (AFP, CA125, CA15-3, CA19-9, CEA and CYFRA 21-1) and determined their predictive value for CVD in the Prevention of Renal and Vascular End-stage Disease (PREVEND) study. A total of 8,592 subjects were enrolled in the study. Results: The levels of CEA significantly predicted CV morbidity and mortality, with hazard ratios (HRs) of HR 1.28 (95% CI 1.08–1.53), respectively. Two biomarkers (CA15-3 and CEA) showed statistical significance in predicting all-cause mortality, with HRs 1.58 (95% CI 1.18–2.12) and HR 1.60 (95% CI 1.30–1.96), when adjusted for shared risk factors and prevalent CVD. Furthermore, biomarkers seem to be sex specific. CYFRA 21-1 presented as an independent predictor of CV morbidity and mortality in female, but not in male gender, with HR 1.82 (95% CI 1.40–2.35). When it comes to all-cause mortality, both CYFRA and CEA show statistical significance in male gender, with HR 1.64 (95% CI 1.28–3.12) and HR 1.55 (95% CI 1.18–2.02), while only CEA showed statistical significance in female gender, with HR 1.64 (95% CI 1.20–2.24). Lastly, CA15-3 and CEA strongly predicted CV mortality with HR 3.01 (95% CI 1.70–5.32) and HR 1.82 (95% CI 1.30–2.56). On another hand, CA 15-3 also presented as an independent predictor of heart failure (HF) with HR 1.67 (95% CI 1.15–2.42). Conclusion: Several tumour biomarkers demonstrated independent prognostic value for CV events and all-cause mortality in a large cohort from the general population. These findings support the notion that CVD and cancer are associated with similar pathological milieus.
format Online
Article
Text
id pubmed-8692719
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-86927192021-12-23 Established Tumour Biomarkers Predict Cardiovascular Events and Mortality in the General Population Bracun, Valentina Suthahar, Navin Shi, Canxia de Wit, Sanne Meijers, Wouter C. Klip, IJsbrand T. de Boer, Rudolf A. Aboumsallem, Joseph Pierre Front Cardiovasc Med Cardiovascular Medicine Introduction: Several lines of evidence reveal that cardiovascular disease (CVD) and cancer share similar common pathological milieus. The prevalence of the two diseases is growing as the population ages and the burden of shared risk factors increases. In this respect, we hypothesise that tumour biomarkers can be potential predictors of CVD outcomes in the general population. Methods: We measured six tumour biomarkers (AFP, CA125, CA15-3, CA19-9, CEA and CYFRA 21-1) and determined their predictive value for CVD in the Prevention of Renal and Vascular End-stage Disease (PREVEND) study. A total of 8,592 subjects were enrolled in the study. Results: The levels of CEA significantly predicted CV morbidity and mortality, with hazard ratios (HRs) of HR 1.28 (95% CI 1.08–1.53), respectively. Two biomarkers (CA15-3 and CEA) showed statistical significance in predicting all-cause mortality, with HRs 1.58 (95% CI 1.18–2.12) and HR 1.60 (95% CI 1.30–1.96), when adjusted for shared risk factors and prevalent CVD. Furthermore, biomarkers seem to be sex specific. CYFRA 21-1 presented as an independent predictor of CV morbidity and mortality in female, but not in male gender, with HR 1.82 (95% CI 1.40–2.35). When it comes to all-cause mortality, both CYFRA and CEA show statistical significance in male gender, with HR 1.64 (95% CI 1.28–3.12) and HR 1.55 (95% CI 1.18–2.02), while only CEA showed statistical significance in female gender, with HR 1.64 (95% CI 1.20–2.24). Lastly, CA15-3 and CEA strongly predicted CV mortality with HR 3.01 (95% CI 1.70–5.32) and HR 1.82 (95% CI 1.30–2.56). On another hand, CA 15-3 also presented as an independent predictor of heart failure (HF) with HR 1.67 (95% CI 1.15–2.42). Conclusion: Several tumour biomarkers demonstrated independent prognostic value for CV events and all-cause mortality in a large cohort from the general population. These findings support the notion that CVD and cancer are associated with similar pathological milieus. Frontiers Media S.A. 2021-12-08 /pmc/articles/PMC8692719/ /pubmed/34957244 http://dx.doi.org/10.3389/fcvm.2021.753885 Text en Copyright © 2021 Bracun, Suthahar, Shi, de Wit, Meijers, Klip, de Boer and Aboumsallem. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Bracun, Valentina
Suthahar, Navin
Shi, Canxia
de Wit, Sanne
Meijers, Wouter C.
Klip, IJsbrand T.
de Boer, Rudolf A.
Aboumsallem, Joseph Pierre
Established Tumour Biomarkers Predict Cardiovascular Events and Mortality in the General Population
title Established Tumour Biomarkers Predict Cardiovascular Events and Mortality in the General Population
title_full Established Tumour Biomarkers Predict Cardiovascular Events and Mortality in the General Population
title_fullStr Established Tumour Biomarkers Predict Cardiovascular Events and Mortality in the General Population
title_full_unstemmed Established Tumour Biomarkers Predict Cardiovascular Events and Mortality in the General Population
title_short Established Tumour Biomarkers Predict Cardiovascular Events and Mortality in the General Population
title_sort established tumour biomarkers predict cardiovascular events and mortality in the general population
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692719/
https://www.ncbi.nlm.nih.gov/pubmed/34957244
http://dx.doi.org/10.3389/fcvm.2021.753885
work_keys_str_mv AT bracunvalentina establishedtumourbiomarkerspredictcardiovasculareventsandmortalityinthegeneralpopulation
AT suthaharnavin establishedtumourbiomarkerspredictcardiovasculareventsandmortalityinthegeneralpopulation
AT shicanxia establishedtumourbiomarkerspredictcardiovasculareventsandmortalityinthegeneralpopulation
AT dewitsanne establishedtumourbiomarkerspredictcardiovasculareventsandmortalityinthegeneralpopulation
AT meijerswouterc establishedtumourbiomarkerspredictcardiovasculareventsandmortalityinthegeneralpopulation
AT klipijsbrandt establishedtumourbiomarkerspredictcardiovasculareventsandmortalityinthegeneralpopulation
AT deboerrudolfa establishedtumourbiomarkerspredictcardiovasculareventsandmortalityinthegeneralpopulation
AT aboumsallemjosephpierre establishedtumourbiomarkerspredictcardiovasculareventsandmortalityinthegeneralpopulation