Shared Risk Factors in Cardiovascular Disease and Cancer
By Ryan J Koene, A. Prizment, Anne H Blaes, Suma H Konety. Circulation, 2016
1,229 citations recorded by the source corpus.
Cardiovascular disease (CVD) and cancer are the 2 leading causes of death worldwide. Although commonly thought of as 2 separate disease entities, CVD and cancer possess various similarities and possible interactions, including a number of similar risk factors (eg, obesity, diabetes mellitus), suggesting a shared biology for which there is emerging evidence. Although chronic inflammation is an indispensable feature of the pathogenesis and progression of both CVD and cancer, additional mechanisms can be found at their intersection. Therapeutic advances, despite improving longevity, have increased the overlap between these diseases, with millions of cancer survivors now at risk of developing CVD. Cardiac risk factors have a major impact on subsequent treatment-related cardiotoxicity. In this review, we explore the risk factors common to both CVD and cancer, highlighting the major epidemiological studies and potential biological mechanisms that account for them.
Subfields: Cancer Research, Cardiology and Cardiovascular Medicine, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/091aac75eec4574d1e873d1d1305208964046d3a
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Citations in the corpus
- A population-based study of cardiovascular disease mortality risk in US cancer patients. (2019, background): “cancers.(32) Patients with co-existing CVDs at cancer diagnosis are also at high risk of cardiotoxicity from cancer treatment.”
- Defining a Healthy Diet: Evidence for the Role of Contemporary Dietary Patterns in Health and Disease (2020, background): “Dietary choices, for example, contribute to the risk for developing hypertension, hypercholesterolemia, overweight/obesity, and inflammation, which in turn increase the risk for diseases that are associated with significant morbidity and mortality, including cardiovascular disease, ”
- DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks (2018, background): “Especially in medical setting, the survival analysis is further applied to discovering risk factors affecting the survival (Koene et al. 2016), comparison among risks of different subjects at a certain time of interest (Yoon et al. 2017), decision of a costefficient sensing period (e.g. screening…”