Recent research has suggested that the risk factors for cancer and heart disease such as age, sex, smoking, genetics, obesity, diabetes mellitus, and hypertension as well as the pathophysiological pathways such as inflammation and oxidative stress share a significant amount of risk with HF. A provocative interpretation of this finding is that the two diseases are two manifestations of the same disease spectrum. By evaluating the prognostic value and clinical correlates of six commonly used tumor biomarkers in a large, well-defined cohort of HF patients, we aimed to provide evidence for this hypothesis in an unconventional manner. To begin, we demonstrate that four of the six biomarkers for tumors have independent prognostic value and can predict mortality from all causes. Additionally, we demonstrate a strong correlation between various tumor biomarkers, such as NT-proBNP and NYHA class, and indicators of HF severity. Finally, we demonstrate that, in comparison to NT proBNP, CYFRA 21 had comparable predictive power for all-cause mortality. We conclude that pathological signals and pathways that tumor biomarkers "sense" are also present in HF and have correlations with HF severity and outcomes.
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Molecular Biomarkers & Diagnosis received 2054 citations as per Google Scholar report
