Using biomarkers to predict and to prevent cardiotoxicity of cancer therapy
- PMID: 28092472
- DOI: 10.1080/14737159.2017.1283219
Using biomarkers to predict and to prevent cardiotoxicity of cancer therapy
Abstract
Cardiotoxicity is a common complication that may compromise the clinical effectiveness of anticancer therapy. The current standard for monitoring cardiac function detects cardiotoxicity only when a functional impairment has already occurred, not allowing for any early preventive strategy. Areas covered: A novel approach, based on the use of biomarkers has recently emerged, resulting in a very effective tool for early, real-time identification, and monitoring of cardiotoxicity. In particular, cardiac troponin elevation during chemotherapy allows to identify patients more prone to develop myocardial dysfunction and cardiac events. In these patients, use of angiotensin-converting enzyme inhibitors, such as enalapril, has shown to be effective in improving clinical outcomes, giving the chance for cardioprotective strategies in a selected population. The authors reviewed the currently available data about the role of biomarkers in this setting. Expert commentary: Early identification of patients at high risk of cardiotoxicity by cardiac biomarkers - in particular troponin - provides a rationale for targeted preventive strategies against cancer therapy-induced left ventricular dysfunction and its associated clinical complications, with the advantage of limiting prophylactic therapy only to a restricted number of patients. Although the major international oncologic societies encourage this approach, some limitations to a routinely use of biomarkers still exist.
Keywords: ACE-inhibitors; Cardiotoxicity; biomarkers; chemotherapy; natriuretic peptides; prevention; troponin.
Comment in
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Molecular imaging to guide precision diagnosis and prevention of cancer therapeutics-related cardiac dysfunction.Expert Rev Mol Diagn. 2020 Apr;20(4):355-358. doi: 10.1080/14737159.2020.1717336. Epub 2020 Jan 22. Expert Rev Mol Diagn. 2020. PMID: 31944137 No abstract available.
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