4.7 Review

Improving cardiotoxicity prediction in cancer treatment: integration of conventional circulating biomarkers and novel exploratory tools

Journal

ARCHIVES OF TOXICOLOGY
Volume 95, Issue 3, Pages 791-805

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00204-020-02952-7

Keywords

Biomarkers; Clinical trials; Genetic variants; Omics; Human stem cell-derived cardiomyocytes; Artificial intelligence

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Early detection strategies and improvements in cancer treatment have significantly reduced cancer mortality rates in the US. However, cardiovascular side effects of cancer therapy are common among cancer survivors, making cardiovascular disease the second leading cause of morbidity and mortality in this population. Circulating biomarkers are ideal for detecting and monitoring these side effects. Novel tools such as genetic testing and Omics technologies can help elucidate underlying molecular mechanisms and improve prediction and management of cancer therapy-related cardiotoxicity.
Early detection strategies and improvements in cancer treatment have dramatically reduced the cancer mortality rate in the United States (US). However, cardiovascular (CV) side effects of cancer therapy are frequent among the 17 million cancer survivors in the US today, and cardiovascular disease (CVD) has become the second leading cause of morbidity and mortality among cancer survivors. Circulating biomarkers are ideal for detecting and monitoring CV side effects of cancer therapy. Here, we summarize the current state of clinical studies on conventional serum and plasma CVD biomarkers to detect and prevent cardiac injury during cancer treatment. We also review how novel exploratory tools such as genetic testing, human stem cell-derived cardiomyocytes, Omics technologies, and artificial intelligence can elucidate underlying molecular and genetic mechanisms of CV injury and to improve predicting cancer therapy-related cardiotoxicity (CTRC). Current regulatory requirements for biomarker qualifications are also addressed. We present generally applicable lessons learned from published studies, particularly on how to improve reproducibility. The combination of conventional circulating biomarkers and novel exploratory tools will pave the way for precision medicine and improve the clinical practice of prediction, detection, and management of CTRC.

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