[Development of Preventive Methods for Drug-induced Cardiotoxicity Using a Large-scale Medical Information Database]

Cancer therapies have evolved considerably thereby substantially improving the survival of patients with cancer. However, cardiotoxicity, such as myocarditis and heart failure, induced by anticancer drugs, including immune checkpoint inhibitor(ICI)s and doxorubicin, present serious challenges. Numerous observations have indicated increased risks of cardiotoxicity- and cancer-related mortality in patients with drug-induced cardiotoxicity. Therefore, the prevention and management of drug-induced cardiotoxicity should be prioritized to enable sustainable long-term treatment while preserving patients' quality of life. Recently, medical research has been primarily focused on elucidation of therapeutic benefits and adverse events using medical big data, including worldwide databases of adverse events. The aim of the present study was to establish prevention strategies for drug-induced cardiotoxicity and advance data analytics. A data-driven approach was adopted to comprehensively analyze patient data and drug-induced cardiotoxicity. These data analytics revealed numerous risk factors, leading to the development of drugs that mitigate these factors. Furthermore, many unknown adverse events with molecularly targeted drugs were brought to light. Consequently, the importance of managing adverse events, guided by insights from data science, is predicted to increase. In this symposium review, we introduce our research exemplifying pharmaceutical studies utilizing medical big data. In particular, we discuss in detail the risk factors associated with myocarditis induced by immune checkpoint inhibitors along with prophylactic agents to mitigate doxorubicin-induced cardiotoxicity.