REVIEW article
Front. Oncol.
Sec. Cardio-Oncology
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1651793
Coronary Heart Disease and Cancer: Shared Risk Factors and Advances in Machine Learning
Provisionally accepted
- Division of Cardiology, Huazhong University of Science and Technology Tongji Medical College Tongji Hospital, Wuhan, China
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Coronary heart disease (CHD) and cancer are among the leading causes of morbidity and mortality worldwide, imposing significant health and economic burdens on countries. Although commonly viewed as distinct diseases, CHD and cancer share several common risk factors, which suggests that their underlying biological mechanisms may overlap. Machine learning (ML), through its ongoing advancements, has significantly enhanced predictive capabilities in medicine. This review aims to summarize the shared risk factors between CHD and cancer and to evaluate the current status of research on prediction in patients with these conditions using ML models, thereby providing valuable insights for clinicians and researchers.
Keywords: coronary heart disease1, Cancer2, Risk factor3, machine learning4, prediction5
Received: 22 Jun 2025; Accepted: 28 Jul 2025.
Copyright: © 2025 Zheng, Zhu and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Hongling Zhu, Division of Cardiology, Huazhong University of Science and Technology Tongji Medical College Tongji Hospital, Wuhan, China
Yan Wang, Division of Cardiology, Huazhong University of Science and Technology Tongji Medical College Tongji Hospital, Wuhan, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.