Potential Gene Association Studies of Chemotherapy-Induced Cardiotoxicity: A Systematic Review and Meta-Analysis.

Abstract

Chemotherapy is widely used in the treatment of cancer patients, but the cardiotoxicity induced by chemotherapy is still a major concern to most clinicians. Currently, genetic methods have been used to detect patients with high risk of chemotherapy-induced cardiotoxicity (CIC), and our study evaluated the correlation between genomic variants and CIC. The systematic literature search was performed in the PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), China Biology Medicine disc (CBMdisc), the Embase database, China National Knowledge Internet (CNKI) and Wanfang database from inception until June 2020. Forty-one studies were identified that examined the relationship between genetic variations and CIC. And these studies examined 88 different genes and 154 single nucleotide polymorphisms (SNPs). Our study indicated 6 variants obviously associated with the increased risk for CIC, including CYBA rs4673 (pooled odds ratio, 1.93; 95% CI, 1.13-3.30), RAC2 rs13058338 (2.05; 1.11-3.78), CYP3A5 rs776746 (2.15; 1.00-4.62) ABCC1 rs45511401 (1.46; 1.05-2.01), ABCC2 rs8187710 (2.19; 1.38-3.48), and HER2-Ile655Val rs1136201 (2.48; 1.53-4.02). Although further studies are required to validate the diagnostic and prognostic roles of these 6 variants in predicting CIC, our study emphasizes the promising benefits of pharmacogenomic screening before chemotherapy to minimize the CIC.

• Authors: Xinyu Yang, Guoping Li, Manke Guan, Aneesh Bapat, Qianqian Dai, Changming Zhong, Tao Yang, Changyong Luo, Na An, Wenjing Liu, Fan Yang, Haie Pan, Pengqian Wang, Yonghong Gao, Ye Gong, Saumya Das, Hongcai Shang, Yanwei Xing
• Journal: Frontiers in cardiovascular medicine (Front Cardiovasc Med) Vol. 8 Pg. 651269 ( 2021) ISSN: 2297-055X [Print] Switzerland
• PMID: 34150864 (Publication Type: Systematic Review)
• Copyright: Copyright © 2021 Yang, Li, Guan, Bapat, Dai, Zhong, Yang, Luo, An, Liu, Yang, Pan, Wang, Gao, Gong, Das, Shang and Xing.