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Drugs Metabolism-Related Genes Variants Impact on Anthracycline-Based Chemotherapy Induced Subclinical Cardiotoxicity
Domas Vaitiekus1, Gintare Muckiene2, Dovydas Verikas3
1Clinic of Oncology and Hematology, Institute of Oncology, Faculty of Medicine, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania.
Abstract:
Breast cancer is the most common cancer in women worldwide. Anthracyclines (doxorubicin, epirubicin, daunorubicin, idarubicin) are among the most used drugs for the treatment of breast cancer. Unfortunately, anthracyclines cause cardiotoxicity, which is a limiting factor for its use, and the lifetime cumulative dose of anthracyclines is the major risk factor for cardiotoxicity. In our study, we focused on acute and subacute heart damage. One of the main factors is a genetic predisposition, which determines individual susceptibility to anthracycline cardiotoxicity. The main idea of this study was, for the first time, to evaluate drug metabolism-related genes as a risk factor for developing cardiovascular toxicity in breast cancer patients. The main objective of our study was to identify the impact of drug metabolism-related gene SNPs on the development of subclinical heart damage during and/or after doxorubicin-based chemotherapy in breast cancer patients. The data of 81 women with breast cancer treated with doxorubicin-based chemotherapy in an outpatient clinic were analyzed, and SNP RT-PCR tests were performed. The drug metabolism-related gene variants SULT2B1 rs10426377, UGT1A6 rs17863783, CBR1 rs9024, CBR3 rs1056892, NCF4 rs1883112, and CYBA rs1049255 did not reach a statistically important impact on ABCC in multivariate logistic regression analysis. However, we identified that NCF4 rs1883112 had a risk reduction tendency for ABCC (OR = 0.49, 95% CI 0.27-0.87, p = 0.015). Our findings suggest that some SNPs, such as NCF4 rs1883112, may be associated with a reduced risk of cardiotoxicity, while no variants in this study showed a statistically significant increased risk. Even though, NCF4 rs1883112 showed a risk reduction tendency, suggesting the potential for personalized risk stratification. We can conclude that multiple genes are involved in ABCC, with different impacts, and it is unlikely that there is a single driver gene in ABCC pathogenesis.
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