Purpose
Aromatase inhibitors (AI) can exert unfavorable effects on lipid profiles; however, previous studies have reported inconsistent results. We describe the association of single-nucleotide polymorphisms (SNP) in candidate genes with lipid profiles in women treated with adjuvant AIs.
Experimental Design
We conducted a prospective observational study to test the associations between SNPs in candidate genes in estrogen signaling and AI metabolism pathways with fasting lipid profiles during the first three months of AI therapy in postmenopausal women with early breast cancer randomized to adjuvant letrozole or exemestane. We performed genetic association analysis and multivariable linear regressions using dominant, recessive, and additive models.
Results
A total of 303 women had complete genetic and lipid data and were evaluable for analysis. In letrozole-treated patients, SNPs in CYP19A1, including rs4646, rs10046, rs700518, rs749292, rs2289106, rs3759811, and rs4775936 were significantly associated with decreases in triglycerides (TG) by 20.2 mg/dL and 39.3mg/dL (p<0.00053), respectively, and with variable changes in high-density lipoprotein (HDL-C) from decreases by 4.2 mg/dL to increases by 9.8 mg/dL (p<0.00053).
Conclusion
Variants in CYP19A1 are associated with decreases in TG and variable changes in HDL-C in postmenopausal women on adjuvant AIs. Future studies are needed to validate these findings, and to identify breast cancer survivors who are at higher risk for cardiovascular disease with AI therapy.