In:
Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 15_suppl ( 2017-05-20), p. e12064-e12064
Abstract:
e12064 Background: Data on long-term cardiovascular effects and safety of aromatase inhibitors (AI) are limited and conflicting. The purpose of the current study was to evaluate the effect of AI on vascular injury as assessed by peripheral endothelial function among women with breast cancer. Methods: This is an observational, prospective study of 96 postmenopausal women with breast cancer at initiation of treatment, with or without AI. All participants underwent baseline and 6-12 months follow up non-invasive peripheral endothelial function measurement. Reactive hyperemia index (RHI) was measured using the EndoPAT test. The primary endpoint was endothelial function deterioration of at least 20% between baseline and follow-up. Results: Mean age of the study population was 66±7 years. There was no statistical difference in demographic data between the groups. Compared with the control group, more women in the treatment group demonstrated worsening of RHI (53% vs. 42%, p = 0.207) between baseline and 6-12 month follow up measurement. There was no statistical difference between the groups at baseline. When RHI deterioration was evaluated as a dichotomous variable, with a 20% cutoff, women in the AI group demonstrated higher rates of RHI deterioration (28% vs. 8%, p=0.020). The risk of AIs for endothelial dysfunction was correlated with burden of cardiovascular (CV) risk, such that in women with 〉 3 CV risk factors, AIs were associated with increased risk of RHI deterioration (42% vs. 10%, p=0.016), whereas in women with 〈 2 CV risk factors, rates of RHI deterioration were similar in AI and control groups (20% vs. 7%, p = 0.232). Conclusions: This study suggests that AI therapy may be associated with vascular injury as detected by deterioration in endothelial function. The effect is more pronounced among women with higher baseline CV risk factor burden. The results of this study have potentially important implications for patients with breast cancer being treated with AI and for women at increased lifetime risk of breast cancer who may use AI for breast cancer risk reduction. Clinical trial information: NCT00719966.
Type of Medium:
Online Resource
ISSN:
0732-183X
,
1527-7755
DOI:
10.1200/JCO.2017.35.15_suppl.e12064
Language:
English
Publisher:
American Society of Clinical Oncology (ASCO)
Publication Date:
2017
detail.hit.zdb_id:
2005181-5
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