Abstract 4173: Lipidome of mammographic breast density in premenopausal women

• Published in: Cancer research (Chicago, Ill.) Ill.), 2023-04, Vol.83 (7_Supplement), p.4173-4173
• Main Authors: Getz, Kayla R., Jeon, Myung S., Luo, Chongliang, Luo, Jingqin, Toriola, Adetunji T.
• Format: Article
• Language: English
• ISSN: 1538-7445; 1538-7445
• DOI: 10.1158/1538-7445.AM2023-4173

Introduction: High mammographic breast density (MBD) is a strong risk factor for breast cancer, but the biological mechanisms underlying high MBD are not well understood. We, therefore, comprehensively investigated for the first time the associations of lipid species with volumetric measures of MBD to elucidate potential biological mechanisms of high MBD in premenopausal women. Methods: We performed lipidomic profiling on 705 premenopausal women recruited during their annual screening mammogram at Washington University School of Medicine, St. Louis, MO. Lipidomic profiling for 982 lipid species was completed at Metabolon (Durham, NC®). Lipid species with greater than 300 missing values (N=125) were excluded from the analysis. Using nearest neighbor methods, we imputed the lipid species missing less than 300 values. We used Volpara 1.5 (Volpara Health®) to quantify volumetric measures of MBD - volumetric percent density (VPD), dense volume (DV), and non-dense volume (NDV). We investigated the associations of the lipid species with MBD measures using multivariable linear regression models adjusting for age, age at menarche, body shape at age 10, race/ethnicity, body fat %, family history of breast cancer, oral contraceptive use, parity/age at first birth, and alcohol use. MBD measures were log10-transformed, and lipid species were standardized. Linear coefficients were back-transformed to the original scale and considered significant if the Bonferroni corrected p