Aspirin Metabolites and Mammographic Breast Density in Premenopausal Women.


Journal

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
ISSN: 1538-7755
Titre abrégé: Cancer Epidemiol Biomarkers Prev
Pays: United States
ID NLM: 9200608

Informations de publication

Date de publication:
03 May 2024
Historique:
accepted: 30 04 2024
received: 03 01 2024
revised: 13 03 2024
medline: 3 5 2024
pubmed: 3 5 2024
entrez: 3 5 2024
Statut: aheadofprint

Résumé

Studies investigating the associations of self-reported aspirin use and mammographic breast density (MBD) have reported conflicting results. We, therefore, investigated the associations of aspirin metabolites, with MBD in premenopausal women. We performed this study on 705 premenopausal women who had fasting blood draw for metabolomic profiling. We performed covariate-adjusted linear regression models to calculate the least squares means of volumetric measures of MBD (volumetric percent density (VPD), dense volume (DV), and non-dense volume (NDV)) by quartiles of aspirin metabolites (salicyluric glucuronide, 2-hydroxyhippurate (salicylurate), salicylate, and 2,6-dihydroxybenzoic acid). Approximately 13% of participants reported taking aspirin in the past 12 months. Aspirin users had higher levels of 2-hydroxyhippurate (salicylurate), salicylate, and salicyluric glucuronide (peak area) than non-users, but only mean peak area of salicyluric glucuronide increased by both dose (1-2 tabs per day=1,140,663.7, and ≥3 tabs per day=1,380,476.0) and frequency (days per week: 1 day=888,129.3, 2-3 days=1,199,897.9 and ≥4 days=1,654,637.0). Aspirin metabolites were not monotonically associated with VPD, DV, or NDV. Given the null results, additional research investigating the associations of aspirin metabolites in breast tissue and MBD is necessary. Elucidating the determinants of MBD, a strong risk factor for breast cancer, can play an important role in breast cancer prevention. Future studies should determine the associations of non-aspirin non-steroidal anti-inflammatory drug metabolites with MBD.

Sections du résumé

BACKGROUND BACKGROUND
Studies investigating the associations of self-reported aspirin use and mammographic breast density (MBD) have reported conflicting results. We, therefore, investigated the associations of aspirin metabolites, with MBD in premenopausal women.
METHODS METHODS
We performed this study on 705 premenopausal women who had fasting blood draw for metabolomic profiling. We performed covariate-adjusted linear regression models to calculate the least squares means of volumetric measures of MBD (volumetric percent density (VPD), dense volume (DV), and non-dense volume (NDV)) by quartiles of aspirin metabolites (salicyluric glucuronide, 2-hydroxyhippurate (salicylurate), salicylate, and 2,6-dihydroxybenzoic acid).
RESULTS RESULTS
Approximately 13% of participants reported taking aspirin in the past 12 months. Aspirin users had higher levels of 2-hydroxyhippurate (salicylurate), salicylate, and salicyluric glucuronide (peak area) than non-users, but only mean peak area of salicyluric glucuronide increased by both dose (1-2 tabs per day=1,140,663.7, and ≥3 tabs per day=1,380,476.0) and frequency (days per week: 1 day=888,129.3, 2-3 days=1,199,897.9 and ≥4 days=1,654,637.0). Aspirin metabolites were not monotonically associated with VPD, DV, or NDV.
CONCLUSIONS CONCLUSIONS
Given the null results, additional research investigating the associations of aspirin metabolites in breast tissue and MBD is necessary.
IMPACT CONCLUSIONS
Elucidating the determinants of MBD, a strong risk factor for breast cancer, can play an important role in breast cancer prevention. Future studies should determine the associations of non-aspirin non-steroidal anti-inflammatory drug metabolites with MBD.

Identifiants

pubmed: 38700429
pii: 745182
doi: 10.1158/1055-9965.EPI-24-0017
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Ramkrishna Kumar Singh (RK)

Washington University in St. Louis School of Medicine, St. Louis, Missouri, United States.

Kayla R Getz (KR)

Washington University in St. Louis School of Medicine, St. Louis, Missouri, United States.

Joy K Kyeyune (JK)

University of Missouri, Columbia, Missouri, United States.

Myung Sik Jeon (MS)

Washington University in St. Louis, St Louis, Missouri, United States.

Chongliang Luo (C)

Washington University in St. Louis, St Louis, Missouri, United States.

Jingqin Luo (J)

Washington University in St. Louis School of Medicine, St. Louis, MO, United States.

Adetunji T Toriola (AT)

Washington University in St. Louis School of Medicine, St. Louis, MO, United States.

Classifications MeSH