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Supplementary Table 6 from Association of Fibroids, Endometriosis, and Gynecologic Surgeries with Breast Cancer Incidence and Hormone Receptor Subtypes

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posted on 2024-04-03, 07:21 authored by Jordan Zeldin, Dale P. Sandler, Kemi Ogunsina, Katie M. O'Brien

Association between fibroids and triple negative subtype among cases, stratified by race/ethnicity using logistic regression models

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National Institutes of Health (NIH)

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ARTICLE ABSTRACT

Fibroids and endometriosis are sex hormone–mediated and exhibit cancer-like behavior. Breast cancer may be more common in women who have had these conditions, but the literature is conflicting and does not always address factors like hysterectomy/oophorectomy status, race/ethnicity, menopause, and hormone receptor subtypes. Data are from the Sister Study, a cohort of 50,884 U.S. women enrolled in 2003 to 2009 and followed through 2020. Cox proportional hazards models with time-varying exposures and covariates assessed the relationship of fibroids or endometriosis with breast cancer. Logistic regression examined the association with estrogen receptor (ER) status among cases. Fibroids (19,932 cases) were positively associated with breast cancer [fully adjusted HR: 1.07; 95% confidence interval (CI): 1.01–1.14], notably among Black participants (HR: 1.34; 95% CI: 1.07–1.69) and women who had a hysterectomy (HR: 1.18; 95% CI: 1.05–1.31). Endometriosis (3,970 cases) was not associated with breast cancer (HR: 0.99; 95% CI: 0.91–1.08). Among 4,419 breast cancer cases, fibroids were positively associated with ER+ subtypes (OR: 1.34; 95% CI: 1.10–1.65), while endometriosis was negatively associated with ER+ subtypes (OR: 0.78; 95% CI: 0.61–1.01). We observed a modest positive association between fibroids and breast cancer, particularly ER+ breast cancer. No relationship with endometriosis and breast cancer incidence was found. Fibroids, even in those with a family history of breast cancer, might modify breast cancer risk stratification tools. Future studies should further assess this link and interrogate shared risk factors.

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    Cancer Epidemiology, Biomarkers & Prevention

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