Work

Estrogen Receptor-β Expression of Ovarian Tumors and Its Association with Ovarian Cancer Risk Factors

Year: 2020

Type: article

Abstract: Background: Differential associations between ovarian cancer risk factors and estrogen receptor-α (ERα) ovarian tumor expression have been noted; however, no research has assessed estrogen receptor-β (ERβ) expression. Thus, in exploratory analyses, we assessed the association of several factors with ovarian cancer risk by ERβ tumor status. Methods: We conducted a nested case–control study within the prospective Nurses' Health Study cohorts (NHS/NHSII), with exposures collected through biennial questionnaires. Paraffin-embedded tumor blocks were requested for cases diagnosed from 1976 to 2006 (NHS) and 1989 to 2005 (NHSII) and tissue microarrays were stained for nuclear ERβ (ERβ-nuc) and cytoplasmic ERβ (ERβ-cyto), with any staining considered positive (+). We obtained odds ratios (OR) and 95% confidence intervals (CI) using multivariate polytomous logistic regression. Results: We included 245 cases [43% ERβ-cyto (+) and 71% ERβ-nuc (+)] and 1,050 matched controls. An inverse association was observed between parity and risk of ERβ-nuc (+) (OR, parous vs. nulliparous: 0.46; 95% CI, 0.26–0.81), but not ERβ-nuc (–) tumors (OR, parous vs. nulliparous: 1.51; 95% CI, 0.45–5.04; Pheterogeneity = 0.04). Conversely, parity was inversely associated with ERβ-cyto (–) tumors (OR, parous vs. nulliparous: 0.42; 95% CI, 0.23–0.78), but was not associated with ERβ-cyto (+) tumors (OR, parous vs. nulliparous: 1.08; 95% CI, 0.45–2.63; Pheterogeneity = 0.05). Associations for other exposures, including hormone therapy, did not differ by ERβ-nuc or ERβ-cyto status. Conclusions: Our results suggest that parity may influence ovarian cancer risk, in part, through alterations in ERβ localization within tumor cells. Impact: Alterations in ERβ expression and localization appear to be important for ovarian cancer etiology. Future research should confirm our results and assess potential biologic mechanisms for the observed associations.

Source: Cancer Epidemiology Biomarkers & Prevention

DOI: 10.1158/1055-9965.epi-20-0618