Estrogen receptor expression in benign breast epithelium and breast cancer risk
- PMID: 9428781
- DOI: 10.1093/jnci/90.1.37
Estrogen receptor expression in benign breast epithelium and breast cancer risk
Abstract
Background: Estrogen exposure is a major risk factor for breast cancer. Increased estrogen responsiveness of breast epithelium may enhance this effect. We examined the relationship between breast cancer diagnosis and 1) the presence and absence of estrogen receptor expression in benign breast epithelium, 2) the level of expression and 3) its variation during the menstrual cycle, and 4) other established risk factors. e.g., age, age at menarche, parity, and family history.
Methods: We measured estrogen receptor expression (as % of positive cells) by immunohistochemistry in normal breast epithelium from 376 women undergoing diagnostic or therapeutic breast surgery. Data on established risk factors were collected prior to surgery and those on menstrual cycle dates at the time of surgery. Logistic regression was used to assess risks (odds ratios [ORs]).
Results: The crude OR for breast cancer in women with estrogen receptor-positive breast epithelium versus those without was 3.16 (95% confidence interval [CI] = 1.89-5.28), with an OR of 2.49 (95% CI = 1.25-4.96) for premenopausal and an OR of 3.32 (95% CI = 1.43-7.68) for postmenopausal women. The ORs remained high and statistically significant after controlling for age and other breast cancer risk factors. The level of estrogen receptor expression was higher in patients with breast cancer than in control subjects and it was related to breast cancer risk in postmenopausal women (P trend <.005). Expression declined as expected in premenopausal control subjects as the menstrual cycle progressed but rose in breast cancer patients (P trend <.015).
Conclusions: The overexpression of estrogen receptors in normal breast epithelium may augment estrogen sensitivity and hence the risk of breast cancer.
Comment in
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Does estrogen receptor expression in normal breast tissue predict breast cancer risk?J Natl Cancer Inst. 1998 Jan 7;90(1):5-7. doi: 10.1093/jnci/90.1.5. J Natl Cancer Inst. 1998. PMID: 9428773 No abstract available.
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