Relationship between epidemiologic risk factors and hormone receptor expression in ovarian cancer: results from the Nurses' Health Study.
Relationship between epidemiologic risk factors and hormone receptor expression in ovarian cancer: results from the Nurses' Health Study.
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DOI：
10.1158/1055-9965.epi-08-1214
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发表时间：
2009-05
期刊：
影响因子：
--
通讯作者：
Tworoger SS
中科院分区：
文献类型：
--
作者：
Hecht JL;Kotsopoulos J;Hankinson SE;Tworoger SS
Hormone receptor expression in tumors may offer etiologic information for ovarian cancer, particularly in light of known associations with hormonal and reproductive risk factors. Tissue microarrays constructed from 157 paraffin-embedded blocks of epithelial ovarian tumors collected from participants in the Nurses' Health Study were stained for estrogen receptor-alpha (ERα) and progesterone receptor (PR). We examined receptor expression by invasion, grade, and histologic subtype. Multivariate unconditional logistic regression was used to evaluate whether hormonal, reproductive and anthropometric risk factors were differentially associated with the risk of developing receptor-positive or receptor-negative ovarian tumors compared to controls. PR expressing tumors were less likely to be invasive (P=0.05) and more likely to be of a lower grade (P<0.001) and stage (P=0.007) compared with PR- tumors. ERα status was not associated with any pathological features of the tumor (P >0.34). Increasing age, being postmenopausal, and postmenopausal hormone use were associated with an increased risk of developing ERα+, but not ERα− (P-heterogeneity=0.001, 0.06, and 0.06, respectively) and PR−, but not PR+, tumors (P-heterogeneity=0.08, 0.003, and 0.40, respectively), while height was only associated with the risk of developing PR− disease (P-heterogeneity = 0.08). There were no clear risk differentials with OC use, parity, BMI, or physical activity. Reproductive and hormonal risk factors are associated with subgroups of ovarian cancer defined by histologic subtype or ERα and PR status. These finding support specific models of hormone mediated triggers of ovarian cancer.
