Abstract
Assessment of estrogen receptor expression by immunohistochemistry has yielded inconsistent results as a prognostic indicator in ovarian carcinoma. In breast and endometrial carcinomas, panels of estrogen-induced genes have shown improved prognostic capability over the use of estrogen receptor immunohistochemistry alone. For both breast and endometrial cancer, over-expression of estrogen-induced genes is associated with better prognosis. We hypothesized that analysis of a panel of estrogen-induced genes can predict outcome in ovarian carcinoma and potentially differentiate between tumors of varying hormonal responsiveness. From a cohort of 219 women undergoing ovarian cancer surgery from 2004 −2007, 83 patients were selected for inclusion. All patients had advanced stage ovarian/primary peritoneal high-grade serous carcinoma and underwent primary surgical debulking followed by adjuvant treatment with platinum and taxane agents. The expression of
ER
α and six genes known to be induced by estrogen in the female reproductive tract (
EIG121, sFRP1, sFRP4, RALDH2, PR, IGF-1
) was measured using qRT-PCR. Unsupervised cluster analyses were used to categorize patients as high or low gene expressors. Gene expression results were then compared to those for estrogen receptor immunohistochemistry. Clusters were compared using chi-square analyses, and Cox proportional hazards were used to evaluate survival outcomes. Median follow-up time was 38.7 months (range 1–68). A cluster defined by
EIG121
and
ER
α segregated tumors into distinct groups of high and low gene expressors. Shorter overall survival was associated with high gene expression (HR 2.84 [1.11–7.30], p=0.03), even after adjustment for other covariates. No difference in estrogen receptor immunohistochemistry expression was noted between gene clusters. In contrast to other hormonally-driven cancers, high expression of
ER
α and the estrogen-induced gene
EIG121
predicts shorter overall survival in patients with high-grade serous ovarian carcinoma. Such a biomarker panel may potentially be used to guide management with estrogen antagonists in this patient population.
