Hormone receptor content is the most useful parameter for predicting hormone response therapy in breast cancer. The high frequency of primary and secondary resistance to treatment makes it necessary to find out other parameters in order to improve the prediction of response to treatment. The newly described estrogen receptor β (ERβ) is a potential candidate. Using real-time quantitative RT-PCR, we evaluated estrogen receptor α (ERα), ERβ, and progesterone receptors (PR) in comparison with ERα and PR protein content measured with the enzyme immunoassay (EIA), in a retrospective series of 98 breast tumors. We obtained a highly significant correlation between mRNA and EIA assays for ERα and PR ( r=0.79 and r=0.71, respectively; P<0.001). We confirmed the low level of ERβ mRNA transcripts in comparison to ERα in breast tumors. We did not find any statistically significant correlation between the absolute ERβ mRNA level and ERα or PR mRNA level, and ERα or PR-EIA. We found a significant correlation between ERα mRNA and PR mRNA expressions. We did not find any correlation between ERβ mRNA and clinical features of the patients (age, menopausal status, tumor size, and nodal status), nor with the histological type of the tumor. In conclusion, the accuracy of the present quantitative RT-PCR assay makes it suitable for a routine clinical use. In addition, the present results suggest that, ERβ mRNA expression is independent of the classical parameters.
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