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Quantitation of estradiol receptors alpha and beta and progesterone receptors in human breast tumors by real-time reverse transcription-polymerase chain reaction: Correlation with protein assays

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 d...

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Bibliographic Details
Published in:Biochemical pharmacology 2002-08, Vol.64 (3), p.507-515
Main Authors: Cremoux, Patricia de, Tran-Perennou, Carine, Elie, Caroline, Boudou, Evelyne, Barbaroux, Catherine, Poupon, Marie France, Rycke, Yann De, Asselain, Bernard, Magdelénat, Henri
Format: Article
Language:English
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Summary: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
ISSN:0006-2952
1873-2968
DOI:10.1016/S0006-2952(02)01187-5