Identification of CGA as a novel estrogen receptor-responsive gene in breast cancer: an outstanding candidate marker to predict the response to endocrine therapy.

The estrogen receptor (ER) status of breast tumors is used to identify patients who may respond to endocrine agents such as tamoxifen. However, ER status alone is not perfectly predictive, and there is a pressing need for more reliable markers of endocrine responsiveness. Here, we identified the well-known CGA gene (coding for the alpha subunit of glycoprotein hormones) as a new ERalpha-responsive gene in human breast cancer cells. We used a real-time quantitative reverse transcription-PCR assay to quantify CGA mRNA copy numbers in a large series of breast tumors. CGA overexpression (> 10 SD above the mean for normal breast tissues) was observed in 44 of 131 (33.6%) breast tumor RNAs, ranging from 20 to 16,500 times the level in normal breast tissues; the highest levels of CGA gene expression were close to those observed in placenta. Significant links were observed between CGA gene overexpression and Scarff-Bloom-Richardson histopathological grade I+II (P = 0.015), and progesterone (P = 0.0009) and estrogen (P < 10(-7)) receptor positivity, which suggested that CGA is a marker of low tumor aggressiveness. We observed CGA mRNA overexpression in 44 of 90 (48.9%) ERalpha-positive tumors and in none of the 41 ERalpha-negative tumors. Immunohistochemical studies demonstrated that human chorionic gonadotropin alpha protein was strictly limited to ERalpha-positive tumor cells. Overexpression of the CGA gene was not accompanied by overexpression of the CGB gene. Our results also suggest that CGA could be a more reliable marker than PS2 and PR for ERalpha functionality and, thus, for endocrine responsiveness. Moreover, the CGA marker has the added value of dichotomizing ERalpha-positive patients into two subgroups of similar size. Specific antibodies directed to secreted human chorionic gonadotropin alpha protein are commercially available, thus facilitating the future application of this marker to the clinical management of breast cancer.