The estrogen receptor plays a critical role in the pathogenesis and clinical behavior of breast cancer. To better understand the molecular basis of estrogen-dependent forms of this disease we studied gene expression profiles from 53 primary breast cancer biopsies. Gene expression data for more than 7000 genes were generated from each tumor sample with oligo microarrays. A standard correlation-clustering algorithm identified 18 genes that co-clustered with estrogen receptor alpha. Eleven of these genes had previously been associated with estrogen regulation or breast tumorigenesis including trefoil factor 1 and estrogen regulated LIV-1. Additional study of these 18 genes may further delineate the role of estrogen receptor in breast cancer, generate new predictive biomarkers for response to endocrine therapies and identify novel therapeutic targets. The Pharmacogenomics Journal (
BACKGROUNDThe estrogen receptor is a ligand-activated transcription factor containing hormone binding, DNA binding and transcription activation domains. 1 It is expressed in normal breast and 50-80% of breast cancers, depending on the assay used. 2-4 Estrogen receptor (ER) is a favorable prognostic factor and ER positive malignancies have a lower risk of relapse and a better overall survival. 5 However, ESR1 analysis is most useful in predicting response to endocrine therapies, although approximately half of all ER-positive cancers do not respond to antiestrogens or estrogen deprivation therapies. 6 The molecular basis for ESR1-positive, endocrine therapy-resistant disease is not well understood. Somatic mutations in ESR1 are rare, even in breast cancers that have acquired resistances to endocrine therapies. This finding has focused attention on other mechanisms, including the overexpression of tyrosone-kinase linked growth factor receptors, transcriptional coactivators such as AIB1 (amplified in breast cancer 1) or cell cycle regulators including Cyclin D1. Additional possibilities include mutations in other genes involved in the regulation of estrogen-dependent growth.Expression of the estrogen-regulated genes, progesterone receptor (PGR) and trefoil factor 1 (TFF1 or PS2) indicate the presence of a functional and activated ER. 7 Both of these proteins are predictive biomarkers for breast cancer endocrine therapy, although less valuable than ER in distinguishing estrogen-dependent from estrogen-independent breast cancer. The use of PGR improves upon the predictive value of ER alone, yet ෂ 40% of tumors that express both ER and PGR fail to respond to endocrine treatments in the metastatic setting. 8 Similarly, TFF1 is associated with a good prognosis and predicts a positive response to hormonal therapy, but it has not proved to be sufficient as a predictive biomarker for routine evaluation of breast cancer. 9 Thus, PGR and TFF1 may be modestly useful