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The purpose of this study was to classify selective oestrogen receptor modulators based on gene expression profiles produced in breast cancer cells expressing either wtERalpha or mutant(351)ERalpha. In total, 54 microarray experiments were carried out by using a commercially available Atlas cDNA Expression Arrays (Clontech), containing 588 cancer-related genes. Nine sets of data were generated for each cell line following 24 h of treatment: expression data were obtained for cells treated with vehicle EtOH (Control); with 10(-9) or 10(-8) M oestradiol; with 10(-6) M 4-hydroxytamoxifen; with 10(-6) M raloxifene; with 10(-6) M idoxifene, with 10(-6) M EM 652, with 10(-6) M GW 7604; with 5 x 10(-5) M resveratrol and with 10(-6) M ICI 182,780. We developed a new algorithm 'Expression Signatures' to classify compounds on the basis of differential gene expression profiles. We created dendrograms for each cell line, in which branches represent relationships between compounds. Additionally, clustering analysis was performed using different subsets of genes to assess the robustness of the analysis. In general, only small differences between gene expression profiles treated with compounds were observed with correlation coefficients ranged from 0.83 to 0.98. This observation may be explained by the use of the same cell context for treatments with compounds that essentially belong to the same class of drugs with oestrogen receptors related mechanisms. The most surprising observation was that ICI 182,780 clustered together with oestrodiol and raloxifene for cells expressing wtERalpha and clustered together with EM 652 for cells expressing mutant(351)ERalpha. These data provide a rationale for a more precise and elaborate study in which custom made oligonucleotide arrays can be used with comprehensive sets of genes known to have consensus and putative oestrogen response elements in their promoter regions.

Selective Estrogen Receptor Modulators (SERMs) are a new class of drugsthat bind to estrogen receptor (ER) and elicit agonistic or antagonistic responses, depending on the target tissue. We have developed an in vitro system in which some SERMs (4-hydroxytamoxifen and resveratrol) demonstrate estrogenic response through wild-type (wt) ER, whereas others (raloxifene and GW7604) remain antiestrogenic. This system mimics the tamoxifen-resistant phenotype in clinic, when resistant tumors contain wtER. We used Atlas cDNA arrays to study gene expression profiles after ER activation by different SERMs in MDA-MB-231 human breast cancer cells stably transfected with wtER. Cells were treated with estradiol, four different SERMs, and the pure antiestrogen ICI 182,780. The obtained expression data were analyzed using GeneSpring software. Real-time reverse transcription-PCR was used to verify the array data. Our results showed that treatment with various compounds altered the expression of a diverse group of genes, revealing sets of overlapping genes that may represent a complex network of genes of interrelated signal transduction pathways. Sets of "agonistic" and "antagonistic" genes were identified on the basis of the known response to different SERMs. Further analysis of selected sets of genes revealed functionally related group of genes in each set, encoding proteins that were related to cell proliferation, survival, and apoptosis. Flow cytometry data indicated an antiapoptotic activity in cells treated with agonists versus apoptotic activity in cells treated with antagonists. A model for estradiol-like (survival) and antiestrogen-like (apoptosis) activities of SERMs on the basis of their gene expression profiles is suggested.

We have shown that 4-hydroxytamoxifen (4-OHT) has estrogen-like effects on induction of TGFalpha mRNA in estrogen receptor (ER)-negative MDA-MB-231 human breast cancer cells, transfected with either wildtype (S30 cells) or a codon 351asp-->tyr mutant ER (BC-2 cells). The mutant receptor used to produce the stable transfectants was identified in a tamoxifen-stimulated human breast tumor. We have also demonstrated that raloxifene exhibits a gene-specific estrogen-like effect with mutant ER (BC-2 cells) but not with wildtype ER (S30 cells) (Levenson, A.S., Catherino, W.H. and Jordan, V.C. (1997) Estrogenic activity is increased for an antiestrogen by a natural mutation of the estrogen receptor. J. Steroid Biochem. Mol. Biol., 60, 261-268). We now describe the regulation of urokinase plasminogen activator (uPA) and plasminogen activator inhibitor type 1 (PAI-1) endogenous gene expression by estradiol (E2) and different antiestrogens in BC-2 cells. Northern blot analyses revealed that 4-OHT and raloxifene have concentration-dependent agonistic (E2-like) effects on the regulation of these genes. In contrast, the pure antiestrogen ICI 182780 alone had no effect but could block the action of E2, 4-OHT and raloxifene. The E2-like effects of non-steroidal antiestrogens in this model system cannot be explained by the mutation in the ER alone because 4-OHT acts as an agonist with wildtype receptor as well. We propose that the clear cut biological expression of estrogen-like qualities with different antiestrogens will in the future serve as an important model to dissect the signal transduction pathway.