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Endocrinology |
1 Department of Molecular and Integrative Physiology, University of Illinois and College of Medicine, Urbana, Illinois, and 2 Womens Health Research Institute, Wyeth Research, Collegeville, Pennsylvania
| ABSTRACT |
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12,000 genes, using Affymetrix GeneChip microarrays, with quantitative PCR verification in many cases, categorizing their actions as agonist, antagonist, or partial agonist/antagonist. Analysis of gene stimulation and inhibition by the SERMs trans-hydroxytamoxifen (TOT) and raloxifene (Ral) or ICI 182,780 (ICI) and by estradiol (E2) in estrogen receptor-containing MCF-7 human breast cancer cells revealed that (a) TOT was the most E2-like of the three compounds, (b) all three compounds either partially or fully antagonized the action of E2 on most genes, with the order of antagonist activity being ICI > Ral > TOT, (c) TOT and Ral, but not ICI, displayed partial agonist/partial antagonist activity on a number of E2-regulated genes, (d) several stimulatory cell cycle-related genes were down-regulated exclusively by ICI, (e) the estrogen-like activity of Ral nearly always overlapped with that of TOT, indicating that Ral has little unique agonist activity different from that of TOT, and (f) some genes were specifically up-regulated by TOT but not Ral, ICI, or E2. Hence, gene expression profiling can discern fundamental differences among SERMs and provides insight into the distinct biologies of TOT, Ral, and ICI in breast cancer. | INTRODUCTION |
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The beneficial effects of SERMs on breast cancer were originally attributed to their ability to antagonize the actions of endogenous estrogens by competition for ER binding. More recently, X-ray structural work has demonstrated that when different ER ligands such as estradiol (E2), tamoxifen, Ral, and the antiestrogen ICI 182,780 (ICI) interact with the ligand binding domain of the receptor, distinctly different conformations of the receptor are induced (12, 13, 14, 15) . In addition, introduction of different mutations into the ER ligand binding domain demonstrated that the chemical nature of different ligands can determine which residues of the ligand binding domain can make contact with the ligand, additionally supporting the idea that ligands induce different conformations of the ER (3 , 16 , 17) . It has been suggested that as a result of these different ligand-induced conformations, the ER can thereby recruit different coregulator proteins to target gene promoters and differentially mediate gene transcription (18) . Although ER agonists like E2 recruit transcriptional coactivators such as those of the p160 family that can enhance gene transcription, SERMs and ICI generally do not appear to recruit coactivators; rather, they promote the recruitment of corepressors such as NCoR and SMRT that can actively suppress transcription of E2 target genes, thereby additionally antagonizing the action of estrogens (19, 20, 21, 22) .
SERMs, however, do not always act as ER antagonists, and they can often display estrogen-like agonist activity or mixed agonist/antagonist activity. The mechanisms for these mixed effects of SERMs depend on several factors, including the differing chemical nature of the ligand, the cell background, and the context of the gene promoter (23 , 24) . For example, tamoxifen has been shown to act either as a partial or full agonist on different DNA regulatory elements such as particular estrogen response elements, Sp1 sites, or activator protein 1 sites (25, 26, 27, 28, 29) . Several lines of evidence also indicate that SERM agonist activity depends on different regions of the receptor than does E2 for its agonist activity. In particular, the NH2-terminal transactivation domain activation function-1 is important for tamoxifen agonist activity, whereas the synergistic action of both activation function-1 and activation function-2 is important for estrogen-induced activity (30, 31, 32, 33) . It is also clear that tamoxifen and E2 use different regions of activation function-1, as was demonstrated with receptor mutations and different peptides that could antagonize either E2 or tamoxifen agonism (32 , 34 , 35) . The agonist activity of SERMs at particular genes may be accompanied by the recruitment of the same (24) or distinct (36) coactivators to the ER as are recruited by E2. It has also been suggested that the availability of coregulators can determine whether tamoxifen will act as an agonist or antagonist. For example, in mouse embryonic fibroblast cells from an NCoR knockout model, tamoxifen displayed agonist activity through the ER, whereas it showed antagonist activity in wild-type mouse embryonic fibroblast cells (37) . Also, in MCF-7 cells overexpressing SRC-1, tamoxifen but not Ral acted as an agonist on particular genes (24) .
Although tamoxifen and Ral prevent E2-induced proliferation of breast cancer cells and are assumed to antagonize many of the actions of estrogens, it is not known globally which genes and gene networks in the cell are altered by SERMs, on which genes SERMs antagonize E2 regulation fully or only partially, and on which genes SERMs exert significant E2-like agonist effects in breast cancer cells. It is also not known to what extent the SERMs or ICI can regulate the expression of genes independently from E2 action, as we observed previously for quinone reductase (38) . Furthermore, in contrast to tamoxifen and Ral, the antiestrogen ICI is thought to act as a pure antagonist through the ER, although its effects on gene expression have not been fully explored (39) .
With the advent of microarray technology, the effects of SERMs on gene expression can be compared on a very large number of genes without any prior selection bias. In fact, gene expression profiling in breast cancer using microarrays has been carried out in a number of studies investigating genes overexpressed in breast cancer (40) or genes associated with clinical outcome or prognosis (41, 42, 43) , response to chemotherapy (44) , tumor aggressiveness (45) , or classification of primary tumors (46, 47, 48, 49) . Several studies have also investigated gene expression patterns associated with the ER status of breast cancers (50, 51, 52, 53, 54) . Although there have been several microarray studies examining the actions of SERMs (55, 56, 57, 58) , these have not directly compared the SERMs tamoxifen and Ral and ICI and their agonistic and/or antagonistic actions on a large set of estrogen-regulated genes. Therefore, in an effort to examine the effects of these three compounds on E2-regulated gene expression in ER-positive breast cancer cells, we carried out gene expression profiling using oligonucleotide microarrays. Our findings indicate that although the regulation of the majority of E2-regulated genes is either partially or fully reversed by the SERMs and by ICI, distinct differences can be observed among these ligands in their balance of agonist, partial antagonist, or full antagonist activities on the spectrum of E2-regulated genes. In addition, a unique subset of genes, encoding proteins that may have beneficial effects, was found to be regulated by the SERMs and/or ICI but not by E2.
| MATERIALS AND METHODS |
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GeneChip Microarrays.
Total RNA was used to generate cRNA, which was labeled with biotin according to techniques recommended by Affymetrix (Santa Clara, CA). cRNA was then hybridized to Affymetrix Hu95A GeneChips, which contain oligonucleotide probe sets for
12,000 human genes. After washing, the chips were scanned and analyzed using MicroArray Suite 5.0 software (Affymetrix). Average intensities for each GeneChip were globally scaled to a target intensity of 150. Additional analysis was performed using GeneSpring software V5.0.1 (Silicon Genetics, Redwood City, CA) to obtain fold-change and Ps for each gene for each treatment relative to the vehicle control. The entire microarray data set will be available through the Gene Expression Omnibus accession no. GSE848.3
To identify genes significantly regulated by E2, gene lists were created in GeneSpring using a fold-change cutoff of 2.5 for up-regulated genes and 0.4 for down-regulated genes (i.e., 2.5-fold down-regulation). We then compared this list to one we generated recently using a confidence scoring method in detailed E2 time course gene expression microarray profiling experiments also in MCF-7 cells (59) . Only genes that were regulated in both studies were used because this set represents genes that are reproducibly and robustly regulated by E2. The SERMs (TOT and Ral) and ICI were then analyzed for their agonist or antagonist activity on this set of E2-regulated genes.
To identify unique genes, i.e., genes that are regulated only by SERMs or ICI but not by E2, we used the following criteria: (a) a fold change for up-regulated genes of
2.0 for the SERMs or ICI but <1.3 for E2; (b) a fold change for down-regulated genes of
0.5 for the SERMs or ICI but >0.78 for E2; (c) P of <0.1; (d) present calls with SERM or ICI treatment; and (e) a raw expression level of >20. These cutoffs enable the identification of robust changes in gene expression, as documented in previously published microarray work of our lab and others (59
, 60)
.
Real-Time PCR.
Real-time PCR was carried out to verify regulation of gene expression by E2, SERMs, or ICI. One µg of total RNA was reverse transcribed in a total volume of 20 µl using 200 units of reverse transcriptase, 50 pmol random hexamer, and 1 mM deoxynucleotide triphosphates (New England Biolabs, Beverly, MA). The resulting cDNA was then diluted to a volume of 100 µl with sterile water. Each real-time PCR reaction consisted of 1 µl of diluted reverse transcription product, 1x SYBR Green PCR Master Mix (Applied Biosystems, Foster City, CA), and 50 nM forward and reverse primer. Reactions were carried out in an ABI Prism 7700 Sequence Detection System (Applied Biosystems) for 40 cycles (95°C for 15 s and 60°C for 1 min) after an initial 10 min incubation at 95°C. For the genes, the regulation of which is described in detail in this article, the primers used for real-time PCR are listed in Table 1
. The fold change in expression of each gene was calculated using the 
Ct (threshold cycle) method, with the ribosomal protein 36B4 mRNA as an internal control (61)
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| RESULTS |
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35% of E2 activity), partial agonistic activity (if the compound alone evoked activity > 35% but
70% of E2 activity), or full agonistic activity (if the compound evoked >70% of E2 activity). As expected, on those genes where SERMs displayed full agonistic activity, no antagonism of E2 action by the SERM was observed. Also, on those genes where SERMs displayed partial agonistic activity, the SERM generally acted as a partial antagonist, reducing E2 activity to the level seen with the SERM alone (see below). On those genes where the compound alone displayed no E2-like agonistic activity, we defined the compound as a full antagonist if the effect of E2 could be reversed by the compound by
50% or as a partial antagonist if the compound reversed the E2 effect by 3050%. If reversal of E2 activity by the compound was <30%, we considered this to be no antagonism. In every case where the compound had no agonist activity, we found that it acted as either a full or partial antagonist of E2 action.
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Both Ral and TOT displayed partial agonist/antagonist activity on a larger proportion of the genes than did ICI, with this being 25% for Ral and 30% for TOT on E2 up-regulated genes. On E2 down-regulated genes, Ral and TOT displayed more partial agonist/antagonist activity, with Ral showing partial agonist/antagonist activity on 63% of the genes and TOT displaying partial agonist/antagonist activity on 43% of these genes. Only TOT acted as a full agonist on a substantial percentage of genes, 23% of the E2 up-regulated genes, and 31% of the E2 down-regulated genes. In contrast, both Ral and ICI had full agonist activity on
8% of E2 up- or down-regulated genes.
We next examined whether TOT, Ral, or ICI were acting as agonists, partial agonist/antagonists, or antagonists on the same genes, or whether each of the compounds was regulating expression of different subsets of E2-regulated genes. To address this question, we compared the activities of ICI, Ral, and TOT on each gene and identified four major combinations of activities. As shown in Fig. 3
, all three compounds (white area) acted as antagonists of E2 action (i.e., reversed partially or fully the stimulation or the suppression of gene expression by E2) on 47% of the genes up-regulated by E2 and on 20% of the genes down-regulated by E2. These genes, on which all of the compounds acted as antagonists of E2 action, are given in Table 2
. On 25% of E2 up-regulated genes and 54% of E2 down-regulated genes, only ICI antagonized E2 action (stippled area, Fig. 3
), whereas TOT and Ral acted as either full or partial agonists on these genes (Table 3)
. On 23% of E2 up-regulated genes and 16% of E2 down-regulated genes (black area, Fig. 3
), both ICI and Ral acted as antagonists, whereas only TOT acted as a partial or full agonist (Table 4)
. On only a small percentage of genes (5% of up-regulated and 10% of down-regulated, striped area, Fig. 3
), all three compounds acted as either full or partial agonists (Table 5)
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Unique Gene Expression Regulation by SERMs and ICI but not E2.
Using the technique described in "Materials and Methods," we identified 24 genes that were up-regulated and 51 genes that were down-regulated by the SERMs or ICI that were not significantly regulated in the same manner by E2. Gene cluster analysis was performed for these genes to identify any major patterns of regulation, and the results are shown in Fig. 6
. Cluster A demonstrates up-regulated genes that appear to be stimulated to a greater extent by the three compounds than by E2. In contrast, cluster B demonstrates that most of the down-regulated genes were down-regulated specifically by ICI, with only a few being down-regulated by Ral or TOT but not E2. Also, a set of genes that is up-regulated specifically by TOT but not by E2, Ral, or ICI is shown in cluster C. The identity of these SERM- and ICI-regulated genes and their fold change in gene expression in response to these ligands are given in Table 6
. Immediate early response 3, also called IEX-1, represents an additional gene found to be highly and specifically induced by TOT but not Ral or ICI, but it is also significantly down-regulated by E2 (Table 2)
. Real-time PCR was performed to verify regulation by the SERMs or ICI. Rab30 is an example of a gene stimulated by TOT but not by E2, Ral, or ICI (Fig. 7A)
. Additional studies demonstrated that regulation of Rab30 by TOT is mediated by the ER because 100-fold excess of E2 could reverse the effect of TOT (Fig. 7B)
. The genes cyclin A2 and cdc2 have their expression markedly down-regulated by ICI only and this is reversed by E2 (Fig. 7, C and D)
. Interestingly, these two genes and the majority of genes down-regulated by ICI (Table 6)
are associated with the control of cell cycle progression.
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| DISCUSSION |
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SERMs and ICI as Antagonists of Estrogen Action through the ER.
As might be expected, ICI, the pure antiestrogen, antagonized E2 action on >95% of E2-regulated genes. Similarly, Ral acted as an antagonist on >90% of E2 regulated genes, whereas TOT antagonized E2 action on fewer genes (
70%). Despite the anticipated nature of these results, two interesting points can be made. First, on all genes where the SERMs and ICI did not have any partial or full agonist activity, they always antagonized E2 action to some extent, and second, very little of the antagonism by ICI was accompanied by partial agonism, but for Ral and TOT, partial agonist/antagonist activity was more frequent.
Also of note is the functional nature of the genes on which all of the SERMs acted as antagonists (Table 2)
. As we have previously demonstrated, E2 up-regulates a number of genes that would have stimulatory effects on cell proliferation such as cell cycle-associated genes, growth factors, and transcription factors, as well as down-regulating numerous genes that would inhibit cell proliferation (59)
. On the basis of the results reported here in this study, it is apparent that many of the genes on which the SERMs act as antagonists could affect cell proliferation. For example, all three of the compounds antagonized the E2 up-regulation of the transcription factor c-fos, the DNA synthesis regulator CDC6, and the growth stimulatory growth factors amphiregulin and chemokine ligand 12, the last of which is also known as SDF-1 and has previously been shown to be antagonized by ICI (62)
. Similarly, all three compounds antagonized the E2 down-regulation of growth inhibitory factors such as transforming growth factor ß2, inhibin ßB, and IEX-1, the last of which is also known as IER3 and has been shown to inhibit breast cancer cell growth (63)
. These findings suggest that although the SERMs show agonist activity on some E2-regulated genes in MCF-7 cells (as discussed below), their ability to block the E2 stimulation of cell proliferation suggests that the genes they antagonize are those that are essential for the stimulatory effect of E2 on cell proliferation.
Agonist Activities of SERMs and ICI.
Although ICI activity was almost always antagonistic to E2 action, TOT and Ral displayed a fairly high degree of partial agonist/antagonist activity, whereas only TOT displayed any substantial full agonist activity, indicating that these ligands have very different natures. On the other hand, any agonistic activity seen with Ral nearly always overlapped with that of TOT, which suggests that the agonist activity of Ral may be through a similar mechanism as TOT.
Perhaps one of the more interesting findings revealed by this study is that TOT had full agonist activity on a number of genes on which Ral displayed only partial or no agonist activity, as was the case with phospholipase C-like 2 and Rab31 (Fig. 4)
. These findings suggest that these ligands have different activities at different target gene sites because of their abilities to induce different conformations in the receptor (12, 13, 14, 15
, 23)
. The functional significance of these differences is not currently known but is under investigation.
Unique Patterns of Gene Regulation by the SERMs.
In addition to the agonist/antagonist activities of the SERMs and ICI on E2-regulated genes, several genes were identified that were specifically regulated by the SERMs or ICI but were not significantly regulated by E2. Very few genes showing this unique "reverse pharmacology" have previously been identified. However, quinone reductase, an important suppressor of DNA damage in breast cancer cells, was previously identified by this laboratory as an antiestrogen induced gene (38
, 64)
. In the current study, one potentially important gene displaying a similar reverse pharmacology is retinoblastoma 1 coiled coil protein, which was significantly up-regulated by all of the SERMs but not by E2 (Table 6)
. This gene has been proposed to act as a tumor suppressor by its ability to up-regulate retinoblastoma 1 levels, and it could provide an additional beneficial effect of SERMs on breast cancer cells (65
, 66)
. Although the mechanism of SERM-regulated expression of retinoblastoma 1 coiled coil protein is not known, recent evidence suggests that one mechanism by which SERMs can regulate gene expression independently from E2 action could be through a squelching mechanism, whereby SERM interaction with ER leads to the recruitment of corepressors to the ER and away from genes that are under some basal level repression (67)
.
In addition to genes up-regulated by all of the SERMs, several genes were identified in this study as being specifically up-regulated by TOT but not E2, Ral, or ICI. This included Rab30, a small GTPase, the enzyme 5
-reductase type I, which converts testosterone to dihydrotestosterone, tropomyosin 1, which is a cytoskeletal protein (Table 6)
, and IER3/IEX-1 (Table 2)
. All of these genes appear to be regulated through the ER because excess E2 or ICI can block up-regulation of these genes (Fig. 7
and data not shown). This finding additionally supports the idea that TOT is capable of inducing a different and unique receptor activity, most likely through a different receptor conformation, from that of the other ligands (23)
.
It is of interest that several of these genes have potential tumor suppressor or antiproliferative activities in breast cancer cells and could contribute to the beneficial effects of TOT in breast cancer. For example, the up-regulation of 5
-reductase could potentially reduce local E2 levels in vivo through the conversion of androgens to more potent, nonaromatizable androgens rather than to estrogens. Furthermore, 5
-reductase expression has been detected in breast cancer cells and is inversely correlated with proliferation markers such as Ki67 (68)
. There is also evidence that dihydrotestosterone decreases breast cancer cell proliferation (69
, 70)
. Both tropomyosin and IEX-1, which are up-regulated by TOT, have been shown to inhibit proliferation of breast cancer cells, although the mechanisms for these antiproliferative effects are not known (63
, 71)
. These findings suggest that TOT, in addition to antagonizing estrogen action through the ER at certain genes, may have additional beneficial effects through its ability to up-regulate other specific target genes.
Unique and specific gene regulation was also seen with ICI, but in contrast to TOT, these genes were specifically down-regulated by ICI but not Ral or TOT, and this down-regulation was reversed by E2. The majority of these genes appear to be regulators of the cell cycle, cell proliferation, and DNA synthesis. This is supportive of observations that ICI very effectively arrests the proliferation of breast cancer cells in the G0 phase of the cell cycle (72)
. Therefore, by down-regulating the expression of these genes, ICI may have an additional beneficial effect over the other SERMs. Several of these genes are known to actually be up-regulated by E2; however, as we have shown previously, E2 stimulation of these genes occurs at late time points only and may be secondary responses to E2 (59)
. Two potential upstream transcriptional regulators of these genes are c-Myc and E2F1, which are also down-regulated by ICI (Table 6)
. One mechanism that might explain the down-regulation of these genes by ICI is that ICI can increase turnover and decrease ER protein levels in breast cancer cells, thereby suppressing any potential ligand-independent activity of the receptor in these cells (73)
. Thus, ICI may be suppressing growth factor activity through the ER, which has been previously demonstrated for epidermal growth factor and insulin-like growth factor I actions in both breast cancer and uterine cells (74, 75, 76, 77)
.
Here, we demonstrate that the major actions of the SERMs tamoxifen and Ral and of the antiestrogen ICI are largely antagonistic of E2 action. Because E2 regulates a large number of genes in several different pathways that promote cell proliferation, decrease apoptosis, and regulate other activities in these breast cancer cells (59) , these antagonistic, tumor-suppressive actions of SERMs should be very desirable. Despite these common antagonistic actions, clearly distinct patterns of gene regulation were observed by microarray profiling for each of these three ligands, indicating that conformational differences in these ER-ligand complexes translate into different pharmacological phenotypes. Some of the genes that are regulated uniquely by the SERMs or ICI might also be contributing to the beneficial and somewhat different effects of these compounds when they are used as endocrine therapies for breast cancer.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Requests for reprints: Dr. Benita S. Katzenellenbogen, University of Illinois, Department of Molecular and Integrative Physiology, 524 Burrill Hall, 407 South Goodwin Avenue, Urbana, IL 61801-3704. Phone: (217) 333-9769; Fax: (217) 244-9906; E-mail: katzenel{at}life.uiuc.edu
3 Internet address: http://www.ncbi.nlm.nih.gov/geo. ![]()
Received 10/22/03. Revised 12/ 3/03. Accepted 12/ 9/03.
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J. R. Schultz-Norton, V. A. Gabisi, Y. S. Ziegler, I. X. McLeod, J. R. Yates, and A. M. Nardulli Interaction of estrogen receptor {alpha} with proliferating cell nuclear antigen Nucleic Acids Res., August 1, 2007; 35(15): 5028 - 5038. [Abstract] [Full Text] [PDF] |
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N. Heldring, A. Pike, S. Andersson, J. Matthews, G. Cheng, J. Hartman, M. Tujague, A. Strom, E. Treuter, M. Warner, et al. Estrogen Receptors: How Do They Signal and What Are Their Targets Physiol Rev, July 1, 2007; 87(3): 905 - 931. [Abstract] [Full Text] [PDF] |
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J. R. Schultz-Norton, K. A. Walt, Y. S. Ziegler, I. X. McLeod, J. R. Yates, L. T. Raetzman, and A. M. Nardulli The Deoxyribonucleic Acid Repair Protein Flap Endonuclease-1 Modulates Estrogen-Responsive Gene Expression Mol. Endocrinol., July 1, 2007; 21(7): 1569 - 1580. [Abstract] [Full Text] [PDF] |
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S. M Johnson, M. Maleki-Dizaji, J. A Styles, and I. N H White Ishikawa cells exhibit differential gene expression profiles in response to oestradiol or 4-hydroxytamoxifen Endocr. Relat. Cancer, June 1, 2007; 14(2): 337 - 350. [Abstract] [Full Text] [PDF] |
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K.-C. Leung, J. Brce, N. Doyle, H. J. Lee, G. M. Leong, K. Sjogren, and K. K. Y. Ho Regulation of Growth Hormone Signaling by Selective Estrogen Receptor Modulators Occurs through Suppression of Protein Tyrosine Phosphatases Endocrinology, May 1, 2007; 148(5): 2417 - 2423. [Abstract] [Full Text] [PDF] |
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F. Andre, C. Hatzis, K. Anderson, C. Sotiriou, C. Mazouni, J. Mejia, B. Wang, G. N. Hortobagyi, W. F. Symmans, and L. Pusztai Microtubule-Associated Protein-tau is a Bifunctional Predictor of Endocrine Sensitivity and Chemotherapy Resistance in Estrogen Receptor-Positive Breast Cancer Clin. Cancer Res., April 1, 2007; 13(7): 2061 - 2067. [Abstract] [Full Text] [PDF] |
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M. Fan, P. S. Yan, C. Hartman-Frey, L. Chen, H. Paik, S. L. Oyer, J. D. Salisbury, A. S.L. Cheng, L. Li, P. H. Abbosh, et al. Diverse Gene Expression and DNA Methylation Profiles Correlate with Differential Adaptation of Breast Cancer Cells to the Antiestrogens Tamoxifen and Fulvestrant Cancer Res., December 15, 2006; 66(24): 11954 - 11966. [Abstract] [Full Text] [PDF] |
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J M W Gee, V E Shaw, S E Hiscox, R A McClelland, N K Rushmere, and R I Nicholson Deciphering antihormone-induced compensatory mechanisms in breast cancer and their therapeutic implications Endocr. Relat. Cancer, December 1, 2006; 13(Supplement_1): S77 - S88. [Abstract] [Full Text] [PDF] |
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B. M. Jaber, T. Gao, L. Huang, S. Karmakar, and C. L. Smith The Pure Estrogen Receptor Antagonist ICI 182,780 Promotes a Novel Interaction of Estrogen Receptor-{alpha} with the 3',5'-Cyclic Adenosine Monophosphate Response Element-Binding Protein-Binding Protein/p300 Coactivators Mol. Endocrinol., November 1, 2006; 20(11): 2695 - 2710. [Abstract] [Full Text] [PDF] |
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J. Lamb, E. D. Crawford, D. Peck, J. W. Modell, I. C. Blat, M. J. Wrobel, J. Lerner, J.-P. Brunet, A. Subramanian, K. N. Ross, et al. The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease. Science, September 29, 2006; 313(5795): 1929 - 1935. [Abstract] [Full Text] [PDF] |
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A. Howell Pure oestrogen antagonists for the treatment of advanced breast cancer. Endocr. Relat. Cancer, September 1, 2006; 13(3): 689 - 706. [Abstract] [Full Text] [PDF] |
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T. Shioda, J. Chesnes, K. R. Coser, L. Zou, J. Hur, K. L. Dean, C. Sonnenschein, A. M. Soto, and K. J. Isselbacher Importance of dosage standardization for interpreting transcriptomal signature profiles: Evidence from studies of xenoestrogens PNAS, August 8, 2006; 103(32): 12033 - 12038. [Abstract] [Full Text] [PDF] |
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Y. C. Lim, L. Li, Z. Desta, Q. Zhao, J. M. Rae, D. A. Flockhart, and T. C. Skaar Endoxifen, a Secondary Metabolite of Tamoxifen, and 4-OH-Tamoxifen Induce Similar Changes in Global Gene Expression Patterns in MCF-7 Breast Cancer Cells J. Pharmacol. Exp. Ther., August 1, 2006; 318(2): 503 - 512. [Abstract] [Full Text] [PDF] |
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J. Frasor, E. C. Chang, B. Komm, C.-Y. Lin, V. B. Vega, E. T. Liu, L. D. Miller, J. Smeds, J. Bergh, and B. S. Katzenellenbogen Gene expression preferentially regulated by tamoxifen in breast cancer cells and correlations with clinical outcome. Cancer Res., July 15, 2006; 66(14): 7334 - 7340. [Abstract] [Full Text] [PDF] |
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S. Woditschka, J. D. Haag, J. L. Waller, D. M. Monson, A. A. Hitt, H. L. Brose, R. Hu, Y. Zheng, P. A. Watson, K. Kim, et al. Neu-Induced Retroviral Rat Mammary Carcinogenesis: A Novel Chemoprevention Model for Both Hormonally Responsive and Nonresponsive Mammary Carcinomas. Cancer Res., July 1, 2006; 66(13): 6884 - 6891. [Abstract] [Full Text] [PDF] |
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F. Stossi, V. S. Likhite, J. A. Katzenellenbogen, and B. S. Katzenellenbogen Estrogen-occupied Estrogen Receptor Represses Cyclin G2 Gene Expression and Recruits a Repressor Complex at the Cyclin G2 Promoter J. Biol. Chem., June 16, 2006; 281(24): 16272 - 16278. [Abstract] [Full Text] [PDF] |
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C L Wilson, A H Sims, A Howell, C J Miller, and R B Clarke Effects of oestrogen on gene expression in epithelium and stroma of normal human breast tissue. Endocr. Relat. Cancer, June 1, 2006; 13(2): 617 - 628. [Abstract] [Full Text] [PDF] |
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S. Olivier, P. Close, E. Castermans, L. de Leval, S. Tabruyn, A. Chariot, M. Malaise, M.-P. Merville, V. Bours, and N. Franchimont Raloxifene-Induced Myeloma Cell Apoptosis: A Study of Nuclear Factor-{kappa}B Inhibition and Gene Expression Signature Mol. Pharmacol., May 1, 2006; 69(5): 1615 - 1623. [Abstract] [Full Text] [PDF] |
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D. M. E. Harvell, J. K. Richer, D. C. Allred, C. A. Sartorius, and K. B. Horwitz Estradiol Regulates Different Genes in Human Breast Tumor Xenografts Compared with the Identical Cells in Culture Endocrinology, February 1, 2006; 147(2): 700 - 713. [Abstract] [Full Text] [PDF] |
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J. G. W. Fleming, T. E. Spencer, S. H. Safe, and F. W. Bazer Estrogen Regulates Transcription of the Ovine Oxytocin Receptor Gene through GC-Rich SP1 Promoter Elements Endocrinology, February 1, 2006; 147(2): 899 - 911. [Abstract] [Full Text] [PDF] |
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J. D. Yager and N. E. Davidson Estrogen Carcinogenesis in Breast Cancer N. Engl. J. Med., January 19, 2006; 354(3): 270 - 282. [Full Text] [PDF] |
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S C J P Gielen, L C M Kuhne, P C Ewing, L J Blok, and C W Burger Tamoxifen treatment for breast cancer enforces a distinct gene-expression profile on the human endometrium: an exploratory study Endocr. Relat. Cancer, December 1, 2005; 12(4): 1037 - 1049. [Abstract] [Full Text] [PDF] |
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S. C.J.P. Gielen, C. W. Burger, L. C.M. Kuhne, P. Hanifi-Moghaddam, and L. J. Blok Analysis off Estrogen Agonism and Antagonism of Tamoxifen, Raloxifene, and ICI182780 in Endometrial Cancer Cells: A Putative Role for the Epidermal Growth Factor Receptor Ligand Amphiregulin Reproductive Sciences, October 1, 2005; 12(7): e55 - e66. [Abstract] [PDF] |
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J. Frasor, J. M. Danes, C. C. Funk, and B. S. Katzenellenbogen Estrogen down-regulation of the corepressor N-CoR: Mechanism and implications for estrogen derepression of N-CoR-regulated genes PNAS, September 13, 2005; 102(37): 13153 - 13157. [Abstract] [Full Text] [PDF] |
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M. Ivanova, K. M. Dobrzycka, S. Jiang, K. Michaelis, R. Meyer, K. Kang, B. Adkins, O. A. Barski, S. Zubairy, J. Divisova, et al. Scaffold Attachment Factor B1 Functions in Development, Growth, and Reproduction Mol. Cell. Biol., April 15, 2005; 25(8): 2995 - 3006. [Abstract] [Full Text] [PDF] |
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H K Kinyamu, J Chen, and T K Archer Linking the ubiquitin-proteasome pathway to chromatin remodeling/modification by nuclear receptors J. Mol. Endocrinol., April 1, 2005; 34(2): 281 - 297. [Abstract] [Full Text] [PDF] |
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T. Itoh, K. Karlsberg, I. Kijima, Y.-C. Yuan, D. Smith, J. Ye, and S. Chen Letrozole-, Anastrozole-, and Tamoxifen-Responsive Genes in MCF-7aro Cells: A Microarray Approach Mol. Cancer Res., April 1, 2005; 3(4): 203 - 218. [Abstract] [Full Text] [PDF] |
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C. J. Fabian and B. F. Kimler Selective Estrogen-Receptor Modulators for Primary Prevention of Breast Cancer J. Clin. Oncol., March 10, 2005; 23(8): 1644 - 1655. [Full Text] [PDF] |
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J A Vendrell, I Bieche, C Desmetz, E Badia, S Tozlu, C Nguyen, J C Nicolas, R Lidereau, and P A Cohen Molecular changes associated with the agonist activity of hydroxy-tamoxifen and the hyper-response to estradiol in hydroxy-tamoxifen-resistant breast cancer cell lines Endocr. Relat. Cancer, March 1, 2005; 12(1): 75 - 92. [Abstract] [Full Text] [PDF] |
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R. Varshochi, F. Halim, A. Sunters, J. P. Alao, P. A. Madureira, S. M. Hart, S. Ali, D. M. Vigushin, R. C. Coombes, and E. W.-F. Lam ICI182,780 Induces p21Waf1 Gene Transcription through Releasing Histone Deacetylase 1 and Estrogen Receptor {alpha} from Sp1 Sites to Induce Cell Cycle Arrest in MCF-7 Breast Cancer Cell Line J. Biol. Chem., February 4, 2005; 280(5): 3185 - 3196. [Abstract] [Full Text] [PDF] |
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D. G. DeNardo, H.-T. Kim, S. Hilsenbeck, V. Cuba, A. Tsimelzon, and P. H. Brown Global Gene Expression Analysis of Estrogen Receptor Transcription Factor Cross Talk in Breast Cancer: Identification of Estrogen-Induced/Activator Protein-1-Dependent Genes Mol. Endocrinol., February 1, 2005; 19(2): 362 - 378. [Abstract] [Full Text] [PDF] |
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M. Karl, M. Potier, I. H. Schulman, A. Rivera, H. Werner, A. Fornoni, and S. J. Elliot Autocrine Activation of the Local Insulin-Like Growth Factor I System Is Up-Regulated by Estrogen Receptor (ER)-Independent Estrogen Actions and Accounts for Decreased ER Expression in Type 2 Diabetic Mesangial Cells Endocrinology, February 1, 2005; 146(2): 889 - 900. [Abstract] [Full Text] [PDF] |
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P. Labhart, S. Karmakar, E. M. Salicru, B. S. Egan, V. Alexiadis, B. W. O'Malley, and C. L. Smith Identification of target genes in breast cancer cells directly regulated by the SRC-3/AIB1 coactivator PNAS, February 1, 2005; 102(5): 1339 - 1344. [Abstract] [Full Text] [PDF] |
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M. Fan, H. Nakshatri, and K. P. Nephew Inhibiting Proteasomal Proteolysis Sustains Estrogen Receptor-{alpha} Activation Mol. Endocrinol., November 1, 2004; 18(11): 2603 - 2615. [Abstract] [Full Text] [PDF] |
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