Maximizing ER-? Degradation Maximizes Activity in a Tamoxifen-Resistant Breast Cancer Model: Identification of GDC-0927.
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ABSTRACT:
SUBMITTER: Kahraman M
PROVIDER: S-EPMC6331158 | biostudies-literature | 2019 Jan
REPOSITORIES: biostudies-literature
Publications
Maximizing ER-α Degradation Maximizes Activity in a Tamoxifen-Resistant Breast Cancer Model: Identification of GDC-0927.
Kahraman Mehmet M Govek Steven P SP Nagasawa Johnny Y JY Lai Andiliy A Bonnefous Celine C Douglas Karensa K Sensintaffar John J Liu Nhin N Lee KyoungJin K Aparicio Anna A Kaufman Josh J Qian Jing J Shao Gang G Prudente Rene R Joseph James D JD Darimont Beatrice B Brigham Daniel D Heyman Richard R Rix Peter J PJ Hager Jeffrey H JH Smith Nicholas D ND
ACS medicinal chemistry letters 20181206 1
The further optimization of ER-α degradation efficacy of a series of ER modulators by refining side-chain substitution led to efficacious selective estrogen receptor degraders (SERDs). A fluoromethyl azetidine group was found to be preferred and resulted in the identification of bis-phenol chromene <b>17ha</b>. In a tamoxifen-resistant breast cancer xenograft model, <b>17ha</b> (ER-α degradation efficacy = 97%) demonstrated tumor regression, together with robust reduction of intratumoral ER-α le ...[more]
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Project description:To elucidate the molecular mechanisms of tamoxifen resistance in breast cancer, we performed gene array analysis and identified 366 genes with altered expression in four unique tamoxifen resistant (TamR) cell lines vs the parental tamoxifen sensitive MCF7/S0.5 cell line. Most of these genes were funcationally linked to cell proliferation, death and control gene expression, and include FYN, PRKCA, ITPR1, DPYD, DACH1, LYN, GBP1 and PRLR. Treatment with FYN specific small interfering RNA or a SRC family kinase inhibitor reduced cell growth of TamR cell lines while exerting no significant effect on MCF7/S0.5 cells. Moreover, overexpression of FYN in parental tamoxifen-sensitive MCF7/S0.5 cells resulted in reduced sensitivity to tamoxifen, demonstrating growth and survival promoting function of FYN in MCF7 cells. FYN knockdown in TamR cells led to reduced phosphorylation of 14-3-3 and CDc 25A, suggesting that FYN, by activation of of important cell cycle-associated proteins, may overcome the anti-proliferative effects of tamoxifen. Evaluation of the subcellular localization of FYN in primary breast tumors from two cohorts of endocrine-treated ER+ breast cancer patients, one with advanced disease (N = 47) and the other with early disease (N = 76), showed that in the former, plasma membrane-associated FYN expression strongly correlated with longer progression-free survival (P<0.0002). Similarly, in early breast cancer patients, membrane-associated expression of FYN in the primary breast tumor was significantly associated with increased metastasis-free (P<0.04) and overall (P<0.004) survival independent of tumor size, grade or lymph node status. Our results indicate that FYN has an important role in tamoxifen resistance, and its subcellular localization in breast tumor cells may be an important novel biomarker of response to endocrine therapy in breast cancer.
2016-04-10 | GSE67916 | GEO
Project description:Resistance to endocrine therapy remains a clinical challenge in the treatment of estrogen receptor-positive (ER+) breast cancer. We investigated if adding a traditional Asian herbal mixture consisting of 12 herbs, called Jaeumkanghwa-tang (JEKHT), to tamoxifen (TAM) therapy might prevent resistance and recurrence in the ER+ breast cancer model of 7,12-dimethylbenz[a]anthracene (DMBA)-exposed Sprague-Dawley rats. Rats were divided into four groups treated as follows: 15 mg/kg TAM administered via diet as TAM citrate (TAM only); 500 mg/kg JEKHT administered via drinking water (JEKHT only group); TAM + JEKHT and no treatment control group. The study was replicated using two different batches of JEKHT. In both studies, a significantly higher proportion of ER+ mammary tumors responded to TAM if animals also were treated with JEKHT (experiment 1: 47% vs 65%, P = 0.015; experiment 2: 43% vs 77%, P < 0.001). The risk of local recurrence also was reduced (31% vs 12%, P = 0.002). JEKHT alone was mostly ineffective. In addition, JEKHT prevented the development of premalignant endometrial lesions in TAM-treated rats (20% in TAM only vs 0% in TAM + JEKHT). Co-treatment of antiestrogen-resistant LCC9 human breast cancer cells with 1.6 mg/mL JEKHT reversed their TAM resistance in dose-response studies in vitro. Several traditional herbal medicine preparations can exhibit anti-inflammatory properties and may increase anti-tumor immune activities in the tumor microenvironment. In the tumors of rats treated with both JEKHT and TAM, expression of Il-6 (P = 0.03), Foxp3/T regulatory cell (Treg) marker (P = 0.033) and Tgf?1 that activates Tregs (P < 0.001) were significantly downregulated compared with TAM only group. These findings indicate that JEKHT may prevent TAM-induced evasion of tumor immune responses.
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Project description:Breast cancer cell lines are frequently used to elucidate the molecular mechanisms of the disease. However, a large proportion of cell lines are affected by problems such as mislabeling and cross-contamination. Therefore, it is of great clinical significance to select optimal breast cancer cell lines models. Using tamoxifen survival-related genes from breast cancer tissues as the gold standard, we selected the optimal cell line model to represent the characteristics of clinical tissue samples. Moreover, using relative expression orderings of gene pairs, we developed a gene pair signature that could predict tamoxifen therapy outcomes. Based on 235 consistently identified survival-related genes from datasets GSE17705 and GSE6532, we found that only the differentially expressed genes (DEGs) from the cell line dataset GSE26459 were significantly reproducible in tissue samples (binomial test, p = 2.13E-07). Finally, using the consistent DEGs from cell line dataset GSE26459 and tissue samples, we used the transcriptional qualitative feature to develop a two-gene pair (TOP2A, SLC7A5; NMU, PDSS1) for predicting clinical tamoxifen resistance in the training data (logrank p = 1.98E-07); this signature was verified using an independent dataset (logrank p = 0.009909). Our results indicate that the cell line model from dataset GSE26459 provides a good representation of the characteristics of clinical tissue samples; thus, it will be a good choice for the selection of drug-resistant and drug-sensitive breast cancer cell lines in the future. Moreover, our signature could predict tamoxifen treatment outcomes in breast cancer patients.
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Project description:PURPOSE:Although tamoxifen remains the frontline treatment for ER?-positive breast cancers, resistance to this drug limits its clinical efficacy. Most tamoxifen-resistant patients retain ER? expression which may support growth and progression of breast cancers. Therefore, we investigated epigenetic regulation of ER? that may provide a rationale for targeting ER? in these patients. METHODS:Expression levels of the mixed-lineage leukemia (MLL) family of proteins in tamoxifen-resistant breast cancer cells and publicly available breast cancer patient data sets were analyzed. Histone methylation levels in ER? promoter regions were assessed using chromatin immunoprecipitation. Expression levels of ER? and its target gene were analyzed using western blotting and real-time qPCR. Cell-cycle was analyzed by flow cytometry. RESULTS:The expression of MLL3 and SET-domain-containing 1A (SET1A) were increased in tamoxifen-resistant breast cancers. An MLL3 chromatin immunoprecipitation-sequencing data analysis and chromatin immunoprecipitation experiments for MLL3 and SET1A suggested that these proteins bound to enhancer or intron regions of the ESR1 gene and regulated histone H3K4 methylation status. Depletion of MLL3 or SET1A downregulated the expression level of ER? and inhibited the growth of tamoxifen-resistant breast cancer cells. Additional treatment with fulvestrant resulted in a synergistic reduction of ER? levels and the growth of the cells. CONCLUSIONS:The enhanced expression of MLL3 and SET1A in tamoxifen-resistant breast cancer cells supported the ER?-dependent growth of these cells by increasing ER? expression. Our results suggest that targeting these histone methyltransferases might provide an attractive strategy to overcome endocrine resistance.
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Project description:Background The purpose of the present study was to investigate the molecular mechanisms of tamoxifen resistance in breast cancer and to identify potential targets for antitamoxifen resistance. Methods Differentially expressed genes (DEGs) in tamoxifen-resistant and tamoxifen-sensitive breast cancer cells were assessed using the GSE67916 dataset acquired from the Gene Expression Omnibus database. Gene ontology (GO) and pathway enrichment analyses were applied to investigate the functions and pathways of the DEGs. Subsequently, the protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes (STRING), and subnetworks were further analyzed by Molecular Complex Detection (MCODE). The PPI network and subnetworks were visualized using Cytoscape software. Results In total, 438 DEGs were identified, of which 300 were upregulated and 138 were downregulated. The DEGs were significantly enriched in the protein binding, cellular response to estradiol stimulus, and immune response GO terms while the most significant pathways included the mitogen-activated protein kinase (MAPK) signaling pathway in cancer. The PPI network of DEGs was constructed with 288 nodes and 629 edges, and 2 subnetworks were screened out from the entire network. Conclusions A number of significant hub DEGs were identified based on their degree of connectivity in the PPI network, , included MAPK1 (node degree 36), ESR1 (node degree 27), SMARCA4 (node degree 27), RANBP2 (node degree 25), and PRKCA (node degree 21). These critical hub genes were found to be related to tamoxifen resistance in breast cancer. The results of this study further the understanding of tamoxifen resistance at the molecular level and identify potential therapeutic targets for tamoxifen-resistant breast cancer.
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2015-08-01 | GSE56411 | GEO
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Project description:A functional genetic screen to identify genes causing tamoxifen resistance in an estrogen-dependent human breast cancer cell model was performed. By insertion of defective retrovirus into the genome, individual genetic changes were introduced at random in ZR-75-1 cells. Subsequently, infected cells were selected for their ability to proliferate while being exposed to tamoxifen, and from these cultures stable cell lines were established. The retrovirus insertion sites were mapped enabling the identification of several candidate breast cancer anti-estrogen resistance (BCAR) genes. By cDNA transfection of estrogen-dependent cells resulting in their transformation into a tamoxifen-resistant phenotype, proof was provided for the causative role of BCAR genes.A functional genetic screen to identify genes causing tamoxifen resistance in an estrogen-dependent human breast cancer cell model was performed. By insertion of defective retrovirus into the genome, individual genetic changes were introduced at random in ZR-75-1 cells. Subsequently, infected cells were selected for their ability to proliferate while being exposed to tamoxifen, and from these cultures stable cell lines were established. The retrovirus insertion sites were mapped enabling the identification of several candidate breast cancer anti-estrogen resistance (BCAR) genes identified. By cDNA transfection of estrogen-dependent cells resulting in their transformation into a tamoxifen-resistant phenotype, proof was provided for the causative role of BCAR genes (Van Agthoven et al, Breast Cancer Res Treat DOI:10.1007/s10549-008-9969-5, 2008). To elucidate the mechanisms how these individual BCAR genes induce cell proliferation in growth-arrested ZR-75-1 cells, we assessed the gene expression patterns between the different groups of cell lines. Keywords: Expression profiling, reference design RNA was isolated from two independent cultures of 69 tamoxifen-resistant cell lines. Detailed information regarding these cell lines with respect to the viral integration sites, was described previously (Van Agthoven et al, Breast Cancer Res Treat DOI:10.1007/s10549-008-9969-5, 2008). Each sample was hybridized in duplicate/triplicate and once in a dye-swap. The mixture of cell lines used as a reference was detailed previously (Jansen et al, J Clin Oncol 23, 732, 2005).
| S-ECPF-GEOD-14513 | biostudies-other
Project description:Tamoxifen is an effective anti-estrogen treatment for patients with estrogen receptor-positive (ER+) breast cancer. However, about 30% of such patients receiving tamoxifen as an adjuvant therapy experience recurrence within 15 years, and most patients with advanced disease eventually develop resistance to tamoxifen. To elucidate the underlying molecular mechanisms of tamoxifen resistance, we performed a systematic analysis of miRNA-mediated gene regulation in three clinically-relevant tamoxifen-resistant human breast cancer cell lines (TamRs) compared to their parental tamoxifen-sensitive MCF-7/S0.5 cell line. Alterations in the expression of 131 miRNAs in tamoxifen-resistant vs. parental cell lines were identified, 22 of which were common to all TamRs using both sequencing and LNA-based quantitative PCR technologies. ER+ and tamoxifen sensitive breast cancer cell line (MCF-7/S0.5) and its derived tamoxifen resistant clones: TAMR-1, TAMR-4 and TAMR-8 were miRNA expression profiled in triplicates of each using Exiqon's miRCURY LNA based microRNA Ready-to-use PCR, Human panel I+II, V2.R (Exiqon, product number 203608).
2015-08-01 | E-GEOD-56411 | biostudies-arrayexpress