Expression data from Tamoxifen resistant Breast Cancer Cell lines
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ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Hurst Helen
PROVIDER: S-ECPF-GEOD-22664 | biostudies-other |
REPOSITORIES: biostudies-other
Similar Datasets
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 Resistant (TR) gene profile from Breast cancer cell lines T47D and ZR75-1 with their oestrogen-deprieved conterparts were analysed for gene associated with TR. We used Microarray Affymetrix HU133plus 2.0 chips for gene expression of TR cell lines, normalised them against GEO data available for normal T47D (GSM70667) and ZR75-1 (GSM70668).
2010-12-31 | GSE22664 | GEO
Project description:Resistance to endocrine therapy agents has presented a clinical obstacle in the treatment of hormone-dependent breast cancer. Our laboratory has initiated a study of microRNA regulation of signaling pathways that may result in breast cancer progression on aromatase inhibitors (AI). Microarray analysis of microRNA expression identified 115 significantly regulated microRNAs, of which 49 microRNAs were believed to be hormone-responsive. Within the AI-resistant cells, microRNAs were differentially expressed between the steroidal and non-steroidal AI-resistant lines. Also, a group of microRNAs were inversely expressed in the AI-resistant lines versus LTEDaro and tamoxifen-resistant. We focused our work on hsa-miR-128a which was hormone-responsive and up-regulated in the letrozole-resistant cell lines. Human miR-128a was shown to negatively target TGFBRI protein expression by binding to the 3’UTR region of the gene. Loss of TGFBRI resulted in compromised sensitivity to the growth inhibitory effects of TGFB in the letrozole-resistant lines. Inhibition of endogenous miR-128a resulted in re-sensitization of the letrozole-resistant lines to TGFB growth inhibitory effects. This data suggests that the hormone-responsive miR-128a can modulate TGFB signaling and survival of the letrozole-resistant cell lines. To our knowledge, this is the first study to address the role of microRNA regulation as well as TGFB signaling in AI-resistant breast cancer cell lines. We believe that in addition to estrogen-modulation of gene expression, hormone-regulated microRNAs may provide an additional level of post-transcriptional regulation of signaling pathways critically involved in breast cancer progression and AI-resistance. To look at microRNA expression profiles of breast cancer cell lines derived from MCF-7 cells that are resistant to endocrine therapy agents. MCF-7 cells that overexpress aromatase (MCF-7aro) were cultured long-term in the presence of endocrine therapy agents until cells acquired resistance. Three different aromatase inhibitors (letrozole, anastrozole or exemestane) were used, as well as the ER antagonist tamoxifen, or the hormone-free long-term estrogen deprived cells (LTED). Three replicates of the control cells (MCF-7aro) and all resistant cells were used for microarray experiments. Total of 23 samples were analyzed by microarray.
| S-ECPF-GEOD-17775 | biostudies-other
Project description:Tamoxifen Resistant (TR) gene profile from Breast cancer cell lines T47D and ZR75-1 with their oestrogen-deprieved conterparts were analysed for gene associated with TR. We used Microarray Affymetrix HU133plus 2.0 chips for gene expression of TR cell lines, normalised them against GEO data available for normal T47D (GSM70667) and ZR75-1 (GSM70668). We grew parental breast cancer cell lines in tamoxifen containing media (0.1 microM) for 6 months and labelled them tamoxifen resistant (TR). Oestrogen-Deprieved cells were grown in charcoal-stripped media for 6 months then tamoxifen (0.1 microM) was added to the media and cells maintained a further 6 months and termed Oestrogen deprieved-tamoxifen resistant (ODTR) .
2010-12-31 | E-GEOD-22664 | biostudies-arrayexpress
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.
| S-EPMC7746845 | biostudies-literature
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
2009-12-10 | GSE14513 | GEO
Project description:Roughly two-thirds of all breast cancers are ERα-positive and can be treated with the antiestrogen, Tamoxifen, however resistance occurs in 33% of women who take the drug for more than 5 y. Aberrant DNA methylation, an epigenetic mechanism that alters gene expression in cancer, is thought to play a role in this resistance. To develop an understanding of Tamoxifen-resistance and identify novel pathways and targets of aberrant methylation, DNA from MCF-7 breast cancer cells and Tamoxifen-resistant derivatives, TMX2-11 and TMX2-28, were analyzed using the Illumina HumanMethylation450 BeadChip. Normalizing against MCF-7 values, ERα-positive TMX2-11 had 4000 hypermethylated sites and ERα-negative TMX2-28 had over 33 000. Analysis of CpG sites altered in both TMX2-11 and TMX2-28 revealed that the Tamoxifen-resistant cell lines share 3000 hypermethylated and 200 hypomethylated CpGs. ZNF350 and MAGED1, two genes hypermethylated in both cell lines, were examined in greater detail. Treatment with 5-aza-2ꞌdeoxycitidine caused a significant reduction in promoter methylation of both ZNF350 and MAGED1 and a corresponding increase in expression in TMX2-28. A similar relationship between methylation and expression was not detected in TMX2-11. Our findings are indicative of the variable responses to methylation-targeted breast cancer therapy and highlight the need for biomarkers that accurately predict treatment outcome.
| S-EPMC3962540 | biostudies-literature
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).
2009-12-09 | E-GEOD-14513 | biostudies-arrayexpress
Project description:Despite the availability of drugs that target ERα-positive breast cancer, resistance commonly occurs, resulting in relapse, metastasis, and death. Tamoxifen remains the most commonly-prescribed endocrine therapy worldwide, and "tamoxifen resistance" has been extensively studied. However, little consideration has been given to the role of endoxifen, the most abundant active tamoxifen metabolite detected in patients, in driving resistance mechanisms. Endoxifen functions differently from the parent drug and other primary metabolites, including 4-hydroxy-tamoxifen (4HT). Many studies have shown that patients who extensively metabolize tamoxifen into endoxifen have superior outcomes relative to patients who do not, supporting a primary role for endoxifen in driving tamoxifen responses. Therefore, "tamoxifen resistance" may be better modeled by "endoxifen resistance" for some patients. Here, we report the development of novel endoxifen-resistant breast cancer cell lines and have extensively compared these models to 4HT and fulvestrant (ICI)-resistant models. Endoxifen-resistant cells were phenotypically and molecularly distinct from 4HT-resistant cells and more closely resembled ICI-resistant cells overall. Specifically, endoxifen resistance was associated with ERα and PR loss, estrogen insensitivity, unique gene signatures, and striking resistance to most FDA-approved second- and third-line therapies. Given these findings, and the importance of endoxifen in the efficacy of tamoxifen therapy, our data indicate that endoxifen-resistant models may be more clinically relevant than existing models and suggest that a better understanding of endoxifen resistance could substantially improve patient care. IMPLICATIONS: Here we report on the development and characterization of the first endoxifen-resistant models and demonstrate that endoxifen resistance may better model tamoxifen resistance in a subset of patients.
| S-EPMC8178211 | biostudies-literature
Project description:Breast cancer is a genetically and phenotypically complex disease. To understand the role of microRNAs in this molecular complexity, we performed miRNA expression analysis in a cohort of molecularly well-characterized human breast cancer (BC) cell lines to discover miRNAs associated with the most common molecular subtypes and the most frequent genetic aberrations.Using a microarray carrying LNA™ modified oligonucleotide capture probes (Exiqon), expression levels of 725 human miRNAs were measured in 51 BC cell lines. MiRNA expression was explored by unsupervised cluster analysis and then associated with the molecular subtypes and genetic aberrations commonly present in breast cancer. Unsupervised cluster analysis using the most variably expressed miRNAs divided the 51 BC cell lines into a major and a minor cluster predominantly mirroring the luminal and basal intrinsic subdivision of BC cell lines. One hundred and thirteen miRNAs were differentially expressed between these two main clusters of which half were related to the ER-status of the cell lines. Forty miRNAs were differentially expressed between basal-like and normal-like/claudin-low cell lines. Within the luminal-group of cell lines, 39 miRNAs were associated with ERBB2 overexpression and 24 miRNAs with E-cadherin gene mutations, which are frequent in this subtype of BC cell lines. In contrast, 31 different miRNAs were associated with E-cadherin promoter hypermethylation, which, contrary to E-cadherin mutation, is exclusively observed in BC cell lines that are not of luminal origin. The differential expression of 30 miRNAs were associated with p16INK4 status while only a few differentially expressed miRNAs were associated with BRCA1, or PIK3CA/PTEN, TP53 mutation status of the cell lines (P-value < 0.05). Twelve miRNAs were associated with DNA copy number variation of the respective locus. Luminal-basal and epithelial-mesenchymal associated miRNAs determine the overall subdivision of miRNA transcriptome of BC cell lines. Specific sets of miRNAs were associated with ERBB2 overexpression, p16INK4aor E-cadherin mutation or E-cadherin methylation status, which implies that these miRNAs may contribute to the driver role of the genetic aberrations. Additionally, miRNAs, which are located in a genomic region showing recurrent genetic aberrations, may themselves play a driver role in breast carcinogenesis or contribute to a driver gene in their vicinity. In short, our study provides detailed molecular miRNA portraits of BC cell lines, which can be exploited for functional studies of clinically important miRNAs. Affymetrix plus2PM arrays were hybridized according to the manufacturer's procedure using RNA extracted from 52 cultured breast cancer cell lines. Most cellines were analyzed in triplicate. Gene expression data in log2 scale arrays were calculated and associated with diverse characteristics. This submission represents the gene expression component of the study only
| S-ECPF-GEOD-41313 | biostudies-other