Similar Datasets
Project description:Multi-treatment models for breast cancer
| PRJNA563821 | ENA
Project description:Transcriptomic changes and estrogen and progesterone receptor binding in multiple ER+/PR+ models (eight ER+/PR+ patient tumors, various T47Ds, ZR75) and multiple ER+/PR-negative models (four ER+/PR- patient tuumors, PR-deficient T47D and MCF7 cells) treated with various hormone combinations. Results: In isolation, estrogen and progestin act as genomic agonists by regulating the expression of common target genes in similar directions, but at different levels. Similarly, in isolation, progestin is also a weak phenotypic agonist of estrogen action. However, in the presence of both hormones, progestin behaves as a phenotypic estrogen antagonist. PR remodels nucleosomes to noncompetitively redirect ER genomic binding to distal enhancers enriched for BRCA1 binding motifs and sites that link PR and ER/PR complexes. Importantly, when both hormones are present, progestin modulates estrogen action such that responsive transcriptomes, cellular processes and ER/PR recruitment to genomic sites correlate with those observed with PR alone, but not ER alone. Conclusions: Genomic Agonism and Phenotypic Antagonism between Estrogen and Progesterone Receptors in Breast Cancer. Individual and concerted actions of ER and PR highlight the prognostic and therapeutic value of PR in ER+/PR+ breast cancers. ER+/PR+ and ER+/PR-deficient model systems were deprived of steroids by culturing them in phenol red free RPMI 1640 media that is supplemented with 10% charcoal-stripped fetal bovine serum and 1% penicillin/streptomycin. Subsequently, these steroid-deprived models were treated with either vehicle, 10 nM estradiol, 10 nM progestin R5020 or 10 nM of both the hormones and genomics (ChIP-seq and RNA-seq) was performed. ChIP-seq was done after 45 minutes of hormone treatments. For cell models, RNA-seq was done after 12 hours of hormone treatments. Tumor explants were treated with either 24 or 48 hours.
2016-06-01 | E-GEOD-80366 | biostudies-arrayexpress
Project description:E-cadherin suppresses invasion and promotes metastasis in multiple breast cancer models
| PRJNA454875 | ENA
Project description:The genomic landscape of metastasis in treatment-naïve breast cancer models
| PRJNA596799 | ENA
Project description:MCF-7:5C and MCF-7:2A are two in vitro models of Estrogen Receptor alpha positive (ER+) estrogen deprivation-resistant breast cancer. Both cell lines grow robustly in the absence of estrogen [PMID:1301400, PMID:7780972]. MCF-7:PF is an in vitro model of antihormone resistant breast cancer that exhibits the characteristics of acquired tamoxifen resistance [PMID:24183378] The goal of this study was to compare basal levels of gene expression during exponential phase of growth in MCF-7-derived models of endocrine resistance, relative to their isogenic parental cells
2014-11-30 | GSE60079 | GEO
Project description:This study provides insights into the efficacy of beta-blockers as breast cancer therapeutics.Cell line models of basal-type and estrogen receptor-positive breast cancer were profiled for basal levels of adrenoceptor gene/protein expression, and ADRβ2-mediated cell behaviour including migration, invasion, adhesion, and proliferation in response to adrenoceptor agonist/antagonist treatment. Protein profiling and histology identified response biomarkers and drug targets. Protein profiling revealed the upregulation of the pro-metastatic gene LYPD3 in norepinephrine treated MDA MB 468 cells. Histology confirmed selective LYPD3 expression in clinical primary and metastatic breast tumours. These findings demonstrate that basal-type cancer models show a more aggressive ADRβ2-activated phenotype in the resting and stimulated state, which is attenuated by ADRβ2 inhibition, and explain some of the previous studies that have cast doubt on the value of beta-blocker therapy in breast cancer. These findings suggest that propranolol should be clinically evaluated in patients with basal-type tumours expressing high levels of ADRβ2 and LYPD3.
2020-05-26 | PXD009488 | Pride
Project description:Cyclophosphamide treatment experiments in mouse models of breast cancer: 4T1 and E0771
| PRJNA787482 | ENA
Project description:The study of breast cancer pathogenesis relies heavily on the use of established cell lines often derived from metastatic lesions, which while having significantly contributed to the knowledge of breast cancer biology may inadvertently limit the understanding of the mechanisms governing the metastatic process. Our goal was to establish primary cultures from dissociation of breast tumors in order to provide cellular models that may better recapitulate breast cancer pathogenesis and the metastatic process. These cellular models differ from recently developed patient derived xenograft models (PDX) in that they can be used for both in vitro and in vivo studies. Here we report the characterization of six cellular models derived from the dissociation of primary breast tumor specimens, referred to as “dissociated tumor (DT) cells”. Among the DT cells are those that are tumorigenic and metastatic in immunosuppressed mice, and a group of cancer-associated fibroblasts (CAFs). In vitro, DT cells were characterized by proliferation assays, colony formation assays, protein and gene expression profiling, including PAM50 predictor analysis. The latter showed DT cultures similar to their paired primary tumor and as belonging to the basal and Her2-enriched subtypes, offering novel cellular models of these ER-negative breast cancer subtypes. In vivo, three DT cultures are tumorigenic in NOD/SCID and NSG mice, and one of these is metastatic to lymph nodes and lung after orthotopic inoculation into the mammary fat pad, without excision of the primary tumor. DT cultures comprised of CAFs were isolated from luminal-A, Her2-enriched and basal primary tumors, providing subtype-specific components of the tumor microenvironment. Altogether, these DT cultures provide closer-to-primary cellular models for the study of breast cancer pathogenesis, metastasis and tumor microenvironment. reference x sample
2014-08-22 | E-GEOD-55070 | biostudies-arrayexpress
Project description:Background: Human breast cancer is a heterogeneous disease consisting of multiple molecular subtypes. Genetically engineered mouse models (GEMMs) are useful resources for studying breast cancers in vivo under genetically controlled and immune competent conditions. Identifying murine models with conserved human tumor features will facilitate etiology determinations, highlight the effects of mutations on pathway activation, and improve preclinical drug validation. Results: Transcriptomic profiles of 27 murine models of mammary carcinoma and normal mammary tissue were determined using gene expression microarrays. Hierarchical clustering analysis identified 17 distinct murine subtypes (classes). Across species analyses using three independent human breast cancer datasets identified eight murine classes that represent specific human breast cancer subtypes. Multiple models were associated with human basal-like tumors including TgC3(1)-Tag, TgWap-Myc, and Trp53-/-. Interestingly, the TgWAPCre-Etv6 model mimicked the HER2-enriched subtype, a group of human tumors without a murine counterpart in previous comparative studies. Gene signature analysis identified hundreds of commonly expressed pathways between linked mouse and human subtypes, highlighting potentially common genetic drivers of tumorigenesis and candidate pathways for therapeutic intervention. Conclusion: This study consolidates murine models of breast carcinoma into the largest comprehensive transcriptomic dataset to date to identify human-mouse disease subtype counterparts. This approach illustrates the value of comparisons between species to identify murine models that faithfully mimic the human condition and indicates that multiple GEMMs are needed to represent the diversity of human breast cancers. These trans-species associations should guide model selection during preclinical study design to ensure appropriate representatives of the human disease subtypes are used. Keywords: breast cancer, comparative genomics, genetically engineered mouse models, and molecular pathway signatures reference x sample
2013-11-04 | E-GEOD-42640 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the following subset Series: GSE13914: Molecular profiling of breast cancer cell lines defines relevant tumor models (aCGH) GSE15361: Molecular profiling of breast cancer cell lines defines relevant tumor models (gene expression) Refer to individual Series
2010-06-25 | E-GEOD-15376 | biostudies-arrayexpress