E-GEOD-43730
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA187182
PROVIDER: E-GEOD-43730 | ExpressionAtlas | 2025-01-24
REPOSITORIES: ExpressionAtlas
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| E-GEOD-43730-analysis-methods.tsv | Tabular | |||
| E-GEOD-43730-atlasExperimentSummary.Rdata | Rdata | |||
| E-GEOD-43730-configuration.xml | Xml | |||
| E-GEOD-43730-percentile-ranks.tsv | Tabular | |||
| E-GEOD-43730.condensed-sdrf.tsv | Tabular |
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Project description:A Myc transcriptional program that is independent of EMT drives a poor prognosis tumor-propagating phenotype in HER2+ breast cancer
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Project description:The HER2 (ERBB2) and MYC genes are commonly amplified genes in breast cancer, yet little is known about their molecular and clinical interaction. Using a novel chimeric mammary transgenic approach and in vitro models, we demonstrate markedly increased self renewal and tumour propagating capability of cells transformed with Her2 and c-Myc. Co-expression of both oncogenes in cultured cells led to a pronounced activation of a c-Myc transcriptional signature and acquisition of a self renewing phenotype independent of an EMT programme or regulation of cancer stem cell markers. We show that HER2 and c-MYC are frequently co-amplified in a clinical breast cancer cohort and that co-amplification is strongly associated with aggressive clinical behaviour and poor outcome. Lastly, we show that in patients receiving adjuvant chemotherapy (but not targeted anti-HER2 therapy), MYC amplification is associated with a poor outcome in HER2+ breast cancer patients. These findings demonstrate the importance of molecular context in oncogenic transformation and acquisition of a malignant stem-like phenotype and have important diagnostic and therapeutic consequences for the clinical management of HER2+ breast cancer. Gene expression analysis of Her2, Myc, and Her2 + Myc over expression on MCF10A cells, with MCF10A vector control comparison
2013-09-24 | E-GEOD-43730 | biostudies-arrayexpress
Project description:The HER2 (ERBB2) and MYC genes are commonly amplified genes in breast cancer, yet little is known about their molecular and clinical interaction. Using a novel chimeric mammary transgenic approach and in vitro models, we demonstrate markedly increased self renewal and tumour propagating capability of cells transformed with Her2 and c-Myc. Co-expression of both oncogenes in cultured cells led to a pronounced activation of a c-Myc transcriptional signature and acquisition of a self renewing phenotype independent of an EMT programme or regulation of cancer stem cell markers. We show that HER2 and c-MYC are frequently co-amplified in a clinical breast cancer cohort and that co-amplification is strongly associated with aggressive clinical behaviour and poor outcome. Lastly, we show that in patients receiving adjuvant chemotherapy (but not targeted anti-HER2 therapy), MYC amplification is associated with a poor outcome in HER2+ breast cancer patients. These findings demonstrate the importance of molecular context in oncogenic transformation and acquisition of a malignant stem-like phenotype and have important diagnostic and therapeutic consequences for the clinical management of HER2+ breast cancer.
2013-09-24 | GSE43730 | GEO
Project description:Interleukin 6 (IL6) signaling has been associated with an aggressive and metastatic phenotype in multiple solid tumors including breast cancer, but its mechanism of action in mediating tumor progression and treatment response is not clear. By exploiting a clinically relevant intraductal xenograft model of estrogen receptor positive (ER+) breast cancer, we demonstrate that IL6 increases both primary tumor growth and distant metastases. By integrating pre-clinical models and clinical specimens, we show that signal transducer and activator of transcription 3 (STAT3) mediates IL6-induced activation of a metastatic gene program from enhancer-elements shared with ER and its pioneer factor FOXA1. Although IL6 activated STAT3 and ER/FOXA1 share cis-regulatory regions, STAT3 drives transcription independent of ER and FOXA1 function, and the IL6/STAT3 gene program is not influenced by ER-targeted therapies, decoupling these two important pathways. This demonstrates that ER/FOXA1 and IL6/STAT3 are two parallel, but independent actionable pathways controlling breast cancer progression.
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Project description:Expression data from breast cancer tumor-initiating cells
2025-01-24 | E-GEOD-32526 | ExpressionAtlas
Project description:We demonstrate that the loss of CDK12 protein or activity, unlike CDK9 or CDK7, significantly upregulates the expression of certain genes, including genes whose activation contributes to the anti-proliferative effects of CDK12 inhibition. In HER2+ breast cancer, a malignancy where CDK12 is almost invariably co-amplified with HER2, CDK12 inhibition drives up the expression of MYC, which is toxic to HER2+ cancer cells. This upregulation of c-myc largely mediates the killing effect of CDK12 inhibition. Therefore, we report a novel mode of regulation of gene expression via CDK12, which represents a promising target for cancer driven by HER2 gene amplification.
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Project description:RNA-seq of HER2-positive breast cancer BT474 cell line in response to KDM5 ihibition
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Project description:Disruption of Estrogen Signaling Enhances Invasiveness of Breast Cancer Cells by Attenuating a HER2-independent Gene Repression Program
2016-11-01 | GSE53734 | GEO
Project description:Purpose HER2 gene amplification or protein overexpression (HER2+) defines a clinically challenging subgroup of breast cancer with variable prognosis and response to therapy. We aimed to investigate the heterogeneous biological appearance and clinical behavior of HER2+ tumors using molecular profiling. Materials and Methods Hierarchical clustering of gene expression data from 58 HER2-amplified tumors of various stage, histological grade and estrogen receptor (ER) status was used to construct a HER2-derived prognostic predictor that was further evaluated in several large independent breast cancer data sets. Results Unsupervised analysis identified three subtypes of HER2+ tumors with mixed stage, histological grade and ER-status. One subtype had a significantly worse clinical outcome. A prognostic predictor was created based on differentially expressed genes between the subtype with worse outcome and the other subtypes. The predictor was able to define patient groups with better and worse outcome in HER2+ breast cancer across multiple independent breast cancer data sets and identify a sizable HER2+ group with long disease-free survival and low mortality. Significant correlation to prognosis was also observed in basal-like, ER−, lymph node positive or high-grade tumors, irrespective of HER2-status. The predictor included genes associated to immune response, tumor invasion and metastasis. Conclusion The HER2-derived prognostic predictor provides further insight into the heterogeneous biology of HER2+ tumors and may become useful for improved selection of patients that need additional treatment with new drugs targeting the HER2 pathway. Array comparative genomic hybridization (aCGH) identified 58 breast tumors with amplification of HER2 from a larger cohort of approx 500 tumors breast. Global gene expression profiles were obtained using 70-mer oligonucleotide microarrays. Unsupervised hierarchical clustering of the 58 tumors, using Pearson correlation and complete linkage, identified three main clusters. One cluster showed significantly poorer clinical outcome. Significance of microarray (SAM) analysis was performed to identify 158 genes separating the poor outcome cluster compared to the other two clusters. Gene expression centroids, based on the 158 genes, were created for each cluster for validation in independent breast cancer data sets.
2010-03-16 | E-GEOD-18328 | biostudies-arrayexpress
Project description:Interleukin 6 (IL6) signaling has been associated with an aggressive and metastatic phenotype in multiple solid tumors including breast cancer, but its mechanism of action in mediating tumor progression and treatment response is not clear. By exploiting a clinically relevant intraductal xenograft model of estrogen receptor positive (ER+) breast cancer, we demonstrate that IL6 increases both primary tumor growth and distant metastases. By integrating pre-clinical models and clinical specimens, we show that signal transducer and activator of transcription 3 (STAT3) mediates IL6-induced activation of a metastatic gene program from enhancer-elements shared with ER and its pioneer factor FOXA1. Although IL6 activated STAT3 and ER/FOXA1 share cis-regulatory regions, STAT3 drives transcription independent of ER and FOXA1 function, and the IL6/STAT3 gene program is not influenced by ER-targeted therapies, decoupling these two important pathways. This demonstrates that ER/FOXA1 and IL6/STAT3 are two parallel, but independent actionable pathways controlling breast cancer progression.
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