Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptional properties of estrogen receptor fusion genes.

ABSTRACT: RNA sequencing (RNA-seq) detects estrogen receptor alpha gene (ESR1) fusion transcripts in estrogen receptor positive (ER+) breast cancer but their role in disease pathogenesis remains unclear. Herein we examined multiple in-frame and out-of-frame ESR1 fusions and found that two, both identified in advanced endocrine treatment resistant disease, encoded stable and functional in-frame fusion proteins. In both examples, ESR1-e6>YAP1 and ESR1-e6>PCDH11X, the N-terminal, DNA binding and dimerization motifs encoded by exons 2-6 were fused to C terminal sequences from the partner gene. Functional properties included estrogen-independent growth, constitutive expression of ER target genes, anti-estrogen resistance, induction of cellular motility in vitro and the development of lung metastasis in vivo. Chromatin immunoprecipitation and RNA sequencing experiments showed both fusions uniquely activated a metastasis-associated transcriptional program. ESR1-e6>YAP1 and ESR1-e6>PCDH11X-induced growth remained sensitive to a CDK4/6 inhibitor, palbociclib, and a patient-derived xenograft (PDX) naturally expressing the ESR1-e6>YAP1 fusion was also responsive. Transcriptionally active ESR1 fusions therefore trigger both endocrine therapy resistance and metastatic progression explaining the association with fatal disease progression, although CDK4/6 inhibitor treatment is predicted to be effective.

ORGANISM(S): Homo sapiens

PROVIDER: GSE116170 | GEO | 2018/07/11

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Targeting kinome reprogramming in ESR1 fusion-driven metastatic breast cancer

Project description:Transcriptionally active ESR1 fusions promote endocrine therapy (ET)-resistant growth and metastasis of estrogen receptor-alpha positive (ERα+) breast cancer. Currently, there are no targeted treatment options for tumors harboring active fusions because the ESR1 ligand binding domain (LBD) has been replaced with non-drug binding sequences from the 3’ partner gene. A mass spectrometry (MS)-based Kinase Inhibitor Pulldown Assay (KIPA) demonstrated an increase of multiple receptor tyrosine kinases including RET in T47D cells expressing active ESR1 fusions. Integrated proteogenomics defined tumor subsets that could be responsive to RET and CDK4/6 directed therapy from 22 biologically heterogeneous ERα+ patient-derived xenograft (PDX) tumors. Inhibition of RET by repurposing an FDA-approved drug significantly suppressed ESR1 fusion-driven growth of cell, PDX-derived organoid (PDXO) and PDX models. CDK4/6 inhibitor treatment showed similar tumor reductions to RET inhibition. Here, we reveal therapeutic kinase vulnerabilities in ESR1 fusion-driven tumors, which will lay the framework for future clinical trials.

2023-10-24 | PXD033339 | Pride

ESR1 fusions invoke breast cancer subtype-dependent enrichment of ligand independent oncogenic signatures and phenotypes [RNA-seq]

Project description:Breast cancer is a leading cause of female mortality and despite advancements in personalized therapeutics, metastatic disease largely remains incurable due to drug resistance. The estrogen receptor (ER, ESR1) is expressed in two-thirds of all breast cancer, and under endocrine stress, somatic ESR1 mutations arise in ~30% of cases that result in endocrine resistance. We and others reported ESR1 fusions as a mechanism of ER mediated endocrine resistance. ER fusions, which retain the AF1 and DNA binding domains, harbor ESR1 exons 1-6 fused to an in-frame gene partner resulting in loss of the ER ligand binding domain (LBD). We demonstrate that in a no-special type (invasive ductal carcinoma (IDC)- NST) and an invasive lobular carcinoma (ILC) cell line, ER fusions exhibit robust hyperactivation of canonical ER signaling pathways independent of estradiol or anti-endocrine therapies. We employ cell line models stably overexpressing ER fusions with concurrent endogenous ER knockdown to minimize endogenous ER influence. Cell lines exhibited shared transcriptomic enrichment in pathways known to be drivers of metastatic disease, notably MYC signaling. Cells expressing the 3’ fusion partners SOX9 and YAP1 consistently demonstrated enhanced growth and cell survival. ILC cells expressing the DAB2 fusion led to enhanced growth, survival, and migration; phenotypes not appreciated in the IDC- NST DAB2 model. Herein, we report that cell line activity is subtype-, fusion-, and assay-specific suggesting that LBD loss, the fusion partner, and the cellular landscape all influence fusion activities. Therefore, it will be critical to assess fusion frequency, in the context of the tumor clinicopathology.

2023-12-09 | GSE249723 | GEO

ESR1 fusions invoke breast cancer subtype-dependent enrichment of ligand independent oncogenic signatures and phenotypes [ChIP-seq]

2024-05-02 | GSE266407 | GEO

DNA methylation of estrogen regulated enhancers defines endocrine sensitivity in breast cancer

Project description:Expression of estrogen receptor (ESR1) determines whether a breast cancer patient receives endocrine therapy as part of their adjuvant care, but does not guarantee patient response. However, the molecular factors that define endocrine response in ESR1-positive breast cancer patients remain poorly understood. Here, we characterize the DNA methylome of endocrine sensitivity and demonstrate the potential impact of differential DNA methylation on endocrine response in breast cancer. We show that DNA hypermethylation occurs predominantly at estrogen-responsive enhancers and is associated with reduced ESR1 binding and decreased gene expression of key regulators of ESR1-activity; thus providing a novel mechanism by which endocrine response is abated in ESR1-positive breast cancers. Conversely, we delineate that ESR1-responsive enhancer hypomethylation is critical in transition from normal mammary epithelial cells to endocrine responsive ESR1-positive cancer. Cumulatively these novel insights highlight the potential of ESR1-responsive enhancer methylation to both predict ESR1-positive disease and stratify ESR1-positive breast cancer patients as responders to endocrine therapy. Methylation profiling with Illumina's HumanMethylation450K array was performed on ESR1-positive hormone sensitive MCF7 cells, and three different well characterised endocrine resistant MCF7-derived cell lines; tamoxifen-resistant (TAMR), fulvestrant-resistant (FASR) and estrogen deprivation resistant (MCF7X) cells. For each cell line two biological replicates were profiled bringing the number of samples to eight.

2015-07-01 | E-GEOD-69118 | biostudies-arrayexpress

DNA methylation of estrogen regulated enhancers defines endocrine sensitivity in breast cancer

2015-07-01 | GSE69118 | GEO

Transcriptional profiling of estrogen receptor fusion genes in breast cancer cell lines

Project description:Genomic analysis has recently identified multiple ESR1 gene translocations in estrogen receptor-alpha positive (ERα+) metastatic breast cancer (MBC) that encode chimeric proteins whereby the ESR1 ligand binding domain (LBD) is replaced by C-terminal sequences from many different gene partners. Here we functionally screened 15 ESR1 fusions and identified 10 that promoted estradiol-independent cell growth, motility, invasion, EMT and resistance to fulvestrant. RNA sequencing identified a gene expression pattern specific to functionally active ESR1 gene fusions that was subsequently reduced to a diagnostic 24-gene signature. This signature was further examined in 20 ERα+ patient-derived xenografts (PDXs) and in 55 ERα+ MBC samples. The 24-gene signature successfully identified cases harboring ESR1 gene fusions and also accurately diagnosed the presence of activating ESR1 LBD point mutations. Therefore, the 24-gene signature represents an efficient approach to screening samples for the presence of diverse somaticESR1 mutations and translocations that drive endocrine treatment failure in MBC.

2021-12-19 | GSE191158 | GEO

ESR1 Y537S and D538G mutations drive resistance to CDK4/6 inhibitors in estrogen receptor-positive breast cancer

Project description:Purpose: Breast cancers with ESR1 mutations are resistant to antiestrogen therapy. We aimed to investigate the association of ESR1 mutations with resistance to CDK4/6 inhibitors (CDK4/6i) using real-world data analysis and experimental validation. Patients and Methods: A total of 3,958 patients with estrogen receptor-positive (ER+) metastatic breast cancer with DNA sequencing data were analyzed. Breast tumor DNA and circulating tumor (ct) DNA were sequenced using the Tempus xT tumor assay and Tempus xF liquid biopsy, respectively. Patients were stratified into either treated with CDK4/6i (breast tumors: 1,070; ctDNA: 1,885) or CDK4/6i naïve (breast tumors: 750; ctDNA: 253). Engineered MCF7 cells carrying ESR1 Y537S or D538G knock-in mutations were used to study antitumor efficacy of the CDK4/6i, palbociclib in vitro and in vivo. Results: In both xF and xT assays, ESR1 mutations were the only somatic alterations significantly more frequent in those who received CDK4/6i than those who did not. Knock-in of ESR1 Y537S or ESR1 D538G in MCF7 cells resulted in upregulation of cell cycle-related gene signatures upon treatment with CDK4/6i ± antiestrogen compared to cells with non-mutant ESR1. MCF7 xenografts harboring ESR1 Y537S and D538G mutations established in nude mice were resistant to palbociclib. Conclusions: We report herein real-world and preclinical evidence that ESR1 mutations, particularly Y537S and D538G, can drive resistance to CDK4/6 inhibitors.

2024-11-12 | GSE281302 | GEO

Estrogen Receptor Mutant Coregulator

Project description:Biotinylated 4xERE-containing DNA immobilized on streptavidin beads used to pulldown proteins recruited by unliganded WT ER-alpha versus Y537S, D538G, or ESR1-YAP1 fusion proteins from HeLa S3 human cell nuclear extracts.

2017-02-08 | MSV000080536 | MassIVE

The TAZ-CAMTA1 and YAP-TFE3 fusion proteins modulate the basal TAZ/YAP transcriptional program by recruiting the Ada2a-containing histone acetyltransferase complex [RNA-seq]

Project description:The WWTR1(TAZ)-CAMTA1 and YAP1-TFE3 gene fusions are disease defining gene alterations for epithelioid hemangioendothelioma, a vascular cancer. The resultant fusion proteins fuse the C terminus of CAMTA1 and TFE3 in frame to the N terminus of TAZ and YAP, respectively. An unbiased BioID-mass spectrometry/RNAi screen identified YEATS2 and ZZZ3 as components of the Ada2a-containing histone acetyltransferase complex and key interactors of both TAZ-CAMTA1 and YAP-TFE3. An integrative NGS approach including RNA-Seq and ATAC-Seq showed that the differentially expressed genes in YAP-TFE3 cells with knockdown of YEATS2 or ZZZ3 are nested in regions of open chromatin unique to YAP-TFE3. The altered transcriptional program of the fusion proteins is modulated by the Ada2a-containing histone acetyltransferase complex.

2021-03-04 | GSE168205 | GEO

The TAZ-CAMTA1 and YAP-TFE3 fusion proteins modulate the basal TAZ/YAP transcriptional program by recruiting the Ada2a-containing histone acetyltransferase complex [atacseq]

Project description:The WWTR1(TAZ)-CAMTA1 and YAP1-TFE3 gene fusions are disease defining gene alterations for epithelioid hemangioendothelioma, a vascular cancer. The resultant fusion proteins fuse the C terminus of CAMTA1 and TFE3 in frame to the N terminus of TAZ and YAP, respectively. An unbiased BioID-mass spectrometry/RNAi screen identified YEATS2 and ZZZ3 as components of the Ada2a-containing histone acetyltransferase complex and key interactors of both TAZ-CAMTA1 and YAP-TFE3. An integrative NGS approach including RNA-Seq, ChIP-Seq, and ATAC-Seq showed TAZ-CAMTA1 and YAP-TFE3 transcriptional programs overlap with TAZ and YAP but also drive expression of a novel transcriptome. The altered transcriptional program of the fusion proteins owing to altered DNA binding as well as shifts in the chromatin landscape.

2020-12-01 | GSE152733 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data