U.S. flag

An official website of the United States government

Format
Items per page
Sort by

Send to:

Choose Destination

Links from GEO DataSets

Items: 20

1.

Discovery of naturally occurring ESR1 mutations during acquisition of resistance to endocrine therapy in widely used estrogen receptor positive breast cancer cell lines [RNA-Seq]

(Submitter supplied) We report the first discovery of naturally occurring ESR1Y537C and ESR1Y537S mutations in MCF7 and SUM44 ESR1-positive cell-lines after acquisition of resistance to long-term-estrogen-deprivation (LTED) and subsequent resistance to fulvestrant (ICIR).
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL18573 GPL16791
15 Samples
Download data: TXT
2.

Discovery of naturally occurring ESR1 mutations during acquisition of resistance to endocrine therapy in widely used estrogen receptor positive breast cancer cell lines

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing
Platforms:
GPL16791 GPL18573
27 Samples
Download data: XLS
Series
Accession:
GSE100076
ID:
200100076
3.

Discovery of naturally occurring ESR1 mutations during acquisition of resistance to endocrine therapy in widely used estrogen receptor positive breast cancer cell lines [ChIP-Seq]

(Submitter supplied) We report the first discovery of naturally occurring ESR1Y537C and ESR1Y537S mutations in MCF7 and MCF7 ESR1-positive cell-lines after acquisition of resistance to long-term-estrogen-deprivation (LTED) and subsequent resistance to fulvestrant (ICIR).
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL18573
12 Samples
Download data: XLS
Series
Accession:
GSE100074
ID:
200100074
4.

RNA-seq analysis of ESR1 mutations in T47D and MCF7 cell lines

(Submitter supplied) Purpose: Transcriptome analysis of ESR1 mutant cells was performed via sequencing total RNA in T47D and MCF7 cell lines containing Y537S and D538G mutations.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
48 Samples
Download data: CSV
5.

Clinical Value of RNA Sequencing–Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network—Breast Initiative [cohort 3273]

(Submitter supplied) PURPOSE In early breast cancer (BC), five conventional biomarkers—estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), Ki67, and Nottingham histologic grade (NHG)—are used to determine prognosis and treatment. We aimed to develop classifiers for these biomarkers that were based on tumor mRNA sequencing (RNA-seq), compare classification performance, and test whether such predictors could add value for risk stratification. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL11154 GPL18573
3409 Samples
Download data: CSV, GTF
Series
Accession:
GSE96058
ID:
200096058
6.

Clinical Value of RNA Sequencing–Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network—Breast Initiative [superseries]

(Submitter supplied) This SuperSeries is composed of the SubSeries GSE81538 [cohort 405] and GSE96058 [cohort 3273] linked to below. PURPOSE In early breast cancer (BC), five conventional biomarkers—estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), Ki67, and Nottingham histologic grade (NHG)—are used to determine prognosis and treatment. We aimed to develop classifiers for these biomarkers that were based on tumor mRNA sequencing (RNA-seq), compare classification performance, and test whether such predictors could add value for risk stratification. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL18573 GPL11154
3814 Samples
Download data
Series
Accession:
GSE81540
ID:
200081540
7.

Clinical Value of RNA Sequencing–Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network—Breast Initiative [cohort 405]

(Submitter supplied) PURPOSE In early breast cancer (BC), five conventional biomarkers—estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), Ki67, and Nottingham histologic grade (NHG)—are used to determine prognosis and treatment. We aimed to develop classifiers for these biomarkers that were based on tumor mRNA sequencing (RNA-seq), compare classification performance, and test whether such predictors could add value for risk stratification. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
405 Samples
Download data: CSV, GTF, XLSX
Series
Accession:
GSE81538
ID:
200081538
8.

Modeling the ESR1 tyrosine 537 mutation with CRISPR-Cas9 for mechanistic studies and evaluation of therapeutic approaches for metastatic breast cancer

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing
Platforms:
GPL11154 GPL16791
17 Samples
Download data: WIG
Series
Accession:
GSE78286
ID:
200078286
9.

Modeling the ESR1 tyrosine 537 mutation with CRISPR-Cas9 for mechanistic studies and evaluation of therapeutic approaches for metastatic breast cancer [RNA-Seq]

(Submitter supplied) Estrogen receptor-α (ERα) is an important driver of breast cancer and is the target for hormonal therapies, anti-estrogens and drugs that limit estrogen biosynthesis (aromatase inhibitors). Mutations in the ESR1 gene identified in metastatic breast cancer provide a potential mechanism for acquired resistance to hormone therapies. We have used CRISPR-Cas9 mediated genome editing in the MCF-7 breast cancer cell line, generating MCF-7-Y537S. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
11 Samples
Download data: XLSX
10.

Modeling the ESR1 tyrosine 537 mutation with CRISPR-Cas9 for mechanistic studies and evaluation of therapeutic approaches for metastatic breast cancer [ChIP-Seq]

(Submitter supplied) Estrogen receptor-α (ERα) is an important driver of breast cancer and is the target for hormonal therapies, anti-estrogens and drugs that limit estrogen biosynthesis (aromatase inhibitors). Mutations in the ESR1 gene identified in metastatic breast cancer provide a potential mechanism for acquired resistance to hormone therapies. We have used CRISPR-Cas9 mediated genome editing in the MCF-7 breast cancer cell line, generating MCF-7-Y537S. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL11154
6 Samples
Download data: WIG
Series
Accession:
GSE78284
ID:
200078284
11.

ESR1 mutations affect anti-proliferative responses to tamoxifen through enhanced cross-talk with IGF signaling

(Submitter supplied) The rediscovery of estrogen receptor (ESR1) mutations in metastatic breast cancer is current clinical scenario. We have modeled the three most frequent ESR1 mutations using stable lentiviral vectors in human breast cancer cell lines, and determined that they confer relative resistance to tamoxifen (Tam) in a cell-type specific manner due to distinct epigenetic changes. Resistance was only observed with concomitant engagement and activation of the insulin growth factor signaling pathway (IGF1R). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
23 Samples
Download data: CEL
Series
Accession:
GSE95529
ID:
200095529
12.

Antiestrogen-resistant subclones of MCF-7 human breast cancer cells are derived from a common clonal drug-resistant progenitor

(Submitter supplied) Emergence of antiestrogen-resistant cells in MCF-7 cells during suppression of estrogen signaling is a widely accepted model of acquired breast cancer resistance to endocrine therapy. To obtain insight into the genomic basis of endocrine therapy resistance, we characterized MCF-7 monoclonal sublines that survived 21-day exposure to tamoxifen (T-series sublines) or fulvestrant (F-series sublines) and sublines unselected by drugs (U-series). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
30 Samples
Download data: CEL
Series
Accession:
GSE14986
ID:
200014986
13.

AKT antagonist AZD5363 influences estrogen receptor function in endocrine resistant breast cancer and synergizes with fulvestrant (ICI182780) in vivo

(Submitter supplied) Phosphoinositide-3-kinase/protein-kinaseB/mammalian target of rapamycin (PI3K/AKT/mTOR) signalling plays an important role in breast cancer (BC). Its interaction with estrogen receptor (ER) signalling becomes more complex and inter-dependent with acquired endocrine resistance. Targeting mTOR combined with endocrine therapy has shown clinical utility, however, a negative feedback-loop exists downstream of PI3K/AKT/mTOR. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
12 Samples
Download data: TXT
Series
Accession:
GSE69893
ID:
200069893
14.

Targeting ESR1 mutation-induced transcriptional addiction with BET inhibition

(Submitter supplied) We investigated the therapeutic potential of BET inhibition to target ESR1 mutation-induced “transcriptional addiction” in ER-positive breast cancer. Our studies show that ESR1 mutant (Y537S and D538G) cells activate unique transcriptional programs that are targeted by OTX015, a BET inhibitor
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
18 Samples
Download data: XLSX
Series
Accession:
GSE206185
ID:
200206185
15.

Antisense miRNA-221/222 (si221/222) and control inhibitor (GFP) treated fulvestrant-resistant breast cancer cells

(Submitter supplied) Full title: Expression data from antisense miRNA-221/222 (si221/222) and control inhibitor (GFP) treated fulvestrant-resistant breast cancer cells The expression of miR-221/222 were found to be upregulated in fulvestrant resistant breast cancer cells MCF7-FR compared to its drug-sensitive counterpart MCF7. To investigate the role of miR-221/222 in acquired resistance to fulvestrant, we lowered the level of miR-221/222 in MCF7-FR cells using miRNA inhibitors (antagomirs), and compared gene expression profiles before and after treatment.
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS4054
Platform:
GPL570
9 Samples
Download data: CEL
Series
Accession:
GSE19777
ID:
200019777
16.
Full record GDS4054

microRNA-221/222 knockdown effect on fulvestrant-resistant MCF7 breast cancer cells

Analysis of fulvestrant-resistant MCF7 cells transfected with antisense miRNA inhibitors targeting miR-221 and miR-222. miR-221/222 knockdown inhibits cell proliferation in fulvestrant-resistant MCF7-F cells. Results provide insight into the role of miR-221/222 in acquired resistance to fulvestrant.
Organism:
Homo sapiens
Type:
Expression profiling by array, transformed count, 3 genotype/variation sets
Platform:
GPL570
Series:
GSE19777
9 Samples
Download data: CEL
17.

Analysis of breast cancer cells

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL18573 GPL20301
149 Samples
Download data: CSV, TXT
Series
Accession:
GSE241944
ID:
200241944
18.

PRO-seq analysis of estradiol, OP-1250, fulvestrant and 4OH-tamoxifen treatments at multiple timepoints in breast cancer cells

(Submitter supplied) The estrogen receptor (ER) is a well-established target for the treatment of breast cancer, with the majority of patients presenting as ER-positive (ER+). Endocrine therapy is a mainstay of breast cancer treatment but the development of resistance mutations in response to aromatase inhibitors, poor pharmacokinetic properties of fulvestrant, agonist activity of tamoxifen, and limited benefit for elacestrant leave unmet needs for patients with or without resistance mutations in ESR1, the gene that encodes the ER protein. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
96 Samples
Download data: TXT
Series
Accession:
GSE241764
ID:
200241764
19.

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

(Submitter supplied) 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. more...
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL13534
8 Samples
Download data: IDAT
Series
Accession:
GSE69118
ID:
200069118
20.

Transcriptome Analysis Reveals a Role for Myc in Constitutive and Antiestrogen-resistant Proliferation of Breast Cancer Cells Expressing ERαY537S and ERαD538G Mutations

(Submitter supplied) Approximately 30% of metastatic breast cancers harbor estrogen receptor α (ERα/ESR1) mutations that are associated with resistance to endocrine therapy and shorter patient survival. How these ERα mutations elicit an aggressive tumor phenotype was largely unknown. Recently, we reported cell lines in which the wild-type ESR1 gene is replaced by the two most common ERα mutations, ERαY537S and ERαD538G. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20301
27 Samples
Download data: TXT
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

db=gds|term=|query=1|qty=2|blobid=MCID_678e790e3ebf211704e729cb|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
   Taxonomic Groups  [List]
Tree placeholder
    Top Organisms  [Tree]

Find related data

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
Support Center