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Links from GEO DataSets

Items: 20

1.

Genomic agonism and phenotypic antagonism between estrogen and progesterone receptors in breast cancer. [cell models RNA-seq]

(Submitter supplied) 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. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
28 Samples
Download data: CSV
Series
Accession:
GSE80366
ID:
200080366
2.

Genomic agonism and phenotypic antagonism between estrogen and progesterone receptors in breast cancer. [ChIP-seq]

(Submitter supplied) 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. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL16791
26 Samples
Download data: BED
Series
Accession:
GSE80367
ID:
200080367
3.

Genomic agonism and phenotypic antagonism between estrogen and progesterone receptors in breast cancer. [tumor samples RNA-seq]

(Submitter supplied) 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. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
48 Samples
Download data: CSV
Series
Accession:
GSE80365
ID:
200080365
4.

Genomic agonism and phenotypic antagonism between estrogen and progesterone receptors in breast cancer.

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL16791
102 Samples
Download data
Series
Accession:
GSE80098
ID:
200080098
5.

Estrogen and progesterone receptor dynamics in patient-derived luminal breast cancer xenografts

(Submitter supplied) Progesterone receptors (PR) are co-expressed in over half of estrogen receptor (ER) positive breast cancers and predict positive response to endocrine therapy. PR can directly and globally modify ER action to attenuate tumor growth. However, whether this suppression occurs solely through PR-ER interactions remains unknown. We assessed tumor growth in two highly ER and PR positive breast cancer patient-derived xenografts (PDX) and found that natural and synthetic progestins potently antagonize the mitogenic effects of estrogens. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL11532
12 Samples
Download data: CEL
Series
Accession:
GSE93944
ID:
200093944
6.

ChIPseq analysis of patient-derived luminal breast cancer xenografts with progestins

(Submitter supplied) Primary breast cancer xenografts
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL16791
24 Samples
Download data: BED
Series
Accession:
GSE93108
ID:
200093108
7.

RNAseq analysis of patient-derived luminal breast cancer xenografts treated with progestins

(Submitter supplied) Primary breast cancer xenografts
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
12 Samples
Download data: FPKM_TRACKING
8.

Phosphorylated and Sumoylation-Deficient Progesterone Receptors Drive Proliferative Gene Signatures During Breast Cancer Progression

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL10558 GPL571
22 Samples
Download data: CEL
Series
Accession:
GSE34149
ID:
200034149
9.

Phosphorylated and Sumoylation-Deficient Progesterone Receptors Drive Proliferative Gene Signatures During Breast Cancer Progression (Illumina gene expression analysis)

(Submitter supplied) Anlaysis of the differential gene expression between T47D cells expressing wild type (WT) progesterone receptor isoform B (PR) or SUMOylation-deficient PR molecules.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
12 Samples
Download data: TXT
Series
Accession:
GSE34148
ID:
200034148
10.

Phosphorylated and Sumoylation-Deficient Progesterone Receptors Drive Proliferative Gene Signatures During Breast Cancer Progression (Affymetrix gene expression analysis)

(Submitter supplied) Anlaysis of the differential gene expression between T47D cells expressing wild type (WT) progesterone receptor isoform B (PR) or SUMOylation-deficient PR molecules.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL571
10 Samples
Download data: CEL
Series
Accession:
GSE34147
ID:
200034147
11.

Mechanism of Telapristone acetate (TPA) on Progesterone receptor (PR) action in T47D breast cancer cells

(Submitter supplied) To obtain a global analysis of the effect of TPA on the Progesterone Receptor (PR) cistrome
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL18573
24 Samples
Download data: BIGWIG
Series
Accession:
GSE113607
ID:
200113607
12.

Under conditions of hormonal adjuvant treatment the estrogen receptor apoprotein supports breast cancer cell cycling through the retinoic acid receptor α1 apoprotein

(Submitter supplied) Under conditions of hormonal adjuvant treatment the estrogen receptor apoprotein supports breast cancer cell cycling through the retinoic acid receptor α1 apoprotein. Basal proliferation persisted in estrogen-sensitive breast cancer cells grown in hormone depleted conditioned media without or with 4-hydroxytamoxifen (OH-Tam). Downregulating ER using siRNA inhibited basal proliferation by promoting cell cycle arrest. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS4065
Platform:
GPL570
12 Samples
Download data: CEL
Series
Accession:
GSE26298
ID:
200026298
13.
Full record GDS4065

Effect of estrogen receptor- or retinoic acid receptor-knockdown on estrogen-sensitive MCF7 breast cancer cells

Analysis of MCF7 cells transfected with control siRNA, estrogen receptor α (ER) siRNA or retinoic acid receptor α (RARα) siRNA. Basal proliferation of MCF7 cells was diminished by knocking down ER or RARα. Results provided insight into the molecular basis of basal proliferation.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 2 agent, 3 dose, 3 genotype/variation sets
Platform:
GPL570
Series:
GSE26298
12 Samples
Download data: CEL
14.

Progesterone receptor-B enhances estrogen responsiveness of breast cancer cells via scaffolding PELP1- and estrogen receptor-containing transcription complexes

(Submitter supplied) Progesterone and estrogen are important drivers of breast cancer proliferation. Herein, we probed estrogen receptor-α (ER) and progesterone receptor (PR) cross-talk in breast cancer models. Stable expression of PR-B in PR-low/ER+ MCF7 cells increased cellular sensitivity to estradiol and insulin-like growth factor 1 (IGF1), as measured in growth assays performed in the absence of exogenous progestin; similar results were obtained in PR-null/ER+ T47D cells stably expressing PR-B. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS5621
Platform:
GPL10558
12 Samples
Download data: TXT
Series
Accession:
GSE45643
ID:
200045643
15.
Full record GDS5621

Estradiol effect on MCF7 breast cancer cells expressing progesterone receptor-B

Analysis of estradiol-treated, progesterone receptor (PR)-low/estrogen receptor (ER)+ MCF7 breast cancer cells stably-expressing PR-B. Progesterone and estrogen are major drivers of breast cancer. Results provide insight into the molecular cross-talk between ER and PR-B in breast cancer.
Organism:
Homo sapiens
Type:
Expression profiling by array, transformed count, 2 agent, 2 genotype/variation sets
Platform:
GPL10558
Series:
GSE45643
12 Samples
Download data
16.

Genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL96
508 Samples
Download data: CEL, TXT
Series
Accession:
GSE25066
ID:
200025066
17.

Effect of MEL-18 knockdown on estrogen-sensitive MCF7 breast cancer cells

(Submitter supplied) Gene expression analysis of MEL-18-silenced MCF7 cell lines. MEL-18 is a component of the polycomb repressive complex (PRC)-1, which is a critical epigenetic modulator of stem cell regulation and normal and cancerous development. Accumulating studies have suggested that MEL-18 might act as a tumor suppressor in several human tumors, including breast cancer. Results provide insight into the functional role of MEL-18 in estrogen-dependent breast cancer.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
4 Samples
Download data: TXT
Series
Accession:
GSE64716
ID:
200064716
18.

Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen

(Submitter supplied) Background: Estrogen receptor positive (ER+) breast cancers (BC) are heterogeneous with regard to their clinical behavior and response to therapies. The ER is currently the best predictor of response to the anti-estrogen agent tamoxifen, yet up to 30-40% of ER+BC will relapse despite tamoxifen treatment. New prognostic biomarkers and further biological understanding of tamoxifen resistance are required. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
77 Samples
Download data: CEL, RDATA, TXT
Series
Accession:
GSE9195
ID:
200009195
19.

Definition of clinically distinct molecular subtypes in estrogen receptor positive breast carcinomas using genomic grade

(Submitter supplied) Purpose: A number of microarray studies have reported distinct molecular profiles of breast cancers (BC): basal-like, ErbB2-like and two to three luminal-like subtypes. These were associated with different clinical outcomes. However, although the basal and the ErbB2 subtypes are repeatedly recognized, identification of estrogen receptor (ER)-positive subtypes has been inconsistent. Refinement of their molecular definition is therefore needed. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL96 GPL97 GPL570
741 Samples
Download data: CEL, RDATA, TXT
Series
Accession:
GSE6532
ID:
200006532
20.

breast cancer / tamoxifen monotherapy (microdissected tumor biopsies)

(Submitter supplied) dataset of 60 patients with ER-positive primary breast cancer and treated with tamoxifen monotherapy for 5 years. Data were generated from LCMed cancer cells. Sample_keyword: breast cancer, tamoxifen, recurrence Keywords: other
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS807
Platform:
GPL1223
60 Samples
Download data
Series
Accession:
GSE1378
ID:
200001378
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