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Links from GEO DataSets

Items: 20

1.

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
2.

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
3.

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
4.

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
5.

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
6.

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
7.

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
8.

Tissue Specific Pathways for Estrogen Regulation of Ovarian Cancer Growth and Metastasis

(Submitter supplied) Menopausal estrogen (E2) replacement therapy increases the risk of estrogen receptor (ER)-positive epithelial ovarian cancers (EOC). Whether E2 is tumorigenic or promotes expansion of undiagnosed pre-existing disease is unknown. To determine E2 effects on tumor promotion, we developed an intraperitoneal mouse xenograft model using ZsGreen fluorescent ER- 2008 and ER+ PEO4 human EOC cells. Tumor growth was quantified by in vivo fluorescent imaging. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS4066
Platform:
GPL570
15 Samples
Download data: CEL
Series
Accession:
GSE22600
ID:
200022600
9.
Full record GDS4066

Ovarian cancer intraperitoneal xenograft model

Analysis of estrogen receptor (ER)+PEO4 or ER-2008 human epithelial ovarian cancer (EOC) cells laser captured from intraperitoneal xenografts of mice treated with estrogen (E2). Menopausal E2 replacement therapy increases risk of ER+ EOC. Results provide insight into E2 effects on tumor promotion.
Organism:
Homo sapiens
Type:
Expression profiling by array, transformed count, 2 agent, 2 cell type, 2 genotype/variation sets
Platform:
GPL570
Series:
GSE22600
15 Samples
Download data: CEL
10.

Maintenance of Hormone Responsiveness in Luminal Breast Cancers by Suppression of Notch

(Submitter supplied) Luminal breast cancers express estrogen (ER) and/or progesterone (PR) receptors and respond to hormone therapies. Basal-like “triple negative” (TN) cancers lack steroid receptors but are cytokeratin (CK) 5-positive and require chemotherapy. Here we show that over half of primary ER+PR+ breast cancers contain an ER–PR–CK5+ “luminobasal” subpopulation exceeding 1% of cells. Starting from ER+PR+ luminal cell lines, we generated novel lines with varying luminal to luminobasal-cell ratios and studied their molecular and biological properties. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10481
24 Samples
Download data
Series
Accession:
GSE31870
ID:
200031870
11.

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
12.

Expression data of MCF7 cells following short-term E deprivation, ER-alpha siRNA knockdown and oxidant treatments

(Submitter supplied) To investigate the oxidant sensitivity of E/ER regulated gene expression, E/ER regulated genes are identified using E deprivation or ER-alpha siRNA knockdown; and oxidative stress responsive is determined by 8hr exposure to diamide, hydrogen peroxide and menadione Keywords: biomarker identification
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL3921
12 Samples
Download data: CEL
Series
Accession:
GSE10061
ID:
200010061
13.

Expression data from age-dichotomized ER+ breast tumors

(Submitter supplied) To investigate the biological basis between aging and sporadic breast cancer incidence and prognosis, RNA samples from matched ER+ invasive breast cancers diagnosed in either young (≤45) or old (≥70) women were analyzed by expression microarrays Keywords: biomarker identification
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL4685
47 Samples
Download data: CEL
Series
Accession:
GSE8193
ID:
200008193
14.

Expression data from age-dichotomized ER+, N0 breast tumors

(Submitter supplied) Signaling pathways that converge on two different transcription factor complexes, NFκB and AP-1, have been identified in estrogen receptor (ER)-positive breast cancers resistant to the antiestrogen, tamoxifen. In this study, biomarkers co-ordinately up-regulated by NFKB and AP-1 with prognositic significance are identified in a largely TAM-treated set of ER+ node negative breast cancers. The prognostic value with respect to age is also investigated. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL4685
54 Samples
Download data: CEL
Series
Accession:
GSE7378
ID:
200007378
15.

Comparison of MPA regulated gene expression profiles to those regulated by PROG, DHT, DEX

(Submitter supplied) Medroxyprogesterone acetate (MPA) is a progestin that can bind to and activate progesterone, androgen and glucocorticoid receptors. However, it is not known which receptor mediates MPA action in a cellular context where all three of these receptors are co-expressed and functional. This microarray experiment was performed to compare the transcriptomes induced by MPA and the cognate ligands for these receptors ie progesterone (PROG), 5a-dihydrotestosterone (DHT) and dexamethasone (DEX) in breast cancer cells to determine which was most similar to MPA.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL16686
15 Samples
Download data: CEL
Series
Accession:
GSE139870
ID:
200139870
16.

Active FOXO1 is a Key Determinant of Isoform-Specific Progesterone Receptor Transactivation and Senescence Programming

(Submitter supplied) Progesterone promotes differentiation coupled to proliferation and pro-survival in the breast, but inhibits estrogen-driven growth in the reproductive tract and ovaries. Herein, it is demonstrated, using progesterone receptor (PR) isoform-specific ovarian cancer model systems, that PR-A and PR-B promote distinct gene expression profiles that differ from PR-driven genes in breast cancer cells. In ovarian cancer models, PR-A primarily regulates genes independently of progestin, while PR-B is the dominant ligand-dependent isoform. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
36 Samples
Download data
Series
Accession:
GSE69296
ID:
200069296
17.

Active FOXO1 is a Key Determinant of Isoform-Specific Progesterone Receptor Transactivation and Senescence Programming

(Submitter supplied) The progesterone receptor specific gene targets were investigated in ovarian and breast cancer cell lines where FOXO1 was found to be a primary factor that cooperates with PR to activate cellular senescence genes (including p21) specifically in ovarian cells. ABSTRACT: Progesterone promotes differentiation coupled to proliferation and pro-survival in the breast, but inhibits estrogen-driven growth in the reproductive tract and ovaries. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
18 Samples
Download data: TXT
Series
Accession:
GSE69295
ID:
200069295
18.

Active FOXO1 is a Key Determinant of Isoform-Specific Progesterone Receptor Transactivation and Senescence Programming

(Submitter supplied) The progesterone receptor specific gene targets were investigated in ovarian and breast cancer cell lines where FOXO1 was found to be a primary factor that cooperates with PR to activate cellular senescence genes (including p21) specifically in ovarian cells. ABSTRACT: Progesterone promotes differentiation coupled to proliferation and pro-survival in the breast, but inhibits estrogen-driven growth in the reproductive tract and ovaries. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
18 Samples
Download data: TXT
Series
Accession:
GSE69294
ID:
200069294
19.

Progesterone receptor directs a distinct estrogen receptor-alpha chromatin binding profile in breast cancer to elicit good clinical outcome

(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
Platform:
GPL11154
197 Samples
Download data: TXT
Series
Accession:
GSE68359
ID:
200068359
20.

RNA-seq in two ER+ breast cancer cell lines with and without progestins

(Submitter supplied) Exploring effect of progesterone/progestin treatment on gene expression
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
48 Samples
Download data: TXT
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