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Links from GEO DataSets

Items: 20

1.

Expression data from MCF-7 cells transfected with miR-26a and treated or not with estradiol

(Submitter supplied) Altered expression of microRNAs (miRNAs), an abundant class of small non-protein-coding RNAs that mostly function as negative regulators of protein-coding gene expression, is common in cancer. Here we analyze the regulation of miRNA expression in response to estrogen, a steroid hormone that is involved in the development and progression of breast carcinomas and that is acting via the estrogen receptors (ER) transcription factors. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5175
9 Samples
Download data: CEL
Series
Accession:
GSE17460
ID:
200017460
2.

Dynamic changes in gene expression in vivo predict prognosis of tamoxifen-treated patients with breast cancer

(Submitter supplied) Tamoxifen is the most widely prescribed anti-estrogen treatment for patients with ER-positive breast cancer. However, there is still a need for biomarkers that reliably predict endocrine sensitivity in breast cancers and these may well be expressed in a dynamic manner. In this study we assessed gene expression changes at multiple time points (days 1, 2, 4, 7, 14) after tamoxifen treatment in the ER-positive ZR-75-1 xenograft model that displays significant changes in apoptosis, proliferation and angiogenesis within 2 days of therapy. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL506
32 Samples
Download data: TXT
Series
Accession:
GSE22386
ID:
200022386
3.

microRNAs and their target proteins are associated with characteristics of estrogen receptor-positive breast cancer

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array; Expression profiling by array
Platforms:
GPL5639 GPL13746
16 Samples
Download data: GPR
Series
Accession:
GSE38280
ID:
200038280
4.

microRNAs and their target proteins associated with characteristics of estrogen receptor-positive breast cancer (mRNA data)

(Submitter supplied) Recent analyses have identified heterogeneity in estrogen receptor (ER)-positive breast cancer. There are so-called luminal A and luminal B subtypes, and the characteristics, such as response to endocrine therapy and chemotherapy and prognosis, are different in these two subtypes of breast cancer. In this study, expression profiles of microRNAs (miRNAs) and mRNAs in ER-positive breast cancer tissues were compared between highly and incompletely endocrine responsive tumors by miRNA and mRNA microarrays. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5639
8 Samples
Download data: GPR
Series
Accession:
GSE38279
ID:
200038279
5.

microRNAs and their target proteins are associated with characteristics of estrogen receptor-positive breast cancer (miRNA data)

(Submitter supplied) Recent analyses have identified heterogeneity in estrogen receptor (ER)-positive breast cancer. There are so-called luminal A and luminal B subtypes, and the characteristics, such as response to endocrine therapy and chemotherapy and prognosis, are different in these two subtypes of breast cancer. In this study, expression profiles of microRNAs (miRNAs) and mRNAs in ER-positive breast cancer tissues were compared between highly and incompletely endocrine responsive tumors by miRNA and mRNA microarrays. more...
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL13746
8 Samples
Download data: GPR
Series
Accession:
GSE38278
ID:
200038278
6.

Expression of microRNAs and their gene targets are dysregulated in pre-invasive breast cancer

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Other
Platforms:
GPL96 GPL10349
21 Samples
Download data: CEL, TXT
Series
Accession:
GSE24509
ID:
200024509
7.

Expression of microRNAs and their gene targets are dysregulated in pre-invasive breast cancer (microRNA)

(Submitter supplied) Introduction: microRNAs (miRNAs) are short non-coding RNAs that negatively regulate gene expression and may play a causal role in invasive breast cancer. Since many genetic aberrations of invasive disease are detectable in earlier stages, we hypothesized that miRNA expression dysregulation and the predicted changes in gene expression would also be found in early breast neoplasias. Methods: Expression profiling of 365 miRNAs by RT-qPCR was combined with laser-capture microdissection to obtain an epithelial specific miRNA expression signature of normal breast epithelium (n=9) and of paired samples of histologically normal epithelium (HN) and ductal carcinoma in situ (DCIS) (n=16). more...
Organism:
Homo sapiens
Type:
Other
Platform:
GPL10349
19 Samples
Download data: TXT
Series
Accession:
GSE24508
ID:
200024508
8.

Expression of microRNAs and their gene targets are dysregulated in pre-invasive breast cancer (mRNA)

(Submitter supplied) Introduction: microRNAs (miRNAs) are short non-coding RNAs that negatively regulate gene expression and may play a causal role in invasive breast cancer. Since many genetic aberrations of invasive disease are detectable in earlier stages, we hypothesized that miRNA expression dysregulation and the predicted changes in gene expression would also be found in early breast neoplasias. Methods: Expression profiling of 365 miRNAs by RT-qPCR was combined with laser-capture microdissection to obtain an epithelial specific miRNA expression signature of normal breast epithelium (n=9) and of paired samples of histologically normal epithelium (HN) and ductal carcinoma in situ (DCIS) (n=16). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL96
2 Samples
Download data: CEL
Series
Accession:
GSE24506
ID:
200024506
9.

Identification of differently expressed miRNAs between Tamoxifen sensitive cells and Tamoxifen resistant cells

(Submitter supplied) Tamoxifen is the most widely administered adjuvant first-line hormone therapy for Estrogen receptor α (ERα) positive breast cancer patients. However, one from three patients will develop resistance, while the underlying molecular mechanisms are currently unclear. Recent studies reported that abnormal expression of miRNAs played a role in cancer progress. To study the potential function of miRNAs in tamoxifen resistance, Affymetrix GeneChip® miRNA 3.0 microarray was employed to identify differentially expressed miRNAs between tamoxifen sensitive MCF7 parent (MCF7-Pa) cells and induced resistant (MCF7-Re) cells.
Organism:
Homo sapiens; synthetic construct
Type:
Non-coding RNA profiling by array
Platform:
GPL16384
2 Samples
Download data: CEL
Series
Accession:
GSE66607
ID:
200066607
10.

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
11.
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
12.

Clinical and biological impact of miR-18a expression in breast cancer after neoadjuvant chemotherapy

(Submitter supplied) Purpose The analysis of breast cancer residual tumors after neoadjuvant chemotherapy (nCT) may be useful for identifying new biomarkers. MicroRNAs are known to be involved in oncogenic pathways and treatment resistance of breast cancer. Our aim was to determine the role of miR-18a, a member of the miR-17-92a cluster, in breast cancer behavior and outcome after nCT. Methods Pre- and post-nCT tumor miR-18a expression was retrospectively assessed by qRT-PCR in 121 patients treated with nCT and was correlated with survival outcomes and with clinical and pathological characteristics. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL17692
12 Samples
Download data: CEL, CHP
Series
Accession:
GSE102121
ID:
200102121
13.

Next Generation Sequencing Facilitates Quantitative Analysis of miR-29b-1 and miR-29a targets in tamoxifen-sensitive and tamoxifen-resistant human breast cancer cells

(Submitter supplied) The goal of this experiment was to identify the putative mRNA targets of miR-29b-1 and miR-29a in LCC9 tamoxifen-resistant breast cancer cell lines relative to parental MCF-7 tamoxifen-sensitive cells
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
18 Samples
Download data: TXT
14.

Gene expression profiles of PDX models with acquired resistance to endocrine treatments

(Submitter supplied) Acquired resistance to endocrine therapy occurs with high frequency in patients with luminal breast cancer (LBC). We report here the establishment of four patient-derived xenograft models of LBC with acquired resistance in vivo to tamoxifen and estrogen deprivation.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL11532
30 Samples
Download data: CEL
Series
Accession:
GSE55561
ID:
200055561
15.

An integrative transcriptomics approach identifies miR-503 as a candidate master regulator of the estrogen response

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing
Platforms:
GPL16791 GPL11154
60 Samples
Download data: TXT
Series
Accession:
GSE78169
ID:
200078169
16.

An integrative transcriptomics approach identifies miR-503 as a candidate master regulator of the estrogen response [miRNA-seq]

(Submitter supplied) Estrogen receptor α (ERα) is an important biomarker of breast cancer severity and a common therapeutic target. Recent studies have demonstrated that in addition to its role in promoting proliferation, ERα also protects tumors against metastatic transformation. Current therapeutics antagonize ERα and interfere with both beneficial and detrimental signaling pathways stimulated by ERα. The goal of this study is to uncover the dynamics of coding and non-coding RNA (microRNA) expression in response to estrogen stimulation and identify potential therapeutic targets that more specifically inhibit ERα-stimulated growth and survival pathways without interfering with its protective features. more...
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by high throughput sequencing
Platform:
GPL11154
30 Samples
Download data: TXT
Series
Accession:
GSE78168
ID:
200078168
17.

An integrative transcriptomics approach identifies miR-503 as a candidate master regulator of the estrogen response [RNA-seq]

(Submitter supplied) Estrogen receptor α (ERα) is an important biomarker of breast cancer severity and a common therapeutic target. Recent studies have demonstrated that in addition to its role in promoting proliferation, ERα also protects tumors against metastatic transformation. Current therapeutics antagonize ERα and interfere with both beneficial and detrimental signaling pathways stimulated by ERα. The goal of this study is to uncover the dynamics of coding and non-coding RNA (microRNA) expression in response to estrogen stimulation and identify potential therapeutic targets that more specifically inhibit ERα-stimulated growth and survival pathways without interfering with its protective features. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
30 Samples
Download data: TXT
18.

PyMT 4 stages tumor progression microRNA sequencing

(Submitter supplied) We sequenced mammary gland samples of MMTV-PyMT mouse from 4 stages (hyperplasia at week 6, adenoma/MIN at week 8, early carcinoma at week 10, and late carcinoma with lung metastasis at week 12) during tumor progression.
Organism:
Mus musculus
Type:
Non-coding RNA profiling by high throughput sequencing
Platform:
GPL17021
24 Samples
Download data: CSV
Series
Accession:
GSE83189
ID:
200083189
19.

MicroRNA sequence and expression analysis in breast tumors by deep sequencing [mRNA expression array data]

(Submitter supplied) MicroRNAs (miRNAs) regulate many genes critical for tumorigenesis. We profiled miRNAs from 11 normal breast tissues, 17 non-invasive, 151 invasive breast carcinomas, and 6 cell lines by in-house-developed barcoded Solexa sequencing. miRNAs were organized in genomic clusters representing promoter-controlled miRNA expression and sequence families representing seed-sequence-dependent miRNA-target regulation. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL3676
161 Samples
Download data: TXT
Series
Accession:
GSE29174
ID:
200029174
20.

MicroRNA sequence and expression analysis in breast tumors by deep sequencing [miRNA sequence data]

(Submitter supplied) MicroRNAs (miRNAs) regulate many genes critical for tumorigenesis. We profiled miRNAs from 11 normal breast tissues, 17 non-invasive, 151 invasive breast carcinomas, and 6 cell lines by in-house-developed barcoded Solexa sequencing. miRNAs were organized in genomic clusters representing promoter-controlled miRNA expression and sequence families representing seed-sequence-dependent miRNA-target regulation. more...
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by high throughput sequencing
Platform:
GPL10999
245 Samples
Download data: TXT
Series
Accession:
GSE29173
ID:
200029173
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