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Links from GEO DataSets

Items: 20

1.

Gene-expression profile of breast cancer cell lines and sorted breast cancer epithelial cells

(Submitter supplied) Most of the breast cancer samples used in clinical research contain multiple cell types other than epithelial cells alone. The non-epithelial cell types have have a substantial effect on the gene expression-profile, which is used to define molecular subtypes of the tumours. The purpose of this data set is to retrieve gene-expression profile within tumour epithelial cells. We collected 9 breast cancer epithelial cell lines and 5 tumour sampes from which epithelial cells were sorted and enriched using BerEp4 antibody coated beads. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
14 Samples
Download data: CEL
Series
Accession:
GSE23640
ID:
200023640
2.

Basal-like phenotype is not associated with patient survival in estrogen receptor negative breast cancers

(Submitter supplied) INTRODUCTION: Basal-phenotype or basal-like breast cancers are characterized by basal epithelium cytokeratin (CK5/14/17) expression, negative estrogen receptor (ER) status and distinct gene expression signature. We studied the clinical and biological features of the basal-phenotype tumors determined by immunohistochemistry (IHC) and cDNA microarrays especially within the ER-negative subgroup. METHODS: IHC was used to evaluate the CK5/14 status of 445 stage II breast cancers. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL3883
100 Samples
Download data: GPR
Series
Accession:
GSE6768
ID:
200006768
3.

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
4.

Gene profile of breast cancers with immunohistochemical phenotypes of ER+/- and/or HER2+/-

(Submitter supplied) Hormones and growth factors accelerate cell proliferation of breast cancer cells, and these molecules are well investigated targets for drug development and application. The mechanisms of cell proliferation of breast cancers lacking estrogen receptor (ER) and HER2 have not been fully understood. The purpose of the present study is to find genes that are differentially expressed in breast cancers and that might significantly contribute to cell proliferation in these cancers. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL8300
40 Samples
Download data: CEL, XLSX
Series
Accession:
GSE6367
ID:
200006367
5.

Endocrine Sensitivity Index Validation Dataset

(Submitter supplied) Validation dataset of 298 ER-positive patients treated with tamoxifen for 5 years. All patients in this dataset have ER+ breast cancer and were uniformly treated with tamoxifen for 5 years. The objective of the study was to correlate levels of genomic markers to outcomes (relapse free survival) in this cohort of uniformly treated patients.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL96
298 Samples
Download data: CEL
Series
Accession:
GSE17705
ID:
200017705
6.

Factorial study for evaluating the effect of Affy platform and lab on gene expression measurements

(Submitter supplied) Comparison of concordance in single and multi-gene genomic indices from data generated by two different laboratories (MD Anderson Cancer Center (MDA) and Jules Bordet Institute (JBI)) and on two different Affymetrix platforms (U113A and U133_Plus2). We used a 2x2 factorial study in which 16 clinical breast cancer samples were profiled by both laboratories on both platforms (64 arrays total).
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL570 GPL96
64 Samples
Download data: CEL
Series
Accession:
GSE17700
ID:
200017700
7.

A gene expression signature predicting the recurrence of tamoxifen-treated primary breast cancer.

(Submitter supplied) A 36-gene classifier was constructed through expression profiling of 132 tumors from tamoxifen-treated patients using 70-mer oligonucleotide microarrays. The robustness of the signature was demonstrated using expression data from 83 independent tumors. The 36-gene signature was (i) more efficient to predict disease-free survival than the traditional histo-pathological prognostic factors, (ii) as effective as the Nottingham Prognostic Index or the "Adjuvant!" software, and (iii) the only independent prognostic factor. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5049
155 Samples
Download data: GPR, TXT
Series
Accession:
GSE9893
ID:
200009893
8.

Expression data from paired matched breast cancer Fine needle aspiration (FNA) or Core needle biopsies (CBX)

(Submitter supplied) Paired FNA and CBX specimens were prospectively collected from 37 breast cancers before any systemic therapy during a biomarker discovery study at The University of Texas M. D. Anderson Cancer Center. We identified 293 probe sets overexpressed in core biopsies; these included five highly coexpressed gene clusters (metagenes) corresponding to immune functions and extracellular matrix components. We compared gene expression profiles of pairs of fine-needle (stroma-poor) and core-needle (stroma-rich) biopsies from 37 cancers to identify stroma-associated genes
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL96
74 Samples
Download data: CEL, TXT
Series
Accession:
GSE32518
ID:
200032518
9.

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
10.

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
11.

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
12.
Full record GDS807

Estrogen positive breast cancer recurrence during tamoxifen therapy: microdissected tumor

Expression profiling of microdissected estrogen positive primary breast cancer tumors from 60 patients. Patients later treated with tamoxifen for 5 years, and tumors grouped according to whether cancer recurred. Results identify markers of disease-free survival that include HOXB13 and IL17BR.
Organism:
Homo sapiens
Type:
Expression profiling by array, log ratio, 2 disease state sets
Platform:
GPL1223
Series:
GSE1378
60 Samples
Download data
13.

Hyperactivation of PI3K promotes escape from hormone dependence in estrogen receptor-positive breast cancer

(Submitter supplied) Hyperactivation of phosphatidylinositol-3 kinase (PI3K) promotes escape from hormone dependence in estrogen receptor-positive breast cancer. A significant fraction of breast cancers exhibit de novo or acquired resistance to estrogen deprivation. We used gene expression microarrays to identify genes and pathways that are commonly dysregulated in ER+ cell lines with acquired hormone-independent growth. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
24 Samples
Download data: CEL, CHP
Series
Accession:
GSE19639
ID:
200019639
14.

aCGH data from age-dichotomized ER+ breast tumors

(Submitter supplied) To investigate the biological basis between aging and sporadic breast cancer incidence and prognosis, DNA samples from matched ER+ invasive breast cancers diagnosed in either young (<45) or old (>70) women were analyzed with aCGH Keywords: biomarker identification
Organism:
Homo sapiens
Type:
Genome variation profiling by genome tiling array
Platform:
GPL4999
71 Samples
Download data: XLS
Series
Accession:
GSE8801
ID:
200008801
15.

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
16.

A nested case-control study to investigate drivers for metastatic disease in breast cancer

(Submitter supplied) The purpose of this study was to improve prediction of patients at high-risk for metastatic disease utilizing a nested case-control design that uniquely enables enrichment for relevant phenotypes. We identified all women diagnosed with primary breast cancer from January 1, 1997, to December 31, 2005, in the Stockholm health care region. Patients developing distant metastatic disease (cases) were selected and controls (free from distant disease) were randomly matched by adjuvant therapy, age and calendar period at diagnosis. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10379
623 Samples
Download data: CEL
Series
Accession:
GSE48091
ID:
200048091
17.

Phosphatome profiling of estrogen receptor negative breast cancer

(Submitter supplied) Purpose: To characterize the expression of phosphatases in estrogen receptor negative breast cancer Little is known about the role of phosphatases in the major estrogen receptor negative breast cancer phenotypes (i.e. those overexpressing ERBB2 and the triple negative). We carried out microarray phosphatome profiling in 41 estrogen receptor negative (ER-) breast cancer patients (as determined by immunohistochemistry (IHC)) containing both ERBB2+ and ERBB2- in order to characterize the differences between these groups by Statistical Analysis of Microarrays (SAM). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL4133
41 Samples
Download data: TXT
Series
Accession:
GSE51999
ID:
200051999
18.

Spatial transcriptomics reveals functional compartmentalization of estrogen receptor positive (ER+) breast cancer

(Submitter supplied) Intratumor heterogeneity is one of the hallmarks of cancers, including breast cancers. We performed spatial transcriptomics to profile heterogeneous cell populations within ER+ breast cancers as well as to determine their importance for estrogen-dependent tumor growth. Our analysis has revealed the key functional compartments for developing targeted therapeutic strategies against ER+ breast cancers.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
4 Samples
Download data: CSV, JPG, JSON, MTX, PNG, TSV
Series
Accession:
GSE214571
ID:
200214571
19.

Characterization of a luminal breast cancer patient-derived xenograft (PDX) via single-cell RNA-sequencing (scRNA-seq)

(Submitter supplied) Luminal breast cancers are characterized by estrogen-regulated gene profiles. We performed scRNA-seq on a luminal breast cancer PDX named GS1 to profile the gene expression of the cells constituting GS1 tumor and to investigate the effect of estrogen on the individual populations.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
3 Samples
Download data: MTX, TSV
Series
Accession:
GSE213733
ID:
200213733
20.

EPRS is a Critical Regulator of Cell Proliferation and Estrogen Signaling in ER+ Breast Cancer

(Submitter supplied) Aminoacyl tRNA synthetases (ARSs) are a class of enzymes with well-conserved housekeeping functions in cellular translation. Recent evidence suggests that ARS genes may participate in a wide array of cellular processes, and may contribute to the pathology of autoimmune disease, cancer, and other diseases. Several studies have suggested a role for the glutamyl prolyl tRNA synthetase (EPRS) in breast cancers, although none has demonstrated any underlying mechanism about how EPRS contributes to carcinogenesis. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
12 Samples
Download data: TXT
Series
Accession:
GSE81162
ID:
200081162
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