GEO DataSets

(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

(Submitter supplied) The behavior of breast cancers and their response to neoadjuvant systemic therapy depend on their phenotype which is to a large extent determined by gene expression programs within the cancer cell. The purpose of the analysis was to compare matched gene expression profiles of pretreatment cancer with post-neoadjuvant systemic therapy, residual cancer.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

50 Samples

Download data: CEL

(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

(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

(Submitter supplied) Pooling of microarray datasets seems to be a reasonable approach to increase sample size when a heterogeneous disease like breast cancer is concerned. Different methods for the adaption of datasets have been used in the literature. We have analyzed influences of these strategies using a pool of 3,030 Affymetrix U133A microarrays from breast cancer samples. We present data on the resulting concordance with biochemical assays of well known parameters and highlight critical pitfalls. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

218 Samples

Download data: CEL

(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

(Submitter supplied) This is Phase II Trial of 4courses of 5-fluorouracil, doxorubicin and cyclophosphamide follwed by 4 additional courses of weekly docetaxel and capecitabine administered as Preoperative Therapy for Patients with Locally Advanced Breast Cancer, Stages II and III by US oncology (PROTOCOL 02-103) We performed gene set analysis (GSA) using functionally annotated gene sets corresponding to almost all known biological processes in ER-positive/HER2negative and ER-negative/HER2-negative breast cancer, respectively.

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4056

Platform:

GPL96

61 Samples

Download data: CEL

(Submitter supplied) We assess if distinct biological processes might be associated with chemotherapy sensitivity in the different clinical subsets of breast cancers. We performed gene set analysis (GSA) using functionally annotated gene sets corresponding to almost all known biological processes in ER-positive/HER2negative and ER-negative/HER2-negative breast cancer, respectively.

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4057

Platform:

GPL96

103 Samples

Download data: CEL

Analysis of pre-treatment biopsies from 103 HER2-normal breast cancer patients (ER-positive and ER-negative subtypes) from MD Anderson Cancer Center/Institut Goustave Russy. Results provide insight into molecular mechanisms associated with chemotherapy sensitivity in breast cancer subtypes.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 6 disease state, 3 genotype/variation, 3 other, 4 specimen sets

Platform:

GPL96

Series:

GSE22093

103 Samples

Download data: CEL

Analysis of pre-treatment biopsies from 62 HER2-normal breast cancer patients (ER-positive and ER-negative subtypes) from US Oncology clinical trial 02103. Results provide insight into molecular mechanisms associated with chemotherapy sensitivity in breast cancer subtypes.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 3 disease state, 2 genotype/variation, 2 other, 4 specimen sets

Platform:

GPL96

Series:

GSE23988

61 Samples

Download data: CEL

(Submitter supplied) We identified and validated the pivotal role for a metagene containing IFN-induced genes in association to higher metastatic potential as a function of the specific molecular subtype

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6884

123 Samples

Download data: TXT

(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

(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

(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

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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

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(Submitter supplied) Current prognostic gene expression profiles for breast cancer mainly reflect proliferation status and are most useful in ER-positive cancers. Triple-negative breast cancers (TNBCs) are clinically heterogeneous, and prognostic markers and biology-based therapies are needed to better treat this disease. We assembled Affymetrix gene expression data for 579 TNBCs and performed unsupervised analysis to define metagenes that distinguish molecular subsets within TNBC. more...

Organism:

Homo sapiens

Type:

Expression profiling by array; Third-party reanalysis

Platform:

GPL96

67 Samples

Download data: CEL, TXT

(Submitter supplied) The prognosis of a patient with Estrogen Receptor (ER) and/or Progesterone Receptor (PR)-positive breast cancer is highly variable. Therefore, we developed a gene-expression based outcome predictor for ER+ and/or PR+ (i.e. Luminal) breast cancer patients using biological properties of the tumors. First, we identified estrogen-regulated genes using the ER+ MCF-7 breast cancer cell line treated with estrogen. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

4 related Platforms

174 Samples

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(Submitter supplied) Estrogen receptor (ER) expression and proliferative activity are established prognostic factors in breast cancer. In a search for additional prognostic motives we analyzed the gene expression patterns of 200 tumors of patients who were not treated by systemic therapy after surgery using a discovery approach. After performing hierarchical cluster analysis, we identified co-regulated genes related to the biological process of proliferation, steroid hormone receptor expression, as well as B cell and T cell infiltration. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

200 Samples

Download data: CEL

(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

(Submitter supplied) Introduction: A gene expression signature indicative of active wound responses is common to more than 90% of non-neoplastic tissues adjacent to breast cancer, but these tissues also show substantial heterogeneity, suggesting different microenvironmental subtypes. Genomic variation in the extratumoral microenvironment has received limited study. Methods: Gene expression analysis from 72 patient-derived samples adjacent to invasive breast cancer or ductal carcinoma in situ was evaluated. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

5 related Platforms

74 Samples

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