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. We further propose a method for the inference of cutoff values directly from the data without prior knowledge of the true result. The cutoffs derived by this method displayed high specificity and sensitivity. Markers with a bimodal distribution like ER, PgR, and HER2 discriminate different biological subtypes of disease with distinct clinical courses. In contrast, markers displaying a continuous distribution like proliferation markers as Ki67 rather describe the composition of the mixture of cells in the tumor.
Data-driven derivation of cutoffs from a pool of 3,030 Affymetrix arrays to stratify distinct clinical types of breast cancer.
Sex, Specimen part
View SamplesGene expression profiling of surgical biopsies from 74 breast cancer patients of different subtypes from Hamburg dataset.
Prognostic relevance of glycosylation-associated genes in breast cancer.
Sex, Specimen part
View SamplesCurrent 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.
A clinically relevant gene signature in triple negative and basal-like breast cancer.
Specimen part
View SamplesThe purpose of this study was to characterize the transcriptional effects induced by subcutaneous IFN-beta-1b treatment (Betaferon, 250 g every other day) in patients with relapsing-remitting form of multiple sclerosis (MS).
Long-term genome-wide blood RNA expression profiles yield novel molecular response candidates for IFN-beta-1b treatment in relapsing remitting MS.
Sex
View SamplesThis SuperSeries is composed of the SubSeries listed below.
No associated publication
Specimen part
View SamplesGene expression profile comparison from fibroblasts of Huntington individuals and normal ones
Gene expression profile in fibroblasts of Huntington's disease patients and controls.
Sex, Age, Specimen part, Disease
View SamplesComparison of the differential expression mRNA profiles from the brain cortex of hypoxia and normaixa rats by silica microarray chip
No associated publication
Specimen part
View SamplesBone mineral density and structure candidate gene analysis in alcohol-non-preferring (NP), alcohol-preferring (P), congenic NP (NP.P) and congenic P (P.NP) rats
Identification of genes influencing skeletal phenotypes in congenic P/NP rats.
No sample metadata fields
View SamplesFemoral neck bone mineral density and structure candidate gene analysis in Fischer 344 (F344) and Lewis (LEW) rats
Genomic expression analysis of rat chromosome 4 for skeletal traits at femoral neck.
No sample metadata fields
View SamplesGene expression was measured using microarrays in 8 hour postfertilization embryos, comparing control versus ethanol-treated (2 to 8 hours postfertilization) embryos. This experiment was performed to determine the gene expression changes that occur in response to ethanol treatment as a model of fetal alcohol spectrum disorder.
Ethanol exposure disrupts extraembryonic microtubule cytoskeleton and embryonic blastomere cell adhesion, producing epiboly and gastrulation defects.
Age, Specimen part, Treatment
View Samples