Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Gene expression signatures in breast cancer distinguish phenotype charact., histological subtypes, and tumor invasivness


ABSTRACT: Background. The development of reliable gene expression profiling technology is having an increasing impact on our understanding of breast cancer biology. Methods. In this study, microarray analysis was performed in order to establish gene signatures for different breast cancer phenotypes, determine differentially expressed gene sequences at different stages of the disease, and identify sequences with biological significance for tumor progression. Samples were taken from patients before their treatment. After microarray analysis, the expression level of 153 selected genes was studied by qPCR. Results. A number of gene sequences were differentially expressed in tumor versus control samples and were also associated with different breast cancer phenotypes, ER status, tumor histology, and gra

ORGANISM(S): Homo sapiens

SUBMITTER: Mª Esther Farez-Vidal 

PROVIDER: E-GEOD-10810 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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