Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Blood based gene expression signature for diagnosis of epithelial ovarian cancer


ABSTRACT: Objective: The immune system is a key player in fighting cancer. Thus, we seeked to identify a molecular ‘immune response signature’ indicating the presence of epithelial ovarian cancer (EOC) and to combine this with a serum protein biomarker panel to increase the specificity and sensitivity for earlier detection of EOC. Methods: Comparing the expression of 32,000 genes in a leukocytes fraction from 48 EOC patients and 20 controls, three uncorrelated shrunken centroid models were selected, comprised of 7, 14, and 6 genes. A second selection step using RT-qPCR data and significance analysis of microarrays yielded 13 genes which were finally used in 343 samples (90 healthy, 6 cystadenoma, 8 low malignant potential tumor, and 239 EOC patients). Using new 65 controls and 224 EOC patients the

ORGANISM(S): Homo sapiens

SUBMITTER: Dietmar Pils 

PROVIDER: E-GEOD-31682 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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