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Meta‐analysis of gene expression profiles associated with histological classification and survival in 829 ovarian cancer samples

19 Aug 2011

Abstract excerpt

Transcriptomic analysis of global gene expression in ovarian carcinoma can identify dysregulated genes capable to serve as molecular markers for histology subtypes and survival. The aim of our study was to validate previous candidate signatures in an independent setting and to identify single genes capable to serve as biomarkers for ovarian cancer progression. As several datasets are available in the GEO today,...

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PMID: 21858809
DOI: 10.1002/ijc.26364

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