Gene expression profiling predicts a three-gene expression signature of endometrial adenocarcinoma in a rat model.

ABSTRACT:

Background

In the Western world, endometrial cancers are the most common gynaecological neoplastic disorders among women. Initial symptoms are often vague and may be confused with several other conditions or disorders. Thus, there is a need for an easy and reliable diagnostic tool. The objective of this work was to identify a gene expression signature specific for endometrial adenocarcinomas to be used for testing potential endometrial biomarkers.

Results

Changes in expression between endometrial adenocarcinomas and non-/pre-malignant endometrium from the BDII EAC rat model were compared in cDNA microarray assays. By employing classification analysis (Weka) on the expression data from approximately 5600 cDNA clones and TDT analysis on genotype data, we identified a three-gen

SUBMITTER: Karlsson S 

PROVIDER: S-EPMC2687412 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature