Screening of feature genes of the ovarian cancer epithelia with DNA microarray.

ABSTRACT:

Objective

We aimed to screen differentially expressed genes (DEGs) of ovarian surface epithelia in order to provide beneficial help for early diagnosis and treatment of ovarian cancer with DNA microarrays.

Methods

We extracted the microarray expression profile GSE14407 from Gene Expression Omnibus database which conducted gene expression profiling analysis of 12 ovarian surface epithelia (OSE) and 12 laser capture microdissected serous ovarian cancer epithelia (CEPI) samples. The DEGs between OSE and CEPI were identified by Limma package of R language. Cluster analysis was employed to compare the differences of gene expression patterns between OSE and CEPI. Furthermore, DEGs were analyzed with Functional classification tool, GenMAPP software and GENECODIS.

Results

We

SUBMITTER: Ying H 

PROVIDER: S-EPMC3683326 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature