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Dataset Information

High-resolution analysis of copy number alterations and associated expression changes in ovarian tumors.


ABSTRACT:

Background

DNA copy number alterations are frequently observed in ovarian cancer, but it remains a challenge to identify the most relevant alterations and the specific causal genes in those regions.

Methods

We obtained high-resolution 500K SNP array data for 52 ovarian tumors and identified the most statistically significant minimal genomic regions with the most prevalent and highest-level copy number alterations (recurrent CNAs). Within a region of recurrent CNA, comparison of expression levels in tumors with a given CNA to tumors lacking that CNA and to whole normal ovary samples was used to select genes with CNA-specific expression patterns. A public expression array data set of laser capture micro-dissected (LCM) non-malignant fallopian tube epithelia and LCM ovarian ser

SUBMITTER: Haverty PM 

PROVIDER: S-EPMC2694826 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature