Global gene expression profiling of a mouse model of ovarian clear cell carcinoma caused by ARID1A and PIK3CA mutations implicates a role for inflammatory cytokine signaling

Ronald L Chandler; Jesse R Raab; Mike Vernon; Terry Magnuson; Jonathan C Schisler

doi:10.1016/j.gdata.2015.06.027

Global gene expression profiling of a mouse model of ovarian clear cell carcinoma caused by ARID1A and PIK3CA mutations implicates a role for inflammatory cytokine signaling

Genom Data. 2015 Jul 14:5:329-32. doi: 10.1016/j.gdata.2015.06.027. eCollection 2015 Sep.

Authors

Ronald L Chandler¹, Jesse R Raab¹, Mike Vernon², Terry Magnuson¹, Jonathan C Schisler³

Affiliations

¹ Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA ; Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
² Functional Genomics Core, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
³ Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA ; McAllister Heart Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA ; Department of Pharmacology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

Abstract

Ovarian clear-cell carcinoma (OCCC) is an aggressive form of epithelial ovarian cancer (EOC). OCCC represents 5-25% of all EOC incidences and is the second leading cause of death from ovarian cancer (Glasspool and McNeish, 2013) [1]. A recent publication by Chandler et al. reported the first mouse model of OCCC that resembles human OCCC both genetically and histologically by inducing a localized deletion of ARID1A and the expression of the PIK3CA(H1047R) substitution mutation (Chandler et al., 2015) [2]. We utilized Affymetrix Mouse Gene 2.1 ST arrays for the global gene expression profiling of mouse primary OCCC tumor samples and animal-matched normal ovaries to identify cancer-dependent gene expression. We describe the approach used to generate the differentially expressed genes from the publicly available data deposited at the Gene Expression Omnibus (GEO) database under the accession number GSE57380. These data were used in cross-species comparisons to publically available human OCCC gene expression data and allowed the identification of coordinately regulated genes in both mouse and human OCCC and supportive of a role for inflammatory cytokine signaling in OCCC pathogenesis (Chandler et al., 2015) [2].

Keywords: ARID1A, PIK3CA; Microarray, Gene expression, Ovarian clear-cell carcinoma.

Abstract

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