Genomic instability influences the transcriptome and proteome in endometrial cancer subtypes

• Main Authors: Habermann Jens K, Bündgen Nana K, Gemoll Timo, Hautaniemi Sampsa, Lundgren Caroline, Wangsa Danny, Doering Jana, Bruch Hans-Peter, Nordstroem Britta, Roblick Uwe J, Jörnvall Hans, Auer Gert, Ried Thomas
• Format: Article
• Language: English
• Published: BMC 2011-10-01
• Series: Molecular Cancer
• Subjects: aneuploidy; endometrial carcinoma; genomic instability; comparative genomic hybridization; expression arrays; pathway analysis; UPSC
• Online Access: http://www.molecular-cancer.com/content/10/1/132

<p>Abstract</p> <p>Background</p> <p>In addition to clinical characteristics, DNA aneuploidy has been identified as a prognostic factor in epithelial malignancies in general and in endometrial cancers in particular. We mapped ploidy-associated chromosomal aberrations and identified corresponding gene and protein expression changes in endometrial cancers of different prognostic subgroups.</p> <p>Methods</p> <p>DNA image cytometry classified 25 endometrioid cancers to be either diploid (n = 16) or aneuploid (n = 9), and all uterine papillary serous cancers (UPSC) to be aneuploid (n = 8). All samples were subjected to comparative genomic hybridization and gene expression profiling. Identified genes were subjected to Ingenuity pathway analysis (IPA) and were correlated to protein expression changes.</p> <p>Results</p> <p>Comparative genomic hybridization revealed ploidy-associated specific, recurrent genomic imbalances. Gene expression analysis identified 54 genes between diploid and aneuploid endometrioid carcinomas, 39 genes between aneuploid endometrioid cancer and UPSC, and 76 genes between diploid endometrioid and aneuploid UPSC to be differentially expressed. Protein profiling identified AKR7A2 and ANXA2 to show translational alterations consistent with the transcriptional changes. The majority of differentially expressed genes and proteins belonged to identical molecular functions, foremost <it>Cancer, Cell Death</it>, and <it>Cellular Assembly and Organization</it>.</p> <p>Conclusions</p> <p>We conclude that the grade of genomic instability rather than the histopathological subtype correlates with specific gene and protein expression changes. The identified genes and proteins might be useful as molecular targets for improved diagnostic and therapeutic intervention and merit prospective validation.</p>