Abstract
Abstract High-grade osteosarcoma is a tumor with a complex genomic profile, occurring primarily in adolescents. The extensive genomic alterations obscure the identification of genes driving tumorigenesis in osteosarcoma progenitor cells. In order to identify such driver genes, we integrated DNA copy number profiles (Affymetrix SNP 6.0) of 32 diagnostic biopsies with 84 expression profiles (Illumina Human-6 v2.0) of osteosarcoma as compared with its putative progenitor cells, i.e. mesenchymal stem cells (n=12) or osteoblasts (n=3). In addition, we performed paired analyses between copy number and expression profiles of a subset of 29 patients for which we had both DNA and mRNA profiles. Integrative analyses were performed in Nexus Copy Number Software and statistical language R. Paired analyses were performed on all probes which were significantly differentially expressed in corresponding LIMMA analyses. For both non-paired and paired analyses, copy number aberration frequency was set to >35%. Non-paired integrative analyses resulted in 45 genes that were present in both analyses using different control sets, i.e. MSCs and osteoblasts. 101 genes overlapped between the two paired integrative analyses. Paired analyses detected >90% of all genes found with the corresponding non-paired analyses. Remarkably, approximately twice as many genes as found in the corresponding non-paired analyses were detected. Affected genes were compared with differential expression in osteosarcoma cell lines. An overrepresentation of altered cell division related genes was found, such as MCM4 and LATS2, suggesting that deregulation of the cell cycle is an initial driver of osteosarcomagenesis. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5128. doi:1538-7445.AM2012-5128
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