%0 Journal Article
%T Protein Kinase C Epsilon and Genetic Networks in Osteosarcoma Metastasis
%A Atta Goudarzi
%A Nalan Gokgoz
%A Mona Gill
%A Dushanthi Pinnaduwage
%A Daniele Merico
%A Jay S. Wunder
%A Irene L. Andrulis
%J Cancers
%D 2013
%I MDPI AG
%R 10.3390/cancers5020372
%X Osteosarcoma (OS) is the most common primary malignant tumor of the bone, and pulmonary metastasis is the most frequent cause of OS mortality. The aim of this study was to discover and characterize genetic networks differentially expressed in metastatic OS. Expression profiling of OS tumors, and subsequent supervised network analysis, was performed to discover genetic networks differentially activated or organized in metastatic OS compared to localized OS. Broad trends among the profiles of metastatic tumors include aberrant activity of intracellular organization and translation networks, as well as disorganization of metabolic networks. The differentially activated PRKC¦Ĺ-RASGRP3-GNB2 network, which interacts with the disorganized DLG2 hub, was also found to be differentially expressed among OS cell lines with differing metastatic capacity in xenograft models. PRKC¦Ĺ transcript was more abundant in some metastatic OS tumors; however the difference was not significant overall. In functional studies, PRKC¦Ĺ was not found to be involved in migration of M132 OS cells, but its protein expression was induced in M112 OS cells following IGF-1 stimulation.
%K osteosarcoma
%K metastasis
%K expression profiling
%K network analysis
%K Dynemo
%K protein kinase C epsilon
%U http://www.mdpi.com/2072-6694/5/2/372