Identification of GRB2 and GAB1 Coexpression as an Unfavorable Prognostic Factor for Hepatocellular Carcinoma by a Combination of Expression Profile and Network Analysis

• DOI: 10.1371/journal.pone.0085170
• Publication Date: 2013-12-31T22:24:56Z
• Authors: Yanqiong Zhang; Zhiwei Li; Mei Yang; Danhua Wang; Lingxiang Yu; Chaonan Guo; Xiaodong Guo; Na Lin
• Keywords: GRB2

AimTo screen novel markers for hepatocellular carcinoma (HCC) by a combination of expression profile, interaction network analysis and clinical validation. MethodsHCC significant molecules which are differentially expressed or had genetic variations in HCC tissues were obtained from five existing related databases (OncoDB.HCC, HCC.net, dbHCCvar, EHCO Liverome). Then, the protein-protein (PPI) these was constructed. Three topological features ('Degree', 'Betweenness', 'Closeness') k-core algorithm used to candidate play crucial roles tumorigenesis HCC. Furthermore, significance two growth factor receptor-bound 2 (GRB2) GRB2-associated-binding protein 1 (GAB1) validated. ResultsIn total, 6179 genes 977 proteins collected databases. After analysis, 331 identified. Especially, GAB1 has highest k-coreness suggesting its central localization network, between GRB2 largest edge-betweenness implying it may be biologically important function network. As results validation, levels both significantly higher than those their adjacent nonneoplastic tissues. More importantly, combined associated with aggressive tumor progression poor prognosis patients ConclusionThis study provided an integrative combining profile identify list pathways. Further experimental validation indicated that aberrant strongly The overexpression upregulation unfavorable prognostic