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http://purl.uniprot.org/citations/24391994http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://purl.uniprot.org/core/Journal_Citation
http://purl.uniprot.org/citations/24391994http://www.w3.org/2000/01/rdf-schema#comment"

Aim

To screen novel markers for hepatocellular carcinoma (HCC) by a combination of expression profile, interaction network analysis and clinical validation.

Methods

HCC significant molecules which are differentially expressed or had genetic variations in HCC tissues were obtained from five existing HCC related databases (OncoDB.HCC, HCC.net, dbHCCvar, EHCO and Liverome). Then, the protein-protein interaction (PPI) network of these molecules was constructed. Three topological features of the network ('Degree', 'Betweenness', and 'Closeness') and the k-core algorithm were used to screen candidate HCC markers which play crucial roles in tumorigenesis of HCC. Furthermore, the clinical significance of two candidate HCC markers growth factor receptor-bound 2 (GRB2) and GRB2-associated-binding protein 1 (GAB1) was validated.

Results

In total, 6179 HCC significant genes and 977 HCC significant proteins were collected from existing HCC related databases. After network analysis, 331 candidate HCC markers were identified. Especially, GAB1 has the highest k-coreness suggesting its central localization in HCC related network, and the interaction between GRB2 and GAB1 has the largest edge-betweenness implying it may be biologically important to the function of HCC related network. As the results of clinical validation, the expression levels of both GRB2 and GAB1 proteins were significantly higher in HCC tissues than those in their adjacent nonneoplastic tissues. More importantly, the combined GRB2 and GAB1 protein expression was significantly associated with aggressive tumor progression and poor prognosis in patients with HCC.

Conclusion

This study provided an integrative analysis by combining expression profile and interaction network analysis to identify a list of biologically significant HCC related markers and pathways. Further experimental validation indicated that the aberrant expression of GRB2 and GAB1 proteins may be strongly related to tumor progression and prognosis in patients with HCC. The overexpression of GRB2 in combination with upregulation of GAB1 may be an unfavorable prognostic factor for HCC."xsd:string
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http://purl.uniprot.org/citations/24391994http://purl.uniprot.org/core/author"Guo X."xsd:string
http://purl.uniprot.org/citations/24391994http://purl.uniprot.org/core/author"Li Z."xsd:string
http://purl.uniprot.org/citations/24391994http://purl.uniprot.org/core/author"Guo C."xsd:string
http://purl.uniprot.org/citations/24391994http://purl.uniprot.org/core/author"Wang D."xsd:string
http://purl.uniprot.org/citations/24391994http://purl.uniprot.org/core/author"Zhang Y."xsd:string
http://purl.uniprot.org/citations/24391994http://purl.uniprot.org/core/author"Yang M."xsd:string
http://purl.uniprot.org/citations/24391994http://purl.uniprot.org/core/author"Yu L."xsd:string
http://purl.uniprot.org/citations/24391994http://purl.uniprot.org/core/author"Lin N."xsd:string
http://purl.uniprot.org/citations/24391994http://purl.uniprot.org/core/date"2013"xsd:gYear
http://purl.uniprot.org/citations/24391994http://purl.uniprot.org/core/name"PLoS One"xsd:string
http://purl.uniprot.org/citations/24391994http://purl.uniprot.org/core/pages"e85170"xsd:string
http://purl.uniprot.org/citations/24391994http://purl.uniprot.org/core/title"Identification of GRB2 and GAB1 coexpression as an unfavorable prognostic factor for hepatocellular carcinoma by a combination of expression profile and network analysis."xsd:string
http://purl.uniprot.org/citations/24391994http://purl.uniprot.org/core/volume"8"xsd:string
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