Zheng, S. Y., Tansey, W. P., Hiebert, S. W., Zhao, Z. M. (August 2011) Integrative network analysis identified key genes and pathways in the progression of hepatitis C virus induced hepatocellular carcinoma. BMC Medical Genomics, 4 (62). ISSN 1755-8794
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Abstract
Background: Incidence of hepatitis C virus (HCV) induced hepatocellular carcinoma (HCC) has been increasing in the United States and Europe during recent years. Although HCV-associated HCC shares many pathological characteristics with other types of HCC, its molecular mechanisms of progression remain elusive. Methods: To investigate the underlying pathology, we developed a systematic approach to identify deregulated biological networks in HCC by integrating gene expression profiles with high-throughput protein-protein interaction data. We examined five stages including normal (control) liver, cirrhotic liver, dysplasia, early HCC and advanced HCC. Results: Among the five consecutive pathological stages, we identified four networks including precancerous networks (Normal-Cirrhosis and Cirrhosis-Dysplasia) and cancerous networks (Dysplasia-Early HCC, Early-Advanced HCC). We found little overlap between precancerous and cancerous networks, opposite to a substantial overlap within precancerous or cancerous networks. We further found that the hub proteins interacted with HCV proteins, suggesting direct interventions of these networks by the virus. The functional annotation of each network demonstrates a high degree of consistency with current knowledge in HCC. By assembling these functions into a module map, we could depict the stepwise biological functions that are deregulated in HCV-induced hepatocarcinogenesis. Additionally, these networks enable us to identify important genes and pathways by developmental stage, such as LCK signalling pathways in cirrhosis, MMP genes and TIMP genes in dysplastic liver, and CDC2-mediated cell cycle signalling in early and advanced HCC. CDC2 (alternative symbol CDK1), a cell cycle regulatory gene, is particularly interesting due to its topological position in temporally deregulated networks. Conclusions: Our study uncovers a temporal spectrum of functional deregulation and prioritizes key genes and pathways in the progression of HCV induced HCC. These findings present a wealth of information for further investigation.
| Item Type: | Paper |
|---|---|
| Uncontrolled Keywords: | united-states ns3 protein expression cancer infection kinase target transcriptome maintenance association |
| Subjects: | diseases & disorders > cancer bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification diseases & disorders bioinformatics > genomics and proteomics > genetics & nucleic acid processing bioinformatics > genomics and proteomics bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function |
| CSHL Authors: | |
| Communities: | CSHL labs > Tansey lab |
| Depositing User: | Matt Covey |
| Date: | 8 August 2011 |
| Date Deposited: | 05 Feb 2013 16:55 |
| Last Modified: | 05 Feb 2013 16:55 |
| PMCID: | PMC3212927 |
| Related URLs: | |
| URI: | https://repository.cshl.edu/id/eprint/27209 |
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