Jump to main content
Jump to site search

Issue 11, 2013
Previous Article Next Article

Identification of hepatocellular carcinoma related genes with k-th shortest paths in a proteinprotein interaction network

Author affiliations

Abstract

Hepatocellular carcinoma (HCC) is the most common type of liver cancer worldwide and one of the deadliest cancers in Asia. But at present, effective targets for HCC clinical therapy are still limited. The “guilt by association” rule suggests that interacting proteins share the same or similar functions and hence may be involved in the same pathway. This assumption can be used to identify disease related genes from protein association networks constructed from existing PPI data. Given the close association between Hepatitis B virus and Hepatitis B which may lead to HCC, here we develop a computational method to identify hepatocellular carcinoma related genes based on k-th shortest paths in the proteinprotein interaction (PPI) network (we set k = 1, 2 in this study). Finally, we found 33 genes whose p-values were less than 0.05, and most of them have been reported to be involved in HCC tumorigenesis and development. The results also provide a new reference for research into HCC oncogenesis and for development of new strategies for HCC clinical therapies.

Graphical abstract: Identification of hepatocellular carcinoma related genes with k-th shortest paths in a protein–protein interaction network

Back to tab navigation

Supplementary files

Publication details

The article was received on 06 Mar 2013, accepted on 11 Aug 2013 and first published on 12 Aug 2013


Article type: Paper
DOI: 10.1039/C3MB70089E
Citation: Mol. BioSyst., 2013,9, 2720-2728
  •   Request permissions

    Identification of hepatocellular carcinoma related genes with k-th shortest paths in a proteinprotein interaction network

    M. Jiang, Y. Chen, Y. Zhang, L. Chen, N. Zhang, T. Huang, Y. Cai and X. Kong, Mol. BioSyst., 2013, 9, 2720
    DOI: 10.1039/C3MB70089E

Search articles by author

Spotlight

Advertisements