These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Protein-protein interaction networks and modules analysis for colorectal cancer and serrated adenocarcinoma.
    Author: Yu H, Ye L, Wang J, Jin L, Lv Y, Yu M.
    Journal: J Cancer Res Ther; 2015; 11(4):846-51. PubMed ID: 26881529.
    Abstract:
    PURPOSE: To screen key modules and explore the potential mechanism of conventional colorectal cancer (CRC) and colorectal serrated adenocarcinoma (SAC). MATERIALS AND METHODS: The microarray data of GSE36758 and GSE8671 were downloaded from Gene Expression Omnibus database. The differentially expressed genes (DEGs) in SAC versus colon carcinoma (CC) and CC versus normal control (NC) group were analyzed and the protein-protein interaction (PPI) networks for DEGs were constructed. The modules of PPI networks were further analyzed and the function enrichment analysis of all enrolled DEGs was carried out based on ToppGene database. RESULTS: Total eight DEGs (SAC vs. CC) and 445 DEGs (CC vs. NC) were extracted based on the gene expression profile of GSE36758 and GSE8671, respectively. Total three PPI networks were constructed with DEGs in CC versus NC, SAC versus CC group, and DEGs in both two groups. Three modules were extracted from the PPI network of CC versus NC. Meanwhile, three modules were extracted from the network of DEGs in both two groups. Function enrichment analysis showed that DEGs involved in these modules were mainly associated with cellular activities. CONCLUSION: DEGs in modules of SAC and CRC were mainly involved in cellular activities pathways. The PPI networks and modules might contribute to the further study of pathogenesis for CRC and SAC based on the molecular level.
    [Abstract] [Full Text] [Related] [New Search]