• DocumentCode
    3262430
  • Title

    Analysis of the Signal Transduction Network Characteristics of Non-small Cell Lung Cancer

  • Author

    Liu, Gui-Zhong

  • Author_Institution
    Dept. of Phys., Dezhou Univ., Dezhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    421
  • Lastpage
    425
  • Abstract
    Drafting the topological graph of the transduction network characteristics of non-small cell lung cancer signal by Pajek software, analyzing the characteristic quantities such as node degree, clustering coefficient and betweens that construct the complicated system, seeking the key regulating locus (or the local regulating center) that regulates the proliferation and apoptosis of tumor cells, utilizing the regulating system of signal transduction will declare the apoptosis-induced local regulating center to be mostly FADD, Cytc, P53 and CASP3, CASP8, CASP7 , CASP9 of the caspase family, the apoptosis-resistant local regulating center to be mostly PI3K PKB/Akt and the cell-proliferating local regulation center mostly to be Raf. The main target of apoptosis induction would be TRAIL, Fas-L, TNFou IL-L ATR, ATM and Apaf-1. And the main regulating target of apoptosis resisting inhibition and proliferating inhibition would be EGF, NGF, TGFalpha and IL-3. Inhibiting the over-expression of cell proliferation is also an effective curing method.
  • Keywords
    biology computing; cancer; medical signal processing; Pajek software; cell proliferation; curing method; non-small cell lung cancer signal; signal transduction network characteristics; topological graph; tumor cells; Cancer; Complex networks; Computational intelligence; Computer networks; Educational institutions; Lungs; Medical treatment; Physics computing; Signal analysis; Tumors; betweens; clustering coefficient; local regulating center; node degree; signal transduction network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.55
  • Filename
    5230925