• DocumentCode
    2964181
  • Title

    Low- and high- agressive genetic breast cancer subtypes and significant survival gene signatures

  • Author

    Kuznetsov, V.A. ; Motakis, E. ; Ivshina, A.V.

  • Author_Institution
    Bioinf. Inst., Singapore
  • fYear
    2008
  • fDate
    1-8 June 2008
  • Firstpage
    4151
  • Lastpage
    4156
  • Abstract
    We characterize three small gene signatures derived consequently from the original 232-gene breast cancer aggressiveness signature which could improve biological classification and clinical assignment of ~50% of breast cancer patients having histologic grade 2 tumors . Here, we develop a novel approach to identify small gene signatures providing statistically reliable, biological important and clinical significant molecular markers.We consider three small molecular signatures which strongly represent three specific groups of genes related to (i) cell cycle /mitosis, (2) chromosome segregation and micro-tubular formation, (3) cell-cell communication, extracellular/immune signaling, and RNA binding. These results shed light on underlined biological mechanisms of low-aggressive and high-aggressive human breast cancer phenotypes and support our suggestion that re-classification of grade 2 breast tumors onto tumor grade 1-like and tumor grade 3-like subtypes can be related to two genetically and clinically distinct cancer types.
  • Keywords
    biological organs; cancer; cellular biophysics; genetics; macromolecules; medical computing; molecular biophysics; pattern classification; statistical analysis; tumours; RNA binding; biological classification; cell-cell communication; chromosome segregation; clinical assignment; extracellular-immune signaling; high-aggressive genetic breast cancer subtype; low-aggressive genetic breast cancer subtype; microtubular formation; mitosis; molecular signature; statistical analysis; survival gene signature; tumor; Biological cells; Breast cancer; Breast neoplasms; Cells (biology); Extracellular; Genetics; Humans; Immune system; RNA; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1820-6
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2008.4634396
  • Filename
    4634396