• DocumentCode
    3285948
  • Title

    An ODE model for the HER2/3-AKT signaling pathway in cancers that overexpress HER2

  • Author

    Itani, S. ; Gray, J. ; Tomlin, C.J.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Berkeley, Berkeley, CA, USA
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    1235
  • Lastpage
    1241
  • Abstract
    Targeted drug therapies have proven very useful as cancer treatments, but some still demonstrate very little antitumor activity in certain cancers. A class of tyrosine kinase inhibitors (TKIs) that are unexpectedly inefficient in some cancers are those that target the human epidermal growth factor receptor (HER) family. This paper proposes a mathematical model of the HER signaling pathway for the study and treatment of cancers that overexpress. The goals of this paper are threefold. The first is to introduce an ODE model that agrees with the existing data over large time intervals, and the second is to use this model to understand the effects of applying certain drugs to such cancers. We finally use this model to determine a “steering-based” treatment scheme for cancers that overexpress HER2.
  • Keywords
    biochemistry; cancer; cellular biophysics; drugs; enzymes; mathematical analysis; molecular biophysics; patient treatment; physiological models; tumours; HER2/3-AKT signaling pathway; ODE model; antitumor activity; cancer treatments; human epidermal growth factor receptor family; mathematical model; overexpress HER2; steering-based treatment scheme; targeted drug therapies; tyrosine kinase inhibitors; Amino acids; Cancer; Cells (biology); Drugs; Epidermis; Humans; Inhibitors; Mathematical model; Medical treatment; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5531034
  • Filename
    5531034