• DocumentCode
    2192864
  • Title

    Is Topotecan Effective at Killing Cancer Cells?

  • Author

    Santiago-Mozos, Ricardo ; Khan, Imtiaz A. ; Madden, Michael G.

  • Author_Institution
    Coll. of Eng. & Inf., Nat. Univ. of Ireland Galway, Galway, Ireland
  • fYear
    2010
  • fDate
    13-13 Dec. 2010
  • Firstpage
    732
  • Lastpage
    739
  • Abstract
    In this paper, we analyse the behaviour of osteosarcoma cancer cells which are either exposed to the anticancer agent Topotecan or not exposed to any external agent. For the analyses of cell lineage data encoded from time lapse microscopy, we choose data mining tools that generate interpretable models of the data, and we address their statistical significance. We consider the mortality of unexposed cancer cells, the static and dynamic cytotoxic effects of the anticancer agent, the prediction of the clonal potential of resistant populations, and the differences between exposed and unexposed populations. We find that the anticancer agent affects the cells dynamics and events ratios i.e. (death/division, etc.) proportionately to its concentration, but it is ineffective at stopping the proliferation of the cancer at all dosages considered. In addition, we observe that cells exposed to the anticancer agent have greater displacements over time, indicating a putative relationship between cytotoxic effect and cell motility.
  • Keywords
    cancer; data mining; drugs; medical computing; anticancer agent Topotecan; cell motility; data mining; dynamic cytotoxic effect; osteosarcoma cancer cells; timelapse microscopy; Data mining; Topotecan; cancer; cell lineage; drug resistance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-9244-2
  • Electronic_ISBN
    978-0-7695-4257-7
  • Type

    conf

  • DOI
    10.1109/ICDMW.2010.129
  • Filename
    5693369