• DocumentCode
    636014
  • Title

    Tumor growth model identification and analysis in case of C38 colon adenocarcinoma and B16 melanoma

  • Author

    Sapi, Johanna ; Drexler, Daniel Andras ; Harmati, Istvan ; Szeles, Annamaria ; Kiss, B. ; Sapi, Zoltan ; Kovacs, Levente

  • Author_Institution
    John von Neumann Fac. of Inf., Obuda Univ., Budapest, Hungary
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    303
  • Lastpage
    308
  • Abstract
    Cancer fighting treatments are expanding, and a promising type, targeted molecular therapies have a new approach. The aim of these therapies is not to eliminate the whole tumor, but to control the tumor into a given state and keep it there. Explicit knowledge of tumor growth dynamics and the effects of targeted molecular therapies is crucial in tumor treatment development. We show the results of mouse experiments where tumor growth was investigated in case of C38 colon adenocarcinoma and B16 melanoma. Several curves were fitted and tumor growth dynamics was examined. Three attributes of tumor were measured: tumor volume, tumor mass and vascularization; and tumor growth dynamics was examined. Tumor volume was measured with digital caliper, vascularization was investigated with CD31 antibody immunohistochemistry staining on frozen sections. The relationship between these tumor attributes were examined with linear regression analysis. The dynamics of tumor growth was identified as a second order linear system.
  • Keywords
    biochemistry; biological organs; cancer; molecular biophysics; patient treatment; proteins; regression analysis; tumours; B16 melanoma; C38 colon adenocarcinoma; CD31 antibody immunohistochemistry staining; cancer lighting treatment; digital caliper; frozen sections; linear regression analysis; mouse experiment; second order linear system; targeted molecular therapy; tumor growth dynamics; tumor growth model analysis; tumor growth model identification; tumor mass; tumor treatment development; tumor vascularization; tumor volume; Cancer; Colon; Malignant tumors; Medical treatment; Mice; Volume measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics (SACI), 2013 IEEE 8th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4673-6397-6
  • Type

    conf

  • DOI
    10.1109/SACI.2013.6608987
  • Filename
    6608987