Classical Mathematical Models for Description and Prediction of Experimental Tumor Growth

Despite internal complexity, tumor growth kinetics follow relatively simple laws that can be expressed as mathematical models. To explore this further, quantitative analysis of the most classical of these were performed. The models were assessed against data from two in vivo experimental systems: an ectopic syngeneic tumor (Lewis lung carcinoma) and an orthotopically xenografted human breast carcinoma. The goals were threefold: 1) to determine a statistical model for description of the measurement error, 2) to establish the descriptive power of each model, using several goodness-of-fit metrics and a study of parametric identifiability, and 3) to assess the models' ability to forecast future tumor growth. The…

• AN
  Agence Nationale de la Recherche

  Awards: ANR-10-IDEX-, 10-IDEX-03-02, ANR-10-IDEX, ANR-10
• NI
  National Institutes of Health

  Award: U54CA149233
• NC
  National Cancer Institute

  Award: U54CA149233