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. 2014 May 7;3(5):e113.
doi: 10.1038/psp.2014.12.

A review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis

B Ribba  1 , N H Holford  2 , P Magni  3 , I Trocóniz  4 , I Gueorguieva  5 , P Girard  6 , C Sarr  7 , M Elishmereni  8 , C Kloft  9 , L E Friberg  2
Affiliations

A review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis

B Ribba et al. CPT Pharmacometrics Syst Pharmacol. .

Abstract

Population modeling of tumor size dynamics has recently emerged as an important tool in pharmacometric research. A series of new mixed-effects models have been reported recently, and we present herein a synthetic view of models with published mathematical equations aimed at describing the dynamics of tumor size in cancer patients following anticancer drug treatment. This selection of models will constitute the basis for the Drug Disease Model Resources (DDMoRe) repository for models on oncology.

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Figures

Figure 1
Figure 1
General differential model for tumor size dynamics and development of the growth and decay terms as encountered in the reported publications.
Figure 2
Figure 2
Simulations illustrating plausible growths of tumor volume in xenografted mice for a range of parameter values of the Gompertz (left panel), generalized logistic (middle panel), and Simeoni models (right panel).
See this image and copyright information in PMC

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