Modelling xenograft tumor growth under antiangiogenic inhibitation with mixed-effects models

Ferenci, Tamás and Sápi, Johanna and Kovács, Levente (2016) Modelling xenograft tumor growth under antiangiogenic inhibitation with mixed-effects models. In: 2016 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings. IEEE, Budapest, pp. 3912-3917. ISBN 978-1-5090-1819-2

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Abstract

Antiangiogenic inhibitors offer a promising new treatment modality in oncology. However, the optimal administration regime is often not well-established, despite the fact that it might have substantial impact on the outcome. The aim of the present study was to investigate this issue. Eight weeks old male C57Bl/6 mice were implanted with C38 colon adenocarcinoma, and were given either daily (n = 9) or single (n = 5) dose of bevacizumab; both receiving the same dose the only difference being the administration pattern. Outcome was measured by tracking tumor volume; both caliper and magnetic resonance imaging was employed. Longitudinal growth curves were modelled with mixed-effects models (with correction for autocorrelation and heteroscedasticity, where necessary) to infer on population-level. Several different growth models (exponential, logistic, Gompertz) were applied and compared. Results show that the estimation of the exponential model is very reliable, but it prevents extrapolation in time. Nevertheless, it clearly stablished the advantage of the continuous regime.

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