Modelling tumor growth under angiogenesis inhibition with mixed-effects models

Tamás Ferenci, Johanna Sápi, L. Kovács

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Angiogenesis inhibitors offer a promising new treatment modality in oncology. However, the optimal administration regimen 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. 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 established the advantage of the continuous regime.

Original languageEnglish
Pages (from-to)221-234
Number of pages14
JournalActa Polytechnica Hungarica
Volume14
Issue number1
DOIs
Publication statusPublished - Jan 1 2017

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Tumors
Oncology
Magnetic resonance
Autocorrelation
Extrapolation
Logistics
Imaging techniques

Keywords

  • Angiogenesis inhibition
  • Dosing regimen
  • Mixed effects models
  • Tumor growth

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Modelling tumor growth under angiogenesis inhibition with mixed-effects models. / Ferenci, Tamás; Sápi, Johanna; Kovács, L.

In: Acta Polytechnica Hungarica, Vol. 14, No. 1, 01.01.2017, p. 221-234.

Research output: Contribution to journalArticle

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