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PLoS One. 2015 Mar 18;10(3):e0120007. doi: 10.1371/journal.pone.0120007. eCollection 2015.

Therapeutic implications from sensitivity analysis of tumor angiogenesis models.

Author information

1
Center of Cancer Systems Biology, GeneSys Research Institute, Tufts University School of Medicine, Boston, Massachusetts, United States of America; College of Inter-faculty Individual Studies in Mathematics and Natural Sciences, University of Warsaw, Warsaw, Poland.
2
Center of Cancer Systems Biology, GeneSys Research Institute, Tufts University School of Medicine, Boston, Massachusetts, United States of America.

Abstract

Anti-angiogenic cancer treatments induce tumor starvation and regression by targeting the tumor vasculature that delivers oxygen and nutrients. Mathematical models prove valuable tools to study the proof-of-concept, efficacy and underlying mechanisms of such treatment approaches. The effects of parameter value uncertainties for two models of tumor development under angiogenic signaling and anti-angiogenic treatment are studied. Data fitting is performed to compare predictions of both models and to obtain nominal parameter values for sensitivity analysis. Sensitivity analysis reveals that the success of different cancer treatments depends on tumor size and tumor intrinsic parameters. In particular, we show that tumors with ample vascular support can be successfully targeted with conventional cytotoxic treatments. On the other hand, tumors with curtailed vascular support are not limited by their growth rate and therefore interruption of neovascularization emerges as the most promising treatment target.

PMID:
25785600
PMCID:
PMC4364928
DOI:
10.1371/journal.pone.0120007
[Indexed for MEDLINE]
Free PMC Article

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