A multiscale mathematical model of avascular tumor growth to investigate the therapeutic benefit of anti-invasive agents

With the aim of inhibiting cancer growth and reducing the risk of metastasis, pharmaceutical companies in the early 1990s developed anti-metastatic agents called inhibitors of metalloproteinases (MMPi). Despite the promising results obtained in pre-clinical studies, results of Phase III trials have...

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Bibliographic Details
Published in:Journal of theoretical biology Vol. 243; no. 4; pp. 532 - 541
Main Authors: Ribba, B., Saut, O., Colin, T., Bresch, D., Grenier, E., Boissel, J.P.
Format: Journal Article
Language:English
Published: England Elsevier Ltd 21-12-2006
Elsevier
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Summary:With the aim of inhibiting cancer growth and reducing the risk of metastasis, pharmaceutical companies in the early 1990s developed anti-metastatic agents called inhibitors of metalloproteinases (MMPi). Despite the promising results obtained in pre-clinical studies, results of Phase III trials have been somewhat disappointing for late stage cancer patients. With the aim of mathematically investigating this therapeutic failure, we developed a mechanistically based model which integrates cell cycle regulation and macroscopic tumor dynamics. By simulating the model, we evaluated the efficacy of MMPi therapy. Simulation results predict the lack of efficacy of MMPi in advanced cancer patients. The theoretical model may aid in evaluating the efficacy of anti-metastatic therapies, thus benefiting the design of prospective clinical trials.
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ISSN:0022-5193
1095-8541
DOI:10.1016/j.jtbi.2006.07.013