RIBBA, Benjamin; SAUT, Olivier; COLIN, Thierry; BRESCH, Didier; GRENIER, Emmanuel; BOISSEL, Jean-Pierre

doi:10.1016/j.jtbi.2006.07.013

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RIBBA, Benjamin
Numerical Medicine [NUMED]

SAUT, Olivier
Institut de Mathématiques de Bordeaux [IMB]
Modélisation, contrôle et calcul [MC2]

COLIN, Thierry
Modélisation, contrôle et calcul [MC2]

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Journal of Theoretical Biology. 2006, vol. 243, n° 4, p. 532-541

Elsevier

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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.< Réduire

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

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