A multiscale mathematical model of avascular tumor growth to investigate the therapeutic benefit of anti-invasive agent
Langue
en
Article de revue
Ce document a été publié dans
Journal of Theoretical Biology. 2006, vol. 243, n° 4, p. 532-541
Elsevier
Résumé en anglais
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 ...Lire la suite >
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
Mots clés en anglais
Mathematical modeling
Therapeutic development
Inhibitors of Metalloproteinases
Cytostatic agents
Origine
Importé de halUnités de recherche