The aim of this project is to propose a comprehensive study of the modeling of tumor
growth, including submicroscopic (molecular level), microscopic (cell level) and macroscopic (tissues and organ level) elements and to apply these modeling tools to therapeutic
innovation in oncology. The long-term goal is to improve drug delivery protocols for clinical trial. This crucial aim requires as a first step the mathematical analysis and control of
complex multiscale models of tumor growth.
To focus our work, we propose to target two precise applications: combination of anti-angiogenesis drugs with chemotherapy in the treatment of colorectal cancers and electro-chemotherapies for brain tumors.
The main points that we want to address are the following:
1) This problem is clearly a multiscale problem and each level has to be treated separately before to be integrating in a complete model.
2) In order to be useful for therapeutic innovation, one needs some data that can be obtained from in vitro, in vivo, or clinical experiments including medical imaging.
3) Finally, some low order (simple) models are needed for the clinical trials.
See the detailled project (in french)
See the poster (in french)
Vectorology and Anticancer Therapies, UMR 8203, Institut Gustave Roussy (Villejuif, France)
INRIA Team MC2 (Bordeaux, France)
INRIA Team NUMED (Lyon, France)
Laboratoire de Mathématiques de Versailles (Versailles, France)