CONICET | Buscador de Institutos y Recursos Humanos

Cancer is a self-organized system whose macroscopic complexity emerges from a multiplicity of cooperative and competitive events taking place at the microscopic scale. Its growth can be described in terms of the spatio-temporal dynamics of competing populations, whose correct understanding is crucial to the development of a successful anticancer therapy. We will discuss some macroscopic and mesoscopic approaches to the modeling of tumor growth, indicating their advantages and limitations. We will then present some results of our simulational modeling of chemotherapy and describe a model for immunotherapy, which considers the effects of spatial heterogeneity, including lymphocyte migration towards the tumor and the blockading of tumor growth by immune cells.