A Multiscale, Cell-Based Framework for Modeling Cancer Development

Abstract. We use a systems approach to develop a predictive model that medical researchers can use to study and treat cancerous tumors. Our multiscale, cell-based model includes intracellular regulations, cellu-lar level dynamics and intercellular interactions, and extracellular chem-ical dynamics. The intracellular level protein regulations and signaling pathways are described by Boolean networks. The cellular level growth and division dynamics, cellular adhesion and interaction with the ex-tracellular matrix are described by a lattice Monte Carlo model. The extracellular dynamics of the chemicals follow a system of reaction-diffusion equations. All three levels of the model are integrated into a high-performance simulation tool. Our simulation results reproduce ex-perimental data in both avascular tumors and tumor angiogenesis. This model will enable medical researchers to gain a deeper understanding of the cellular and molecular interactions associated with cancer progres-sion and treatment.