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Issue 254: Recent years have revealed many complex mechanisms and interactions that drive the development of malignant tumors. However, dissecting how cellular properties influence the fitness of a subpopulation in the context of the microenvironment is experimentally challenging. In our recent paper, we used computational multiscale-modeling to study the impact of the nutrient surroundings on the evolutionary trajectory of the tumor. This artwork is based on a snapshot from our 3-D cellular Potts model of spheroid growth. Using this model we found that the mechanical properties of cells and nutrient fluctuations impact the evolutionary optimum and speed.