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Significance Understanding how tumors interact with their surrounding vasculature is key to improving cancer therapies, yet most computational models rely on oversimplified assumptions about nutrient supply. In this study, we combined high-performance computing with a complete capillary-scale map of a mouse brain vasculature to simulate tumor growth at subcellular resolution.
Abstract Cancer remains a leading cause of mortality. Multidisciplinary studies probe its complex pathology to increase treatment options. Computational modeling of tumor growth on high-performance computing resources offers microscopic insight into its progress and a valuable avenue for advancing our understanding. However, the effective initialization and parameterization of the underlying models require high-resolution data from real tissue structures.
Loading metrics Open Access Peer-reviewed Research Article ? This is an uncorrected proof. Abstract Progress continues in the field of cancer biology, yet much remains to be unveiled regarding the mechanisms of cancer invasion. In particular, complex biophysical mechanisms enable a tumor to remodel the surrounding extracellular matrix (ECM), allowing cells to invade alone or collectively.
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