作者: András Szabó , Roeland M. H. Merks
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摘要: Despite a growing wealth of available molecular data, the growth tumors, invasion tumors into healthy tissue, and response to therapies are still poorly understood. Although genetic mutations in general first step development cancer, for mutated cell persist it must compete against other, or diseased cells, example by becoming more motile, adhesive, multiplying faster. Thus, cellular phenotype determines success cancer competition with its neighbors, irrespective physiological alterations that gave rise altered phenotype. What phenotypes can make “successful” an environment cancerous how? A widely-used tool getting insight question is cell-based modeling. Cell based models constitute class computational, agent-based mimic biophysical interactions between cells. One most widely used modeling formalisms Potts model (CPM), lattice-based, multi particle approach. The CPM has become popular accessible method mechanisms multicellular processes including sorting, gastrulation, angiogenesis. accounts properties, proliferation, motility, adhesion, which play key role cancer. Multiscale constructed extending agents intracellular metabolism, growth, signaling. Here we review use tumor invasion, progression. We argue accessibility flexibility CPM, accurate, yet coarse-grained computationally efficient representation cell- tissue biophysics, choice development.