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Spatially constrained tumour growth affects the patterns of clonal selection and neutral drift in cancer genomic data
2019
PLoS Computational Biology
Quantification of the effect of spatial tumour sampling on the patterns of mutations detected in next-generation sequencing data is largely lacking. Here we use a spatial stochastic cellular automaton model of tumour growth that accounts for somatic mutations, selection, drift and spatial constraints, to simulate multi-region sequencing data derived from spatial sampling of a neoplasm. We show that the spatial structure of a solid cancer has a major impact on the detection of clonal selection
doi:10.1371/journal.pcbi.1007243
pmid:31356595
pmcid:PMC6687187
fatcat:pvlze3hrkfgmzlrpnutc2f2lcu