Spatially constrained tumour growth affects the patterns of clonal selection and neutral drift in cancer genomic data.

ABSTRACT: 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 and genetic drift from both bulk and single-cell sequencing data. Our results indicate that spatial constrains can introduce significant sampling biases when performing multi-region bulk sampling and that such bias becomes a major confounding factor for the measurement of the evolutionary dynamics of

SUBMITTER: Chkhaidze K 

PROVIDER: S-EPMC6687187 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature