State-dependent evolutionary models reveal modes of solid tumor growth
M. A. Lewinsohn, T. Bedford, N. F. Müller, A. F. Feder
This paper introduces a Bayesian state-dependent evolutionary model to infer spatially varying cell division rates in tumors using multi-region sequencing data, finding peripheral cells divide 3-6x faster than central cells.
bioRxiv · Aug 5, 2022 · PreprintCancer Biology