Spatial Moran Models, II: Cancer Initiation in Spatially Structured Tissue
Overview
Affiliations
We study the accumulation and spread of advantageous mutations in a spatial stochastic model of cancer initiation on a lattice. The parameters of this general model can be tuned to study a variety of cancer types and genetic progression pathways. This investigation contributes to an understanding of how the selective advantage of cancer cells together with the rates of mutations driving cancer, impact the process and timing of carcinogenesis. These results can be used to give insights into tumor heterogeneity and the "cancer field effect," the observation that a malignancy is often surrounded by cells that have undergone premalignant transformation.
A seven-step guide to spatial, agent-based modelling of tumour evolution.
Colyer B, Bak M, Basanta D, Noble R Evol Appl. 2024; 17(5):e13687.
PMID: 38707992 PMC: 11064804. DOI: 10.1111/eva.13687.
Substrate geometry affects population dynamics in a bacterial biofilm.
Postek W, Staskiewicz K, Lilja E, Waclaw B Proc Natl Acad Sci U S A. 2024; 121(17):e2315361121.
PMID: 38621130 PMC: 11047097. DOI: 10.1073/pnas.2315361121.
Selective sweep probabilities in spatially expanding populations.
Stein A, Kizhuttil R, Bak M, Noble R bioRxiv. 2023; .
PMID: 38077009 PMC: 10705267. DOI: 10.1101/2023.11.27.568915.
A computational model for the cancer field effect.
Deutscher K, Hillen T, Newby J Front Artif Intell. 2023; 6:1060879.
PMID: 37469932 PMC: 10352683. DOI: 10.3389/frai.2023.1060879.
Spatial structure governs the mode of tumour evolution.
Noble R, Burri D, Le Sueur C, Lemant J, Viossat Y, Kather J Nat Ecol Evol. 2021; 6(2):207-217.
PMID: 34949822 PMC: 8825284. DOI: 10.1038/s41559-021-01615-9.