A computational model for investigating the evolution of colonic crypts during Lynch syndrome carcinogenesis


Abstract Lynch syndrome (LS), the most common inherited colorectal cancer (CRC) syndrome, increases the cancer risk in affected individuals. LS is caused by pathogenic germline variants in one of the DNA mismatch repair (MMR) genes, complete inactivation of which causes numerous mutations in affected cells. As CRC is believed to originate in colonic crypts, understanding the intra-crypt dynamics caused by mutational processes is essential for a complete picture of LS CRC and may have significant implications for cancer prevention. We propose a computational model describing the evolution of colonic crypts during LS carcinogenesis. Extending existing modeling approaches for the non-Lynch scenario, we incorporated MMR deficiency and implemented recent experimental data demonstrating that somatic CTNNB1 mutations are common drivers of LS-associated CRCs, if affecting both alleles of the gene. Further, we simulated the effect of different mutations on the entire crypt, distinguishing non-transforming and transforming mutations. As an example, we analyzed the spread of mutations in the genes APC and CTNNB1, which are frequently mutated in LS tumors, as well as of MMR deficiency itself. We quantified each mutation's potential for monoclonal conversion and investigated the influence of the cell location and of stem cell dynamics on mutation spread. The in silico experiments underline the importance of stem cell dynamics for the overall crypt evolution. Further, simulating different mutational processes is essential in LS since mutations without survival advantages (the MMR deficiency-inducing second hit) play a key role. The effect of other mutations can be simulated with the proposed model. Our results provide first mathematical clues towards more effective surveillance protocols for LS carriers.

SEEK ID: https://publications.h-its.org/publications/1317

DOI: 10.1002/cso2.1020

Research Groups: Data Mining and Uncertainty Quantification

Publication type: Journal

Journal: Computational and Systems Oncology


Date Published: 4th Jul 2021

URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/cso2.1020

Registered Mode: manually

Authors: Saskia Haupt, Nils Gleim, Aysel Ahadova, Hendrik Bläker, Magnus von Knebel Doeberitz, Matthias Kloor, Vincent Heuveline

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Haupt, S., Gleim, N., Ahadova, A., Bläker, H., von Knebel Doeberitz, M., Kloor, M., & Heuveline, V. (2021). A computational model for investigating the evolution of colonic crypts during Lynch syndrome carcinogenesis. In Computational and Systems Oncology (Vol. 1, Issue 2). Wiley. https://doi.org/10.1002/cso2.1020

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Created: 15th Nov 2021 at 10:04

Last updated: 5th Mar 2024 at 21:24

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