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

Computational and Systems Oncology

Aysel Ahadova¹  Matthias Kloor¹  Magnus vonKnebel Doeberitz¹  Saskia Haupt²  Nils Gleim²  Vincent Heuveline²  Hendrik Bläker³ 

[1] Department of Applied Tumor Biology (ATB) Institute of Pathology, University Hospital Heidelberg Heidelberg Germany;Engineering Mathematics and Computing Lab (EMCL) Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University Heidelberg Germany;Institute of Pathology University Hospital Leipzig Leipzig Germany;

关键词: Colonic Crypts;    Colorectal Cancer;    Carcinogenesis;    Lynch Syndrome;    Computational Modeling;    Voronoi Tessellation Model;   

DOI  :  10.1002/cso2.1020

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown