Literature DB >> 21238471

A mathematical model for progression and heterogeneity in colorectal cancer dynamics.

Marcello Delitala1, Tommaso Lorenzi.   

Abstract

This paper deals with the development of a mathematical model that describes cancer dynamics at the cellular scale. The selected case study concerns colon and rectum cancer, which originates in colorectal crypts. Cells inside the crypts are assumed to be organized according to a compartmental-like arrangement and to be homogeneously mixing. A mathematical model for cancer progression is proposed here. This model describes the generation of multiple clonal sub-populations of cells at different progression stages in a single crypt. Asymptotic analysis and simulations are developed with an exploratory aim. The obtained results offer some insights into the role played by mutation, proliferation and differentiation phenomena on cancer dynamics. In particular, the acquisition of an additional growing power and a reduction for cellular differentiation seem more likely to be the driving force behind carcinogenesis rather than an increase in the mutation rate. The mutation rate instead seems to affect progression dynamics and intra-tumor heterogeneity. The role played by cells, at different differentiation stages, in the onset and progression of colorectal cancer is highlighted. The results support the fact that stem cells play a key role in cancer development and the idea that transit-amplifying cells could also take on an active role in carcinogenesis.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21238471     DOI: 10.1016/j.tpb.2011.01.001

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  4 in total

1.  Tracking the evolution of cancer cell populations through the mathematical lens of phenotype-structured equations.

Authors:  Tommaso Lorenzi; Rebecca H Chisholm; Jean Clairambault
Journal:  Biol Direct       Date:  2016-08-23       Impact factor: 4.540

2.  Data Driven Mathematical Model of Colon Cancer Progression.

Authors:  Arkadz Kirshtein; Shaya Akbarinejad; Wenrui Hao; Trang Le; Sumeyye Su; Rachel A Aronow; Leili Shahriyari
Journal:  J Clin Med       Date:  2020-12-05       Impact factor: 4.241

3.  Computational Model of Heterogeneity in Melanoma: Designing Therapies and Predicting Outcomes.

Authors:  Arran Hodgkinson; Dumitru Trucu; Matthieu Lacroix; Laurent Le Cam; Ovidiu Radulescu
Journal:  Front Oncol       Date:  2022-04-14       Impact factor: 5.738

Review 4.  Colorectal cancer through simulation and experiment.

Authors:  Sophie K Kershaw; Helen M Byrne; David J Gavaghan; James M Osborne
Journal:  IET Syst Biol       Date:  2013-06       Impact factor: 1.615

  4 in total

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