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From Colitis to Cancer: An Evolutionary Trajectory That Merges Maths and Biology

Patients with inflammatory bowel disease have an increased risk of developing colorectal cancer, and this risk is related to disease duration, extent, and cumulative inflammation burden. Carcinogenesis follows the principles of Darwinian evolution, whereby somatic cells acquire genomic alterations t...

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Autores principales: Al Bakir, Ibrahim, Curtius, Kit, Graham, Trevor A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198656/
https://www.ncbi.nlm.nih.gov/pubmed/30386335
http://dx.doi.org/10.3389/fimmu.2018.02368
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author Al Bakir, Ibrahim
Curtius, Kit
Graham, Trevor A.
author_facet Al Bakir, Ibrahim
Curtius, Kit
Graham, Trevor A.
author_sort Al Bakir, Ibrahim
collection PubMed
description Patients with inflammatory bowel disease have an increased risk of developing colorectal cancer, and this risk is related to disease duration, extent, and cumulative inflammation burden. Carcinogenesis follows the principles of Darwinian evolution, whereby somatic cells acquire genomic alterations that provide them with a survival and/or growth advantage. Colitis represents a unique situation whereby routine surveillance endoscopy provides a serendipitous opportunity to observe somatic evolution over space and time in vivo in a human organ. Moreover, somatic evolution in colitis is evolution in the ‘fast lane': the repeated rounds of inflammation and mucosal healing that are characteristic of the disease accelerate the evolutionary process and likely provide a strong selective pressure for inflammation-adapted phenotypic traits. In this review, we discuss the evolutionary dynamics of pre-neoplastic clones in colitis with a focus on how measuring their evolutionary trajectories could deliver a powerful way to predict future cancer occurrence. Measurements of somatic evolution require an interdisciplinary approach that combines quantitative measurement of the genotype, phenotype and the microenvironment of somatic cells–paying particular attention to spatial heterogeneity across the colon–together with mathematical modeling to interpret these data within an evolutionary framework. Here we take a practical approach in discussing how and why the different “evolutionary ingredients” can and should be measured, together with our viewpoint on subsequent translation into clinical practice. We highlight the open questions in the evolution of colitis-associated cancer as a stimulus for future work.
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spelling pubmed-61986562018-11-01 From Colitis to Cancer: An Evolutionary Trajectory That Merges Maths and Biology Al Bakir, Ibrahim Curtius, Kit Graham, Trevor A. Front Immunol Immunology Patients with inflammatory bowel disease have an increased risk of developing colorectal cancer, and this risk is related to disease duration, extent, and cumulative inflammation burden. Carcinogenesis follows the principles of Darwinian evolution, whereby somatic cells acquire genomic alterations that provide them with a survival and/or growth advantage. Colitis represents a unique situation whereby routine surveillance endoscopy provides a serendipitous opportunity to observe somatic evolution over space and time in vivo in a human organ. Moreover, somatic evolution in colitis is evolution in the ‘fast lane': the repeated rounds of inflammation and mucosal healing that are characteristic of the disease accelerate the evolutionary process and likely provide a strong selective pressure for inflammation-adapted phenotypic traits. In this review, we discuss the evolutionary dynamics of pre-neoplastic clones in colitis with a focus on how measuring their evolutionary trajectories could deliver a powerful way to predict future cancer occurrence. Measurements of somatic evolution require an interdisciplinary approach that combines quantitative measurement of the genotype, phenotype and the microenvironment of somatic cells–paying particular attention to spatial heterogeneity across the colon–together with mathematical modeling to interpret these data within an evolutionary framework. Here we take a practical approach in discussing how and why the different “evolutionary ingredients” can and should be measured, together with our viewpoint on subsequent translation into clinical practice. We highlight the open questions in the evolution of colitis-associated cancer as a stimulus for future work. Frontiers Media S.A. 2018-10-16 /pmc/articles/PMC6198656/ /pubmed/30386335 http://dx.doi.org/10.3389/fimmu.2018.02368 Text en Copyright © 2018 Al Bakir, Curtius and Graham. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Al Bakir, Ibrahim
Curtius, Kit
Graham, Trevor A.
From Colitis to Cancer: An Evolutionary Trajectory That Merges Maths and Biology
title From Colitis to Cancer: An Evolutionary Trajectory That Merges Maths and Biology
title_full From Colitis to Cancer: An Evolutionary Trajectory That Merges Maths and Biology
title_fullStr From Colitis to Cancer: An Evolutionary Trajectory That Merges Maths and Biology
title_full_unstemmed From Colitis to Cancer: An Evolutionary Trajectory That Merges Maths and Biology
title_short From Colitis to Cancer: An Evolutionary Trajectory That Merges Maths and Biology
title_sort from colitis to cancer: an evolutionary trajectory that merges maths and biology
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198656/
https://www.ncbi.nlm.nih.gov/pubmed/30386335
http://dx.doi.org/10.3389/fimmu.2018.02368
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