Evolution and Cancer Laboratory, Centre for Tumour Biology, Barts Cancer Institute, London, United Kingdom.
Inflammatory Bowel Disease Unit, St Mark's Hospital, Harrow, United Kingdom.
Front Immunol. 2018 Oct 16;9:2368. doi: 10.3389/fimmu.2018.02368. eCollection 2018.
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 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.
炎症性肠病患者罹患结直肠癌的风险增加,且这种风险与疾病持续时间、范围和累积炎症负担有关。癌变遵循达尔文进化原则,体细胞获得提供生存和/或生长优势的基因组改变。结肠炎代表了一种独特的情况,常规监测内镜检查提供了一个偶然的机会,可以观察到人类器官中体细胞在空间和时间上的进化。此外,结肠炎中的体细胞进化是“快车道”上的进化:疾病的反复炎症和黏膜愈合促进了进化过程,并可能为适应炎症的表型特征提供强大的选择压力。在这篇综述中,我们讨论了结肠炎中癌前克隆的进化动态,重点讨论了如何测量它们的进化轨迹可以提供一种预测未来癌症发生的强大方法。体细胞进化的测量需要一种跨学科的方法,该方法结合了对体细胞的基因型、表型和微环境的定量测量——特别注意结肠的空间异质性——并结合数学模型在进化框架内解释这些数据。在这里,我们以一种实用的方法讨论了如何以及为什么可以和应该测量不同的“进化成分”,以及我们对随后转化为临床实践的看法。我们强调了结肠炎相关癌症进化中的开放性问题,以刺激未来的工作。
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