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癌症生态学和进化的建模框架。

A modelling framework for cancer ecology and evolution.

机构信息

Department of Mathematics, School of Biological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.

出版信息

J R Soc Interface. 2024 Jul;21(216):20240099. doi: 10.1098/rsif.2024.0099. Epub 2024 Jul 17.

Abstract

Cancer incidence increases rapidly with age, typically as a polynomial. The somatic mutation theory explains this increase through the waiting time for enough mutations to build up to generate cells with the full set of traits needed to grow without control. However, lines of evidence ranging from tumour reversion and dormancy to the prevalence of presumed cancer mutations in non-cancerous tissues argue that this is not the whole story, and that cancer is also an ecological process, and that mutations only lead to cancer when the systems of control within and across cells have broken down. Aging thus has two effects: the build-up of mutations and the breakdown of control. This paper presents a mathematical modelling framework to unify these theories with novel approaches to model the mutation and diversification of cell lineages and of the breakdown of the layers of control both within and between cells. These models correctly predict the polynomial increase of cancer with age, show how germline defects in control accelerate cancer initiation, and compute how the positive feedback between cell replication, ecology and layers of control leads to a doubly exponential growth of cell populations.

摘要

癌症发病率随年龄迅速增长,通常呈多项式趋势。体细胞突变理论通过等待足够的突变积累来解释这种增长,以产生具有完全生长控制所需特征的细胞。然而,从肿瘤逆转和休眠到非癌组织中假定癌症突变的普遍存在等一系列证据表明,这并不是全部原因,癌症也是一个生态过程,只有当细胞内外的控制系统崩溃时,突变才会导致癌症。因此,衰老有两个影响:突变的积累和控制的崩溃。本文提出了一个数学建模框架,将这些理论与新的方法统一起来,以模型化细胞谱系的突变和多样化,以及细胞内外控制层的崩溃。这些模型正确地预测了癌症随年龄的多项式增长,表明控制的种系缺陷如何加速癌症的发生,并计算细胞复制、生态学和控制层之间的正反馈如何导致细胞群体的双重指数增长。

相似文献

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A modelling framework for cancer ecology and evolution.癌症生态学和进化的建模框架。
J R Soc Interface. 2024 Jul;21(216):20240099. doi: 10.1098/rsif.2024.0099. Epub 2024 Jul 17.

本文引用的文献

1
Superlinear growth reveals the Allee effect in tumors.超线性生长揭示了肿瘤中的阿利效应。
Phys Rev E. 2021 Apr;103(4-1):042405. doi: 10.1103/PhysRevE.103.042405.
2
Reconciling Non-Genetic Plasticity with Somatic Evolution in Cancer.癌症中非遗传可塑性与体细胞进化的调和。
Trends Cancer. 2021 Apr;7(4):309-322. doi: 10.1016/j.trecan.2020.12.007. Epub 2021 Feb 1.
4
Rare Mutations in Cancer Drug Resistance and Implications for Therapy.癌症耐药中的罕见突变及其对治疗的影响
Clin Pharmacol Ther. 2020 Sep;108(3):437-439. doi: 10.1002/cpt.1938. Epub 2020 Jul 10.

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