癌症生态学和进化模型框架。

IF 3.7 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Journal of The Royal Society Interface Pub Date : 2024-07-01 Epub Date: 2024-07-17 DOI:10.1098/rsif.2024.0099
Frederick R Adler
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引用次数: 0

摘要

癌症发病率随着年龄的增长而迅速增加,通常呈多项式增长。体细胞突变理论通过等待时间来积累足够的突变,从而产生具有不受控制生长所需的全套特征的细胞来解释这种增长。然而,从肿瘤逆转和休眠到非癌症组织中假定的癌症突变的普遍性等一系列证据表明,这并不是故事的全部,癌症也是一个生态过程,只有当细胞内和细胞间的控制系统崩溃时,突变才会导致癌症。因此,衰老有两种效应:突变的积累和控制的瓦解。本文提出了一个数学建模框架,将这些理论与细胞系的突变和多样化以及细胞内和细胞间控制层的崩溃的新方法统一起来。这些模型正确预测了癌症随年龄增长而呈多项式增长的现象,展示了种系控制缺陷如何加速癌症的发生,并计算了细胞复制、生态学和控制层之间的正反馈如何导致细胞群呈双指数增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A modelling framework for cancer ecology and evolution.

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.

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来源期刊
Journal of The Royal Society Interface
Journal of The Royal Society Interface 综合性期刊-综合性期刊
CiteScore
7.10
自引率
2.60%
发文量
234
审稿时长
2.5 months
期刊介绍: J. R. Soc. Interface welcomes articles of high quality research at the interface of the physical and life sciences. It provides a high-quality forum to publish rapidly and interact across this boundary in two main ways: J. R. Soc. Interface publishes research applying chemistry, engineering, materials science, mathematics and physics to the biological and medical sciences; it also highlights discoveries in the life sciences of relevance to the physical sciences. Both sides of the interface are considered equally and it is one of the only journals to cover this exciting new territory. J. R. Soc. Interface welcomes contributions on a diverse range of topics, including but not limited to; biocomplexity, bioengineering, bioinformatics, biomaterials, biomechanics, bionanoscience, biophysics, chemical biology, computer science (as applied to the life sciences), medical physics, synthetic biology, systems biology, theoretical biology and tissue engineering.
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