针对胰腺癌的肿瘤发生和轴突调控的连续建模方法。

IF 1.9 4区 数学 Q2 BIOLOGY
Marie-Jose Chaaya , Sophie Chauvet , Florence Hubert , Fanny Mann , Mathieu Mezache , Pierre Pudlo
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引用次数: 0

摘要

胰腺神经支配在胰腺导管腺癌(PDAC)的发展过程中经历了动态重塑。去神经支配实验表明,不同类型的轴突可发挥促癌或抗癌作用,但文献中存在相互矛盾的结果,导致人们对神经系统对 PDAC 的整体影响认识不足。为了填补这一空白,我们提出了一种神经-肿瘤相互作用的连续数学模型,可以在肿瘤发展的不同阶段对神经支配进行硅模拟。该模型考虑了不同类型轴突(交感神经或感觉神经)的促瘤或抗瘤特性,以及它们在 PDAC 发展过程中不同的重塑动态。我们观察到了一种 "转变效应",即交感神经轴突去神经化的初始促瘤效应后来被感觉轴突去神经化的抗瘤效应所抵消,从而导致神经系统对PDAC肿瘤发生的作用从整体保护性转变为有害性。我们的模型还强调了交感神经轴突重塑动态对肿瘤进展影响的重要性。这些发现可能会指导针对神经系统的策略,以改善 PDAC 的治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A continuous approach of modeling tumorigenesis and axons regulation for the pancreatic cancer
The pancreatic innervation undergoes dynamic remodeling during the development of pancreatic ductal adenocarcinoma (PDAC). Denervation experiments have shown that different types of axons can exert either pro- or anti-tumor effects, but conflicting results exist in the literature, leaving the overall influence of the nervous system on PDAC incompletely understood. To address this gap, we propose a continuous mathematical model of nerve-tumor interactions that allows in silico simulation of denervation at different phases of tumor development. This model takes into account the pro- or anti-tumor properties of different types of axons (sympathetic or sensory) and their distinct remodeling dynamics during PDAC development. We observe a “shift effect” where an initial pro-tumor effect of sympathetic axon denervation is later outweighed by the anti-tumor effect of sensory axon denervation, leading to a transition from an overall protective to a deleterious role of the nervous system on PDAC tumorigenesis. Our model also highlights the importance of the impact of sympathetic axon remodeling dynamics on tumor progression. These findings may guide strategies targeting the nervous system to improve PDAC treatment.
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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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