神经母细胞瘤多细胞模型提出基于p53多重作用的非常规治疗。

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
PLoS Computational Biology Pub Date : 2024-12-23 eCollection Date: 2024-12-01 DOI:10.1371/journal.pcbi.1012648
Kenneth Y Wertheim, Robert Chisholm, Paul Richmond, Dawn Walker
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引用次数: 0

摘要

神经母细胞瘤是儿童最常见的颅外实体瘤。预计超过一半的高危病例即使在化疗、手术和免疫治疗后也会死于这种疾病。尽管MYCN扩增在该病中的重要性是无可争议的,但其机制细节仍是谜。在这里,我们提出了一个神经母细胞瘤的多细胞模型,包括一个连续自动机、离散细胞因子和一个基于中心的力学模型,以及我们用它获得的模拟结果。连续自动机将肿瘤微环境表示为网格状结构,其中每个体素与连续变量(例如其中的氧气水平)相关联。每个离散的细胞因子由几个属性定义,包括它的细胞周期位置、突变、基因表达模式,以及更多的行为,如细胞周期和细胞死亡随机依赖于这些属性。以中心为基础的力学模型代表了这些介质作为物理对象的特性,描述了它们如何作为软球体相互排斥。通过在现代gpu上实现随机模拟算法,我们模拟了超过一百万个神经母细胞瘤细胞在几个月内的动态。具体来说,我们建立了1200个异质肿瘤,并跟踪了mycn扩增克隆在每个肿瘤中的动态,揭示了有利于其生长的条件,并测试了其对5000种药物组合的反应。我们的结果与文献报道的结果一致,并为mycn扩增克隆在肿瘤中的生殖优势、其基因表达谱、肿瘤的其他克隆(具有不同突变)和肿瘤微环境之间的相互关系提供了新的见解。基于这些结果,我们提出了一个假设,即肿瘤中存在两种不同的神经母细胞瘤细胞群;p53蛋白在一种细胞中促进生存,在另一种细胞中促进凋亡。因此,交替抑制MDM2以恢复p53活性和抑制ARF以减弱p53活性是一种很有前途的治疗策略,如果不是正统的。多细胞模型具有模块化、高分辨率和可扩展性等优点,为神经母细胞瘤患者数字双胞胎的创建奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multicellular model of neuroblastoma proposes unconventional therapy based on multiple roles of p53.

Neuroblastoma is the most common extra-cranial solid tumour in children. Over half of all high-risk cases are expected to succumb to the disease even after chemotherapy, surgery, and immunotherapy. Although the importance of MYCN amplification in this disease is indisputable, the mechanistic details remain enigmatic. Here, we present a multicellular model of neuroblastoma comprising a continuous automaton, discrete cell agents, and a centre-based mechanical model, as well as the simulation results we obtained with it. The continuous automaton represents the tumour microenvironment as a grid-like structure, where each voxel is associated with continuous variables such as the oxygen level therein. Each discrete cell agent is defined by several attributes, including its cell cycle position, mutations, gene expression pattern, and more with behaviours such as cell cycling and cell death being stochastically dependent on these attributes. The centre-based mechanical model represents the properties of these agents as physical objects, describing how they repel each other as soft spheres. By implementing a stochastic simulation algorithm on modern GPUs, we simulated the dynamics of over one million neuroblastoma cells over a period of months. Specifically, we set up 1200 heterogeneous tumours and tracked the MYCN-amplified clone's dynamics in each, revealed the conditions that favour its growth, and tested its responses to 5000 drug combinations. Our results are in agreement with those reported in the literature and add new insights into how the MYCN-amplified clone's reproductive advantage in a tumour, its gene expression profile, the tumour's other clones (with different mutations), and the tumour's microenvironment are inter-related. Based on the results, we formulated a hypothesis, which argues that there are two distinct populations of neuroblastoma cells in the tumour; the p53 protein is pro-survival in one and pro-apoptosis in the other. It follows that alternating between inhibiting MDM2 to restore p53 activity and inhibiting ARF to attenuate p53 activity is a promising, if unorthodox, therapeutic strategy. The multicellular model has the advantages of modularity, high resolution, and scalability, making it a potential foundation for creating digital twins of neuroblastoma patients.

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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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