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通过 3D 连续体模型评估肿瘤微环境中固有免疫系统和适应性免疫系统之间的相互作用

英文原题:Evaluation of innate and adaptive immune system interactions in the tumor microenvironment via a 3D continuum model.

查看英文原题

Evaluation of innate and adaptive immune system interactions in the tumor microenvironment via a 3D continuum model.

PubMed 2022/12/17(内容时间) J Theor Biol Q2 · IF 1.9(JCR 2025)

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中文摘要

已知肿瘤微环境(TME)中的免疫细胞会影响肿瘤生长、血管化和细胞外基质(ECM)沉积。对TME内免疫物种相互作用的系统尺度分析的浓厚兴趣,推动了肿瘤-免疫相互作用的计算机建模进展。由于模拟这些复杂相互作用的计算成本,模型通常被限制为表示有限数量的免疫物种。为了扩展系统尺度分析的能力,本研究开发了一个肿瘤-免疫相互作用的三维连续混合模型,以模拟TME中的多种免疫物种。基于最近一种能够高效求解此类混合模型的分布式计算实现,本新实现中表示了主要免疫物种,包括单核细胞、巨噬细胞、NK 细胞、树突状细胞、中性粒细胞、髓源性抑制细胞(MDSC)、细胞毒性T细胞、辅助T细胞、调节性T细胞,以及效应B细胞和调节性B细胞及其相互作用。免疫物种从血管系统中外渗,向趋化因子浓度高的区域进行趋化运动,并按局部定义的刺激水平成比例地影响TME。免疫物种参与产生血管生成因子和肿瘤生长因子、促进肌成纤维细胞沉积ECM、上调血管生成,以及清除存活和死亡的肿瘤物种。

结果表明,这种建模方法能够为多种免疫-肿瘤相互作用和免疫驱动的TME效应对肿瘤生长的调控提供定量洞察。特别是,探讨了MDSC对肿瘤相关免疫细胞活化水平、体积分数以及对TME影响的介导效应。从长远来看,将模型参数与特定患者肿瘤信息相关联,可以模拟癌症特异性免疫反应,并朝着更全面地评估免疫治疗策略迈进。

展开英文摘要原文

Immune cells in the tumor microenvironment (TME) are known to affect tumor growth, vascularization, and extracellular matrix (ECM) deposition. Marked interest in system-scale analysis of immune species interactions within the TME has encouraged progress in modeling tumor-immune interactions in silico. Due to the computational cost of simulating these intricate interactions, models have typically been constrained to representing a limited number of immune species. To expand the capability for system-scale analysis, this study develops a three-dimensional continuum mixture model of tumor-immune interactions to simulate multiple immune species in the TME. Building upon a recent distributed computing implementation that enables efficient solution of such mixture models, major immune species including monocytes, macrophages, natural killer cells, dendritic cells, neutrophils, myeloid-derived suppressor cells (MDSC), cytotoxic, helper, regulatory T-cells, and effector and regulatory B-cells and their interactions are represented in this novel implementation.

Immune species extravasate from blood vasculature, undergo chemotaxis toward regions of high chemokine concentration, and influence the TME in proportion to locally defined levels of stimulation. The immune species contribute to the production of angiogenic and tumor growth factors, promotion of myofibroblast deposition of ECM, upregulation of angiogenesis, and elimination of living and dead tumor species.

The results show that this modeling approach offers the capability for quantitative insight into the modulation of tumor growth by diverse immune-tumor interactions and immune-driven TME effects. In particular, MDSC-mediated effects on tumor-associated immune species' activation levels, volume fraction, and influence on the TME are explored. Longer term, linking of the model parameters to particular patient tumor information could simulate cancer-specific immune responses and move toward a more comprehensive evaluation of immunotherapeutic strategies.

论文信息

作者
Goodin DA、Frieboes HB
第一作者单位
Department of Bioengineering, University of Louisville, KY, USA.United States
通讯作者单位
Department of Bioengineering, University of Louisville, KY, USA; James Graham Brown Cancer Center, University of Louisville, KY, USA; Center for Predictive Medicine, University of Louisville, KY, USA. Electronic address: hbfrie01@louisville.edu.United States
文献类型
美国政府(非公共卫生署)资助研究
期刊
Journal of theoretical biology2023 Feb 21
原文标识
PubMed 36539112 · DOI 10.1016/j.jtbi.2022.111383