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arXiv 2108.10000q-bio.PEcond-mat.stat-mechnlin.CG
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细胞群体增长的普遍原理源于局部接触抑制

Universal principles of cell population growth follow from local contact inhibition

Moffitt Cancer Center(莫菲特癌症中心);Stony Brook University(石溪大学);Max Planck Institute for Evolutionary Biology(马克斯·普朗克进化生物学研究所);University Hospital Schleswig-Holstein, Kiel University(基尔大学什勒斯维希-荷尔斯泰因大学医院)

Gregory J. Kimmel, Sadegh Marzban, Mehdi Damaghi, Arne Traulsen, Alexander R. A. Anderson, Jeffrey West, Philipp M. Altrock

AI总结:

本文通过研究微观假设与接触抑制的联系,统一了五种经典肿瘤生长定律,揭示了接触抑制与其他假设对癌症细胞生长定量理解的影响。

摘要:

癌症细胞群体往往表现出相似的生长规律,尽管其异质性显著。目前对普遍细胞群体生长的解释仍不完全明确。本文通过研究微观假设与预期接触抑制之间的联系,统一了五种经典肿瘤生长定律:指数型、径向型、分形型、广义逻辑型和戈柏兹型生长。所有五种均可视为单一微观模型的表现。基于代理的模拟验证了我们的理论,并可解释实验数据中生长曲线的差异。因此,我们的框架为许多经验性捕捉看似无关的癌症或微生物生长动态的平均场定律提供了可能的解释。我们的结果强调了接触抑制与其他假设(如充分混合)之间的相互作用如何影响我们对癌症细胞生长以及它们如何相互作用的定量理解。

英文摘要:

Cancer cell populations often exhibit remarkably similar growth laws despite their heterogeneity. Explanations of universal cell population growth remain partly unresolved to this day. Here, we present a growth-law unification by investigating the connection between microscopic assumptions and the expected contact inhibition, which leads to five classical tumor growth laws: exponential, radial growth, fractal growth, generalized logistic, and Gompertzian growth. All five can be seen as manifestations of a single microscopic model. Agent-based simulations substantiate our theory, and we can explain differences in growth curves in experimental data from em in vitro cancer cell population growth. Thus, our framework offers a possible explanation for many mean-field laws used to empirically capture seemingly unrelated cancer or microbial growth dynamics. Our results highlight that the interplay between contact inhibition and other assumptions (e.g., well-mixed) can influence our quantitative understanding of how cancer cells grow and, in turn, how they may interact.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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