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表型异质性和微环境反馈在早期肿瘤发展中的作用。

Roles of phenotypic heterogeneity and microenvironment feedback in early tumor development.

机构信息

Department of Physics, University of Toronto, 60 St George St, Toronto, Ontario M5S 1A7, Canada.

Institute for Biomedical Engineering, University of Toronto, 164 College St, Toronto, Ontario M5S 3G9, Canada.

出版信息

Phys Rev E. 2021 Mar;103(3-1):032407. doi: 10.1103/PhysRevE.103.032407.

Abstract

The local microenvironment of a tumor plays an important and commonly observed role in cancer development and progression. Dynamic changes in the tissue microenvironment are thought to epigenetically disrupt healthy cellular phenotypes and drive cancer incidence. Despite the experimental work in this area there are no conceptual models to understand the interplay between the epigenetic dysregulation in the microenvironment of early tumors and the appearance of cancer driver mutations. Here, we develop a minimal model of the tissue microenvironment which considers three interacting subpopulations: healthy, phenotypically dysregulated, and mutated cancer cells. Healthy cells can epigenetically (reversibly) transition to the dysregulated phenotype, and from there to the cancer state. The epigenetic transition rates of noncancer cells can be influenced by the number of cancer cells in the microenvironment (termed microenvironment feedback). Our model delineates the regime in which microenvironment feedback accelerates the rate of cancer initiation. In addition, the model shows when and how microenvironment feedback may inhibit cancer progression. We discuss how our framework may provide resolution to some of the puzzling experimental observations of slow cancer progression.

摘要

肿瘤的局部微环境在癌症的发生和发展中起着重要且常见的作用。人们认为组织微环境的动态变化会通过表观遗传破坏健康细胞的表型,并导致癌症的发生。尽管在这一领域进行了大量的实验工作,但目前还没有概念模型来理解早期肿瘤微环境中的表观遗传失调与癌症驱动突变出现之间的相互作用。在这里,我们开发了一个组织微环境的最小模型,该模型考虑了三个相互作用的亚群:健康的、表型失调的和突变的癌细胞。健康细胞可以通过表观遗传(可逆)途径转变为失调表型,然后再转变为癌细胞状态。非癌细胞的表观遗传转变率可受微环境中癌细胞数量的影响(称为微环境反馈)。我们的模型描绘了微环境反馈加速癌症起始率的范围。此外,该模型还展示了微环境反馈何时以及如何可能抑制癌症的进展。我们讨论了我们的框架如何为一些令人困惑的癌症进展缓慢的实验观察结果提供解决方案。

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