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揭示 MHC Ⅰ类多样性的癌症免疫的潜在物理机制。

Uncovering the underlying physical mechanism for cancer-immunity of MHC class I diversity.

机构信息

State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, China.

State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, China; Department of Chemistry and Physics, State University of New York at Stony Brook, Stony Brook, NY, USA.

出版信息

Biochem Biophys Res Commun. 2018 Oct 2;504(2):532-537. doi: 10.1016/j.bbrc.2018.08.170. Epub 2018 Sep 7.

Abstract

The cancer cells are heterogeneous populated, which can be classified as MHC class I positive and MHC I class negative. They influence the immune system differently. In this work, we build a core cancer-immune circuit of MHC class I diversity including MHC class I positive cancer type, MHC I class I negative cancer type and 4 immune cell types to uncover the underlying mechanism of the cancer immunity based on the underlying landscape topography. We quantify four steady state attractors, normal state, two low cancer states and a high cancer state. The landscape topography changes upon changes in cancer self-activation and the related killing rate of the killer cells are illustrated. It demonstrates that the competition between the two cancer cell types. We simulate the tumorigenesis and development of cancer according to its biological process and classify these into 7 stages. This landscape framework provides a quantitative way to understand characteristics of these two cancer cell types under immune microenvironment and the underlying physical mechanisms of cancer cell evolution along cancer development.

摘要

癌细胞呈异质性分布,可分为 MHC I 阳性和 MHC I 阴性。它们对免疫系统的影响不同。在这项工作中,我们构建了一个 MHC I 多样性的核心癌症-免疫回路,包括 MHC I 阳性癌症类型、MHC I 阴性癌症类型和 4 种免疫细胞类型,以基于潜在的景观地形揭示癌症免疫的潜在机制。我们量化了四个稳态吸引子,正常状态、两个低癌症状态和一个高癌症状态。当癌症自我激活发生变化以及杀伤细胞的相关杀伤率发生变化时,景观地形会发生变化。它表明了两种癌细胞类型之间的竞争。我们根据其生物学过程模拟肿瘤的发生和发展,并将其分为 7 个阶段。这个景观框架提供了一种定量的方法来理解免疫微环境下这两种癌细胞类型的特征,以及癌症发展过程中癌细胞进化的潜在物理机制。

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