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癌症进化的尺度:自私的基因组还是协作的细胞?

Scales of Cancer Evolution: Selfish Genome or Cooperating Cells?

作者信息

Brutovský Branislav

机构信息

Department of Biophysics, Faculty of Science, P. J. Šafárik University, Jesenná 5, 041 54 Košice, Slovakia.

出版信息

Cancers (Basel). 2022 Jul 1;14(13):3253. doi: 10.3390/cancers14133253.

DOI:10.3390/cancers14133253
PMID:35805025
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9264996/
Abstract

The exploitation of the evolutionary modus operandi of cancer to steer its progression towards drug sensitive cancer cells is a challenging research topic. Integrating evolutionary principles into cancer therapy requires properly identified selection level, the relevant timescale, and the respective fitness of the principal selection unit on that timescale. Interpretation of some features of cancer progression, such as increased heterogeneity of isogenic cancer cells, is difficult from the most straightforward evolutionary view with the cancer cell as the principal selection unit. In the paper, the relation between the two levels of intratumour heterogeneity, genetic, due to genetic instability, and non-genetic, due to phenotypic plasticity, is reviewed and the evolutionary role of the latter is outlined. In analogy to the evolutionary optimization in a changing environment, the cell state dynamics in cancer clones are interpreted as the risk diversifying strategy bet hedging, optimizing the balance between the exploitation and exploration of the cell state space.

摘要

利用癌症的进化运作方式,引导其向对药物敏感的癌细胞发展,是一个具有挑战性的研究课题。将进化原理整合到癌症治疗中,需要正确识别选择水平、相关时间尺度以及该时间尺度上主要选择单元的各自适应性。从以癌细胞为主要选择单元的最直接进化观点来看,很难解释癌症进展的一些特征,比如同基因癌细胞异质性增加。本文回顾了肿瘤内两种异质性水平之间的关系,即由于基因不稳定导致的遗传异质性和由于表型可塑性导致的非遗传异质性,并概述了后者的进化作用。类似于在变化环境中的进化优化,癌症克隆中的细胞状态动态被解释为风险多样化策略——套期保值,优化细胞状态空间利用与探索之间的平衡。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/960c/9264996/1f0de8f6b0df/cancers-14-03253-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/960c/9264996/227d60ab2bce/cancers-14-03253-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/960c/9264996/3f626b4707bf/cancers-14-03253-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/960c/9264996/df173815d292/cancers-14-03253-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/960c/9264996/1f0de8f6b0df/cancers-14-03253-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/960c/9264996/227d60ab2bce/cancers-14-03253-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/960c/9264996/3f626b4707bf/cancers-14-03253-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/960c/9264996/df173815d292/cancers-14-03253-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/960c/9264996/1f0de8f6b0df/cancers-14-03253-g004.jpg

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本文引用的文献

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Delineating the evolutionary dynamics of cancer from theory to reality.描绘癌症从理论到现实的进化动力学。
Nat Cancer. 2020 Jun;1(6):580-588. doi: 10.1038/s43018-020-0079-6. Epub 2020 Jun 22.
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The role of memory in non-genetic inheritance and its impact on cancer treatment resistance.记忆在非遗传继承中的作用及其对癌症治疗耐药性的影响。
PLoS Comput Biol. 2021 Aug 30;17(8):e1009348. doi: 10.1371/journal.pcbi.1009348. eCollection 2021 Aug.
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Cancer evolution: Darwin and beyond.癌症进化:达尔文及以后。
近期对尿液或血液外泌体中隐藏的实体癌生物标志物的探索,这些生物标志物为未来癌症诊断提供基础信息。
Diagnostics (Basel). 2025 Mar 5;15(5):628. doi: 10.3390/diagnostics15050628.
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Leveraging Cancer Phenotypic Plasticity for Novel Treatment Strategies.利用癌症表型可塑性制定新型治疗策略。
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The two sides of chromosomal instability: drivers and brakes in cancer.染色体不稳定性的两面:癌症中的驱动因素和刹车。
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Heterogeneity and treatment landscape of ovarian carcinoma.卵巢癌的异质性和治疗现状。
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Clinical implications of lncRNA LINC-PINT in cancer.长链非编码RNA LINC-PINT在癌症中的临床意义
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The Mystery of Cancer Resistance: A Revelation Within Nature.癌症抗性之谜:自然中的启示
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Identifying key questions in the ecology and evolution of cancer.确定癌症生态与进化中的关键问题。
Evol Appl. 2021 Feb 8;14(4):877-892. doi: 10.1111/eva.13190. eCollection 2021 Apr.
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Group phenotypic composition in cancer.癌症中的群体表型组成。
Elife. 2021 Mar 30;10:e63518. doi: 10.7554/eLife.63518.
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Nat Rev Clin Oncol. 2020 Nov;17(11):675-686. doi: 10.1038/s41571-020-0411-1. Epub 2020 Jul 22.
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