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Reverting to single-cell biology: The predictions of the atavism theory of cancer.回归单细胞生物学:癌症返祖理论的预测。
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Bioinformatic approaches to the investigation of the atavistic genes implicated in cancer.用于研究与癌症相关的返祖基因的生物信息学方法。
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Critically assessing atavism, an evolution-centered and deterministic hypothesis on cancer.批判性评估返祖现象,这是一种关于癌症的以进化为中心和决定论的假说。
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Predictive genomics: a cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data.预测基因组学:使用基因组测序数据预测肿瘤临床表型的癌症标志网络框架。
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Somatic mutations in early metazoan genes disrupt regulatory links between unicellular and multicellular genes in cancer.体细胞突变早期后生动物基因扰乱癌症中单细胞和多细胞基因之间的调控联系。
Elife. 2019 Feb 26;8:e40947. doi: 10.7554/eLife.40947.

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Systemic Alterations of Cancer Cells and Their Boost by Polyploidization: Unicellular Attractor (UCA) Model.癌细胞的系统改变及其多倍化促进作用:单细胞吸引子(UCA)模型。
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model in cancer research and tumor immunology.在癌症研究和肿瘤免疫学中的模型。
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Cellular Biogenetic Law and Its Distortion by Protein Interactions: A Possible Unified Framework for Cancer Biology and Regenerative Medicine.细胞生物发生律及其被蛋白质相互作用扭曲:癌症生物学和再生医学的一个可能统一框架。
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本文引用的文献

1
Somatic mutation distributions in cancer genomes vary with three-dimensional chromatin structure.体细胞突变在肿瘤基因组中的分布与三维染色质结构有关。
Nat Genet. 2020 Nov;52(11):1178-1188. doi: 10.1038/s41588-020-0708-0. Epub 2020 Oct 5.
2
MTOR signaling orchestrates stress-induced mutagenesis, facilitating adaptive evolution in cancer.mTOR 信号调控应激诱导的突变,促进癌症中的适应性进化。
Science. 2020 Jun 5;368(6495):1127-1131. doi: 10.1126/science.aau8768.
3
Regulation of the error-prone DNA polymerase Polκ by oncogenic signaling and its contribution to drug resistance.致癌信号对易错 DNA 聚合酶 Polκ的调节及其对耐药性的贡献。
Sci Signal. 2020 Apr 28;13(629):eaau1453. doi: 10.1126/scisignal.aau1453.
4
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.分析 2658 个癌症全基因组中的非编码体细胞驱动因子。
Nature. 2020 Feb;578(7793):102-111. doi: 10.1038/s41586-020-1965-x. Epub 2020 Feb 5.
5
Patterns of somatic structural variation in human cancer genomes.人类癌症基因组中体结构变异的模式。
Nature. 2020 Feb;578(7793):112-121. doi: 10.1038/s41586-019-1913-9. Epub 2020 Feb 5.
6
Pan-cancer analysis of whole genomes.泛癌症全基因组分析。
Nature. 2020 Feb;578(7793):82-93. doi: 10.1038/s41586-020-1969-6. Epub 2020 Feb 5.
7
Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition.全基因组泛癌症分析鉴定了由 LINE-1 反转录转座促进的驱动重排。
Nat Genet. 2020 Mar;52(3):306-319. doi: 10.1038/s41588-019-0562-0. Epub 2020 Feb 5.
8
Adaptive mutability of colorectal cancers in response to targeted therapies.结直肠癌对靶向治疗的适应性突变。
Science. 2019 Dec 20;366(6472):1473-1480. doi: 10.1126/science.aav4474. Epub 2019 Nov 7.
9
Multidrug Cancer Therapy in Metastatic Castrate-Resistant Prostate Cancer: An Evolution-Based Strategy.转移性去势抵抗性前列腺癌的多药癌症治疗:基于进化的策略。
Clin Cancer Res. 2019 Jul 15;25(14):4413-4421. doi: 10.1158/1078-0432.CCR-19-0006. Epub 2019 Apr 16.
10
Somatic mutations in early metazoan genes disrupt regulatory links between unicellular and multicellular genes in cancer.体细胞突变早期后生动物基因扰乱癌症中单细胞和多细胞基因之间的调控联系。
Elife. 2019 Feb 26;8:e40947. doi: 10.7554/eLife.40947.

回归单细胞生物学:癌症返祖理论的预测。

Reverting to single-cell biology: The predictions of the atavism theory of cancer.

作者信息

Bussey Kimberly J, Davies Paul C W

机构信息

Precision Medicine, Midwestern University, Glendale, AZ, USA; The BEYOND Center for Fundamental Concepts in Science, Department of Physics, Arizona State University, Tempe, AZ, USA.

The BEYOND Center for Fundamental Concepts in Science, Department of Physics, Arizona State University, Tempe, AZ, USA.

出版信息

Prog Biophys Mol Biol. 2021 Oct;165:49-55. doi: 10.1016/j.pbiomolbio.2021.08.002. Epub 2021 Aug 8.

DOI:10.1016/j.pbiomolbio.2021.08.002
PMID:34371024
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8833046/
Abstract

Cancer or cancer-like phenomena pervade multicellular life, implying deep evolutionary roots. Many of the hallmarks of cancer recapitulate unicellular modalities, suggesting that cancer initiation and progression represent a systematic reversion to simpler ancestral phenotypes in response to a stress or insult. This so-called atavism theory may be tested using phylostratigraphy, which can be used to assign ages to genes. Several research groups have confirmed that cancer cells tend to over-express evolutionary older genes, and rewire the architecture linking unicellular and multicellular gene networks. In addition, some of the elevated mutation rate - a well-known hallmark of cancer - is actually self-inflicted, driven by genes found to be homologs of the ancient SOS genes activated in stressed bacteria, and employed to evolve biological workarounds. These findings have obvious implications for therapy.

摘要

癌症或类似癌症的现象在多细胞生物中普遍存在,这意味着其有着深厚的进化根源。癌症的许多特征重现了单细胞模式,这表明癌症的发生和发展代表了一种对压力或损伤的系统性逆转,回归到更简单的祖先表型。这种所谓的返祖理论可以通过系统发育地层学来检验,该方法可用于给基因确定年代。几个研究小组已经证实,癌细胞倾向于过度表达进化上更古老的基因,并重新连接单细胞和多细胞基因网络的架构。此外,一些升高的突变率——癌症的一个众所周知的特征——实际上是自我造成的,由那些被发现是在受应激细菌中被激活的古老SOS基因的同源基因驱动,并被用于进化出生物学上的变通方法。这些发现对治疗有着明显的启示。