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Non - cell - autonomous driving of tumour growth supports sub-clonal heterogeneity

机译:肿瘤生长的非细胞自主驱动支持亚克隆异质性

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摘要

Cancers arise through a process of somatic evolution that can result in substantial sub - clonal heterogeneity within tumours. The mechanisms responsible for the coexistence of distinct sub-clones and the biological consequences of this coexistence remain poorly understood. Here we used a mouse xenograft model to investigate the impact of sub-clonal heterogeneity a minor cell subpopulation, which enhances the proliferation of all cells within a tumour by overcoming environmental constraints and yet can be outcompeted by faster proliferating competitors, resulting in tumour collapse. We developed a mathematical modelling framework to identify the rules underlying the generation of intra-tumour clonal heterogeneity. We found that non-cell-autonomous driving of tumour growth, together with clonal interference, stabilizes sub-clonal heterogeneity, thereby enabling inter-clonal interactions that can lead to new phenotypic traits.%肿瘤经常由在基因损伤和生物性质上都不同的细胞群组成,但这种“亚克隆”异质性是怎样出现的以及它对癌症病情发展的后果是什么仍然比较模糊。现在,Kornelia Polyak及同事利用一个小鼠模型发现,肿瘤生长可以由一个小的细胞子类群通过一个非细胞自主机制(non-cell-autonomous mechanism)来驱动。然而,这一小的细胞子类群也可被更快的增殖竞争对手超越,导致肿瘤瓦解。这些结果显示了异质肿痼中亚克隆相互作用和克隆干涉的复杂性,对于治疗也有潜在的意义。
机译:癌症是通过体细胞进化的过程而产生的,该过程可能导致肿瘤内部实质性的亚克隆异质性。导致不同亚克隆共存的机制以及这种共存的生物学后果仍然知之甚少。在这里,我们使用小鼠异种移植模型来研究亚克隆异质性对次要细胞亚群的影响,该亚细胞异种亚群通过克服环境限制来增强肿瘤内所有细胞的增殖,但可以被更快增殖的竞争者所竞争,从而导致肿瘤崩溃。我们开发了一个数学建模框架,以识别肿瘤内克隆异质性产生基础的规则。我们发现,肿瘤生长的非细胞自主驱动以及克隆干扰能够稳定亚克隆异质性,从而实现克隆间相互作用,从而导致新的表型性状。现在,Kornelia Polyak和同事利用一个小鼠模型发现,肿瘤生长可以由一个小的细胞子类群通过一个非细胞自主机制(非细胞自主机制)来驱动。然而,这一小的细胞子类群也可被取代的扩展超越,导致肿瘤瓦解。这些结果显示了异质肿痼中亚克隆相互作用和克隆干涉的复杂性,对于治疗也有潜在的意义。

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  • 来源
    《Nature》 |2014年第7520期|54-58b1|共6页
  • 作者单位

    Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA,Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA,Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA;

    Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA,BBS Program, Harvard Medical School, Boston, Massachusetts 02115, USA;

    Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA,Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA,Program for Evolutionary Dynamics, Harvard University, Cambridge, Massachusetts 02138, USA;

    Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA,Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA,Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA;

    Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA,Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA;

    Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA,Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA,Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA,BBS Program, Harvard Medical School, Boston, Massachusetts 02115, USA,Harvard Stem Cell Institute and the Broad Institute, Cambridge, Massachusetts 02138, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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