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本文引用的文献

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A two-stage theory of carcinogenesis in relation to the age distribution of human cancer.与人类癌症年龄分布相关的两阶段致癌理论。
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模拟肿瘤细胞间相互作用的后果。

Modelling the consequences of interactions between tumour cells.

作者信息

Tomlinson I P, Bodmer W F

机构信息

Cancer Genetics Laboratory, Imperial Cancer Research Fund, London, UK.

出版信息

Br J Cancer. 1997;75(2):157-60. doi: 10.1038/bjc.1997.26.

DOI:10.1038/bjc.1997.26
PMID:9010019
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2063276/
Abstract

Classical models of tumorigenesis assume that the mutations which cause tumours to grow act in a cell-autonomous fashion. This is not necessarily true. Sometimes tumour cells may adopt genetic strategies that boost their own replication and which also influence other cells in the tumour, whether directly or as a side-effect. Tumour growth as a whole might be enhanced or retarded. We have used mathematical models to study two non-autonomous strategies that tumour cells may use. First, we have considered the production by tumour cells of an angiogenesis growth factor that benefits both the cell from which it originates and neighbouring cells. Second, we have analysed a situation in which tumour cells produce autocrine-only or paracrine-only growth factors to prevent programmed cell death. In the angiogenesis model, stable genetic polymorphisms are likely to occur between cells producing and not producing the growth factor. In the programmed cell death model, cells with autocrine growth factor production can spread throughout the tumour. Production of paracrine-only growth factor is never selected because it is 'altruistic' (that is of no benefit to the cell that makes the growth factor), despite being potentially beneficial to tumour growth as a whole. No polymorphisms can occur in the programmed cell death model. Production of angiogenesis and other growth factors in tumours may be under stable genetic, rather than epigenetic, control, with implications for therapies aimed at such targets. Many of the mutations observed in tumours may have non-autonomous effects.

摘要

传统的肿瘤发生模型假定,导致肿瘤生长的突变以细胞自主方式起作用。但未必如此。有时肿瘤细胞可能会采用一些遗传策略,这些策略既能促进自身复制,也会直接或作为副作用影响肿瘤中的其他细胞。肿瘤整体的生长可能会增强或受到抑制。我们使用数学模型研究了肿瘤细胞可能采用的两种非自主策略。首先,我们考虑了肿瘤细胞产生一种血管生成生长因子的情况,这种因子对其产生细胞和邻近细胞都有益。其次,我们分析了肿瘤细胞仅产生自分泌或仅产生旁分泌生长因子以防止程序性细胞死亡的情况。在血管生成模型中,产生和不产生生长因子的细胞之间可能会出现稳定的遗传多态性。在程序性细胞死亡模型中,产生自分泌生长因子的细胞可以在整个肿瘤中扩散。仅产生旁分泌生长因子的情况从未被选择,因为它是“利他的”(即对产生生长因子的细胞没有益处),尽管对肿瘤整体生长可能有益。在程序性细胞死亡模型中不会出现多态性。肿瘤中血管生成和其他生长因子的产生可能受稳定的遗传而非表观遗传控制,这对针对此类靶点的治疗有影响。在肿瘤中观察到的许多突变可能具有非自主效应。