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首页> 外文期刊>Cancer research: The official organ of the American Association for Cancer Research, Inc >Spreaders and sponges define metastasis in lung cancer: A markov chain monte carlo mathematical model
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Spreaders and sponges define metastasis in lung cancer: A markov chain monte carlo mathematical model

机译：扩散器和海绵确定了肺癌的转移：Markov链蒙特卡洛数学模型

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摘要

The classic view of metastatic cancer progression is that it is a unidirectional process initiated at the primary tumor site, progressing to variably distant metastatic sites in a fairly predictable, although not perfectly understood, fashion. A Markov chain Monte Carlo mathematical approach can determine a pathway diagram that classifies metastatic tumors as "spreaders" or "sponges" and orders the timescales of progression from site to site. In light of recent experimental evidence highlighting the potential significance of self-seeding of primary tumors, we use a Markov chain Monte Carlo (MCMC) approach, based on large autopsy data sets, to quantify the stochastic, systemic, and often multidirectional aspects of cancer progression. We quantify three types of multidirectional mechanisms of progression: (i) self-seeding of the primary tumor, (ii) reseeding of the primary tumor from a metastatic site (primary reseeding), and (iii) reseeding of metastatic tumors (metastasis reseeding). The model shows that the combined characteristics of the primary and the first metastatic site to which it spreads largely determine the future pathways and timescales of systemic disease. Cancer Res; 73(9); 2760-9.
机译：关于转移性癌症进展的经典观点是，它是在原发性肿瘤部位开始的单向过程，以相当可预测的（尽管不是很清楚）的方式进展到可变远处的转移部位。马尔可夫链蒙特卡罗数学方法可以确定将转移性肿瘤归类为“扩散物”或“海绵”的通路图，并命令从部位到部位进展的时间尺度。鉴于最近的实验证据强调了原发性肿瘤自我播种的潜在重要性，我们基于大型尸检数据集，使用马尔可夫链蒙特卡洛（MCMC）方法来量化癌症的随机，系统性以及通常为多方向性进展。我们量化了三种类型的多方向进展机制：（i）原发性肿瘤的自我播种，（ii）从转移部位的原发性肿瘤播种（原发性播种），以及（iii）转移性肿瘤的播种（转移性播种） 。该模型表明，原发灶和第一个转移灶所传播的特征在很大程度上决定了系统性疾病的未来途径和时间表。癌症研究; 73（9）; 2760-9。

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