Hanin Leonid
Department of Mathematics and Statistics, Idaho State University, 921 S. 8th Avenue, Stop 8085, Pocatello, ID 83209-8085, USA.
J Theor Biol. 2023 Sep 7;572:111582. doi: 10.1016/j.jtbi.2023.111582. Epub 2023 Jul 20.
Metastatic cascade is a multi-stage process that starts with separation of a cancer cell from the primary tumor and ends with the emergence of a detectable metastasis. In the process the initiator cancer cell enters the circulatory system (intravasates), flows with the blood, and exits the circulation (extravasates) into an organ or tissue. The time period between intravasation and extravasation constitutes the circulation stage of the metastatic cascade. This stage is unique in that it lends itself naturally to various non-invasive observations and measurements in an individual cancer patient. This creates an opportunity for gaining insight into metastasis, its mathematical modeling, and designing diagnostic/prognostic tools and new cancer therapies. Although mechanisms of intravasation, survival and extravasation of circulating tumor cells (CTCs) are very complex and largely unknown, mathematical modeling of the circulation stage of the metastatic cascade is facilitated by two inter-related factors: a relative simplicity of the circulatory network and the cyclic nature of blood flow. The article presents a single-subject stochastic model of CTC dynamics that leads to simple formulas, applicable to any homogeneous CTC population, for organ-specific extravasation probabilities, the distribution and expected value of the number, X, of circulation cycles completed by a CTC prior to extravasation, and the average circulation time. In particular, we found that the distribution of random variable X is geometric G(x), where parameter x is measurable, at least in principle, in an individual subject. We also discuss implications of our results for cancer research and treatment.
转移级联是一个多阶段过程,始于癌细胞从原发肿瘤分离,终于可检测到的转移灶出现。在此过程中,起始癌细胞进入循环系统(内渗),随血液流动,并离开循环系统(外渗)进入器官或组织。内渗和外渗之间的时间段构成转移级联的循环阶段。这个阶段的独特之处在于,它自然适合于对个体癌症患者进行各种非侵入性观察和测量。这为深入了解转移、其数学建模以及设计诊断/预后工具和新的癌症治疗方法创造了机会。尽管循环肿瘤细胞(CTC)的内渗、存活和外渗机制非常复杂且很大程度上未知,但转移级联循环阶段的数学建模因两个相互关联的因素而变得容易:循环网络相对简单以及血流的周期性。本文提出了一个单主体随机模型,用于描述CTC动力学,该模型得出了简单公式,适用于任何均匀的CTC群体,可计算器官特异性外渗概率、CTC在外渗前完成的循环次数X的分布和期望值,以及平均循环时间。特别是,我们发现随机变量X的分布是几何分布G(x),其中参数x至少在原则上可以在个体受试者中测量。我们还讨论了我们的结果对癌症研究和治疗的意义。