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On the growth and dissemination laws in a mathematical model of metastatic growth

机译:论数学模型中的成长与传播规律   转移性生长

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摘要

Metastasis represents one of the main clinical challenge in cancer treatmentsince it is associated with the majority of deaths. Recent technologicaladvances allow quantification of the dynamics of the process by means ofnoninvasive techniques such as longitudinal tracking of bioluminescent cells.The metastatic process was simplified here into two essential components --dissemination and colonization -- which were mathematically formalized in termsof simple quantitative laws. The resulting mathematical model was confronted toin vivo experimental data of spontaneous metastasis after primary tumorresection. We discuss how much information can be inferred from confrontationof theories to the data with emphasis on identifiability issues. It is shownthat two mutually exclusive assumptions for the secondary growth law (namelysame or different from the primary tumor growth law) could fit equally well thedata. Similarly, the fractal dimension coefficient in the dissemination lawcould not be uniquely determined from data on total metastatic burden only.Together, these results delimitate the range of information that can berecovered from fitting data of metastatic growth to already simplifiedmathematical models.
机译:转移是癌症治疗中的主要临床挑战之一,因为它与大多数死亡相关。最近的技术进步允许通过非侵入性技术(例如生物发光细胞的纵向跟踪)来量化过程的动力学。此处将转移过程简化为两个基本组成部分-传播和定植-根据简单的定量定律在数学上形式化。所得的数学模型与原发肿瘤切除后自发转移的体内实验数据相面对。我们讨论了从对抗理论到数据中可以推断出多少信息,重点是可识别性问题。结果表明,二级生长规律的两个互斥假设(即与初级肿瘤生长规律相同或不同)可以很好地拟合数据。同样,传播规律中的分形维数系数也不能仅根据总转移负担的数据来唯一确定。这些结果共同限制了可以从转移增长数据拟合到已经简化的数学模型中恢复的信息范围。

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