Basse Britta, Baguley Bruce C, Marshall Elaine S, Joseph Wayne R, van Brunt Bruce, Wake Graeme, Wall David J N
Biomathematics Research Centre, University of Canterbury, Private Bag, 4800, Christchurch, New Zealand.
J Math Biol. 2003 Oct;47(4):295-312. doi: 10.1007/s00285-003-0203-0. Epub 2003 May 15.
The growth of human cancers is characterised by long and variable cell cycle times that are controlled by stochastic events prior to DNA replication and cell division. Treatment with radiotherapy or chemotherapy induces a complex chain of events involving reversible cell cycle arrest and cell death. In this paper we have developed a mathematical model that has the potential to describe the growth of human tumour cells and their responses to therapy. We have used the model to predict the response of cells to mitotic arrest, and have compared the results to experimental data using a human melanoma cell line exposed to the anticancer drug paclitaxel. Cells were analysed for DNA content at multiple time points by flow cytometry. An excellent correspondence was obtained between predicted and experimental data. We discuss possible extensions to the model to describe the behaviour of cell populations in vivo.
人类癌症的生长特点是细胞周期时间长且多变，这些时间由DNA复制和细胞分裂之前的随机事件控制。放射治疗或化学疗法会引发一系列复杂的事件，包括可逆的细胞周期停滞和细胞死亡。在本文中，我们开发了一个数学模型，该模型有潜力描述人类肿瘤细胞的生长及其对治疗的反应。我们使用该模型预测细胞对有丝分裂停滞的反应，并将结果与使用暴露于抗癌药物紫杉醇的人类黑色素瘤细胞系的实验数据进行比较。通过流式细胞术在多个时间点分析细胞的DNA含量。预测数据与实验数据之间获得了极佳的对应关系。我们讨论了该模型可能的扩展，以描述体内细胞群体的行为。
