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An integrated systems-based modelling framework for investigating the effect of anticancer drugs on solid tumours

机译:基于系统的集成建模框架,用于研究抗癌药对实体瘤的作用

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Background. The effectiveness of clinical chemotherapy is dependent on the penetration ofanticancer agents in tumour tissues and the responsiveness of tumour cells towards exposureto administered drugs. Most blood-borne anticancer drugs gain their access to tumour cells bygoing through a series of physical and biological processes, including convection in thetumour vasculature, extravasation across the capillary wall, penetration through the tumourinterstitium and finally translocation inside tumour cells. However, these transport processesare often impaired by the abnormal tumour microenvironment (i.e. irregular tumourvasculature, elevated interstitial fluid pressure, and extracellular matrix composition),resulting in limited drug concentration available at the target site. Upon interaction with theirintracellular targets, anticancer drugs induce multiple cellular signalling pathways, throughwhich they exert therapeutic effects with apoptosis (programmed cell death) being of primaryinterest. The way by which cellular signalling functions is extremely complex as cellularpathways are carried out in a complex and interconnected network and usually display highlynon-linear input-output relationships. Given the complexities associated with drug transportin tumour tissues and intracellular signal transduction, understanding the effect of anticancerdrugs on solid tumours presents a highly challenging problem.Methods. In this study, an integrated systems-based modelling framework is developedwhich is capable of (ⅰ) capturing relevant biological processes and their interconnections, and(ⅱ) providing predictive and mechanistic insight into the effects of chemotherapeutic agents.As a first attempt, the model starts with basic descriptions of the essential elements with afocus on their integration in the system. The essential modules include drug transport,intracellular apoptosis signalling and tumour cell density dynamics.Drug transport in tumour tissue is described by a diffusion-convection-reaction equation, withdoxorubicin as the anti-cancer drug for modelling purpose. Velocity field is obtained by
机译:背景。临床化学疗法的有效性取决于药物的渗透 肿瘤组织中的抗癌药和肿瘤细胞对暴露的反应 服用药物。大多数血源性抗癌药物通过以下途径进入肿瘤细胞 经历了一系列的物理和生物过程,包括对流 肿瘤脉管系统,毛细血管壁外渗,穿过肿瘤 间质,最后在肿瘤细胞内移位。但是,这些运输过程 通常会因异常的肿瘤微环境(即不规则肿瘤)而受损 脉管系统,升高的组织液压力和细胞外基质组成), 导致目标部位的药物浓度有限。与他们互动时 在细胞内靶点上,抗癌药物通过以下途径诱导多种细胞信号通路 发挥细胞凋亡(程序性细胞死亡)的治疗作用 兴趣。像蜂窝一样,蜂窝信号功能的方式也极其复杂 路径是在复杂且相互关联的网络中执行的,通常显示得很高 非线性输入输出关系。鉴于毒品运输的复杂性 在肿瘤组织和细胞内信号转导中,了解抗癌作用 实体瘤上的药物治疗是一个极具挑战性的问题。 方法。在这项研究中,开发了一个基于系统的集成建模框架 能够(ⅰ)捕获相关的生物过程及其相互联系,以及 (ⅱ)提供有关化学治疗剂作用的预测性和机械性见解。 首次尝试时,该模型从基本要素的基本描述开始,并以 专注于它们在系统中的集成。基本模块包括毒品运输, 细胞内凋亡信号和肿瘤细胞密度动态。 肿瘤组织中的药物转运通过扩散-对流-反应方程式描述,其中 阿霉素作为抗癌药物,用于建模目的。速度场是通过

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