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In-silico dynamic analysis of cytotoxic drug administration to solid tumours: Effect of binding affinity and vessel permeability

机译:实体瘤细胞毒性药物给药的计算机动态分析:结合亲和力和血管通透性的影响

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Author summary One of the main challenges in optimising cancer therapy is understanding the in-vivo cancer environment and how it changes over time. The efficacy of chemotherapeutic drugs is known to be strongly dependent on blood vessel wall properties and the architecture of the developing tumour vasculature, which in turn are dependent on biochemical and mechanical interactions between cancer cells and their microenvironment. Here we present a novel in-silico modelling framework of dynamic tumour growth, angiogenesis and drug delivery, and we use it to explore biophysical factors governing the efficient delivery of cytotoxic drugs to solid tumours. We find that the time of treatment and vessel permeability are important factors for the efficacy of chemical agents with low binding affinity, that high affinity drugs can impact the tumour vasculature remodelling and bring vascular structure back to a more normalised state, and that the combination of large-sized vessel wall pores and high affinity enhances cytotoxic drug delivery and efficacy. These results have implications for treatment planning and optimisation, and show how in-silico models can be used to help understand and optimise cancer therapy.
机译:作者摘要优化癌症疗法的主要挑战之一是了解体内癌症环境及其随时间的变化。众所周知,化学治疗药物的功效在很大程度上取决于血管壁的特性和正在形成的肿瘤脉管系统的结构,而肿瘤血管的结构又取决于癌细胞与其微环境之间的生化和机械相互作用。在这里,我们介绍了动态肿瘤生长,血管生成和药物递送的新型计算机模拟模型框架,并使用它来探索控制细胞毒性药物向实体瘤有效递送的生物物理因素。我们发现治疗时间和血管通透性是影响具有低结合亲和力的化学药物的功效的重要因素,高亲和力的药物可以影响肿瘤血管的重塑并使血管结构恢复到更正常的状态,并且大的血管壁孔和高亲和力可增强细胞毒性药物的输送和功效。这些结果对治疗计划和优化有影响,并表明如何使用计算机模拟模型来帮助理解和优化癌症治疗。

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