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一种用于增强肿瘤细胞杀伤的化疗药物传输时空模型的理论与实验验证

Theory and Experimental Validation of a Spatio-temporal Model of Chemotherapy Transport to Enhance Tumor Cell Kill.

作者信息

Wang Zhihui, Kerketta Romica, Chuang Yao-Li, Dogra Prashant, Butner Joseph D, Brocato Terisse A, Day Armin, Xu Rong, Shen Haifa, Simbawa Eman, Al-Fhaid A S, Mahmoud S R, Curley Steven A, Ferrari Mauro, Koay Eugene J, Cristini Vittorio

机构信息

Department of NanoMedicine and Biomedical Engineering, University of Texas Medical School at Houston, Houston, Texas, United States of America.

Brown Foundation Institute of Molecular Medicine, University of Texas Medical School at Houston, Houston, Texas, United States of America.

出版信息

PLoS Comput Biol. 2016 Jun 10;12(6):e1004969. doi: 10.1371/journal.pcbi.1004969. eCollection 2016 Jun.

Abstract

Cancer treatment efficacy can be significantly enhanced through the elution of drug from nano-carriers that can temporarily stay in the tumor vasculature. Here we present a relatively simple yet powerful mathematical model that accounts for both spatial and temporal heterogeneities of drug dosing to help explain, examine, and prove this concept. We find that the delivery of systemic chemotherapy through a certain form of nano-carriers would have enhanced tumor kill by a factor of 2 to 4 over the standard therapy that the patients actually received. We also find that targeting blood volume fraction (a parameter of the model) through vascular normalization can achieve more effective drug delivery and tumor kill. More importantly, this model only requires a limited number of parameters which can all be readily assessed from standard clinical diagnostic measurements (e.g., histopathology and CT). This addresses an important challenge in current translational research and justifies further development of the model towards clinical translation.

摘要

通过从可暂时滞留在肿瘤脉管系统中的纳米载体洗脱药物,癌症治疗效果可得到显著提高。在此,我们提出了一个相对简单但强大的数学模型,该模型考虑了给药的空间和时间异质性,以帮助解释、检验和证明这一概念。我们发现,通过某种形式的纳米载体进行全身化疗,与患者实际接受的标准治疗相比,肿瘤杀伤能力可提高2至4倍。我们还发现,通过血管正常化来靶向血容量分数(该模型的一个参数)可实现更有效的药物递送和肿瘤杀伤。更重要的是,该模型仅需要有限数量的参数,所有这些参数都可以很容易地从标准临床诊断测量(如组织病理学和CT)中评估得到。这解决了当前转化研究中的一个重要挑战,并证明了该模型朝着临床转化方向进一步发展的合理性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4928/4902302/579ff7f0296b/pcbi.1004969.g001.jpg

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