Stine Caleb A, Munson Jennifer M
Department of Biomedical Engineering and Mechanics, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States.
Front Oncol. 2019 Oct 2;9:966. doi: 10.3389/fonc.2019.00966. eCollection 2019.
Convection-enhanced delivery (CED) is a method used to increase transport of therapeutics in and around brain tumors. CED works through locally applying a pressure differential to drive fluid flow throughout the tumor, such that convective forces dominate over diffusive transport. This allows therapies to bypass the blood brain barrier that would otherwise be too large or solely rely on passive diffusion. However, this also drives fluid flow out through the tumor bulk into surrounding brain parenchyma, which results in increased interstitial fluid (IF) flow, or fluid flow within extracellular spaces in the tissue. IF flow has been associated with altered transport of molecules, extracellular matrix rearrangement, and triggering of cellular motility through a number of mechanisms. Thus, the results of a simple method to increase drug delivery may have unintended consequences on tissue morphology. Clinically, prediction of dispersal of agents via CED is important to catheter design, placement, and implementation to optimize contact of tumor cells with therapeutic agent. Prediction software can aid in this problem, yet we wonder if there is a better way to predict therapeutic distribution based simply on IF flow pathways as determined from pre-intervention imaging. Overall, CED based therapy has seen limited success and we posit that integration and appreciation of altered IF flow may enhance outcomes. Thus, in this manuscript we both review the current state of the art in CED and IF flow mechanistic understanding and relate these two elements to each other in a clinical context.
对流增强递送(CED)是一种用于增加治疗药物在脑肿瘤内部及周围运输的方法。CED通过局部施加压力差来驱动流体在整个肿瘤中流动,使得对流力在扩散运输中占主导地位。这使得治疗药物能够绕过原本过大或仅依赖被动扩散的血脑屏障。然而,这也会驱使流体从肿瘤主体流出进入周围脑实质,从而导致间质液(IF)流动增加,即组织细胞外空间内的流体流动。IF流动与分子运输改变、细胞外基质重排以及通过多种机制触发细胞运动有关。因此,一种简单的增加药物递送方法的结果可能会对组织形态产生意想不到的影响。临床上,预测通过CED递送的药物的扩散情况对于导管设计、放置和实施以优化肿瘤细胞与治疗药物的接触至关重要。预测软件可以帮助解决这个问题,但我们想知道是否有一种更好的方法,仅基于干预前成像确定的IF流动路径来预测治疗药物的分布。总体而言,基于CED的治疗取得的成功有限,我们认为整合并认识到IF流动的改变可能会改善治疗效果。因此,在本手稿中,我们既回顾了CED和IF流动机制理解的当前技术水平,并在临床背景下将这两个要素相互关联。