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利用替代策略增强纳米颗粒递送至实体瘤。

The Use of Alternative Strategies for Enhanced Nanoparticle Delivery to Solid Tumors.

机构信息

NanoHealth and Optical Imaging Group, Translational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Herestraat 49, B3000 Leuven, Belgium.

Translational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Herestraat 49, B3000 Leuven, Belgium.

出版信息

Chem Rev. 2021 Feb 10;121(3):1746-1803. doi: 10.1021/acs.chemrev.0c00779. Epub 2021 Jan 14.

Abstract

Nanomaterial (NM) delivery to solid tumors has been the focus of intense research for over a decade. Classically, scientists have tried to improve NM delivery by employing passive or active targeting strategies, making use of the so-called enhanced permeability and retention (EPR) effect. This phenomenon is made possible due to the leaky tumor vasculature through which NMs can leave the bloodstream, traverse through the gaps in the endothelial lining of the vessels, and enter the tumor. Recent studies have shown that despite many efforts to employ the EPR effect, this process remains very poor. Furthermore, the role of the EPR effect has been called into question, where it has been suggested that NMs enter the tumor active mechanisms and not through the endothelial gaps. In this review, we provide a short overview of the EPR and mechanisms to enhance it, after which we focus on alternative delivery strategies that do not solely rely on EPR in itself but can offer interesting pharmacological, physical, and biological solutions for enhanced delivery. We discuss the strengths and shortcomings of these different strategies and suggest combinatorial approaches as the ideal path forward.

摘要

纳米材料(NM)向实体瘤的输送一直是十多年来研究的重点。传统上,科学家们试图通过采用被动或主动靶向策略来改善 NM 的输送,利用所谓的增强渗透性和保留(EPR)效应。这种现象是由于肿瘤血管的渗漏,纳米材料可以通过这种渗漏离开血液,穿过血管内皮衬里的间隙,并进入肿瘤。最近的研究表明,尽管人们努力利用 EPR 效应,但这一过程仍然非常不理想。此外,EPR 效应的作用也受到质疑,有人认为 NM 通过主动机制进入肿瘤,而不是通过内皮间隙。在这篇综述中,我们首先简要概述了 EPR 及其增强机制,然后重点介绍了不依赖于 EPR 本身的替代输送策略,这些策略为增强输送提供了有趣的药理学、物理学和生物学解决方案。我们讨论了这些不同策略的优缺点,并提出组合方法是理想的前进方向。

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