In vitro microfluidic models of tumor microenvironment to screen transport of drugs and nanoparticles.
In vitro microfluidic models of tumor microenvironment to screen transport of drugs and nanoparticles.
复制标题
DOI:
10.1002/wnan.1460
复制
发表时间:
2017-09
期刊:
影响因子:
--
通讯作者:
Han B
中科院分区:
文献类型:
--
作者:
Ozcelikkale A;Moon HR;Linnes M;Han B
Advances in nanotechnology have enabled numerous types of nanoparticles (NPs) to improve drug delivery to tumors. While many NP systems have been proposed, their clinical translation has been less than anticipated primarily due to failure of current preclinical evaluation techniques to adequately model the complex interactions between the NP and physiological barriers of tumor microenvironment. This review focuses on microfluidic tumor models for characterization of delivery efficacy and toxicity of cancer nanomedicine. Microfluidics offer significant advantages over traditional macro-scale cell cultures by enabling recapitulation of tumor microenvironment through precise control of physiological cues such as hydrostatic pressure, shear stress, oxygen and nutrient gradients. Microfluidic systems have recently started to be adapted for screening of drugs and NPs under physiologically relevant settings. So far the two primary application areas of microfluidics in this area have been high throughput screening using traditional culture settings such as single cells or multicellular tumor spheroids, and mimicry of tumor microenvironment for study of cancer-related cell-cell and cell-matrix interactions. These microfluidic technologies are also useful in modeling specific steps in NP delivery to tumor and characterize NP transport properties and outcomes by systematic variation of physiological conditions. Ultimately, it will be possible to design drug-screening platforms uniquely tailored for individual patient physiology using microfluidics. These in vitro models can contribute to development of precision medicine by enabling rapid and patient-specific evaluation of cancer nanomedicine.
登录
查看更多内容
影响因子:
3.8
作者:
Clift, Martin J. D.;Rothen-Rutishauser, Barbara;Stone, Vicki
通讯作者:
Stone, Vicki
影响因子:
3.3
作者:
Arnida;Malugin, Alexander;Ghandehari, Hamidreza
通讯作者:
Ghandehari, Hamidreza
影响因子:
14
作者:
Adriani, Giulia;de Tullio, Marco Donato;Ferrari, Mauro;Hussain, Fazle;Pascazio, Giuseppe;Liu, Xuewu;Decuzzi, Paolo
通讯作者:
Decuzzi, Paolo
影响因子:
46.9
作者:
Bhatia, Sangeeta N.;Ingber, Donald E.
通讯作者:
Ingber, Donald E.
影响因子:
5.8
作者:
Clay, Nicholas Edwin;Shin, Kyeonggon;Kong, Hyunjoon
通讯作者:
Kong, Hyunjoon