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In-Vitro Tumor Microenvironment Models Containing Physical and Biological Barriers for Modelling Multidrug Resistance Mechanisms and Multidrug Delivery Strategies Publisher Pubmed



Rahmanian M1 ; Seyfoori A1 ; Ghasemi M2 ; Shamsi M3, 4 ; Kolahchi AR4 ; Modarres HP4 ; Sanatinezhad A3, 4 ; Majidzadeha K1, 2
Authors
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Authors Affiliations
  1. 1. Biomaterials and Tissue Engineering Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, 1517964311, Iran
  2. 2. Genetics Department, Breast Cancer Research Center (BCRC), Motamed Cancer Institute, ACECR, Tehran, 1517964311, Iran
  3. 3. Center for BioEngineering Research and Education (CBRE), University of Calgary, Calgary, T2N 1N4, AB, Canada
  4. 4. BioMEMS and Bioinspired Microfluidic Laboratory, Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, T2N 1N4, AB, Canada

Source: Journal of Controlled Release Published:2021


Abstract

The complexity and heterogeneity of the three-dimensional (3D) tumor microenvironment have brought challenges to tumor studies and cancer treatment. The complex functions and interactions of cells involved in tumor microenvironment have led to various multidrug resistance (MDR) and raised challenges for cancer treatment. Traditional tumor models are limited in their ability to simulate the resistance mechanisms and not conducive to the discovery of multidrug resistance and delivery processes. New technologies for making 3D tissue models have shown the potential to simulate the 3D tumor microenvironment and identify mechanisms underlying the MDR. This review overviews the main barriers against multidrug delivery in the tumor microenvironment and highlights the advances in microfluidic-based tumor models with the success in simulating several drug delivery barriers. It also presents the progress in modeling various genetic and epigenetic factors involved in regulating the tumor microenvironment as a noticeable insight in 3D microfluidic tumor models for recognizing multidrug resistance and delivery mechanisms. Further correlation between the results obtained from microfluidic drug resistance tumor models and the clinical MDR data would open up avenues to gain insight into the performance of different multidrug delivery treatment strategies. © 2021 Elsevier B.V.
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