Literature DB >> 33667959

In vitro biomimetic models for glioblastoma-a promising tool for drug response studies.

Tijana Stanković1, Teodora Ranđelović2, Miodrag Dragoj1, Sonja Stojković Burić1, Luis Fernández3, Ignacio Ochoa3, Victor M Pérez-García4, Milica Pešić5.   

Abstract

The poor response of glioblastoma to current treatment protocols is a consequence of its intrinsic drug resistance. Resistance to chemotherapy is primarily associated with considerable cellular heterogeneity, and plasticity of glioblastoma cells, alterations in gene expression, presence of specific tumor microenvironment conditions and blood-brain barrier. In an attempt to successfully overcome chemoresistance and better understand the biological behavior of glioblastoma, numerous tri-dimensional (3D) biomimetic models were developed in the past decade. These novel advanced models are able to better recapitulate the spatial organization of glioblastoma in a real time, therefore providing more realistic and reliable evidence to the response of glioblastoma to therapy. Moreover, these models enable the fine-tuning of different tumor microenvironment conditions and facilitate studies on the effects of the tumor microenvironment on glioblastoma chemoresistance. This review outlines current knowledge on the essence of glioblastoma chemoresistance and describes the progress achieved by 3D biomimetic models. Moreover, comprehensive literature assessment regarding the influence of 3D culturing and microenvironment mimicking on glioblastoma gene expression and biological behavior is also provided. The contribution of the blood-brain barrier as well as the blood-tumor barrier to glioblastoma chemoresistance is also reviewed from the perspective of 3D biomimetic models. Finally, the role of mathematical models in predicting 3D glioblastoma behavior and drug response is elaborated. In the future, technological innovations along with mathematical simulations should create reliable 3D biomimetic systems for glioblastoma research that should facilitate the identification and possibly application in preclinical drug testing and precision medicine.
Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  3D cell culture; Biomimetic models; Blood-brain barrier; Chemoresistance; Drug screening; Glioblastoma; Mathematical models

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Substances:

Year:  2021        PMID: 33667959     DOI: 10.1016/j.drup.2021.100753

Source DB:  PubMed          Journal:  Drug Resist Updat        ISSN: 1368-7646            Impact factor:   18.500


  5 in total

1.  Correlation of biomechanics and cancer cell phenotype by combined Brillouin and Raman spectroscopy of U87-MG glioblastoma cells.

Authors:  Jan Rix; Ortrud Uckermann; Katrin Kirsche; Gabriele Schackert; Edmund Koch; Matthias Kirsch; Roberta Galli
Journal:  J R Soc Interface       Date:  2022-07-13       Impact factor: 4.293

Review 2.  Effectiveness of Bioinks and the Clinical Value of 3D Bioprinted Glioblastoma Models: A Systematic Review.

Authors:  Shye Wei Leong; Shing Cheng Tan; Mohd Noor Norhayati; Mastura Monif; Si-Yuen Lee
Journal:  Cancers (Basel)       Date:  2022-04-26       Impact factor: 6.575

Review 3.  Glycomaterials to Investigate the Functional Role of Aberrant Glycosylation in Glioblastoma.

Authors:  Chaitanya Tondepu; Lohitash Karumbaiah
Journal:  Adv Healthc Mater       Date:  2021-12-29       Impact factor: 11.092

Review 4.  Advancements, Challenges, and Future Directions in Tackling Glioblastoma Resistance to Small Kinase Inhibitors.

Authors:  Federica Fabro; Martine L M Lamfers; Sieger Leenstra
Journal:  Cancers (Basel)       Date:  2022-01-25       Impact factor: 6.639

Review 5.  Current Opportunities for Targeting Dysregulated Neurodevelopmental Signaling Pathways in Glioblastoma.

Authors:  Danijela Drakulic; Marija Schwirtlich; Isidora Petrovic; Marija Mojsin; Milena Milivojevic; Natasa Kovacevic-Grujicic; Milena Stevanovic
Journal:  Cells       Date:  2022-08-15       Impact factor: 7.666

  5 in total

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