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Integrating the glioblastoma microenvironment into engineered experimental models
Glioblastoma (GBM) is the most lethal cancer originating in the brain. Its high mortality rate has been attributed to therapeutic resistance and rapid, diffuse invasion – both of which are strongly influenced by the unique microenvironment. Thus, there is a need to develop new models that mimic indi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Science Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583655/ https://www.ncbi.nlm.nih.gov/pubmed/28883992 http://dx.doi.org/10.4155/fsoa-2016-0094 |
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author | Xiao, Weikun Sohrabi, Alireza Seidlits, Stephanie K |
author_facet | Xiao, Weikun Sohrabi, Alireza Seidlits, Stephanie K |
author_sort | Xiao, Weikun |
collection | PubMed |
description | Glioblastoma (GBM) is the most lethal cancer originating in the brain. Its high mortality rate has been attributed to therapeutic resistance and rapid, diffuse invasion – both of which are strongly influenced by the unique microenvironment. Thus, there is a need to develop new models that mimic individual microenvironmental features and are able to provide clinically relevant data. Current understanding of the effects of the microenvironment on GBM progression, established experimental models of GBM and recent developments using bioengineered microenvironments as ex vivo experimental platforms that mimic the biochemical and physical properties of GBM tumors are discussed. |
format | Online Article Text |
id | pubmed-5583655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Future Science Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-55836552017-09-07 Integrating the glioblastoma microenvironment into engineered experimental models Xiao, Weikun Sohrabi, Alireza Seidlits, Stephanie K Future Sci OA Review Glioblastoma (GBM) is the most lethal cancer originating in the brain. Its high mortality rate has been attributed to therapeutic resistance and rapid, diffuse invasion – both of which are strongly influenced by the unique microenvironment. Thus, there is a need to develop new models that mimic individual microenvironmental features and are able to provide clinically relevant data. Current understanding of the effects of the microenvironment on GBM progression, established experimental models of GBM and recent developments using bioengineered microenvironments as ex vivo experimental platforms that mimic the biochemical and physical properties of GBM tumors are discussed. Future Science Ltd 2017-03-24 /pmc/articles/PMC5583655/ /pubmed/28883992 http://dx.doi.org/10.4155/fsoa-2016-0094 Text en © 2017 Future Science Ltd This work is licensed under a Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Review Xiao, Weikun Sohrabi, Alireza Seidlits, Stephanie K Integrating the glioblastoma microenvironment into engineered experimental models |
title | Integrating the glioblastoma microenvironment into engineered experimental models |
title_full | Integrating the glioblastoma microenvironment into engineered experimental models |
title_fullStr | Integrating the glioblastoma microenvironment into engineered experimental models |
title_full_unstemmed | Integrating the glioblastoma microenvironment into engineered experimental models |
title_short | Integrating the glioblastoma microenvironment into engineered experimental models |
title_sort | integrating the glioblastoma microenvironment into engineered experimental models |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583655/ https://www.ncbi.nlm.nih.gov/pubmed/28883992 http://dx.doi.org/10.4155/fsoa-2016-0094 |
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