Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Xiao, Weikun, Sohrabi, Alireza, Seidlits, Stephanie K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Science Ltd 2017
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
_version_ 1783261356984631296
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
work_keys_str_mv AT xiaoweikun integratingtheglioblastomamicroenvironmentintoengineeredexperimentalmodels
AT sohrabialireza integratingtheglioblastomamicroenvironmentintoengineeredexperimentalmodels
AT seidlitsstephaniek integratingtheglioblastomamicroenvironmentintoengineeredexperimentalmodels