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Modeling phenotypes of malignant gliomas

Malignant gliomas are primary tumors of the central nervous system characterized by diffuse infiltration into the brain and a high recurrence rate. Advances in comprehensive genomic studies have provided unprecedented insight into the genetic and molecular heterogeneity of these tumors and refined o...

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Detalles Bibliográficos
Autores principales: Sampetrean, Oltea, Saya, Hideyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765309/
https://www.ncbi.nlm.nih.gov/pubmed/28796931
http://dx.doi.org/10.1111/cas.13351
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author Sampetrean, Oltea
Saya, Hideyuki
author_facet Sampetrean, Oltea
Saya, Hideyuki
author_sort Sampetrean, Oltea
collection PubMed
description Malignant gliomas are primary tumors of the central nervous system characterized by diffuse infiltration into the brain and a high recurrence rate. Advances in comprehensive genomic studies have provided unprecedented insight into the genetic and molecular heterogeneity of these tumors and refined our understanding of their evolution from low to high grade. However, similar levels of phenotypic characterization are indispensable to understanding the complexity of malignant gliomas. Experimental glioma models have also achieved great progress in recent years. Advances in transgenic technologies and cell culture have allowed the establishment of mouse models that mirror the human disease with increasing fidelity and which support single‐cell resolution for phenotypic analyses. Here we review the major types of preclinical glioma models, with an emphasis on how recent developments in experimental modeling have shed new light on two fundamental aspects of glioma phenotype, their cell of origin and their invasive potential.
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spelling pubmed-57653092018-01-17 Modeling phenotypes of malignant gliomas Sampetrean, Oltea Saya, Hideyuki Cancer Sci Review Articles Malignant gliomas are primary tumors of the central nervous system characterized by diffuse infiltration into the brain and a high recurrence rate. Advances in comprehensive genomic studies have provided unprecedented insight into the genetic and molecular heterogeneity of these tumors and refined our understanding of their evolution from low to high grade. However, similar levels of phenotypic characterization are indispensable to understanding the complexity of malignant gliomas. Experimental glioma models have also achieved great progress in recent years. Advances in transgenic technologies and cell culture have allowed the establishment of mouse models that mirror the human disease with increasing fidelity and which support single‐cell resolution for phenotypic analyses. Here we review the major types of preclinical glioma models, with an emphasis on how recent developments in experimental modeling have shed new light on two fundamental aspects of glioma phenotype, their cell of origin and their invasive potential. John Wiley and Sons Inc. 2017-11-15 2018-01 /pmc/articles/PMC5765309/ /pubmed/28796931 http://dx.doi.org/10.1111/cas.13351 Text en © 2017 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Review Articles
Sampetrean, Oltea
Saya, Hideyuki
Modeling phenotypes of malignant gliomas
title Modeling phenotypes of malignant gliomas
title_full Modeling phenotypes of malignant gliomas
title_fullStr Modeling phenotypes of malignant gliomas
title_full_unstemmed Modeling phenotypes of malignant gliomas
title_short Modeling phenotypes of malignant gliomas
title_sort modeling phenotypes of malignant gliomas
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765309/
https://www.ncbi.nlm.nih.gov/pubmed/28796931
http://dx.doi.org/10.1111/cas.13351
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