Increasing the accuracy of glioblastoma subtypes: Factoring in the tumor's cell of origin

The transcriptional classification of glioblastoma has proven to be a complex issue. In the absence of strong correlations between underlying genomic lesions and transcriptional subtype, there is a need to systematically understand the origins of the glioblastoma subtypes. A recent integrated analys...

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Detalles Bibliográficos
Autor principal: Nelander, Sven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2018
Materias:
Author's Views
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370376/
https://www.ncbi.nlm.nih.gov/pubmed/30788413
http://dx.doi.org/10.1080/23723556.2017.1302907
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author Nelander, Sven
author_facet Nelander, Sven
author_sort Nelander, Sven
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description The transcriptional classification of glioblastoma has proven to be a complex issue. In the absence of strong correlations between underlying genomic lesions and transcriptional subtype, there is a need to systematically understand the origins of the glioblastoma subtypes. A recent integrated analysis of data from both mouse models and patient-derived cells supports that the glioblastoma's cell of origin is important in shaping transcriptional diversity and tumor cell malignancy.
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spelling pubmed-63703762019-11-27 Increasing the accuracy of glioblastoma subtypes: Factoring in the tumor's cell of origin Nelander, Sven Mol Cell Oncol Author's Views The transcriptional classification of glioblastoma has proven to be a complex issue. In the absence of strong correlations between underlying genomic lesions and transcriptional subtype, there is a need to systematically understand the origins of the glioblastoma subtypes. A recent integrated analysis of data from both mouse models and patient-derived cells supports that the glioblastoma's cell of origin is important in shaping transcriptional diversity and tumor cell malignancy. Taylor & Francis 2018-11-27 /pmc/articles/PMC6370376/ /pubmed/30788413 http://dx.doi.org/10.1080/23723556.2017.1302907 Text en © 2018 The Author(s). Published with license by Taylor & Francis Group, LLC http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
spellingShingle Author's Views
Nelander, Sven
Increasing the accuracy of glioblastoma subtypes: Factoring in the tumor's cell of origin
title Increasing the accuracy of glioblastoma subtypes: Factoring in the tumor's cell of origin
title_full Increasing the accuracy of glioblastoma subtypes: Factoring in the tumor's cell of origin
title_fullStr Increasing the accuracy of glioblastoma subtypes: Factoring in the tumor's cell of origin
title_full_unstemmed Increasing the accuracy of glioblastoma subtypes: Factoring in the tumor's cell of origin
title_short Increasing the accuracy of glioblastoma subtypes: Factoring in the tumor's cell of origin
title_sort increasing the accuracy of glioblastoma subtypes: factoring in the tumor's cell of origin
topic Author's Views
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370376/
https://www.ncbi.nlm.nih.gov/pubmed/30788413
http://dx.doi.org/10.1080/23723556.2017.1302907
work_keys_str_mv AT nelandersven increasingtheaccuracyofglioblastomasubtypesfactoringinthetumorscelloforigin

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