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Current Opinion on Molecular Characterization for GBM Classification in Guiding Clinical Diagnosis, Prognosis, and Therapy

Glioblastoma (GBM) is highly invasive and the deadliest brain tumor in adults. It is characterized by inter-tumor and intra-tumor heterogeneity, short patient survival, and lack of effective treatment. Prognosis and therapy selection is driven by molecular data from gene transcription, genetic alter...

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Autores principales: Zhang, Pei, Xia, Qin, Liu, Liqun, Li, Shouwei, Dong, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506064/
https://www.ncbi.nlm.nih.gov/pubmed/33102518
http://dx.doi.org/10.3389/fmolb.2020.562798
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author Zhang, Pei
Xia, Qin
Liu, Liqun
Li, Shouwei
Dong, Lei
author_facet Zhang, Pei
Xia, Qin
Liu, Liqun
Li, Shouwei
Dong, Lei
author_sort Zhang, Pei
collection PubMed
description Glioblastoma (GBM) is highly invasive and the deadliest brain tumor in adults. It is characterized by inter-tumor and intra-tumor heterogeneity, short patient survival, and lack of effective treatment. Prognosis and therapy selection is driven by molecular data from gene transcription, genetic alterations and DNA methylation. The four GBM molecular subtypes are proneural, neural, classical, and mesenchymal. More effective personalized therapy heavily depends on higher resolution molecular subtype signatures, combined with gene therapy, immunotherapy and organoid technology. In this review, we summarize the principal GBM molecular classifications that guide diagnosis, prognosis, and therapeutic recommendations.
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spelling pubmed-75060642020-10-22 Current Opinion on Molecular Characterization for GBM Classification in Guiding Clinical Diagnosis, Prognosis, and Therapy Zhang, Pei Xia, Qin Liu, Liqun Li, Shouwei Dong, Lei Front Mol Biosci Molecular Biosciences Glioblastoma (GBM) is highly invasive and the deadliest brain tumor in adults. It is characterized by inter-tumor and intra-tumor heterogeneity, short patient survival, and lack of effective treatment. Prognosis and therapy selection is driven by molecular data from gene transcription, genetic alterations and DNA methylation. The four GBM molecular subtypes are proneural, neural, classical, and mesenchymal. More effective personalized therapy heavily depends on higher resolution molecular subtype signatures, combined with gene therapy, immunotherapy and organoid technology. In this review, we summarize the principal GBM molecular classifications that guide diagnosis, prognosis, and therapeutic recommendations. Frontiers Media S.A. 2020-09-08 /pmc/articles/PMC7506064/ /pubmed/33102518 http://dx.doi.org/10.3389/fmolb.2020.562798 Text en Copyright © 2020 Zhang, Xia, Liu, Li and Dong. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Zhang, Pei
Xia, Qin
Liu, Liqun
Li, Shouwei
Dong, Lei
Current Opinion on Molecular Characterization for GBM Classification in Guiding Clinical Diagnosis, Prognosis, and Therapy
title Current Opinion on Molecular Characterization for GBM Classification in Guiding Clinical Diagnosis, Prognosis, and Therapy
title_full Current Opinion on Molecular Characterization for GBM Classification in Guiding Clinical Diagnosis, Prognosis, and Therapy
title_fullStr Current Opinion on Molecular Characterization for GBM Classification in Guiding Clinical Diagnosis, Prognosis, and Therapy
title_full_unstemmed Current Opinion on Molecular Characterization for GBM Classification in Guiding Clinical Diagnosis, Prognosis, and Therapy
title_short Current Opinion on Molecular Characterization for GBM Classification in Guiding Clinical Diagnosis, Prognosis, and Therapy
title_sort current opinion on molecular characterization for gbm classification in guiding clinical diagnosis, prognosis, and therapy
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506064/
https://www.ncbi.nlm.nih.gov/pubmed/33102518
http://dx.doi.org/10.3389/fmolb.2020.562798
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