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Mutational profiling of kinases in glioblastoma
BACKGROUND: Glioblastoma is a highly malignant brain tumor for which no cure is available. To identify new therapeutic targets, we performed a mutation analysis of kinase genes in glioblastoma. METHODS: Database mining and a literature search identified 76 kinases that have been found to be mutated...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4192443/ https://www.ncbi.nlm.nih.gov/pubmed/25256166 http://dx.doi.org/10.1186/1471-2407-14-718 |
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author | Bleeker, Fonnet E Lamba, Simona Zanon, Carlo Molenaar, Remco J Hulsebos, Theo JM Troost, Dirk van Tilborg, Angela A Vandertop, W Peter Leenstra, Sieger van Noorden, Cornelis JF Bardelli, Alberto |
author_facet | Bleeker, Fonnet E Lamba, Simona Zanon, Carlo Molenaar, Remco J Hulsebos, Theo JM Troost, Dirk van Tilborg, Angela A Vandertop, W Peter Leenstra, Sieger van Noorden, Cornelis JF Bardelli, Alberto |
author_sort | Bleeker, Fonnet E |
collection | PubMed |
description | BACKGROUND: Glioblastoma is a highly malignant brain tumor for which no cure is available. To identify new therapeutic targets, we performed a mutation analysis of kinase genes in glioblastoma. METHODS: Database mining and a literature search identified 76 kinases that have been found to be mutated at least twice in multiple cancer types before. Among those we selected 34 kinase genes for mutation analysis. We also included IDH1, IDH2, PTEN, TP53 and NRAS, genes that are known to be mutated at considerable frequencies in glioblastoma. In total, 174 exons of 39 genes in 113 glioblastoma samples from 109 patients and 16 high-grade glioma (HGG) cell lines were sequenced. RESULTS: Our mutation analysis led to the identification of 148 non-synonymous somatic mutations, of which 25 have not been reported before in glioblastoma. Somatic mutations were found in TP53, PTEN, IDH1, PIK3CA, EGFR, BRAF, EPHA3, NRAS, TGFBR2, FLT3 and RPS6KC1. Mapping the mutated genes into known signaling pathways revealed that the large majority of them plays a central role in the PI3K-AKT pathway. CONCLUSIONS: The knowledge that at least 50% of glioblastoma tumors display mutational activation of the PI3K-AKT pathway should offer new opportunities for the rational development of therapeutic approaches for glioblastomas. However, due to the development of resistance mechanisms, kinase inhibition studies targeting the PI3K-AKT pathway for relapsing glioblastoma have mostly failed thus far. Other therapies should be investigated, targeting early events in gliomagenesis that involve both kinases and non-kinases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2407-14-718) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4192443 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41924432014-10-11 Mutational profiling of kinases in glioblastoma Bleeker, Fonnet E Lamba, Simona Zanon, Carlo Molenaar, Remco J Hulsebos, Theo JM Troost, Dirk van Tilborg, Angela A Vandertop, W Peter Leenstra, Sieger van Noorden, Cornelis JF Bardelli, Alberto BMC Cancer Research Article BACKGROUND: Glioblastoma is a highly malignant brain tumor for which no cure is available. To identify new therapeutic targets, we performed a mutation analysis of kinase genes in glioblastoma. METHODS: Database mining and a literature search identified 76 kinases that have been found to be mutated at least twice in multiple cancer types before. Among those we selected 34 kinase genes for mutation analysis. We also included IDH1, IDH2, PTEN, TP53 and NRAS, genes that are known to be mutated at considerable frequencies in glioblastoma. In total, 174 exons of 39 genes in 113 glioblastoma samples from 109 patients and 16 high-grade glioma (HGG) cell lines were sequenced. RESULTS: Our mutation analysis led to the identification of 148 non-synonymous somatic mutations, of which 25 have not been reported before in glioblastoma. Somatic mutations were found in TP53, PTEN, IDH1, PIK3CA, EGFR, BRAF, EPHA3, NRAS, TGFBR2, FLT3 and RPS6KC1. Mapping the mutated genes into known signaling pathways revealed that the large majority of them plays a central role in the PI3K-AKT pathway. CONCLUSIONS: The knowledge that at least 50% of glioblastoma tumors display mutational activation of the PI3K-AKT pathway should offer new opportunities for the rational development of therapeutic approaches for glioblastomas. However, due to the development of resistance mechanisms, kinase inhibition studies targeting the PI3K-AKT pathway for relapsing glioblastoma have mostly failed thus far. Other therapies should be investigated, targeting early events in gliomagenesis that involve both kinases and non-kinases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2407-14-718) contains supplementary material, which is available to authorized users. BioMed Central 2014-09-26 /pmc/articles/PMC4192443/ /pubmed/25256166 http://dx.doi.org/10.1186/1471-2407-14-718 Text en © Bleeker et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Bleeker, Fonnet E Lamba, Simona Zanon, Carlo Molenaar, Remco J Hulsebos, Theo JM Troost, Dirk van Tilborg, Angela A Vandertop, W Peter Leenstra, Sieger van Noorden, Cornelis JF Bardelli, Alberto Mutational profiling of kinases in glioblastoma |
title | Mutational profiling of kinases in glioblastoma |
title_full | Mutational profiling of kinases in glioblastoma |
title_fullStr | Mutational profiling of kinases in glioblastoma |
title_full_unstemmed | Mutational profiling of kinases in glioblastoma |
title_short | Mutational profiling of kinases in glioblastoma |
title_sort | mutational profiling of kinases in glioblastoma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4192443/ https://www.ncbi.nlm.nih.gov/pubmed/25256166 http://dx.doi.org/10.1186/1471-2407-14-718 |
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