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New insights into the genomic landscape of meningiomas identified FGFR3 in a subset of patients with favorable prognoses
Background: With a prevalence of 170 000 adults in the US alone, meningiomas are the most common primary intracranial tumors. The management of skull base meningiomas is challenging due to their complexity and proximity to crucial nearby structures. The identification of oncogenic mutations has prov...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756861/ https://www.ncbi.nlm.nih.gov/pubmed/31565188 http://dx.doi.org/10.18632/oncotarget.27178 |
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author | AlSahlawi, Aysha Aljelaify, Rasha Magrashi, Amna AlSaeed, Mariam Almutairi, Amal Alqubaishi, Fatimah Alturkistani, Abdulellah AlObaid, Abdullah Abouelhoda, Mohamed AlMubarak, Latifa AlTassan, Nada Abedalthagafi, Malak |
author_facet | AlSahlawi, Aysha Aljelaify, Rasha Magrashi, Amna AlSaeed, Mariam Almutairi, Amal Alqubaishi, Fatimah Alturkistani, Abdulellah AlObaid, Abdullah Abouelhoda, Mohamed AlMubarak, Latifa AlTassan, Nada Abedalthagafi, Malak |
author_sort | AlSahlawi, Aysha |
collection | PubMed |
description | Background: With a prevalence of 170 000 adults in the US alone, meningiomas are the most common primary intracranial tumors. The management of skull base meningiomas is challenging due to their complexity and proximity to crucial nearby structures. The identification of oncogenic mutations has provided further insights into the tumorigenesis of meningioma and the possibility of targeted therapy. This study aimed to further investigate the association of mutational profiles with anatomical distribution, histological subtype, WHO grade, and recurrence in patients with meningioma. Methods: Tissue samples were collected from 71 patients diagnosed with meningioma from 2008 to 2016. A total of 51 cases were skull based. Samples were subjected to targeted sequencing using a next generation customized cancer gene panel (n = 66 genes analyzed). Results: We detected genomic alterations (GAs) in 68 tumors, averaging 1.56 ± 1.07 genomic alterations (GAs) per sample. NF2 was the most frequently altered gene (36/71 cases). Interestingly, we identified a number of mutations in non-NF2 genes, including a hotspot TERTp c.−124: G > A mutation that may be related to poor prognosis and FGFR3 mutations that may represent biomarkers of a favorable prognosis as reported in other cancers. Conclusions: We demonstrate that comprehensive genomic profiling in our population can reveal a potential new prognostic biomarkers of skull base meningioma. These mutations can enhance diagnostic accuracy and clinical decision-making. Among our findings were the identification of a TERTp mutation and the first report of FGFR3 mutations that may represent biomarkers for the identification of skull base meningioma patients with a favorable prognosis. |
format | Online Article Text |
id | pubmed-6756861 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-67568612019-09-27 New insights into the genomic landscape of meningiomas identified FGFR3 in a subset of patients with favorable prognoses AlSahlawi, Aysha Aljelaify, Rasha Magrashi, Amna AlSaeed, Mariam Almutairi, Amal Alqubaishi, Fatimah Alturkistani, Abdulellah AlObaid, Abdullah Abouelhoda, Mohamed AlMubarak, Latifa AlTassan, Nada Abedalthagafi, Malak Oncotarget Research Paper Background: With a prevalence of 170 000 adults in the US alone, meningiomas are the most common primary intracranial tumors. The management of skull base meningiomas is challenging due to their complexity and proximity to crucial nearby structures. The identification of oncogenic mutations has provided further insights into the tumorigenesis of meningioma and the possibility of targeted therapy. This study aimed to further investigate the association of mutational profiles with anatomical distribution, histological subtype, WHO grade, and recurrence in patients with meningioma. Methods: Tissue samples were collected from 71 patients diagnosed with meningioma from 2008 to 2016. A total of 51 cases were skull based. Samples were subjected to targeted sequencing using a next generation customized cancer gene panel (n = 66 genes analyzed). Results: We detected genomic alterations (GAs) in 68 tumors, averaging 1.56 ± 1.07 genomic alterations (GAs) per sample. NF2 was the most frequently altered gene (36/71 cases). Interestingly, we identified a number of mutations in non-NF2 genes, including a hotspot TERTp c.−124: G > A mutation that may be related to poor prognosis and FGFR3 mutations that may represent biomarkers of a favorable prognosis as reported in other cancers. Conclusions: We demonstrate that comprehensive genomic profiling in our population can reveal a potential new prognostic biomarkers of skull base meningioma. These mutations can enhance diagnostic accuracy and clinical decision-making. Among our findings were the identification of a TERTp mutation and the first report of FGFR3 mutations that may represent biomarkers for the identification of skull base meningioma patients with a favorable prognosis. Impact Journals LLC 2019-09-17 /pmc/articles/PMC6756861/ /pubmed/31565188 http://dx.doi.org/10.18632/oncotarget.27178 Text en Copyright: © 2019 AlSahlawi et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper AlSahlawi, Aysha Aljelaify, Rasha Magrashi, Amna AlSaeed, Mariam Almutairi, Amal Alqubaishi, Fatimah Alturkistani, Abdulellah AlObaid, Abdullah Abouelhoda, Mohamed AlMubarak, Latifa AlTassan, Nada Abedalthagafi, Malak New insights into the genomic landscape of meningiomas identified FGFR3 in a subset of patients with favorable prognoses |
title | New insights into the genomic landscape of meningiomas identified FGFR3 in a subset of patients with favorable prognoses |
title_full | New insights into the genomic landscape of meningiomas identified FGFR3 in a subset of patients with favorable prognoses |
title_fullStr | New insights into the genomic landscape of meningiomas identified FGFR3 in a subset of patients with favorable prognoses |
title_full_unstemmed | New insights into the genomic landscape of meningiomas identified FGFR3 in a subset of patients with favorable prognoses |
title_short | New insights into the genomic landscape of meningiomas identified FGFR3 in a subset of patients with favorable prognoses |
title_sort | new insights into the genomic landscape of meningiomas identified fgfr3 in a subset of patients with favorable prognoses |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756861/ https://www.ncbi.nlm.nih.gov/pubmed/31565188 http://dx.doi.org/10.18632/oncotarget.27178 |
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