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Meningioma Genomics: Diagnostic, Prognostic, and Therapeutic Applications
There has been a recent revolution in our understanding of the genetic factors that drive meningioma, punctuating an equilibrium that has existed since Cushing’s germinal studies nearly a century ago. A growing appreciation that meningiomas share similar biologic features with other malignancies has...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4933705/ https://www.ncbi.nlm.nih.gov/pubmed/27458586 http://dx.doi.org/10.3389/fsurg.2016.00040 |
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author | Bi, Wenya Linda Zhang, Michael Wu, Winona W. Mei, Yu Dunn, Ian F. |
author_facet | Bi, Wenya Linda Zhang, Michael Wu, Winona W. Mei, Yu Dunn, Ian F. |
author_sort | Bi, Wenya Linda |
collection | PubMed |
description | There has been a recent revolution in our understanding of the genetic factors that drive meningioma, punctuating an equilibrium that has existed since Cushing’s germinal studies nearly a century ago. A growing appreciation that meningiomas share similar biologic features with other malignancies has allowed extrapolation of management strategies and lessons from intra-axial central nervous system neoplasms and systemic cancers to meningiomas. These features include a natural proclivity for invasion, frequent intratumoral heterogeneity, and correlation between biologic profile and clinical behavior. Next-generation sequencing has characterized recurrent somatic mutations in NF2, TRAF7, KLF4, AKT1, SMO, and PIK3CA, which are collectively present in ~80% of sporadic meningiomas. Genomic features of meningioma further associate with tumor location, histologic subtype, and possibly clinical behavior. Such genomic decryption, along with advances in targeted pharmacotherapy, provides a maturing integrated view of meningiomas. We review recent advances in meningioma genomics and probe their potential applications in diagnostic, therapeutic, and prognostic frontiers. |
format | Online Article Text |
id | pubmed-4933705 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-49337052016-07-25 Meningioma Genomics: Diagnostic, Prognostic, and Therapeutic Applications Bi, Wenya Linda Zhang, Michael Wu, Winona W. Mei, Yu Dunn, Ian F. Front Surg Surgery There has been a recent revolution in our understanding of the genetic factors that drive meningioma, punctuating an equilibrium that has existed since Cushing’s germinal studies nearly a century ago. A growing appreciation that meningiomas share similar biologic features with other malignancies has allowed extrapolation of management strategies and lessons from intra-axial central nervous system neoplasms and systemic cancers to meningiomas. These features include a natural proclivity for invasion, frequent intratumoral heterogeneity, and correlation between biologic profile and clinical behavior. Next-generation sequencing has characterized recurrent somatic mutations in NF2, TRAF7, KLF4, AKT1, SMO, and PIK3CA, which are collectively present in ~80% of sporadic meningiomas. Genomic features of meningioma further associate with tumor location, histologic subtype, and possibly clinical behavior. Such genomic decryption, along with advances in targeted pharmacotherapy, provides a maturing integrated view of meningiomas. We review recent advances in meningioma genomics and probe their potential applications in diagnostic, therapeutic, and prognostic frontiers. Frontiers Media S.A. 2016-07-06 /pmc/articles/PMC4933705/ /pubmed/27458586 http://dx.doi.org/10.3389/fsurg.2016.00040 Text en Copyright © 2016 Bi, Zhang, Wu, Mei and Dunn. 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) or licensor 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 | Surgery Bi, Wenya Linda Zhang, Michael Wu, Winona W. Mei, Yu Dunn, Ian F. Meningioma Genomics: Diagnostic, Prognostic, and Therapeutic Applications |
title | Meningioma Genomics: Diagnostic, Prognostic, and Therapeutic Applications |
title_full | Meningioma Genomics: Diagnostic, Prognostic, and Therapeutic Applications |
title_fullStr | Meningioma Genomics: Diagnostic, Prognostic, and Therapeutic Applications |
title_full_unstemmed | Meningioma Genomics: Diagnostic, Prognostic, and Therapeutic Applications |
title_short | Meningioma Genomics: Diagnostic, Prognostic, and Therapeutic Applications |
title_sort | meningioma genomics: diagnostic, prognostic, and therapeutic applications |
topic | Surgery |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4933705/ https://www.ncbi.nlm.nih.gov/pubmed/27458586 http://dx.doi.org/10.3389/fsurg.2016.00040 |
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