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Comprehensive Genomic Profiling of 282 Pediatric Low‐ and High‐Grade Gliomas Reveals Genomic Drivers, Tumor Mutational Burden, and Hypermutation Signatures
BACKGROUND. Pediatric brain tumors are the leading cause of death for children with cancer in the U.S. Incorporating next‐generation sequencing data for both pediatric low‐grade (pLGGs) and high‐grade gliomas (pHGGs) can inform diagnostic, prognostic, and therapeutic decision‐making. MATERIALS AND M...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AlphaMed Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5728033/ https://www.ncbi.nlm.nih.gov/pubmed/28912153 http://dx.doi.org/10.1634/theoncologist.2017-0242 |
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author | Johnson, Adrienne Severson, Eric Gay, Laurie Vergilio, Jo‐Anne Elvin, Julia Suh, James Daniel, Sugganth Covert, Mandy Frampton, Garrett M. Hsu, Sigmund Lesser, Glenn J. Stogner‐Underwood, Kimberly Mott, Ryan T. Rush, Sarah Z. Stanke, Jennifer J. Dahiya, Sonika Sun, James Reddy, Prasanth Chalmers, Zachary R. Erlich, Rachel Chudnovsky, Yakov Fabrizio, David Schrock, Alexa B. Ali, Siraj Miller, Vincent Stephens, Philip J. Ross, Jeffrey Crawford, John R. Ramkissoon, Shakti H. |
author_facet | Johnson, Adrienne Severson, Eric Gay, Laurie Vergilio, Jo‐Anne Elvin, Julia Suh, James Daniel, Sugganth Covert, Mandy Frampton, Garrett M. Hsu, Sigmund Lesser, Glenn J. Stogner‐Underwood, Kimberly Mott, Ryan T. Rush, Sarah Z. Stanke, Jennifer J. Dahiya, Sonika Sun, James Reddy, Prasanth Chalmers, Zachary R. Erlich, Rachel Chudnovsky, Yakov Fabrizio, David Schrock, Alexa B. Ali, Siraj Miller, Vincent Stephens, Philip J. Ross, Jeffrey Crawford, John R. Ramkissoon, Shakti H. |
author_sort | Johnson, Adrienne |
collection | PubMed |
description | BACKGROUND. Pediatric brain tumors are the leading cause of death for children with cancer in the U.S. Incorporating next‐generation sequencing data for both pediatric low‐grade (pLGGs) and high‐grade gliomas (pHGGs) can inform diagnostic, prognostic, and therapeutic decision‐making. MATERIALS AND METHODS. We performed comprehensive genomic profiling on 282 pediatric gliomas (157 pHGGs, 125 pLGGs), sequencing 315 cancer‐related genes and calculating the tumor mutational burden (TMB; mutations per megabase [Mb]). RESULTS. In pLGGs, we detected genomic alterations (GA) in 95.2% (119/125) of tumors. BRAF was most frequently altered (48%; 60/125), and FGFR1 missense (17.6%; 22/125), NF1 loss of function (8.8%; 11/125), and TP53 (5.6%; 7/125) mutations were also detected. Rearrangements were identified in 35% of pLGGs, including KIAA1549‐BRAF, QKI‐RAF1, FGFR3‐TACC3, CEP85L‐ROS1, and GOPC‐ROS1 fusions. Among pHGGs, GA were identified in 96.8% (152/157). The genes most frequently mutated were TP53 (49%; 77/157), H3F3A (37.6%; 59/157), ATRX (24.2%; 38/157), NF1 (22.2%; 35/157), and PDGFRA (21.7%; 34/157). Interestingly, most H3F3A mutations (81.4%; 35/43) were the variant K28M. Midline tumor analysis revealed H3F3A mutations (40%; 40/100) consisted solely of the K28M variant. Pediatric high‐grade gliomas harbored oncogenic EML4‐ALK, DGKB‐ETV1, ATG7‐RAF1, and EWSR1‐PATZ1 fusions. Six percent (9/157) of pHGGs were hypermutated (TMB >20 mutations per Mb; range 43–581 mutations per Mb), harboring mutations deleterious for DNA repair in MSH6, MSH2, MLH1, PMS2, POLE, and POLD1 genes (78% of cases). CONCLUSION. Comprehensive genomic profiling of pediatric gliomas provides objective data that promote diagnostic accuracy and enhance clinical decision‐making. Additionally, TMB could be a biomarker to identify pediatric glioblastoma (GBM) patients who may benefit from immunotherapy. IMPLICATIONS FOR PRACTICE. By providing objective data to support diagnostic, prognostic, and therapeutic decision‐making, comprehensive genomic profiling is necessary for advancing care for pediatric neuro‐oncology patients. This article presents the largest cohort of pediatric low‐ and high‐grade gliomas profiled by next‐generation sequencing. Reportable alterations were detected in 95% of patients, including diagnostically relevant lesions as well as novel oncogenic fusions and mutations. Additionally, tumor mutational burden (TMB) is reported, which identifies a subpopulation of hypermutated glioblastomas that harbor deleterious mutations in DNA repair genes. This provides support for TMB as a potential biomarker to identify patients who may preferentially benefit from immune checkpoint inhibitors. |
format | Online Article Text |
id | pubmed-5728033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | AlphaMed Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57280332018-12-01 Comprehensive Genomic Profiling of 282 Pediatric Low‐ and High‐Grade Gliomas Reveals Genomic Drivers, Tumor Mutational Burden, and Hypermutation Signatures Johnson, Adrienne Severson, Eric Gay, Laurie Vergilio, Jo‐Anne Elvin, Julia Suh, James Daniel, Sugganth Covert, Mandy Frampton, Garrett M. Hsu, Sigmund Lesser, Glenn J. Stogner‐Underwood, Kimberly Mott, Ryan T. Rush, Sarah Z. Stanke, Jennifer J. Dahiya, Sonika Sun, James Reddy, Prasanth Chalmers, Zachary R. Erlich, Rachel Chudnovsky, Yakov Fabrizio, David Schrock, Alexa B. Ali, Siraj Miller, Vincent Stephens, Philip J. Ross, Jeffrey Crawford, John R. Ramkissoon, Shakti H. Oncologist Neuro‐Oncology BACKGROUND. Pediatric brain tumors are the leading cause of death for children with cancer in the U.S. Incorporating next‐generation sequencing data for both pediatric low‐grade (pLGGs) and high‐grade gliomas (pHGGs) can inform diagnostic, prognostic, and therapeutic decision‐making. MATERIALS AND METHODS. We performed comprehensive genomic profiling on 282 pediatric gliomas (157 pHGGs, 125 pLGGs), sequencing 315 cancer‐related genes and calculating the tumor mutational burden (TMB; mutations per megabase [Mb]). RESULTS. In pLGGs, we detected genomic alterations (GA) in 95.2% (119/125) of tumors. BRAF was most frequently altered (48%; 60/125), and FGFR1 missense (17.6%; 22/125), NF1 loss of function (8.8%; 11/125), and TP53 (5.6%; 7/125) mutations were also detected. Rearrangements were identified in 35% of pLGGs, including KIAA1549‐BRAF, QKI‐RAF1, FGFR3‐TACC3, CEP85L‐ROS1, and GOPC‐ROS1 fusions. Among pHGGs, GA were identified in 96.8% (152/157). The genes most frequently mutated were TP53 (49%; 77/157), H3F3A (37.6%; 59/157), ATRX (24.2%; 38/157), NF1 (22.2%; 35/157), and PDGFRA (21.7%; 34/157). Interestingly, most H3F3A mutations (81.4%; 35/43) were the variant K28M. Midline tumor analysis revealed H3F3A mutations (40%; 40/100) consisted solely of the K28M variant. Pediatric high‐grade gliomas harbored oncogenic EML4‐ALK, DGKB‐ETV1, ATG7‐RAF1, and EWSR1‐PATZ1 fusions. Six percent (9/157) of pHGGs were hypermutated (TMB >20 mutations per Mb; range 43–581 mutations per Mb), harboring mutations deleterious for DNA repair in MSH6, MSH2, MLH1, PMS2, POLE, and POLD1 genes (78% of cases). CONCLUSION. Comprehensive genomic profiling of pediatric gliomas provides objective data that promote diagnostic accuracy and enhance clinical decision‐making. Additionally, TMB could be a biomarker to identify pediatric glioblastoma (GBM) patients who may benefit from immunotherapy. IMPLICATIONS FOR PRACTICE. By providing objective data to support diagnostic, prognostic, and therapeutic decision‐making, comprehensive genomic profiling is necessary for advancing care for pediatric neuro‐oncology patients. This article presents the largest cohort of pediatric low‐ and high‐grade gliomas profiled by next‐generation sequencing. Reportable alterations were detected in 95% of patients, including diagnostically relevant lesions as well as novel oncogenic fusions and mutations. Additionally, tumor mutational burden (TMB) is reported, which identifies a subpopulation of hypermutated glioblastomas that harbor deleterious mutations in DNA repair genes. This provides support for TMB as a potential biomarker to identify patients who may preferentially benefit from immune checkpoint inhibitors. AlphaMed Press 2017-09-14 2017-12 /pmc/articles/PMC5728033/ /pubmed/28912153 http://dx.doi.org/10.1634/theoncologist.2017-0242 Text en © 2017 The Authors. The Oncologist published by Wiley Periodicals, Inc. on behalf of AlphaMed Press http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Neuro‐Oncology Johnson, Adrienne Severson, Eric Gay, Laurie Vergilio, Jo‐Anne Elvin, Julia Suh, James Daniel, Sugganth Covert, Mandy Frampton, Garrett M. Hsu, Sigmund Lesser, Glenn J. Stogner‐Underwood, Kimberly Mott, Ryan T. Rush, Sarah Z. Stanke, Jennifer J. Dahiya, Sonika Sun, James Reddy, Prasanth Chalmers, Zachary R. Erlich, Rachel Chudnovsky, Yakov Fabrizio, David Schrock, Alexa B. Ali, Siraj Miller, Vincent Stephens, Philip J. Ross, Jeffrey Crawford, John R. Ramkissoon, Shakti H. Comprehensive Genomic Profiling of 282 Pediatric Low‐ and High‐Grade Gliomas Reveals Genomic Drivers, Tumor Mutational Burden, and Hypermutation Signatures |
title | Comprehensive Genomic Profiling of 282 Pediatric Low‐ and High‐Grade Gliomas Reveals Genomic Drivers, Tumor Mutational Burden, and Hypermutation Signatures |
title_full | Comprehensive Genomic Profiling of 282 Pediatric Low‐ and High‐Grade Gliomas Reveals Genomic Drivers, Tumor Mutational Burden, and Hypermutation Signatures |
title_fullStr | Comprehensive Genomic Profiling of 282 Pediatric Low‐ and High‐Grade Gliomas Reveals Genomic Drivers, Tumor Mutational Burden, and Hypermutation Signatures |
title_full_unstemmed | Comprehensive Genomic Profiling of 282 Pediatric Low‐ and High‐Grade Gliomas Reveals Genomic Drivers, Tumor Mutational Burden, and Hypermutation Signatures |
title_short | Comprehensive Genomic Profiling of 282 Pediatric Low‐ and High‐Grade Gliomas Reveals Genomic Drivers, Tumor Mutational Burden, and Hypermutation Signatures |
title_sort | comprehensive genomic profiling of 282 pediatric low‐ and high‐grade gliomas reveals genomic drivers, tumor mutational burden, and hypermutation signatures |
topic | Neuro‐Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5728033/ https://www.ncbi.nlm.nih.gov/pubmed/28912153 http://dx.doi.org/10.1634/theoncologist.2017-0242 |
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