Comprehensive Genomic Profiling of 282 Pediatric Low- and High-Grade Gliomas Reveals Genomic Drivers, Tumor Mutational Burden, and Hypermutation Signatures.

Comprehensive Genomic Profiling of 282 Pediatric Low- and High-Grade Gliomas Reveals Genomic Drivers, Tumor Mutational Burden, and Hypermutation Signatures.
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DOI:
10.1634/theoncologist.2017-0242
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发表时间:
2017-12
期刊:
The oncologist
影响因子:
--
通讯作者:
Ramkissoon SH
Ramkissoon SH
中科院分区:
其他
文献类型:
--
作者:
Johnson A;Severson E;Gay L;Vergilio JA;Elvin J;Suh J;Daniel S;Covert M;Frampton GM;Hsu S;Lesser GJ;Stogner-Underwood K;Mott RT;Rush SZ;Stanke JJ;Dahiya S;Sun J;Reddy P;Chalmers ZR;Erlich R;Chudnovsky Y;Fabrizio D;Schrock AB;Ali S;Miller V;Stephens PJ;Ross J;Crawford JR;Ramkissoon SH

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这项研究强调了在已知的最大的儿童胶质瘤患者队列中全面基因组图谱的价值,并探索了诊断和解剖位置上最常见的变化。肿瘤突变的负担和相关的遗传因素,可能倾向于患者发展为高突变表型也进行了讨论。儿童脑肿瘤是美国儿童癌症死亡的主要原因。结合儿童低级别(PLGGs)和高级别(PHGGs)的下一代测序数据,可以为诊断、预后和治疗决策提供信息。我们对282个儿童胶质瘤(157个PHGGs,125个pLGGs)进行了全面的基因组分析,对315个癌症相关基因进行了测序,并计算了肿瘤突变负担(TMB;每兆数据库突变[Mb])。在pLGGs中,我们检测到95.2%(119/125)的肿瘤存在基因组改变(GA)。BRAF改变最多(48%;60/125),FGFR1错义突变(17.6%;22/125),NF1功能丧失(8.8%;11/125),TP53(5.6%;7/125)突变。在35%的pLGG中发现重排,包括KIAA1549-BRAF、QKI-RAF1、FGFR3-TACC3、CEP85L-ROS1和GOPC-ROS1融合。在PHGG中,96.8%(152/157)为GA。突变频率最高的基因是TP53(49%;77/157)、H3F3A(37.6%;59/157)、ATRX(24.2%;38/157)、NF1(22.2%;35/157)和PDGFRA(21.7%;34/157)。有趣的是,大多数H3F3A突变(81.4%;35/43)是K28M变异。中线肿瘤分析显示H3F3A突变(40%;40/100)仅由K28M变异组成。儿童高级别胶质瘤含有致癌的EML4-ALK、DGKB-ETV1、ATG7-RAF1和EWSR1-PATZ1融合。6%(9/157)的PHGG发生过度突变(TMB和GT;每Mb 20个突变;每Mb范围43-581个突变),在MSH6、MSH2、MLH1、PMS2、POL和POLD1基因上存在有害于DNA修复的突变(78%)。全面的儿童胶质瘤基因组图谱提供了客观的数据,以提高诊断的准确性和加强临床决策。此外,TMB可作为识别可能受益于免疫治疗的儿童胶质母细胞瘤(GBM)患者的生物标志物。通过提供支持诊断、预后和治疗决策的客观数据,全面的基因组图谱对于促进儿科神经肿瘤患者的护理是必要的。这篇文章介绍了通过下一代测序分析的最大的儿童低级别和高级别胶质瘤队列。95%的患者检测到可报告的改变,包括与诊断相关的损害以及新的致癌融合和突变。此外,还报道了肿瘤突变负荷(TMB),它确定了DNA修复基因中含有有害突变的一类高突变的胶质母细胞瘤。这为TMB作为一种潜在的生物标志物提供了支持,以确定哪些患者可能优先受益于免疫检查点抑制剂。
This study highlights the value of comprehensive genomic profiling in the largest known cohort of pediatric glioma patients and explores the most common alterations across diagnosis and anatomic location. Tumor mutational burden and associated genetic factors that may predispose patients to developing a hypermutator phenotype are also discussed. 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. 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]). 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). 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. 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.
DOI: 10.1126/scisignal.2004088
发表时间: 2013-04-02
期刊: Science signaling
影响因子: 7.3
作者:
Gao J;Aksoy BA;Dogrusoz U;Dresdner G;Gross B;Sumer SO;Sun Y;Jacobsen A;Sinha R;Larsson E;Cerami E;Sander C;Schultz N
通讯作者: Schultz N
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DOI: 10.1038/sj.bjc.6601894
发表时间: 2004-07-19
影响因子: 8.8
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Bamford, S;Dawson, E;Forbes, S;Clements, J;Pettett, R;Dogan, A;Flanagan, A;Teague, J;Futreal, PA;Stratton, MR;Wooster, R
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发表时间: 2016-03
期刊: Nature genetics
影响因子: 30.8
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发表时间: 2015-06-25
期刊: The New England journal of medicine
影响因子: --
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发表时间: 2008-10-23
期刊: NATURE
影响因子: 64.8
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通讯作者: Thomson, Elizabeth