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A wide spectrum of EGFR mutations in glioblastoma is detected by a single clinical oncology targeted next-generation sequencing panel

机译:单一临床肿瘤靶向下一代测序专家组检测出胶质母细胞瘤中广泛的EGFR突变

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摘要

With the advent of large-scale genomic analysis, the genetic landscape of glioblastoma (GBM) has become more clear, including characteristic genetic alterations in EGER. In routine clinical practice, genetic alterations in GBMs are identified using several disparate techniques that consume already limited amounts of tissue and add to overall testing costs. In this study, we sought to determine if the full spectrum of EGFR mutations in GBMs could be detected using a single next generation sequencing (NGS) based oncology assay in 34 consecutive cases. Using a battery of informatics tools to identify single nucleotide variants, insertions and deletions, and amplification (including variants EGFRvIII and EGFRvV), twenty-one of the 34 (62%) individuals had at least one alteration in EGFR by sequencing, consistent with published datasets. Mutations detected include several single nucleotide variants, amplification (confirmed by fluorescence in situ hybridization), and the variants EGFRvIII and EGFRvV (confirmed by multiplex ligation-dependent probe amplification). Here we show that a single NGS assay can identify the full spectrum of relevant EGFR mutations. Overall, sequencing based diagnostics have the potential to maximize the amount of genetic information obtained from GBMs and simultaneously reduce the total time, required specimen material, and costs associated with current multimodality studies. (C) 2015 Elsevier Inc. All rights reserved.
机译:随着大规模基因组分析的出现,胶质母细胞瘤(GBM)的遗传格局变得更加清晰,包括EGER中的特征性遗传改变。在常规的临床实践中,GBM中的遗传改变是使用几种不同的技术来识别的,这些技术消耗了已经有限数量的组织,并增加了总体测试成本。在这项研究中,我们试图确定在连续34例病例中,是否可以使用单一的基于下一代测序(NGS)的肿瘤学检测方法检测GBM中的EGFR突变的全谱。使用一系列信息学工具来鉴定单核苷酸变异,插入和缺失以及扩增(包括EGFRvIII和EGFRvV变异),在34个个体中,有21个(62%)通过测序至少有一个EGFR改变,与发表的文献一致。数据集。检测到的突变包括几个单核苷酸变体,扩增(通过荧光原位杂交确认)和变体EGFRvIII和EGFRvV(通过多重连接依赖性探针扩增确认)。在这里,我们显示单个NGS分析可以识别相关EGFR突变的全谱。总体而言,基于测序的诊断方法有可能最大化从GBM获得的遗传信息量,同时减少总时间,所需标本材料以及与当前多模式研究相关的成本。 (C)2015 Elsevier Inc.保留所有权利。

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