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使用髓系恶性肿瘤二代测序panel同时检测靶向拷贝数变异和突变,可通过单一检测策略进行全面的基因分析。

Concurrent detection of targeted copy number variants and mutations using a myeloid malignancy next generation sequencing panel allows comprehensive genetic analysis using a single testing strategy.

作者信息

Shen Wei, Szankasi Philippe, Sederberg Maria, Schumacher Jonathan, Frizzell Kimberly A, Gee Elaine P, Patel Jay L, South Sarah T, Xu Xinjie, Kelley Todd W

机构信息

ARUP Laboratories, Salt Lake City, UT, USA.

Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, USA.

出版信息

Br J Haematol. 2016 Apr;173(1):49-58. doi: 10.1111/bjh.13921. Epub 2016 Jan 5.

Abstract

Currently, comprehensive genetic testing of myeloid malignancies requires multiple testing strategies with high costs. Somatic mutations can be detected by next generation sequencing (NGS) but copy number variants (CNVs) require cytogenetic methods including karyotyping, fluorescence in situ hybidization and microarray. Here, we evaluated a new method for CNV detection using read depth data derived from a targeted NGS mutation panel. In a cohort of 270 samples, we detected pathogenic mutations in 208 samples and targeted CNVs in 68 cases. The most frequent CNVs were 7q deletion including LUC7L2 and EZH2, TP53 deletion, ETV6 deletion, gain of RAD21 on 8q, and 5q deletion, including NSD1 and NPM1. We were also able to detect exon-level duplications, including so-called KMT2A (MLL) partial tandem duplication, in 9 cases. In the 63 cases that were negative for mutations, targeted CNVs were observed in 4 cases. Targeted CNV detection by NGS had very high concordance with single nucleotide polymorphism microarray, the current gold standard. We found that ETV6 deletion was strongly associated with TP53 alterations and 7q deletion was associated with mutations in TP53, KRAS and IDH1. This proof-of-concept study demonstrates the feasibility of using the same NGS data to simultaneously detect both somatic mutations and targeted CNVs.

摘要

目前,髓系恶性肿瘤的全面基因检测需要多种检测策略,成本高昂。体细胞突变可通过下一代测序(NGS)检测,但拷贝数变异(CNV)需要细胞遗传学方法,包括核型分析、荧光原位杂交和微阵列。在此,我们评估了一种利用靶向NGS突变panel获得的测序深度数据进行CNV检测的新方法。在一个270个样本的队列中,我们在208个样本中检测到致病突变,在68例中检测到靶向CNV。最常见的CNV是7号染色体长臂缺失,包括LUC7L2和EZH2、TP53缺失、ETV6缺失、8号染色体长臂上RAD21的扩增以及5号染色体长臂缺失,包括NSD1和NPM1。我们还在9例中检测到外显子水平的重复,包括所谓的KMT2A(MLL)部分串联重复。在63例突变阴性的病例中,有4例观察到靶向CNV。通过NGS进行的靶向CNV检测与目前的金标准单核苷酸多态性微阵列具有很高的一致性。我们发现ETV6缺失与TP53改变密切相关,7号染色体长臂缺失与TP53、KRAS和IDH1突变相关。这项概念验证研究证明了使用相同的NGS数据同时检测体细胞突变和靶向CNV的可行性。

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