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Combined Targeted DNA Sequencing in Non-Small Cell Lung Cancer (NSCLC) Using UNCseq and NGScopy and RNA Sequencing Using UNCqeR for the Detection of Genetic Aberrations in NSCLC

机译:使用UNCseq和NGScopy在非小细胞肺癌(NSCLC)中进行联合靶向DNA测序并使用UNCqeR进行RNA测序以检测NSCLC中的遗传异常

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摘要

The recent FDA approval of the MiSeqDx platform provides a unique opportunity to develop targeted next generation sequencing (NGS) panels for human disease, including cancer. We have developed a scalable, targeted panel-based assay termed UNCseq, which involves a NGS panel of over 200 cancer-associated genes and a standardized downstream bioinformatics pipeline for detection of single nucleotide variations (SNV) as well as small insertions and deletions (indel). In addition, we developed a novel algorithm, NGScopy, designed for samples with sparse sequencing coverage to detect large-scale copy number variations (CNV), similar to human SNP Array 6.0 as well as small-scale intragenic CNV. Overall, we applied this assay to 100 snap-frozen lung cancer specimens lacking same-patient germline DNA (07–0120 tissue cohort) and validated our results against Sanger sequencing, SNP Array, and our recently published integrated DNA-seq/RNA-seq assay, UNCqeR, where RNA-seq of same-patient tumor specimens confirmed SNV detected by DNA-seq, if RNA-seq coverage depth was adequate. In addition, we applied the UNCseq assay on an independent lung cancer tumor tissue collection with available same-patient germline DNA (11–1115 tissue cohort) and confirmed mutations using assays performed in a CLIA-certified laboratory. We conclude that UNCseq can identify SNV, indel, and CNV in tumor specimens lacking germline DNA in a cost-efficient fashion.
机译:FDA最近对MiSeqDx平台的批准为开发针对人类疾病(包括癌症)的靶向下一代测序(NGS)面板提供了独特的机会。我们已经开发出一种可扩展的,有针对性的,基于专家组的检测方法,称为UNCseq,它涉及超过200种与癌症相关的基因的NGS专家组和标准化的下游生物信息学流程,用于检测单核苷酸变异(SNV)以及小的插入和缺失(插入缺失) )。此外,我们开发了一种新颖的算法NGScopy,其设计用于具有稀疏测序覆盖率的样品,以检测大规模的拷贝数变异(CNV),类似于人SNP Array 6.0以及小规模的基因内CNV。总体而言,我们将此分析方法应用于100例缺乏同一患者种系DNA的速冻肺癌标本(07-0120组织队列),并针对Sanger测序,SNP Array和我们最近发表的整合DNA-seq / RNA-seq验证了我们的结果检测方法,UNCqeR,如果RNA-seq覆盖深度足够,则同一患者肿瘤标本的RNA-seq确认通过DNA-seq检测到SNV。此外,我们将UNCseq分析应用于可利用的相同患者种系DNA(11-1115组织队列)的独立肺癌肿瘤组织集合中,并使用在CLIA认证的实验室中进行的分析来确认突变。我们得出的结论是,UNCseq可以以经济高效的方式鉴定缺乏种系DNA的肿瘤标本中的SNV,indel和CNV。

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