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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

  • Xiaobei Zhao
  • , Anyou Wang
  • , Vonn Walter
  • , Nirali M. Patel
  • , David A. Eberhard
  • , Michele C. Hayward
  • , Ashley H. Salazar
  • , Heejoon Jo
  • , Matthew G. Soloway
  • , Matthew D. Wilkerson
  • , Joel S. Parker
  • , Xiaoying Yin
  • , Guosheng Zhang
  • , Marni B. Siegel
  • , Gary B. Rosson
  • , H. Shelton Earp
  • , Norman E. Sharpless
  • , Margaret L. Gulley
  • , Karen E. Weck
  • , D. Neil Hayes
  • Stergios J. Moschos

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Article numbere0129280
JournalPloS one
Volume10
Issue number6
DOIs
StatePublished - Jun 15 2015

All Science Journal Classification (ASJC) codes

  • General

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