Reliable Next-Generation Sequencing of Formalin-Fixed, Paraffin-Embedded Tissue Using Single Molecule Tags

Astrid Eijkelenboom, Eveline J Kamping, Annemiek W Kastner-van Raaij, Sandra J Hendriks-Cornelissen, Kornelia Neveling, Roland P Kuiper, Alexander Hoischen, Marcel R Nelen, Marjolijn J L Ligtenberg, Bastiaan B J Tops

Research output: Contribution to journalArticlepeer-review

85 Citations (Scopus)

Abstract

Sequencing of tumor DNA to detect genetic aberrations is becoming increasingly important, not only to refine cancer diagnoses but also to predict response to targeted treatments. Next-generation sequencing is widely adopted in diagnostics for the analyses of DNA extracted from routinely processed formalin-fixed, paraffin-embedded tissue, fine-needle aspirates, or cytologic smears. PCR-based enrichment strategies are usually required to obtain sufficient read depth for reliable detection of genetic aberrations. However, although the read depth relates to sensitivity and specificity, PCR duplicates generated during target enrichment may result in overestimation of library complexity, which may result in false-negative results. Here, we report the validation of a 23-gene panel covering 41 hotspot regions using single-molecule tagging of DNA molecules by single-molecule molecular inversion probes (smMIPs), allowing assessment of library complexity. The smMIP approach outperforms Sanger and Ampliseq-Personal Genome Machine-based sequencing in our clinical diagnostic setting. Furthermore, single-molecule tags allow consensus sequence read formation, allowing detection to 1% allele frequency and reliable exclusion of variants to 3%. The number of false-positive calls is also markedly reduced (>10-fold), and our panel design allows for distinction between true mutations and deamination artifacts. Not only is this technique superior, smMIP-based library preparation is also scalable, easy to automate, and flexible. We have thus implemented this approach for sequence analysis of clinical samples in our routine diagnostic workflow.

Original languageEnglish
Pages (from-to)851-863
Number of pages13
JournalThe Journal of molecular diagnostics : JMD
Volume18
Issue number6
DOIs
Publication statusPublished - Nov 2016
Externally publishedYes

Keywords

  • Alleles
  • Biomarkers, Tumor
  • Gene Frequency
  • High-Throughput Nucleotide Sequencing/methods
  • Humans
  • Immunohistochemistry/methods
  • Mutation
  • Neoplasms/diagnosis
  • Reproducibility of Results
  • Sensitivity and Specificity

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