TY - JOUR
T1 - Reliable Next-Generation Sequencing of Formalin-Fixed, Paraffin-Embedded Tissue Using Single Molecule Tags
AU - Eijkelenboom, Astrid
AU - Kamping, Eveline J
AU - Kastner-van Raaij, Annemiek W
AU - Hendriks-Cornelissen, Sandra J
AU - Neveling, Kornelia
AU - Kuiper, Roland P
AU - Hoischen, Alexander
AU - Nelen, Marcel R
AU - Ligtenberg, Marjolijn J L
AU - Tops, Bastiaan B J
N1 - Copyright © 2016 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.
PY - 2016/11
Y1 - 2016/11
N2 - 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.
AB - 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.
KW - Alleles
KW - Biomarkers, Tumor
KW - Gene Frequency
KW - High-Throughput Nucleotide Sequencing/methods
KW - Humans
KW - Immunohistochemistry/methods
KW - Mutation
KW - Neoplasms/diagnosis
KW - Reproducibility of Results
KW - Sensitivity and Specificity
U2 - 10.1016/j.jmoldx.2016.06.010
DO - 10.1016/j.jmoldx.2016.06.010
M3 - Article
C2 - 27637301
SN - 1525-1578
VL - 18
SP - 851
EP - 863
JO - The Journal of molecular diagnostics : JMD
JF - The Journal of molecular diagnostics : JMD
IS - 6
ER -