Literature DB >> 27770852

Comparison of Next-Generation Sequencing Panels and Platforms for Detection and Verification of Somatic Tumor Variants for Clinical Diagnostics.

Maksym Misyura1, Tong Zhang1, Mahadeo A Sukhai1, Mariam Thomas1, Swati Garg1, Suzanne Kamel-Reid2, Tracy L Stockley3.   

Abstract

Use of next-generation sequencing to detect somatic variants in DNA extracted from formalin-fixed, paraffin-embedded tumor tissues poses a challenge for clinical molecular diagnostic laboratories because of variable DNA quality and quantity, and the potential to detect low allele frequency somatic variants difficult to verify by non-next-generation sequencing methods. We evaluated somatic variant detection performance of the MiSeq and Ion Proton benchtop sequencers using two commercially available panels, the TruSeq Amplicon Cancer Panel and the AmpliSeq Cancer Hotspot Panel Version 2. Both the MiSeq-TruSeq Amplicon Cancer Panel and Ion Proton-AmpliSeq Cancer Hotspot Panel Version 2 were comparable in terms of detection of somatic variants and allele frequency determination using DNA extracted from tumor tissue. Concordance was 100% between the panels for detection of somatic variants in genomic regions tested by both panels, including 27 variants present at low somatic allele frequency (<15%). Use of both the MiSeq and Ion Proton platforms in a combined workflow enabled detection of potentially actionable variants with importance for patient diagnosis, prognosis, or treatment in 49% (305/621) of cases. Overall, a combined workflow using both platforms enabled successful molecular profiling of 96% (621/644) of tumor samples, and provided an approach for verification of somatic variants not amenable to verification by Sanger sequencing (<15% variant allele frequency).
Copyright © 2016 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27770852     DOI: 10.1016/j.jmoldx.2016.06.004

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


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