Performance of next-generation sequencing on small tumor specimens and/or low tumor content samples using a commercially available platform
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Morris, ScottSubramanian, Janakiraman
Gel, Esma
Runger, George
Thompson, Eric
Mallery, David
Weiss, Glen
Affiliation
Univ Arizona, Coll Med PhoenixIssue Date
2018-04-27
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Morris S, Subramanian J, Gel E, Runger G, Thompson E, Mallery D, et al. (2018) Performance of next-generation sequencing on small tumor specimens and/or low tumor content samples using a commercially available platform. PLoS ONE 13(4): e0196556. https://doi.org/10.1371/journal.pone.0196556Journal
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© 2018 Morris et al. This is an open access article distributed under the terms of the Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Background Next generation sequencing tests (NGS) are usually performed on relatively small core biopsy or fine needle aspiration (FNA) samples. Data is limited on what amount of tumor by volume or minimum number of FNA passes are needed to yield sufficient material for running NGS. We sought to identify the amount of tumor for running the PCDx NGS platform. Methods 2,723 consecutive tumor tissues of all cancer types were queried and reviewed for inclusion. Information on tumor volume, success of performing NGS, and results of NGS were compiled. Assessment of sequence analysis, mutation calling and sensitivity, quality control, drug associations, and data aggregation and analysis were performed. Results 6.4% of samples were rejected from all testing due to insufficient tumor quantity. The number of genes with insufficient sensitivity make definitive mutation calls increased as the percentage of tumor decreased, reaching statistical significance below 5% tumor content. The number of drug associations also decreased with a lower percentage of tumor, but this difference only became significant between 1-3%. The number of drug associations did decrease with smaller tissue size as expected. Neither specimen size or percentage of tumor affected the ability to pass mRNA quality control. A tumor area of 10 mm(2) provides a good margin of error for specimens to yield adequate drug association results. Conclusions Specimen suitability remains a major obstacle to clinical NGS testing. We determined that PCR-based library creation methods allow the use of smaller specimens, and those with a lower percentage of tumor cells to be run on the PCDx NGS platform.Note
Open access journal.ISSN
1932-6203PubMed ID
29702695Version
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Paradigm Diagnosticsae974a485f413a2113503eed53cd6c53
10.1371/journal.pone.0196556
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Except where otherwise noted, this item's license is described as © 2018 Morris et al. This is an open access article distributed under the terms of the Creative Commons Attribution License.
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