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Review ArticleReview

Current practices and guidelines for clinical next-generation sequencing oncology testing

Samuel P. Strom
Cancer Biology & Medicine March 2016, 13 (1) 3-11; DOI: https://doi.org/10.28092/j.issn.2095-3941.2016.0004
Samuel P. Strom
1Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
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    Figure1

    Summary of technical validity and clinical utility assessment for cancer NGS. (A) NGS basecalling, wherein a DNA sequence and corresponding confidence score is generated from a nuclear genomic DNA template. (B) The next step, which compares all available data to the reference and each other. Variant calling is then performed (underlined bases in panel B), comparing base calls across many reads; many false positive variant calls (x'ed out bases) can be filtered, while true positives (circled bases) should generate a strong signal. (C) Multiple quality metrics are generated during variant calling, which can be compared to cutoffs established during assay validation (dashed lines). (D) Detailed review of available databases and literature (left side) and comparison to clinical history and tumor pathology (right side) to assess clinical utility. VAF, variant allele frequency; QUAL, variant call quality; COSMIC, Catalogue of Somatic Mutations in Cancer; TKIs, tyrosine kinase inhibitor therapies.

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    Figure2

    Alignment views of four variants detected by NGS. Each panel depicts a representative set of variant reads for single nucleotide variant (A and B) or insertion/deletion variants (C and D) with either high quality (A and C) or low quality (B and D). The human genome reference sequence is the string of bases along the top of each panel. Aligned basecalls matching the reference are listed as dots (plus strand) or commas (minus strand). High quality variants typically have higher variant allele frequencies (VAF), and variants reads have fewer additional variants. Panel D depicts known false positive locus, likely due to the "homopolymer problem" where certain NGS technologies overcall insertion/deletion variants where the reference sequence has five or more of the same nucleotides in a row (in this case, 8 guanines).

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    Table1

    Summary of valuable references and guidelines relevant to clinical NGS oncology testing

    SourceTitleContent summaryReference
    New York State Board of Health"Next Generation" Sequencing (NGS) guidelines for somatic genetic variant detectionDetailed standards for technical validity11
    ACMGStandards and guidelines for the interpretation of sequence VariantsGuidelines for clinical validity assessment, particularly for germline/constitutional variants12
    ACMGACMG clinical laboratory standards for next-generation sequencingBroad summaries of major areas of consideration for clinical validation of all NGS assay13
    CDCAssuring the quality of next-generation sequencing in clinical laboratory practiceDetailed recommendations for technical validity assessment/validation of all NGS assays14
    CDCGood laboratory practice for clinical next-generation sequencing informatics pipelinesDetailed recommendations for clinical validity assessment for all NGS assays15
    Quest Diagnostics (reference laboratory)Annotation of sequence variants in cancer samples processes and pitfalls for routine assays in the clinical laboratoryThe framework for a repeatable workflow for clinical validity assessment in use at a high volume testing facility is described16

    ACMG: American College of Medical Genetics and Genomics; CDC: United States Centers for Disease Control and Prevention

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    Cancer Biology and Medicine: 13 (1)
    Cancer Biology & Medicine
    Vol. 13, Issue 1
    1 Mar 2016
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    Current practices and guidelines for clinical next-generation sequencing oncology testing
    Samuel P. Strom
    Cancer Biology & Medicine Mar 2016, 13 (1) 3-11; DOI: 10.28092/j.issn.2095-3941.2016.0004

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    Current practices and guidelines for clinical next-generation sequencing oncology testing
    Samuel P. Strom
    Cancer Biology & Medicine Mar 2016, 13 (1) 3-11; DOI: 10.28092/j.issn.2095-3941.2016.0004
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    Keywords

    • Cancer genomics
    • next-generation sequencing
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