4.7 Article

Reducing Sequence Artifacts in Amplicon-Based Massively Parallel Sequencing of Formalin-Fixed Paraffin-Embedded DNA by Enzymatic Depletion of Uracil-Containing Templates

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CLINICAL CHEMISTRY
卷 59, 期 9, 页码 1376-1383

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AMER ASSOC CLINICAL CHEMISTRY
DOI: 10.1373/clinchem.2012.202390

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  1. Cancer Council of Victoria
  2. Cancer Council of Victoria, Cancer Australia, National Health and Medical Research Council (Australia)

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BACKGROUND: Formalin-fixed, paraffin-embedded (FFPE) tissues are routinely used for detecting mutational biomarkers in patients with cancer. A previous intractable challenge with FFPE DNA in genetic testing has been the high number of artifactual single-nucleotide changes (SNCs), particularly for the detection of lowlevel mutations. Pretreatment of FFPE DNA with uracil-DNA glycosylase (UDG) can markedly reduce these C:G>T:A SNCs with a small panel of amplicons. This procedure has implications for massively parallel sequencing approaches to mutation detection from DNA. We investigated whether sequence artifacts were problematic in amplicon-based massively parallel sequencing and what effect UDG pretreatment had on reducing these artifacts. METHODS: We amplified selected amplicons from lung cancer FFPE DNAs using the TruSeq Cancer Panel. SNCs occurring at a frequency <10% were considered most likely to represent sequence artifacts and were enumerated for both UDG-treated and -untreated DNAs. RESULTS: Massively parallel sequencing of FFPE DNA samples showed multiple SNCs, predominantly C:G>T:A changes, with a significant proportion occurring above the background sequencing error (defined as 1%). UDG pretreatment markedly reduced C:G>T:A SNCs without affecting the detection of true somatic mutations. However, C:G>T:A changes within CpG dinucleotides were often resistant to the UDG treatment as a consequence of 5-methyl cytosine being deaminated to thymine rather than uracil. CONCLUSIONS: UDG pretreatment greatly facilitates the accurate discrimination of mutations in FFPE samples by use of amplicon-based approaches. This is particularly important when working with samples with low tumor purity or for the assessment of mutational heterogeneity in tumors. (C) 2013 American Association for Clinical Chemistry

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