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Development and validation of a TaqMan Array for cancer mutation analysis

  • H. Kikuchi
  • , A. Reiman
  • , J. Nyoni
  • , K. Lloyd
  • , R. Savage
  • , T. Wotherspoon
  • , L. Berry
  • , D. Snead
  • , Ian A. Cree
    • University Hospitals Coventry and Warwickshire NHS Trust
    • University of Warwick
    • University College London

    Research output: Contribution to journalArticlepeer-review

    183 Downloads (Pure)

    Abstract

    Introduction Optimal cancer treatment with targeted agents requires rapid, comprehensive and accurate molecular assays to analyse actionable oncogenic mutations across multiple tumour types. Materials and Methods We describe a PCR panel based on the 384 well TaqMan Array® (Thermo Fisher Scientific). This allows measurement of common RAS (NRAS and KRAS), EGFR and BRAF mutations in a single assay (the REB Array), analysing 44 mutations in 7 samples per plate. This retrospective study includes 96 patients with NSCLC (n = 42), colorectal cancer (n = 26), and melanoma (n = 28) with previous mutational analysis. Samples with discrepant results were sequenced to confirm the result. Results The REB achieved 93% concordance with the Therascreen EGFR assay (Qiagen), 95% concordance with the KRAS castPCR assay (Thermo Fisher), and 100% concordance with the cobas BRAF assay (Roche). There were 2 true discrepancies, most likely a result of sample quality or differences in sensitivity between the assays that depend on set thresholds to determine the presence of mutations. Analysis of the performance of the REB Array gave an overall sensitivity of 92%, with a positive predictive value of 100% and negative predictive value of 84.24%. Conclusion The REB array is comparable to competing PCR methods with the additional advantages of a broader range of mutations, simplified manual handling, and reduced overall cost per sample.
    Original languageEnglish
    Pages (from-to)1-8
    JournalPathogenesis
    Volume3
    Issue number1
    DOIs
    Publication statusPublished - Feb 2016

    Bibliographical note

    Under a Creative Commons License

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • PCR
    • TaqMan
    • Array
    • Mutation
    • DNA
    • Cancer

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