GBGeorge J. Burghel

George J. Burghel

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


George J. Burghel has a total of 6 co-authors. Here are the top co-authors by number of shared publications:

  • Carolyn D. Hurst

    Leeds Institute of Cancer & Pathology, University of Leeds, St. James's University Hospital, Leeds LS9 7TF, UK

    1 shared publication
  • Christopher Mark Watson

    Leeds Institute of Medical Research, School of Medicine, University of Leeds, Leeds, UK

    1 shared publication
  • Helen Dickinson

    Yorkshire Regional Genetics Service, St. James's University Hospital, Leeds LS9 7TF, UK

    1 shared publication
  • Margaret A. Knowles

    Leeds Institute of Cancer & Pathology, University of Leeds, St. James's University Hospital, Leeds LS9 7TF, UK

    1 shared publication
  • Paul Roberts

    Yorkshire Regional Genetics Service, St. James's University Hospital, Leeds LS9 7TF, UK

    1 shared publication
  • Philip Chambers

    Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK

    1 shared publication

Latest Publications

  • Open Access

    Towards a Next-Generation Sequencing Diagnostic Service for Tumour Genotyping: A Comparison of Panels and Platforms

    by George J. Burghel, Carolyn D. Hurst, Christopher M. Watson, Phillip A. Chambers, Helen Dickinson, Paul Roberts, Margaret A. Knowles

    Detection of clinically actionable mutations in diagnostic tumour specimens aids in the selection of targeted therapeutics. With an ever increasing number of clinically significant mutations identified, tumour genetic diagnostics is moving from single to multigene analysis. As it is still not feasible for routine diagnostic laboratories to perform sequencing of the entire cancer genome, our approach was to undertake targeted mutation detection. To optimise our diagnostic workflow, we evaluated three target enrichment strategies using two next-generation sequencing (NGS) platforms (Illumina MiSeq and Ion PGM). The target enrichment strategies were Fluidigm Access Array custom amplicon panel including 13 genes (MiSeq sequencing), the Oxford Gene Technologies (OGT) SureSeq Solid Tumour hybridisation panel including 60 genes (MiSeq sequencing), and an Ion AmpliSeq Cancer Hotspot Panel including 50 genes (Ion PGM sequencing). DNA extracted from formalin-fixed paraffin-embedded (FFPE) blocks of eight previously characterised cancer cell lines was tested using the three panels. Matching genomic DNA from fresh cultures of these cell lines was also tested using the custom Fluidigm panel and the OGT SureSeq Solid Tumour panel. Each panel allowed mutation detection of core cancer genes includingKRAS,BRAF, andEGFR. Our results indicate that the panels enable accurate variant detection despite sequencing from FFPE DNA.