Validation of the Oncomine focus panel for next-generation sequencing of clinical tumour samples

Hannah L Williams1,2,3, Kathy Walsh4, Austin Diamond5

  • 1UKNEQAS for Molecular Genetics, Royal Infirmary of Edinburgh, Edinburgh, UK. hlw37@st-andrews.ac.uk.

Insights

This study validates the Ion Torrent Personal Genome Machine and Oncomine Focus panels for clinical next-generation sequencing (NGS) of solid tumors. The DNA assay demonstrated high sensitivity and specificity, crucial for reliable clinical variant detection in FFPE tissues.

Area of Science:

  • Clinical Molecular Diagnostics
  • Genomic Technologies
  • Oncology

Background:

  • Next-generation sequencing (NGS) is increasingly vital for multiplexed DNA and RNA analysis in clinical settings.
  • Rigorous validation is essential for translating NGS technologies into routine clinical practice.
  • Formalin-fixed, paraffin-embedded (FFPE) tissues are commonly used in solid tumor testing.

Purpose of the Study:

  • To clinically validate the Ion Torrent Personal Genome Machine (IonPGM) and Oncomine Focus DNA and RNA Fusion panels.
  • To assess the performance of these panels for solid tumor testing using FFPE tissues.
  • To evaluate the robustness of the bioinformatics pipeline for variant detection and interpretation.

Main Methods:

  • Sequencing of 86 samples using the Oncomine Focus DNA assay and 31 samples using the Oncomine Focus RNA Fusion assay.
  • Utilized a mix of routine FFPE and reference materials across diverse tissue and specimen types.
  • Assessed performance parameters including sensitivity, specificity, and bioinformatics pipeline robustness.

Main Results:

  • The Oncomine Focus DNA assay achieved 99.1% sample-based and 97.1% variant-based sensitivity, with 100% specificity.
  • Good sequencing performance was observed, with 92% of clinical samples achieving >500X amplicon coverage.
  • While the RNA Fusion panel showed good performance, further validation is needed due to limited sample numbers. The IonReporter workflow had challenges with indel detection, improved by NextGENe software.

Conclusions:

  • The validated NGS panels are suitable for clinical application in solid tumor testing.
  • The study highlights the importance of comprehensive bench and bioinformatic validation for NGS assays.
  • Employing multiple analysis software tools is recommended to ensure the identification of clinically actionable variants.

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