Key considerations for comprehensive validation of an RNA fusion NGS panel

Subit Barua1, Gary Wang1, Mahesh Mansukhani1

  • 1Department of Pathology and Cell Biology, Columbia University Medical Center, New York, USA.

Abstract

Insights

This study validates an RNA fusion panel for detecting gene fusions in solid tumors, improving diagnostic yield by 10% when used as a reflex test. The assay demonstrates high accuracy and clinical utility for therapy selection.

Area of Science:

  • Molecular diagnostics
  • Genomic medicine
  • Oncology

Background:

  • Detecting therapeutically targetable gene fusions using RNA-based next-generation sequencing (NGS) assays presents validation challenges.
  • Targeted fusion panels are crucial for identifying actionable mutations in solid tumors.

Purpose of the Study:

  • To systematically validate a targeted RNA fusion panel for detecting 17 clinically relevant gene fusions.
  • To implement and assess the utility of this RNA Fusion Panel as a reflex test for tumors lacking DNA driver mutations.

Main Methods:

  • Validation involved 44 formalin-fixed, paraffin-embedded (FFPE) or fresh-frozen tumor samples across various types.
  • Accuracy, precision, reproducibility, and sensitivity were assessed using additional fusion-positive specimens and a calibrated reference standard.
  • Quality control metrics adhered to New York State guidelines.

Main Results:

  • The RNA fusion panel achieved accuracy, reproducibility, and precision rates exceeding 99%.
  • The limit of detection for most RNA fusion transcripts was 50 copies.
  • Implementing the assay as a reflex test increased diagnostic yield by 10% in 450 tumor samples with minimal added processing time.

Conclusions:

  • The validated RNA fusion panel offers significant clinical utility for guiding therapy selection in patients with solid tumors.
  • This RNA fusion assay complements DNA hotspot testing in a sequential approach, enhancing the identification of clinically relevant variants.
  • The assay provides a valuable tool for comprehensive genomic profiling across diverse tumor types.