Detection of gene rearrangements in targeted clinical next-generation sequencing

Haley J Abel1, Hussam Al-Kateb2, Catherine E Cottrell2

  • 1Department of Genetics, Washington University, St. Louis, Missouri.

Insights

Targeted next-generation sequencing accurately detects ALK and KMT2A gene rearrangements in clinical cancer samples, matching fluorescence in situ hybridization (FISH) performance. This method offers enhanced efficiency and detailed information for molecular oncology testing.

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Genetics

Background:

  • Recurrent gene rearrangements are crucial for cancer risk stratification and treatment.
  • Targeted next-generation sequencing (NGS) shows potential for identifying these rearrangements.
  • The clinical utility of NGS for rearrangement detection remains largely unproven.

Purpose of the Study:

  • To evaluate the sensitivity and specificity of targeted NGS for detecting ALK and KMT2A rearrangements in a clinical setting.
  • To compare NGS-based detection with the established fluorescence in situ hybridization (FISH) method.
  • To assess the performance of different publicly available software tools for NGS rearrangement analysis.

Main Methods:

  • Analysis of 7 ALK-rearranged cancers, 6 KMT2A-rearranged leukemias, and 77 negative cases previously tested by FISH.
  • Utilized publicly available software tools: Breakdancer, ClusterFAST, CREST, and Hydra for rearrangement detection.
  • Compared NGS results with FISH findings for validation.

Main Results:

  • Breakdancer and ClusterFAST correctly identified all 7 ALK and 6 KMT2A rearrangements.
  • No false positives were observed in the 77 negative cases using Breakdancer or ClusterFAST.
  • Identified a novel ALK noncanonical breakpoint potentially impacting targeted therapy response.

Conclusions:

  • Targeted NGS demonstrates sensitivity and specificity comparable to FISH for detecting clinically relevant gene rearrangements.
  • NGS offers finer-scale information and increased efficiency for molecular oncology diagnostics.
  • NGS is a viable and powerful tool for clinical laboratory identification of gene rearrangements in cancer.