Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation

Carina Heydt1, Christina B Wölwer2, Oscar Velazquez Camacho2

  • 1Institute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany. carina.heydt@uk-koeln.de.

BMC Medical Genomics
|February 28, 2021
PubMed
Abstract

Insights

This study evaluated five gene fusion detection assays for lung cancer. RNA-based parallel sequencing assays are effective for reliable clinical diagnostics of targetable gene fusions.

Area of Science:

  • Molecular Oncology
  • Genomics
  • Cancer Diagnostics

Background:

  • Gene fusions are crucial therapeutic targets in lung cancer.
  • Accurate detection of multiple gene fusions is essential for effective cancer treatment.

Purpose of the Study:

  • To evaluate the performance of five commercial parallel sequencing assays for detecting gene fusions.
  • To compare RNA-based and DNA-based assays in identifying known gene fusions in various samples.

Main Methods:

  • Comparison of five commercially available parallel sequencing assays (four RNA-based, one DNA-based).
  • Assays included hybrid capture and amplicon-based methods.
  • Evaluation performed on eight cell lines and 18 FFPE tissue samples with known gene fusions.

Main Results:

  • The Illumina assay demonstrated high sensitivity and specificity, detecting all fusions with minimal false positives.
  • ArcherDX and Qiagen panels showed high accuracy, missing only one fusion event each.
  • The Thermo Fisher Scientific assay had limitations in fusion coverage and accuracy; the Agilent DNA-based assay also showed notable false positives and missed fusions.

Conclusions:

  • RNA-based parallel sequencing assays are highly effective for detecting targetable gene fusions.
  • These methods are valuable tools for clinical diagnostics in lung cancer management.