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Updated: Jul 20, 2025

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RNA Sequencing for Solid Tumor Fusion Gene Detection: Proficiency Testing Practice and Performance Comparison.

Julia A Bridge1,2, Kevin C Halling3, Joel T Moncur4

  • 1From the Division of Cytogenetic and Molecular Pathology, ProPath, Dallas, Texas (Bridge).

Archives of Pathology & Laboratory Medicine
|August 3, 2023
PubMed
Summary

Clinical laboratories show high accuracy in detecting fusion genes using RNA sequencing. However, challenges remain in identifying intragenic rearrangements and exon-skipping events, with false negatives occurring more frequently for these complex alterations.

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Area of Science:

  • Molecular Diagnostics
  • Genomic Medicine
  • Clinical Pathology

Background:

  • RNA sequencing is vital for detecting genetic alterations like fusion genes in clinical labs.
  • The College of American Pathologists (CAP) provides proficiency testing (PT) for RNA sequencing assays.

Purpose of the Study:

  • To evaluate laboratory performance in RNA sequencing for detecting fusion genes, intragenic rearrangements, and exon-skipping events.
  • Analyze CAP PT data from 2018-A to 2021-B to assess assay accuracy and laboratory practices.

Main Methods:

  • Analysis of results from 153 laboratories participating in the CAP RNA sequencing PT program.
  • Evaluation of 24 PT specimens with 22 distinct engineered fusion transcripts.
  • Assessment of correct fusion event identification, performance variables, and laboratory practices.

Main Results:

  • Overall sensitivity for fusion gene detection was 95.5%.
  • False-negative rates were 3.6% for fusion genes and 18.3% for intragenic rearrangements/exon-skipping events.
  • Few false positives were reported, likely due to pre/postanalytical errors; no practice characteristics correlated with detection results.

Conclusions:

  • Clinical RNA sequencing demonstrates high sensitivity and specificity for fusion gene detection.
  • Laboratory performance was consistent across different methodologies.
  • Intragenic rearrangement and exon-skipping event detection showed higher false-negative rates compared to fusion genes.