4.4 Article

Development and Validation of an RNA Sequencing Assay for Gene Fusion Detection in Formalin-Fixed, Paraffin-Embedded Tumors

Journal

JOURNAL OF MOLECULAR DIAGNOSTICS
Volume 23, Issue 2, Pages 223-233

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jmoldx.2020.11.005

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Funding

  1. Chinese National Precise Medical Research Key Project [2017YFC0908500, 2017YFC0908502]

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RNA-seq was evaluated for detecting gene fusions in clinical FFPE tumor samples in this study, showing high sensitivity and reproducibility. The assay successfully identified spiked-in fusions, known fusions, and additional fusions not covered by a DNA panel, highlighting its potential to complement DNA-based sequencing assays.
RNA sequencing (RNA-seq) is a well-validated tool for detecting gene fusions in fresh-frozen tumors; however, RNA-seq is much more challenging to use with formalin-fixed, paraffin-embedded (FFPE) tumor samples. We evaluated the performance of RNA-seq to detect gene fusions in clinical FFPE tumor samples. Our assay identified all 15 spiked-in NTRK fusions from RNA reference material and six known fusions from five cancer cell lines. Limit of detection for the assay was assessed with a series of dilutions of RNA from the cell line H2228. These fusions can be detected when the dilution is down to 10%. Good intra-assay and interassay reproducibility was observed in three specimens. For clinical validation, the assay detected 10 of 12 fusions initially identified by a DNA panel (covering 23 gene fusions) in clinical specimens (83.3% sensitivity), whereas one fusion (MET fusion) was identified in another 34 fusion-negative tumor specimens as determined by the DNA panel (negative prediction value of 94.3%). This MET fusion was confirmed by RT-PCR and Sanger sequencing, which found that this is a false-negative result for the DNA panel. The assay also identified 26 extra fusions not covered by the DNA panel, 20 (76.9%) of which were validated by RT-PCR and Sanger sequencing. Therefore, this RNA assay has reasonable performance and could complement DNA-based next-generation sequencing assays.

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