International Journal of Molecular Sciences (Sep 2022)

mRNA Capture Sequencing and RT-qPCR for the Detection of Pathognomonic, Novel, and Secondary Fusion Transcripts in FFPE Tissue: A Sarcoma Showcase

  • Anneleen Decock,
  • David Creytens,
  • Steve Lefever,
  • Joni Van der Meulen,
  • Jasper Anckaert,
  • Ariane De Ganck,
  • Jill Deleu,
  • Bram De Wilde,
  • Carolina Fierro,
  • Scott Kuersten,
  • Manuel Luypaert,
  • Isabelle Rottiers,
  • Gary P. Schroth,
  • Sandra Steyaert,
  • Katrien Vanderheyden,
  • Eveline Vanden Eynde,
  • Kimberly Verniers,
  • Joke Verreth,
  • Jo Van Dorpe,
  • Jo Vandesompele

DOI
https://doi.org/10.3390/ijms231911007
Journal volume & issue
Vol. 23, no. 19
p. 11007

Abstract

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We assess the performance of mRNA capture sequencing to identify fusion transcripts in FFPE tissue of different sarcoma types, followed by RT-qPCR confirmation. To validate our workflow, six positive control tumors with a specific chromosomal rearrangement were analyzed using the TruSight RNA Pan-Cancer Panel. Fusion transcript calling by FusionCatcher confirmed these aberrations and enabled the identification of both fusion gene partners and breakpoints. Next, whole-transcriptome TruSeq RNA Exome sequencing was applied to 17 fusion gene-negative alveolar rhabdomyosarcoma (ARMS) or undifferentiated round cell sarcoma (URCS) tumors, for whom fluorescence in situ hybridization (FISH) did not identify the classical pathognomonic rearrangements. For six patients, a pathognomonic fusion transcript was readily detected, i.e., PAX3-FOXO1 in two ARMS patients, and EWSR1-FLI1, EWSR1-ERG, or EWSR1-NFATC2 in four URCS patients. For the 11 remaining patients, 11 newly identified fusion transcripts were confirmed by RT-qPCR, including COPS3-TOM1L2, NCOA1-DTNB, WWTR1-LINC01986, PLAA-MOB3B, AP1B1-CHEK2, and BRD4-LEUTX fusion transcripts in ARMS patients. Additionally, recurrently detected secondary fusion transcripts in patients diagnosed with EWSR1-NFATC2-positive sarcoma were confirmed (COPS4-TBC1D9, PICALM-SYTL2, SMG6-VPS53, and UBE2F-ALS2). In conclusion, this study shows that mRNA capture sequencing enhances the detection rate of pathognomonic fusions and enables the identification of novel and secondary fusion transcripts in sarcomas.

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