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Experimentally Deduced Criteria for Detection of Clinically Relevant Fusion 3' Oncogenes from FFPE Bulk RNA Sequencing Data

Overview
Journal Biomedicines
Date 2022 Aug 26
PMID 36009413
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Abstract

Drugs targeting receptor tyrosine kinase (RTK) oncogenic fusion proteins demonstrate impressive anti-cancer activities. The fusion presence in the cancer is the respective drug prescription biomarker, but their identification is challenging as both the breakpoint and the exact fusion partners are unknown. RNAseq offers the advantage of finding both fusion parts by screening sequencing reads. Paraffin (FFPE) tissue blocks are the most common way of storing cancer biomaterials in biobanks. However, finding RTK fusions in FFPE samples is challenging as RNA fragments are short and their artifact ligation may appear in sequencing libraries. Here, we annotated RNAseq reads of 764 experimental FFPE solid cancer samples, 96 leukemia samples, and 2 cell lines, and identified 36 putative clinically relevant RTK fusions with junctions corresponding to exon borders of the fusion partners. Where possible, putative fusions were validated by RT-PCR (confirmed for 10/25 fusions tested). For the confirmed 3'RTK fusions, we observed the following distinguishing features. Both moieties were in-frame, and the tyrosine kinase domain was preserved. RTK exon coverage by RNAseq reads upstream of the junction site were lower than downstream. Finally, most of the true fusions were present by more than one RNAseq read. This provides the basis for automatic annotation of 3'RTK fusions using FFPE RNAseq profiles.

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References
1.
Frenkel-Morgenstern M, Lacroix V, Ezkurdia I, Levin Y, Gabashvili A, Prilusky J . Chimeras taking shape: potential functions of proteins encoded by chimeric RNA transcripts. Genome Res. 2012; 22(7):1231-42. PMC: 3396365. DOI: 10.1101/gr.130062.111. View

2.
Uhrig S, Ellermann J, Walther T, Burkhardt P, Frohlich M, Hutter B . Accurate and efficient detection of gene fusions from RNA sequencing data. Genome Res. 2021; 31(3):448-460. PMC: 7919457. DOI: 10.1101/gr.257246.119. View

3.
Doebele R, Drilon A, Paz-Ares L, Siena S, Shaw A, Farago A . Entrectinib in patients with advanced or metastatic NTRK fusion-positive solid tumours: integrated analysis of three phase 1-2 trials. Lancet Oncol. 2019; 21(2):271-282. PMC: 7461630. DOI: 10.1016/S1470-2045(19)30691-6. View

4.
Vladimirova U, Rumiantsev P, Zolotovskaia M, Albert E, Abrosimov A, Slashchuk K . DNA repair pathway activation features in follicular and papillary thyroid tumors, interrogated using 95 experimental RNA sequencing profiles. Heliyon. 2021; 7(3):e06408. PMC: 7970325. DOI: 10.1016/j.heliyon.2021.e06408. View

5.
Jorgensen J . The current landscape of the FDA approved companion diagnostics. Transl Oncol. 2021; 14(6):101063. PMC: 7957094. DOI: 10.1016/j.tranon.2021.101063. View