biostudies-literatureLassche GBayer B.V.4156https://www.ebi.ac.uk/biostudies/studies/S-EPMC9454424biostudies-literatureUnknown14(17)<b>Introduction:</b> Salivary gland cancer (SGC) is a rare cancer for which systemic treatment options are limited. Therefore, it is important to characterize its genetic landscape in search for actionable aberrations, such as <i>NTRK</i> gene fusions. This research aimed to identify these actionable aberrations by combining NGS-based analysis of RNA (gene fusions) and DNA (single and multiple nucleotide variants, copy number variants, microsatellite instability and tumor mutational burden) in a large cohort of SGC patients. <b>Methods:</b> RNA and DNA were extracted from archival tissue of 121 patients with various SGC subtypes. Gene fusion analysis was performed using a customized RNA-based targeted NGS panel. DNA was sequenced using a targeted NGS panel encompassing 523 cancer-related gCancersIdentification of Fusion Genes and Targets for Genetically Matched Therapies in a Large Cohort of Salivary Gland Cancer Patients.PMC9454424RD-SOP-1257Lassche GEijkelenboom AVerhaegh GWTjan MJHLigtenberg MJLvan Helvert Svan Cleef PHJGrunberg Kvan Herpen CMLKamping EJJansen EAMvan Engen-van Grunsven ACHfalseIdentification of Fusion Genes and Targets for Genetically Matched Therapies in a Large Cohort of Salivary Gland Cancer Patients.<b>Introduction:</b> Salivary gland cancer (SGC) is a rare cancer for which systemic treatment options are limited. Therefore, it is important to characterize its genetic landscape in search for actionable aberrations, such as <i>NTRK</i> gene fusions. This research aimed to identify these actionable aberrations by combining NGS-based analysis of RNA (gene fusions) and DNA (single and multiple nucleotide variants, copy number variants, microsatellite instability and tumor mutational burden) in a large cohort of SGC patients. <b>Methods:</b> RNA and DNA were extracted from archival tissue of 121 patients with various SGC subtypes. Gene fusion analysis was performed using a customized RNA-based targeted NGS panel. DNA was sequenced using a targeted NGS panel encompassing 523 cancer-related g2022-01-01T00:00:00Z2022 Aug2026-04-08T11:01:02.85Z2024-11-06T07:06:29.926ZS-EPMC94544243607769210.3390/cancers14174156