{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Lassche G"],"funding":["Bayer B.V."],"pagination":["4156"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9454424"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(17)"],"pubmed_abstract":["<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 g"],"journal":["Cancers"],"pubmed_title":["Identification of Fusion Genes and Targets for Genetically Matched Therapies in a Large Cohort of Salivary Gland Cancer Patients."],"pmcid":["PMC9454424"],"funding_grant_id":["RD-SOP-1257"],"pubmed_authors":["Lassche G","Eijkelenboom A","Verhaegh GW","Tjan MJH","Ligtenberg MJL","van Helvert S","van Cleef PHJ","Grunberg K","van Herpen CML","Kamping EJ","Jansen EAM","van Engen-van Grunsven ACH"],"additional_accession":[]},"is_claimable":false,"name":"Identification of Fusion Genes and Targets for Genetically Matched Therapies in a Large Cohort of Salivary Gland Cancer Patients.","description":"<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 g","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Aug","modification":"2026-04-08T11:01:02.85Z","creation":"2024-11-06T07:06:29.926Z"},"accession":"S-EPMC9454424","cross_references":{"pubmed":["36077692"],"doi":["10.3390/cancers14174156"]}}