Kristyn Galbraith, Jonathan Serrano, Guomiao Shen, Ivy Tran, Cheyanne C Slocum, Courtney Ketchum, Zied Abdullaev, Rust Turakulov, Tejus Bale, Marc Ladanyi, Purvil Sukhadia, Michael Zaidinski, Kerry Mullaney, Sara DiNapoli, Benjamin L Liechty, Marissa Barbaro, Jeffrey C Allen, Sharon L Gardner, Jeffrey Wisoff, David Harter, Eveline Teresa Hidalgo, John G Golfinos, Daniel A Orringer, Kenneth Aldape, Jamal Benhamida, Kazimierz O Wrzeszczynski, George Jour, Matija Snuderl
{"title":"Impact of Rare and Multiple Concurrent Gene Fusions on Diagnostic DNA Methylation Classifier in Brain Tumors.","authors":"Kristyn Galbraith, Jonathan Serrano, Guomiao Shen, Ivy Tran, Cheyanne C Slocum, Courtney Ketchum, Zied Abdullaev, Rust Turakulov, Tejus Bale, Marc Ladanyi, Purvil Sukhadia, Michael Zaidinski, Kerry Mullaney, Sara DiNapoli, Benjamin L Liechty, Marissa Barbaro, Jeffrey C Allen, Sharon L Gardner, Jeffrey Wisoff, David Harter, Eveline Teresa Hidalgo, John G Golfinos, Daniel A Orringer, Kenneth Aldape, Jamal Benhamida, Kazimierz O Wrzeszczynski, George Jour, Matija Snuderl","doi":"10.1158/1541-7786.MCR-23-0627","DOIUrl":null,"url":null,"abstract":"<p><p>DNA methylation is an essential molecular assay for central nervous system (CNS) tumor diagnostics. While some fusions define specific brain tumors, others occur across many different diagnoses. We performed a retrospective analysis of 219 primary CNS tumors with whole genome DNA methylation and RNA next-generation sequencing. DNA methylation profiling results were compared with RNAseq detected gene fusions. We detected 105 rare fusions involving 31 driver genes, including 23 fusions previously not implicated in brain tumors. In addition, we identified 6 multi-fusion tumors. Rare fusions and multi-fusion events can impact the diagnostic accuracy of DNA methylation by decreasing confidence in the result, such as BRAF, RAF, or FGFR1 fusions, or result in a complete mismatch, such as NTRK, EWSR1, FGFR, and ALK fusions.</p><p><strong>Implications: </strong>DNA methylation signatures need to be interpreted in the context of pathology and discordant results warrant testing for novel and rare gene fusions.</p>","PeriodicalId":19095,"journal":{"name":"Molecular Cancer Research","volume":" ","pages":"21-28"},"PeriodicalIF":4.1000,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10942665/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Cancer Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/1541-7786.MCR-23-0627","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
DNA methylation is an essential molecular assay for central nervous system (CNS) tumor diagnostics. While some fusions define specific brain tumors, others occur across many different diagnoses. We performed a retrospective analysis of 219 primary CNS tumors with whole genome DNA methylation and RNA next-generation sequencing. DNA methylation profiling results were compared with RNAseq detected gene fusions. We detected 105 rare fusions involving 31 driver genes, including 23 fusions previously not implicated in brain tumors. In addition, we identified 6 multi-fusion tumors. Rare fusions and multi-fusion events can impact the diagnostic accuracy of DNA methylation by decreasing confidence in the result, such as BRAF, RAF, or FGFR1 fusions, or result in a complete mismatch, such as NTRK, EWSR1, FGFR, and ALK fusions.
Implications: DNA methylation signatures need to be interpreted in the context of pathology and discordant results warrant testing for novel and rare gene fusions.
期刊介绍:
Molecular Cancer Research publishes articles describing novel basic cancer research discoveries of broad interest to the field. Studies must be of demonstrated significance, and the journal prioritizes analyses performed at the molecular and cellular level that reveal novel mechanistic insight into pathways and processes linked to cancer risk, development, and/or progression. Areas of emphasis include all cancer-associated pathways (including cell-cycle regulation; cell death; chromatin regulation; DNA damage and repair; gene and RNA regulation; genomics; oncogenes and tumor suppressors; signal transduction; and tumor microenvironment), in addition to studies describing new molecular mechanisms and interactions that support cancer phenotypes. For full consideration, primary research submissions must provide significant novel insight into existing pathway functions or address new hypotheses associated with cancer-relevant biologic questions.