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| Home > Publications database > LOGGIC Core BioClinical Data Bank: Added clinical value of RNA-Seq in an international molecular diagnostic registry for pediatric low-grade glioma patients. |
| Home > Publications database > LOGGIC Core BioClinical Data Bank: Added clinical value of RNA-Seq in an international molecular diagnostic registry for pediatric low-grade glioma patients. |
| Journal Article | DKFZ-2023-00787 |
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2023
Oxford Univ. Press
Oxford
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Please use a persistent id in citations: doi:10.1093/neuonc/noad078
Abstract: The international, multicenter registry LOGGIC Core BioClinical Data Bank aims to enhance the understanding of tumor biology in pediatric low-grade glioma (pLGG) and provide clinical and molecular data to support treatment decisions and interventional trial participation. Hence, the question arises whether implementation of RNA sequencing (RNA-Seq) using Fresh Frozen (FrFr) tumor tissue in addition to gene panel and DNA methylation analysis improves diagnostic accuracy and provides additional clinical benefit.Analysis of patients age 0 to 21 years, enrolled in Germany between 04/2019 and 02/2021, and for whom FrFr tissue was available. Central reference histopathology, immunohistochemistry, 850k DNA methylation analysis, gene panel sequencing and RNA-Seq were performed.FrFr tissue was available in 178/379 enrolled cases. RNA-Seq was performed on 125 of these samples. We confirmed KIAA1549::BRAF-fusion (n=71), BRAF V600E-mutation (n=12) and alterations in FGFR1 (n=14) as the most frequent alterations, among other common molecular drivers (n=12). . N=16 cases (13%) presented rare gene fusions (e.g. TPM3::NTRK1, EWSR1::VGLL1, SH3PXD2A::HTRA1, PDGFB::LRP1, GOPC::ROS1). In n=27 cases (22%), RNA-Seq detected a driver alteration not otherwise identified (22/27 actionable). The rate of driver alteration detection was hereby increased from 75% to 97%. Furthermore, FGFR1 ITD (n=6) were only detected by RNA-Seq using current bioinformatics pipelines, leading to a change in analysis protocols.The addition of RNA-Seq to current diagnostic methods improves diagnostic accuracy, making precision oncology treatments (MEKi/RAFi/ERKi/NTRKi/FGFRi/ROSi) more accessible. We propose to include RNA-Seq as part of routine diagnostics for all pLGG patients, especially when no common pLGG alteration was identified.
Keyword(s): RNA sequencing ; actionable drivers ; molecular profiling ; pLGG ; rare gene fusions
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