Feasibility and utility of the custom RNA-seq for the identification of therapeutic targets and diagnostic biomarkers in glioma.

Abstract

e14029 Background: The detection of novel therapeutic targets is increasingly important in oncology. The Todai OncoPanel (TOP) RNA panel is a custom target RNA-seq using the junction capture method to maximize the sensitivity in detecting of known 456 fusion gene transcripts, which is scheduled to be approved for clinical application in Japan in April 2023. Above, TOP RNA panel interrogates aberrantly spliced transcripts and analyzes the expression profiles of 1,390 genes. Malignant brain tumors, including gliomas, require various molecular profiles to be classified based on the latest WHO classification criteria, while their poor prognosis also necessitates new therapeutic targets. In this study, we aimed to classify gliomas and identify the molecular targets by TOP RNA panel. Methods: Among 131 frozen tumor samples of malignant gliomas, 124 samples passed quality control for further validation and were subjected to TOP RNA panel to classify based on the molecular profiles and to identify the molecular targets. Fusion detection and RNA expression analysis were conducted with the original pipeline. Cluster analysis and Gene Set Enrichment Analysis (GSEA) were performed to identify gene sets specific for individual subtypes. Copy numbers of tyrosine kinase genes, MDM2 and CDK4 were evaluated by digital droplet PCR (ddPCR). Results: Among 58 cases of glioblastoma, gene fusions were detected in 11 cases (19.0%) including novel MET fusions, and overexpression of seven tyrosine kinase genes were observed in 21 cases (36.2%). Of the 34 overexpressed genes, gene amplification was observed in 17 genes (50%) by ddPCR. In contrast to IDH-wildtype glioblastoma, IDH-mutant tumors including astrocytomas and oligodendrogliomas hardly harbored fusion genes or gene overexpression. GSEA to compare astrocytomas and oligodendrogliomas identified that the gene sets related to 1p36 and 19q were relatively enriched in astrocytoma, suggesting that regional genomic DNA copy number alterations can be evaluated by gene expression analysis. Conclusions: TOP RNA panel is utilized not only for the detection of molecular targets but also for the molecular classification of glioma, both of which is essential for providing treatments optimized for the individual patients.