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Updated: May 20, 2025

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
Published on: August 4, 2016
Real-World Data Analysis of Genomic Alterations Detected by a Dual DNA-RNA Comprehensive Genomic Profiling Test
Kousuke Watanabe1, Miho Ogawa1, Aya Shinozaki-Ushiku2,3
1Next-Generation Precision Medicine Development Laboratory, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Abstract:
GenMineTOP, the first dual DNA-RNA comprehensive genomic profiling (CGP) test in Japan, was approved for reimbursement in 2023. To evaluate its clinical utility, we analyzed 1356 cases from the Center for Cancer Genomics and Advanced Therapeutics (C-CAT) database. Oncogenic genomic alterations were identified in 91.5% of cases. Somatic mutations were the most prevalent, followed by amplifications and fusion/exon skipping events. The DNA panel, covering 737 genes, detected not only alterations relevant to therapeutic decisions but also those providing insights into tumor biology. Among the latter, frequently observed examples included mutations in KMT2C (n = 28) and ARID1B (n = 24), and amplifications in GLI1 (n = 14) and YAP1 (n = 10), which are not included in other CGP tests approved in Japan. The RNA panel identified 105 fusion events, including 11 NTRK fusions (0.8%), of which five were NTRK3 fusions: two with the well-known ETV6-NTRK3 fusion and three with non-ETV6 partners. Forty-nine of these fusions were diagnostically significant, highlighting the utility of the RNA panel. Amplification-RNA expression analyses revealed strong correlations for MDM2, CDK4, EGFR, and ERBB2. In contrast, weaker correlations observed for MYC and FGFR1 highlighted the need for careful interpretation of amplification in these genes. Cancer type significantly influenced RNA expression, with KIT and TERT mutations linked to increased expression and significant overexpression observed in ALK, FGFR3, NTRK1, NTRK3, and RET fusions. In summary, this study demonstrated the real-world clinical utility of the dual DNA-RNA CGP test and provided a valuable resource for interpreting RNA expressions.
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