All-in-one bimodal DNA and RNA next-generation sequencing panel for integrative diagnosis of glioma

Previously, we constructed a DNA-based next-generation sequencing (NGS) panel for an integrated diagnosis of gliomas according to the 2021 World Health Organization classification system. The aim of the current study was to evaluate the feasibility of a modified panel to include fusion gene detection via RNA-based analysis. Using this bimodal DNA/RNA panel, we analyzed 210 cases of gliomas and others to identify fusion genes in addition to gene alterations, including TERT promoter (TERTp) mutation and 1p/19q co-deletion, in formalin-fixed paraffin-embedded tissues. Of the 210 patients, fusion genes were detected in tumors of 35 patients. Eighteen of 112 glioblastomas (GBs) harbored fusion genes, including EGFR and FGFR3 fusions. In IDH-mutant astrocytoma, 6 of 30 cases showed fusion genes such as MET and NTRK2 fusions. Eleven molecular GBs and 20 not-elsewhere-classified cases harbored no gene fusions. Other 11 tumors including ependymoma, pilocytic astrocytoma, diffuse hemispheric glioma, infant-type hemispheric glioma, and solitary fibrous tumors exhibited diagnostic fusion genes. Overall, our results suggest that the all-in-one bimodal DNA/RNA panel is reliable for detecting diagnostic gene alterations in accordance with the latest WHO classification. The integrative pathological and molecular strategy could be valuable in confirmation of diagnosis and selection of treatment options for brain tumors.

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Publication Details

Journal
Pathology - Research and Practice
Published
2024-09-28
DOI
https://doi.org/10.1016/j.prp.2024.155598
Citations
2
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.88

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All-in-one bimodal DNA and RNA next-generation sequencing panel for integrative diagnosis of glioma

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article

All-in-one bimodal DNA and RNA next-generation sequencing panel for integrative diagnosis of glioma

Junkoh Yamamoto, Nayuta Higa, Toshiaki Akahane, Yuhei Sangatsuda, Daisuke Kuga, Ryosuke Otsuji, Ryutaro Makino, Akihide Tanimoto, Hiroyuki Uchida, Seiya Yokoyama, Koji Yoshimoto, Yutaka Fujioka, Masamichi Kurosaki, Nobutaka Horie, Mari Kirishima, Nobuhiro Hata, Ryosuke Hanaya, Hitoshi Yamahata, Hajime Yonezawa, Tomoko Takajo
article en
2 citations

Abstract

Previously, we constructed a DNA-based next-generation sequencing (NGS) panel for an integrated diagnosis of gliomas according to the 2021 World Health Organization classification system. The aim of the current study was to evaluate the feasibility of a modified panel to include fusion gene detection via RNA-based analysis. Using this bimodal DNA/RNA panel, we analyzed 210 cases of gliomas and others to identify fusion genes in addition to gene alterations, including TERT promoter (TERTp) mutation and 1p/19q co-deletion, in formalin-fixed paraffin-embedded tissues. Of the 210 patients, fusion genes were detected in tumors of 35 patients. Eighteen of 112 glioblastomas (GBs) harbored fusion genes, including EGFR and FGFR3 fusions. In IDH-mutant astrocytoma, 6 of 30 cases showed fusion genes such as MET and NTRK2 fusions. Eleven molecular GBs and 20 not-elsewhere-classified cases harbored no gene fusions. Other 11 tumors including ependymoma, pilocytic astrocytoma, diffuse hemispheric glioma, infant-type hemispheric glioma, and solitary fibrous tumors exhibited diagnostic fusion genes. Overall, our results suggest that the all-in-one bimodal DNA/RNA panel is reliable for detecting diagnostic gene alterations in accordance with the latest WHO classification. The integrative pathological and molecular strategy could be valuable in confirmation of diagnosis and selection of treatment options for brain tumors.

Pathology - Research and PracticeVol. 263
Kagoshima University (JP), Hiroshima University (JP), Kyushu University (JP), University of Occupational and Environmental Health Japan (JP), Oita University (JP), Kagoshima University Hospital (JP), Tottori University (JP)
Japan Society for the Promotion of Science
Zero hunger
Openalex Percentile: Top 24%
Glioma Diagnosis and Treatment
0.88
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