Oncogenic Fusions in Gliomas: An Institutional Experience.


Journal

Anticancer research
ISSN: 1791-7530
Titre abrégé: Anticancer Res
Pays: Greece
ID NLM: 8102988

Informations de publication

Date de publication:
04 2022
Historique:
received: 30 09 2021
revised: 01 02 2022
accepted: 08 03 2022
entrez: 29 3 2022
pubmed: 30 3 2022
medline: 5 4 2022
Statut: ppublish

Résumé

Gliomas are primary malignancies of the central nervous system (CNS). High-grade gliomas are associated with poor prognosis and modest survival rates despite intensive multimodal treatment strategies. Targeting gene fusions is an emerging therapeutic approach for gliomas that allows application of personalized medicine principles. The aim of this study was to identify detectable fusion oncogenes that could serve as predictors of currently available or newly developed targeted therapeutics in cross-sectional samples from glioma patients using next-generation sequencing (NGS). A total of 637 patients with glial and glioneuronal tumours of the CNS who underwent tumour resection between 2017 and 2020 were enrolled. Detection of fusion transcripts in FFPE tumour tissue was performed by a TruSight Tumour 170 assay and two FusionPlex kits, Solid Tumour and Comprehensive Thyroid and Lung. Oncogene fusions were identified in 33 patients. The most common fusion was the KIAA1549-BRAF fusion, detected in 13 patients, followed by FGFR fusions (FGFR1-TACC1, FGFR2-CTNNA3, FGFR3-TACC3, FGFR3-CKAP5, FGFR3-AMBRA1), identified in 10 patients. Other oncogene fusions were also infrequently diagnosed, including MET fusions (SRPK2-MET and PTPRZ1-MET) in 2 patients, C11orf95-RELA fusions in 2 patients, EGFR-SEPT14 fusion in 2 patients, and individual cases of SRGAP3-BRAF, RAF1-TRIM2, EWSR1-PALGL1 and TERT-ALK fusions. The introduction of NGS techniques provides additional information about tumour molecular alterations that can aid the multimodal management of glioma patients. Patients with gliomas positive for particular targetable gene fusions may benefit from experimental therapeutics, enhancing their quality of life and prolonging survival rates.

Sections du résumé

BACKGROUND/AIM
Gliomas are primary malignancies of the central nervous system (CNS). High-grade gliomas are associated with poor prognosis and modest survival rates despite intensive multimodal treatment strategies. Targeting gene fusions is an emerging therapeutic approach for gliomas that allows application of personalized medicine principles. The aim of this study was to identify detectable fusion oncogenes that could serve as predictors of currently available or newly developed targeted therapeutics in cross-sectional samples from glioma patients using next-generation sequencing (NGS).
PATIENTS AND METHODS
A total of 637 patients with glial and glioneuronal tumours of the CNS who underwent tumour resection between 2017 and 2020 were enrolled. Detection of fusion transcripts in FFPE tumour tissue was performed by a TruSight Tumour 170 assay and two FusionPlex kits, Solid Tumour and Comprehensive Thyroid and Lung.
RESULTS
Oncogene fusions were identified in 33 patients. The most common fusion was the KIAA1549-BRAF fusion, detected in 13 patients, followed by FGFR fusions (FGFR1-TACC1, FGFR2-CTNNA3, FGFR3-TACC3, FGFR3-CKAP5, FGFR3-AMBRA1), identified in 10 patients. Other oncogene fusions were also infrequently diagnosed, including MET fusions (SRPK2-MET and PTPRZ1-MET) in 2 patients, C11orf95-RELA fusions in 2 patients, EGFR-SEPT14 fusion in 2 patients, and individual cases of SRGAP3-BRAF, RAF1-TRIM2, EWSR1-PALGL1 and TERT-ALK fusions.
CONCLUSION
The introduction of NGS techniques provides additional information about tumour molecular alterations that can aid the multimodal management of glioma patients. Patients with gliomas positive for particular targetable gene fusions may benefit from experimental therapeutics, enhancing their quality of life and prolonging survival rates.

Identifiants

pubmed: 35347013
pii: 42/4/1933
doi: 10.21873/anticanres.15671
doi:

Substances chimiques

AMBRA1 protein, human 0
Adaptor Proteins, Signal Transducing 0
Microtubule-Associated Proteins 0
TACC3 protein, human 0
Protein Serine-Threonine Kinases EC 2.7.11.1
SRPK2 protein, human EC 2.7.11.1
PTPRZ1 protein, human EC 3.1.3.48
Receptor-Like Protein Tyrosine Phosphatases, Class 5 EC 3.1.3.48

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1933-1939

Informations de copyright

Copyright © 2022 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Auteurs

Jiri Polivka (J)

Department of Histology and Embryology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.
Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.
Department of Neurology, University Hospital Pilsen, Pilsen, Czech Republic.

Marian Svajdler (M)

Sikl's Department of Pathology, University Hospital Pilsen, Pilsen, Czech Republic; svajdlerm@fnplzen.cz.
Biopticka laboratory s.r.o, Pilsen, Czech Republic.
Cytopathos, s.r.o., Bratislava, Slovak Republic.

Vladimir Priban (V)

Department of Neurosurgery, University Hospital Pilsen, Pilsen, Czech Republic.

Jan Mracek (J)

Department of Neurosurgery, University Hospital Pilsen, Pilsen, Czech Republic.

Petr Kasik (P)

Department of Neurosurgery, University Hospital Pilsen, Pilsen, Czech Republic.

Petr Martinek (P)

Biopticka laboratory s.r.o, Pilsen, Czech Republic.

Nikola Ptakova (N)

Biopticka laboratory s.r.o, Pilsen, Czech Republic.

Mahyar Sharif Bagheri (M)

Department of Biology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.

Dattatrya Shetti (D)

Department of Histology and Embryology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.

Martin Pesta (M)

Department of Biology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.

Pavel Potuznik (P)

Department of Neurology, University Hospital Pilsen, Pilsen, Czech Republic.

Ondrej Topolcan (O)

Department of Immunochemical Diagnostics, University Hospital Pilsen, Pilsen, Czech Republic.

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Classifications MeSH