A Retrospective Genomic Landscape of 661 Young Adult Glioblastomas Diagnosed Using 2016 WHO Guidelines for Central Nervous System Tumors.
brain cancer
central nervous system
glioblastoma
next-generation sequencing
Journal
The oncologist
ISSN: 1549-490X
Titre abrégé: Oncologist
Pays: England
ID NLM: 9607837
Informations de publication
Date de publication:
24 Aug 2023
24 Aug 2023
Historique:
received:
01
08
2022
accepted:
21
05
2023
medline:
24
8
2023
pubmed:
24
8
2023
entrez:
24
8
2023
Statut:
aheadofprint
Résumé
The authors present a cohort of 661 young adult glioblastomas diagnosed using 2016 WHO World Health Organization Classification of Tumors of the Central Nervous System, utilizing comprehensive genomic profiling (CGP) to explore their genomic landscape and assess their relationship to currently defined disease entities. This analysis explored variants with evidence of pathogenic function, common copy number variants (CNVs), and several novel fusion events not described in literature. Tumor mutational burden (TMB) mutational signatures, anatomic location, and tumor recurrence are further explored. Using data collected from CGP, unsupervised machine-learning techniques were leveraged to identify 10 genomic classes in previously assigned young adult glioblastomas. The authors relate these molecular classes to current World Health Organization guidelines and reference current literature to give therapeutic and prognostic descriptions where possible.
Identifiants
pubmed: 37619245
pii: 7250313
doi: 10.1093/oncolo/oyad224
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Foundation Medicine Inc
Informations de copyright
© The Author(s) 2023. Published by Oxford University Press.