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Associations of meningioma molecular subgroup and tumor recurrence

Authors :
Julien Boetto
Turker Kilic
Matthieu Peyre
Jennifer Moliterno
Kaya Bilguvar
Mark W. Youngblood
Danielle F Miyagishima
Amar H. Sheth
Michel Kalamarides
Daniel Duran
Julio D Montejo
Lan Jin
M. Necmettin Pamir
Nduka Amankulor
Murat Gunel
Timucin Avsar
Chang Li
Trisha P Gupte
Koray Özduman
Amy Y Zhao
Anita Huttner
Evgeniya Tyrtova
Francesco Iacoangeli
E. Zeynep Erson-Omay
Matthew Pease
Acibadem University Dspace
Yale University School of Medicine
Northwestern University Feinberg School of Medicine
Central South University [Changsha]
University of Mississippi Medical Center (UMMC)
Dartmouth Hitchcock Medical Center
Department of Neurological Surgery, University of Washington, Seattle, WA
Acıbadem University School of Medicine
Service de Neurochirurgie [CHU Pitié-Salpêtrière]
CHU Pitié-Salpêtrière [AP-HP]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
University of Pittsburgh School of Medicine
Pennsylvania Commonwealth System of Higher Education (PCSHE)
Bahcesehir University [Istanbul]
Acibadem University
Source :
Neuro-Oncology, Neuro-Oncology, Oxford University Press (OUP), 2021, 23 (5), pp.783-794. ⟨10.1093/neuonc/noaa226⟩, Neuro Oncol
Publication Year :
2021
Publisher :
OXFORD UNIV PRESS INC, 2021.

Abstract

Background We and others have identified mutually exclusive molecular subgroups of meningiomas; however, the implications of this classification for clinical prognostication remain unclear. Integrated genomic and epigenomic analyses implicate unique oncogenic processes associated with each subgroup, suggesting the potential for divergent clinical courses. The aim of this study was to understand the associated clinical outcomes of each subgroup, as this could optimize treatment for patients. Methods We analyzed outcome data for 469 meningiomas of known molecular subgroup, including extent of resection, postoperative radiation, surveillance imaging, and time to recurrence, when applicable. Statistical relationships between outcome variables and subgroup were assessed. Features previously associated with recurrence were further investigated after stratification by subgroup. We used Kaplan–Meier analyses to compare progression-free survival, and identified factors significantly associated with recurrence using Cox proportional hazards modeling. Results Meningioma molecular subgroups exhibited divergent clinical courses at 2 years of follow-up, with several aggressive subgroups (NF2, PI3K, HH, tumor necrosis factor receptor–associated factor 7 [TRAF7]) recurring at an average rate of 22 times higher than others (KLF4, POLR2A, SMARCB1). PI3K-activated tumors recurred earlier than other subgroups but had intermediate long-term outcome. Among low-grade tumors, HH and TRAF7 meningiomas exhibited elevated recurrence compared with other subgroups. Recurrence of NF2 tumors was associated with male sex, high grade, and elevated Ki-67. Multivariate analysis identified molecular subgroup as an independent predictor of recurrence, along with grade and previous recurrence. Conclusion We describe distinct clinical outcomes and recurrence rates associated with meningioma molecular subgroups. Our findings emphasize the importance of genomic characterization to guide postoperative management decisions for meningiomas.

Details

ISSN :
15228517
Database :
OpenAIRE
Journal :
Neuro-Oncology, Neuro-Oncology, Oxford University Press (OUP), 2021, 23 (5), pp.783-794. ⟨10.1093/neuonc/noaa226⟩, Neuro Oncol
Accession number :
edsair.doi.dedup.....6e014123b4339f16ebb95bba1e334b26
Full Text :
https://doi.org/10.1093/neuonc/noaa226