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Molecular classification to refine surgical and radiotherapeutic decision-making in meningioma.

Authors :
Wang JZ
Patil V
Landry AP
Gui C
Ajisebutu A
Liu J
Saarela O
Pugh SL
Won M
Patel Z
Yakubov R
Kaloti R
Wilson C
Cohen-Gadol A
Zaazoue MA
Tabatabai G
Tatagiba M
Behling F
Almiron Bonnin DA
Holland EC
Kruser TJ
Barnholtz-Sloan JS
Sloan AE
Horbinski C
Chotai S
Chambless LB
Gao A
Rebchuk AD
Makarenko S
Yip S
Sahm F
Maas SLN
Tsang DS
Rogers CL
Aldape K
Nassiri F
Zadeh G
Source :
Nature medicine [Nat Med] 2024 Nov; Vol. 30 (11), pp. 3173-3183. Date of Electronic Publication: 2024 Aug 21.
Publication Year :
2024

Abstract

Treatment of the tumor and dural margin with surgery and sometimes radiation are cornerstones of therapy for meningioma. Molecular classifications have provided insights into the biology of disease; however, response to treatment remains heterogeneous. In this study, we used retrospective data on 2,824 meningiomas, including molecular data on 1,686 tumors and 100 prospective meningiomas, from the RTOG-0539 phase 2 trial to define molecular biomarkers of treatment response. Using propensity score matching, we found that gross tumor resection was associated with longer progression-free survival (PFS) across all molecular groups and longer overall survival in proliferative meningiomas. Dural margin treatment (Simpson grade 1/2) prolonged PFS compared to no treatment (Simpson grade 3). Molecular group classification predicted response to radiotherapy, including in the RTOG-0539 cohort. We subsequently developed a molecular model to predict response to radiotherapy that discriminates outcome better than standard-of-care classification. This study highlights the potential for molecular profiling to refine surgical and radiotherapy decision-making.<br />Competing Interests: Competing interests S.Y. is a member of advisory boards and has received honoraria from AstraZeneca, Amgen, Bayer, Janssen, Pfizer, Roche and Servier. The remaining authors declare no competing interests.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1546-170X
Volume :
30
Issue :
11
Database :
MEDLINE
Journal :
Nature medicine
Publication Type :
Academic Journal
Accession number :
39169220
Full Text :
https://doi.org/10.1038/s41591-024-03167-4