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

  • 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 discriminatesTreatment 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.show moreshow less

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Metadaten
Author:Justin Z. Wang, Vikas Patil, Alexander P. Landry, Chloe Gui, Andrew Ajisebutu, Jeff Liu, Olli Saarela, Stephanie L. Pugh, Minhee Won, Zeel Patel, Rebeca Yakubov, Ramneet Kaloti, Christopher Wilson, Aaron Cohen-Gadol, Mohamed A. Zaazoue, Ghazaleh Tabatabai, Marcos Tatagiba, Felix BehlingORCiDGND, Damian A. Almiron Bonnin, Eric C. Holland, Tim J. Kruser, Jill S. Barnholtz-Sloan, Andrew E. Sloan, Craig Horbinski, Silky Chotai, Lola B. Chambless, Andrew Gao, Alexander D. Rebchuk, Serge Makarenko, Stephen Yip, Felix Sahm, Sybren L. N. Maas, Derek S. Tsang, C. Leland Rogers, Kenneth Aldape, Farshad Nassiri, Gelareh Zadeh
URN:urn:nbn:de:bvb:384-opus4-1251057
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/125105
ISSN:1078-8956OPAC
ISSN:1546-170XOPAC
Parent Title (English):Nature Medicine
Publisher:Springer Science and Business Media LLC
Place of publication:Berlin
Type:Article
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2025/09/20
Volume:30
Issue:11
First Page:3173
Last Page:3183
Note:
Full author list includes the International Consortium on Meningiomas (ICOM). Please see publisher's website for further details.
DOI:https://doi.org/10.1038/s41591-024-03167-4
Institutes:Medizinische Fakultät
Medizinische Fakultät / Universitätsklinikum
Medizinische Fakultät / Professur für translationale onkologische Neurochirurgie
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)