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Molecular classification to refine surgical and radiotherapeutic decision-making in meningioma
- Wang, Justin Z;
- Patil, Vikas;
- Landry, Alexander P;
- Gui, Chloe;
- Ajisebutu, Andrew;
- Liu, Jeff;
- Saarela, Olli;
- Pugh, Stephanie L;
- Won, Minhee;
- Patel, Zeel;
- Yakubov, Rebeca;
- Kaloti, Ramneet;
- Wilson, Christopher;
- Cohen-Gadol, Aaron;
- Zaazoue, Mohamed A;
- Tabatabai, Ghazaleh;
- Tatagiba, Marcos;
- Behling, Felix;
- Almiron Bonnin, Damian A;
- Holland, Eric C;
- Kruser, Tim J;
- Barnholtz-Sloan, Jill S;
- Sloan, Andrew E;
- Horbinski, Craig;
- Chotai, Silky;
- Chambless, Lola B;
- Gao, Andrew;
- Rebchuk, Alexander D;
- Makarenko, Serge;
- Yip, Stephen;
- Sahm, Felix;
- Maas, Sybren LN;
- Tsang, Derek S;
- Rogers, C Leland;
- Aldape, Kenneth;
- Nassiri, Farshad;
- Zadeh, Gelareh
Published Web Location
https://doi.org/10.1038/s41591-024-03167-4Abstract
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.
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