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

分子分类改进脑膜瘤的手术和放射治疗决策

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作者: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 Behling, Damian A

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.

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