Nature Medicine ( IF 58.7 ) Pub Date : 2024-08-21 , DOI: 10.1038/s41591-024-03167-4 Justin Z Wang 1, 2, 3 , Vikas Patil 1, 3 , Alexander P Landry 1, 2, 3 , Chloe Gui 1, 2, 3 , Andrew Ajisebutu 1, 3 , Jeff Liu 1, 3 , Olli Saarela 4 , Stephanie L Pugh 5 , Minhee Won 5 , Zeel Patel 6 , Rebeca Yakubov 1, 3 , Ramneet Kaloti 1, 3 , Christopher Wilson 7 , Aaron Cohen-Gadol 8 , Mohamed A Zaazoue 9, 10 , Ghazaleh Tabatabai 11, 12, 13 , Marcos Tatagiba 14 , Felix Behling 14 , Damian A Almiron Bonnin 15 , Eric C Holland 16 , Tim J Kruser 17 , Jill S Barnholtz-Sloan 18, 19, 20 , Andrew E Sloan 21 , Craig Horbinski 22, 23 , Silky Chotai 24 , Lola B Chambless 24 , Andrew Gao 25 , Alexander D Rebchuk 26 , Serge Makarenko 26 , Stephen Yip 27 , Felix Sahm 28, 29 , Sybren L N Maas 30, 31 , Derek S Tsang 32 , , C Leland Rogers 33 , Kenneth Aldape 34 , Farshad Nassiri 1, 2, 3 , Gelareh Zadeh 1, 2, 3, 35
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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.
中文翻译:

分子分类以改进脑膜瘤的手术和放射治疗决策
通过手术和有时放疗治疗肿瘤和硬脑膜边缘是脑膜瘤治疗的基础。分子分类为疾病生物学提供了见解;然而,对治疗的反应仍然存在异质性。在这项研究中,我们使用了来自 RTOG-0539 2 期试验的 2,824 例脑膜瘤的回顾性数据,包括 1,686 例肿瘤和 100 例前瞻性脑膜瘤的分子数据,以确定治疗反应的分子生物标志物。使用倾向评分匹配,我们发现大体肿瘤切除与所有分子组的较长无进展生存期 (PFS) 和增殖性脑膜瘤的总生存期较长相关。与不治疗(Simpson 3 级)相比,硬脑膜切缘治疗(Simpson 1/2 级)延长了 PFS。分子组分类预测了对放疗的反应,包括 RTOG-0539 队列。我们随后开发了一个分子模型来预测对放疗的反应,该模型比标准护理分类更能区分结果。这项研究强调了分子分析在改进手术和放疗决策方面的潜力。