研究动态
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分子分类以完善脑膜瘤的手术和放射治疗决策。

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

发表日期:2024 Aug 21
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 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
来源: NATURE MEDICINE

摘要:

通过手术和有时放射治疗肿瘤和硬脑膜边缘是脑膜瘤治疗的基石。分子分类提供了对疾病生物学的见解;然而,对治疗的反应仍然存在差异。在这项研究中,我们使用 RTOG-0539 2 期试验中 2,824 个脑膜瘤的回顾性数据,包括 1,686 个肿瘤和 100 个前瞻性脑膜瘤的分子数据来定义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)以及增殖性脑膜瘤的较长总生存期相关。与未治疗(Simpson 3 级)相比,硬脑膜边缘治疗(Simpson 1/2 级)可延长 PFS。分子组分类预测了对放射治疗的反应,包括 RTOG-0539 队列。我们随后开发了一种分子模型来预测放射治疗的反应,该模型比标准护理分类更好地区分结果。这项研究强调了分子分析在完善手术和放射治疗决策方面的潜力。© 2024。作者。
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.© 2024. The Author(s).