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

IF 58.7 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
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, The International Consortium on Meningiomas (ICOM), C. Leland Rogers, Kenneth Aldape, Farshad Nassiri, Gelareh Zadeh
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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. In a large, partially prospective cohort of patients with molecularly profiled and clinically annotated meningioma, the extent of surgical resection and radiotherapy (RT) response correlate with molecular classification, which can be used in a molecular model to predict clinical outcomes in response to RT.

Abstract Image

Abstract Image

通过分子分类完善脑膜瘤手术和放射治疗决策
手术治疗肿瘤和硬脑膜边缘,有时进行放射治疗,是脑膜瘤治疗的基础。分子分类使人们对疾病的生物学特性有了更深入的了解;然而,对治疗的反应仍然各不相同。在这项研究中,我们使用了RTOG-0539二期试验中2824例脑膜瘤的回顾性数据,包括1686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。通过倾向评分匹配,我们发现在所有分子组中,肿瘤大体切除与更长的无进展生存期(PFS)相关,而在增殖性脑膜瘤中,肿瘤大体切除与更长的总生存期相关。硬脑膜边缘治疗(辛普森1/2级)比不治疗(辛普森3级)延长了PFS。分子组别分类可预测放疗反应,包括在RTOG-0539队列中。随后,我们开发了一种预测放疗反应的分子模型,该模型比标准护理分类更能区分疗效。这项研究强调了分子图谱在完善手术和放疗决策方面的潜力。
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来源期刊
Nature Medicine
Nature Medicine 医学-生化与分子生物学
CiteScore
100.90
自引率
0.70%
发文量
525
审稿时长
1 months
期刊介绍: Nature Medicine is a monthly journal publishing original peer-reviewed research in all areas of medicine. The publication focuses on originality, timeliness, interdisciplinary interest, and the impact on improving human health. In addition to research articles, Nature Medicine also publishes commissioned content such as News, Reviews, and Perspectives. This content aims to provide context for the latest advances in translational and clinical research, reaching a wide audience of M.D. and Ph.D. readers. All editorial decisions for the journal are made by a team of full-time professional editors. Nature Medicine consider all types of clinical research, including: -Case-reports and small case series -Clinical trials, whether phase 1, 2, 3 or 4 -Observational studies -Meta-analyses -Biomarker studies -Public and global health studies Nature Medicine is also committed to facilitating communication between translational and clinical researchers. As such, we consider “hybrid” studies with preclinical and translational findings reported alongside data from clinical studies.
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