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An integrated genomic analysis of anaplastic meningioma identifies prognostic molecular signatures.弥漫性间变性脑膜瘤的综合基因组分析确定了预后分子特征。
Sci Rep. 2018 Sep 10;8(1):13537. doi: 10.1038/s41598-018-31659-0.
2
A gene expression signature predicts recurrence-free survival in meningioma.一种基因表达特征可预测脑膜瘤的无复发生存率。
Oncotarget. 2018 Feb 15;9(22):16087-16098. doi: 10.18632/oncotarget.24498. eCollection 2018 Mar 23.
3
Loss of histone H3K27me3 identifies a subset of meningiomas with increased risk of recurrence.组蛋白 H3K27me3 的缺失鉴定出一组具有更高复发风险的脑膜瘤。
Acta Neuropathol. 2018 Jun;135(6):955-963. doi: 10.1007/s00401-018-1844-9. Epub 2018 Apr 7.
4
DNA methylation-based classification of central nervous system tumours.基于 DNA 甲基化的中枢神经系统肿瘤分类。
Nature. 2018 Mar 22;555(7697):469-474. doi: 10.1038/nature26000. Epub 2018 Mar 14.
5
Pediatric versus adult meningioma: comparison of epidemiology, treatments, and outcomes using the Surveillance, Epidemiology, and End Results database.儿童与成人脑膜瘤:利用监测、流行病学和最终结果数据库比较流行病学、治疗方法和结局。
J Neurooncol. 2018 May;137(3):621-629. doi: 10.1007/s11060-018-2756-1. Epub 2018 Mar 9.
6
Erratum: Genomic landscape of high-grade meningiomas.勘误:高级别脑膜瘤的基因组图谱。
NPJ Genom Med. 2017 Sep 4;2:26. doi: 10.1038/s41525-017-0023-6. eCollection 2017.
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Antitumor activity of gemcitabine against high-grade meningioma and .吉西他滨对高级别脑膜瘤的抗肿瘤活性及…… (原文此处不完整)
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8
LB-100, a novel Protein Phosphatase 2A (PP2A) inhibitor, sensitizes malignant meningioma cells to the therapeutic effects of radiation.LB-100,一种新型蛋白磷酸酶 2A(PP2A)抑制剂,可增强恶性脑膜瘤细胞对放疗的治疗效果。
Cancer Lett. 2018 Feb 28;415:217-226. doi: 10.1016/j.canlet.2017.11.035. Epub 2017 Dec 2.
9
CBTRUS Statistical Report: Primary brain and other central nervous system tumors diagnosed in the United States in 2010-2014.CBTRUS统计报告:2010 - 2014年在美国诊断出的原发性脑和其他中枢神经系统肿瘤
Neuro Oncol. 2017 Nov 6;19(suppl_5):v1-v88. doi: 10.1093/neuonc/nox158.
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Clinicopathological and molecular characteristics of pediatric meningiomas.儿童脑膜瘤的临床病理及分子特征
Neuropathology. 2018 Feb;38(1):22-33. doi: 10.1111/neup.12426. Epub 2017 Sep 13.

脑膜瘤的分子和转化进展。

Molecular and translational advances in meningiomas.

机构信息

Division of Neurosurgery, University Health Network, University of Toronto, Ontario, Canada.

MacFeeters-Hamilton Center for Neuro-Oncology, Princess Margaret Cancer Center, Toronto, Ontario, Canada.

出版信息

Neuro Oncol. 2019 Jan 14;21(Suppl 1):i4-i17. doi: 10.1093/neuonc/noy178.

DOI:10.1093/neuonc/noy178
PMID:30649490
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6347079/
Abstract

Meningiomas are the most common primary intracranial neoplasm. The current World Health Organization (WHO) classification categorizes meningiomas based on histopathological features, but emerging molecular data demonstrate the importance of genomic and epigenomic factors in the clinical behavior of these tumors. Treatment options for symptomatic meningiomas are limited to surgical resection where possible and adjuvant radiation therapy for tumors with concerning histopathological features or recurrent disease. At present, alternative adjuvant treatment options are not available in part due to limited historical biological analysis and clinical trial investigation on meningiomas. With advances in molecular and genomic techniques in the last decade, we have witnessed a surge of interest in understanding the genomic and epigenomic landscape of meningiomas. The field is now at the stage to adopt this molecular knowledge to refine meningioma classification and introduce molecular algorithms that can guide prediction and therapeutics for this tumor type. Animal models that recapitulate meningiomas faithfully are in critical need to test new therapeutics to facilitate rapid-cycle translation to clinical trials. Here we review the most up-to-date knowledge of molecular alterations that provide insight into meningioma behavior and are ready for application to clinical trial investigation, and highlight the landscape of available preclinical models in meningiomas.

摘要

脑膜瘤是最常见的原发性颅内肿瘤。目前的世界卫生组织(WHO)分类基于组织病理学特征对脑膜瘤进行分类,但新兴的分子数据表明基因组和表观基因组因素在这些肿瘤的临床行为中具有重要意义。有症状脑膜瘤的治疗选择仅限于可能进行的手术切除,如果肿瘤具有令人担忧的组织病理学特征或复发性疾病,则辅助放射治疗。目前,由于对脑膜瘤的历史生物学分析和临床试验研究有限,因此没有其他辅助治疗选择。在过去十年中,随着分子和基因组技术的进步,我们见证了人们对理解脑膜瘤基因组和表观基因组景观的浓厚兴趣。该领域现在正处于采用这种分子知识来完善脑膜瘤分类并引入分子算法的阶段,这些算法可以指导这种肿瘤类型的预测和治疗。需要能够忠实地重现脑膜瘤的动物模型来测试新的治疗方法,以促进快速向临床试验转化。在这里,我们回顾了分子改变的最新知识,这些知识深入了解了脑膜瘤的行为,并准备应用于临床试验研究,强调了脑膜瘤中现有临床前模型的概况。