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脑肿瘤的神经病理学诊断。

Neuropathological diagnosis of brain tumours.

机构信息

Unit of Neuropathology, Fondazione IRCCS Istituto Neurologico C. Besta, Via Celoria 11, 20133 Milan, Italy.

出版信息

Neurol Sci. 2011 Nov;32 Suppl 2:S209-11. doi: 10.1007/s10072-011-0802-2.

DOI:10.1007/s10072-011-0802-2
PMID:22009244
Abstract

With recent progress in radiological, pathological, immunohistochemical, molecular and genetic diagnoses, the characterisation of brain tumours has improved. The last World Health Organization (WHO) Classification of Tumours of the Central Nervous System was done in 2007, based on morphological features, growth pattern and molecular profile of neoplastic cells, defined malignancy grade. The neuropathological diagnosis and the grading of each histotype are based on identification of histopathological criteria and immunohistochemical data. Molecular and genetic profiles may identify different tumour subtypes varying in biological and clinical behaviour, indicating prognostic and predictive factors. In order to investigate new therapeutic approaches, it is important to study the molecular pathways responsible for proliferation, invasion, angiogenesis, and anaplastic transformation. Different prognostic and predictive factors for glioma patients were identified by genetic studies, such as the loss of heterozygosis on chromosome 1p and 19q for oligodendrogliomas, proangiogenic factors such as Vascular Endothelial Growth Factor for glioblastomas and the methylation status of gene promoter of MethylGuanine-MethylTransferase. In conclusion, the prognostic evaluation and the therapeutic strategies for patients depend on the synthesis of histological diagnosis, malignancy grade, gene-molecular profile, radiological images, surgical resection and clinical findings (age, tumour location, and "performance status").

摘要

随着放射学、病理学、免疫组织化学、分子和遗传学诊断的最新进展,脑肿瘤的特征得到了改善。上一次世界卫生组织(WHO)中枢神经系统肿瘤分类是在 2007 年完成的,基于肿瘤细胞的形态特征、生长模式和分子特征,定义了恶性程度等级。神经病理学诊断和每种组织类型的分级是基于识别组织病理学标准和免疫组织化学数据。分子和遗传特征可能会识别出不同的肿瘤亚型,这些亚型在生物学和临床行为上存在差异,提示预后和预测因素。为了研究新的治疗方法,研究负责增殖、侵袭、血管生成和间变转化的分子途径非常重要。通过遗传研究确定了胶质母细胞瘤患者的不同预后和预测因素,如少突胶质细胞瘤的 1p 和 19q 染色体杂合性缺失、血管内皮生长因子等促血管生成因子、甲基鸟嘌呤甲基转移酶基因启动子的甲基化状态。总之,患者的预后评估和治疗策略取决于组织学诊断、恶性程度分级、基因分子特征、影像学图像、手术切除和临床发现(年龄、肿瘤位置和“表现状态”)的综合分析。

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1
Neuropathological diagnosis of brain tumours.脑肿瘤的神经病理学诊断。
Neurol Sci. 2011 Nov;32 Suppl 2:S209-11. doi: 10.1007/s10072-011-0802-2.
2
Pathological classification of brain tumors.脑肿瘤的病理分类
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3
The 2016 revision of the WHO Classification of Central Nervous System Tumours: retrospective application to a cohort of diffuse gliomas.2016 年版世界卫生组织中枢神经系统肿瘤分类:对弥漫性神经胶质瘤队列的回顾性应用。
J Neurooncol. 2018 Mar;137(1):181-189. doi: 10.1007/s11060-017-2710-7. Epub 2017 Dec 7.
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Dan Med J. 2014 Oct;61(10):B4944.
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Molecular Classification of Diffuse Gliomas.弥漫性神经胶质瘤的分子分类。
Can J Neurol Sci. 2020 Jul;47(4):464-473. doi: 10.1017/cjn.2020.10. Epub 2020 Jan 10.
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[Histological and molecular classification of gliomas].[胶质瘤的组织学和分子分类]
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Clinical insights gained by refining the 2016 WHO classification of diffuse gliomas with: EGFR amplification, TERT mutations, PTEN deletion and MGMT methylation.通过对 2016 年 WHO 弥漫性胶质瘤分类进行以下四项指标的细化:EGFR 扩增、TERT 突变、PTEN 缺失和 MGMT 甲基化,获得的临床见解。
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[Clinico-pathological and molecular aspects of diagnostic and prognostic value in gliomas].[胶质瘤诊断和预后价值的临床病理及分子学方面]
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Molecular classification defines 4 prognostically distinct glioma groups irrespective of diagnosis and grade.分子分类定义了4个预后明显不同的胶质瘤组,而不考虑诊断和分级。
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2
Amplification of the EGFR gene can be maintained and modulated by variation of EGF concentrations in in vitro models of glioblastoma multiforme.在多形性胶质母细胞瘤的体外模型中,表皮生长因子(EGF)浓度的变化可维持和调节表皮生长因子受体(EGFR)基因的扩增。
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本文引用的文献

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Grading of gliomas: the road from eminence to evidence.胶质瘤分级:从卓越到证据。
J Neuropathol Exp Neurol. 2011 Feb;70(2):101-9. doi: 10.1097/NEN.0b013e31820681aa.
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The use of global profiling in biomarker development for gliomas.在神经胶质瘤的生物标志物开发中使用全局分析。
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Molecular diagnostics of gliomas: state of the art.脑胶质瘤的分子诊断:现状。
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使用单指数、双指数和拉伸指数扩散加权磁共振成像及扩散峰度磁共振成像对胶质瘤进行分级
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Glioblastoma multiforme - an overview.多形性胶质母细胞瘤——概述
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The role of IFITM3 in the growth and migration of human glioma cells.IFITM3 在人神经胶质瘤细胞生长和迁移中的作用。
BMC Neurol. 2013 Dec 27;13:210. doi: 10.1186/1471-2377-13-210.
Acta Neuropathol. 2010 Nov;120(5):567-84. doi: 10.1007/s00401-010-0736-4. Epub 2010 Aug 17.
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Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1.整合基因组分析确定了具有 PDGFRA、IDH1、EGFR 和 NF1 异常的胶质母细胞瘤的临床相关亚型。
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The 2007 WHO classification of tumours of the central nervous system.2007年世界卫生组织中枢神经系统肿瘤分类
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