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脑肿瘤的分子检测

Molecular Testing of Brain Tumor.

作者信息

Park Sung-Hye, Won Jaekyung, Kim Seong-Ik, Lee Yujin, Park Chul-Kee, Kim Seung-Ki, Choi Seung-Hong

机构信息

Department of Pathology, Seoul National University, College of Medicine, Seoul, Korea.

Neurosicence Institute, Seoul National University, College of Medicine, Seoul, Korea.

出版信息

J Pathol Transl Med. 2017 May;51(3):205-223. doi: 10.4132/jptm.2017.03.08. Epub 2017 May 12.

Abstract

The World Health Organization (WHO) classification of central nervous system (CNS) tumors was revised in 2016 with a basis on the integrated diagnosis of molecular genetics. We herein provide the guidelines for using molecular genetic tests in routine pathological practice for an accurate diagnosis and appropriate management. While astrocytomas and IDH-mutant (secondary) glioblastomas are characterized by the mutational status of , , and , oligodendrogliomas have a 1p/19q codeletion and mutations in , , , and the promoter region of telomerase reverse transcriptase ( ). IDH-wildtype (primary) glioblastomas typically lack mutations in , but are characterized by copy number variations of , , , , and as well as mutations of . High-grade pediatric gliomas differ from those of adult gliomas, consisting of mutations in , and , but not in genes. In contrast, well-circumscribed low-grade neuroepithelial tumors in children, such as pilocytic astrocytoma, pleomorphic xanthoastrocytoma, and ganglioglioma, often have mutations or activating rearrangements in the , and genes. Other CNS tumors, such as ependymomas, neuronal and glioneuronal tumors, embryonal tumors, meningothelial, and other mesenchymal tumors have important genetic alterations, many of which are diagnostic, prognostic, and predictive markers and therapeutic targets. Therefore, the neuropathological evaluation of brain tumors is increasingly dependent on molecular genetic tests for proper classification, prediction of biological behavior and patient management. Identifying these gene abnormalities requires cost-effective and high-throughput testing, such as next-generation sequencing. Overall, this paper reviews the global guidelines and diagnostic algorithms for molecular genetic testing of brain tumors.

摘要

世界卫生组织(WHO)中枢神经系统(CNS)肿瘤分类于2016年基于分子遗传学综合诊断进行了修订。我们在此提供在常规病理实践中使用分子遗传学检测以进行准确诊断和恰当管理的指南。虽然星形细胞瘤和异柠檬酸脱氢酶(IDH)突变型(继发性)胶质母细胞瘤的特征在于 、 和 的突变状态,但少突胶质细胞瘤具有1p/19q共缺失以及 、 、 和端粒酶逆转录酶( )启动子区域的突变。IDH野生型(原发性)胶质母细胞瘤通常缺乏 突变,但特征在于 、 、 、 和 的拷贝数变异以及 的突变。高级别儿童胶质瘤与成人胶质瘤不同,其由 、 和 的突变组成,但 基因无突变。相比之下,儿童中边界清楚的低级别神经上皮肿瘤,如毛细胞型星形细胞瘤、多形性黄色星形细胞瘤和节细胞胶质瘤,常在 、 和 基因中发生突变或激活重排。其他中枢神经系统肿瘤,如室管膜瘤、神经元和神经胶质神经元肿瘤、胚胎性肿瘤、脑膜上皮和其他间叶性肿瘤具有重要的基因改变,其中许多是诊断、预后和预测标志物以及治疗靶点。因此,脑肿瘤的神经病理学评估越来越依赖分子遗传学检测来进行恰当分类、预测生物学行为和患者管理。识别这些基因异常需要具有成本效益且高通量的检测,如下一代测序。总体而言,本文综述了脑肿瘤分子遗传学检测的全球指南和诊断算法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2251/5445205/8587ffe8524c/jptm-2017-03-08f1.jpg

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