Suppr超能文献

室管膜瘤。

Ependymal Tumors.

机构信息

Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.

Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.

出版信息

Pediatr Dev Pathol. 2022 Jan-Feb;25(1):59-67. doi: 10.1177/10935266211018928.

Abstract

Ependymomas (EPN) are commonly encountered brain tumors in the pediatric population. They may arise in the supratentorial compartment, posterior fossa and spinal cord. Histopathologic grading of EPN has always been challenging with poor interobserver reproducibility and lack of correlation between histologic grade and patient outcomes. Recent studies have highlighted that, despite histopathological similarities among variants of EPN at different anatomical sites, they possess site-specific genetic and epigenetic alterations, transcriptional profiles and DNA copy number variations. This has led to a molecular and location-based classification for EPN which has been adopted by the World Health Organization Classification of Central Nervous System Tumors and more accurately risk-stratifies patients than histopathologic grading alone. Given the complexity of this evolving field, the purpose of this paper is to offer a practical approach to the diagnosis of EPN, including the selection of the most appropriate molecular surrogate immunohistochemical stains, basic molecular studies and more sophisticated techniques if needed. The goal is to reach a rapid, sound diagnosis, providing essential information regarding prognosis and guiding clinical decision-making.

摘要

室管膜瘤(EPN)是儿童中常见的脑肿瘤。它们可发生于幕上腔、后颅窝和脊髓。EPN 的组织病理学分级一直具有挑战性,观察者间的可重复性差,组织学分级与患者预后之间缺乏相关性。最近的研究强调,尽管不同解剖部位的 EPN 变体在组织病理学上具有相似性,但它们具有特定于部位的遗传和表观遗传改变、转录谱和 DNA 拷贝数变异。这导致了基于分子和位置的 EPN 分类,该分类已被世界卫生组织中枢神经系统肿瘤分类采用,并且比单独的组织病理学分级更准确地对患者进行风险分层。鉴于这一不断发展的领域的复杂性,本文旨在提供一种实用的 EPN 诊断方法,包括选择最合适的分子替代免疫组织化学染色、基本分子研究以及如果需要更复杂的技术。目的是快速、准确地做出诊断,提供有关预后的重要信息,并指导临床决策。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验