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对儿科中枢神经系统原始神经外胚层肿瘤的分子分析显示,FOXR2 激活型中枢神经系统神经母细胞瘤存在病种异质性和有效的诊断标志物。

Molecular analysis of pediatric CNS-PNET revealed nosologic heterogeneity and potent diagnostic markers for CNS neuroblastoma with FOXR2-activation.

机构信息

Clinical Cooperation Unit Neuropathology (G380), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.

German Cancer Consortium (DKTK), Heidelberg, Germany.

出版信息

Acta Neuropathol Commun. 2021 Feb 3;9(1):20. doi: 10.1186/s40478-021-01118-5.

DOI:10.1186/s40478-021-01118-5
PMID:33536079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7860633/
Abstract

Primitive neuroectodermal tumors of the central nervous system (CNS-PNETs) are highly malignant neoplasms posing diagnostic challenge due to a lack of defining molecular markers. CNS neuroblastoma with forkhead box R2 (FOXR2) activation (CNS_NBL) emerged as a distinct pediatric brain tumor entity from a pool previously diagnosed as primitive neuroectodermal tumors of the central nervous system (CNS-PNETs). Current standard of identifying CNS_NBL relies on molecular analysis. We set out to establish immunohistochemical markers allowing safely distinguishing CNS_NBL from morphological mimics. To this aim we analyzed a series of 84 brain tumors institutionally diagnosed as CNS-PNET. As expected, epigenetic analysis revealed different methylation groups corresponding to the (1) CNS-NBL (24%), (2) glioblastoma IDH wild-type subclass H3.3 G34 (26%), (3) glioblastoma IDH wild-type subclass MYCN (21%) and (4) ependymoma with RELA_C11orf95 fusion (29%) entities. Transcriptome analysis of this series revealed a set of differentially expressed genes distinguishing CNS_NBL from its mimics. Based on RNA-sequencing data we established SOX10 and ANKRD55 expression as genes discriminating CNS_NBL from other tumors exhibiting CNS-PNET. Immunohistochemical detection of combined expression of SOX10 and ANKRD55 clearly identifies CNS_NBL discriminating them to other hemispheric CNS neoplasms harboring "PNET-like" microscopic appearance. Owing the rarity of CNS_NBL, a confirmation of the elaborated diagnostic IHC algorithm will be necessary in prospective patient series.

摘要

中枢神经原始神经外胚层肿瘤(CNS-PNETs)是高度恶性肿瘤,由于缺乏明确的分子标志物,因此诊断具有挑战性。具有叉头框 R2(FOXR2)激活的中枢神经神经母细胞瘤(CNS_NBL)从先前被诊断为中枢神经原始神经外胚层肿瘤(CNS-PNETs)的肿瘤池中作为一种独特的小儿脑肿瘤实体出现。目前识别 CNS_NBL 的标准依赖于分子分析。我们着手建立免疫组织化学标志物,以便安全地区分 CNS_NBL 与形态模拟物。为此,我们分析了机构诊断为 CNS-PNET 的 84 例脑肿瘤系列。正如预期的那样,表观遗传学分析显示了不同的甲基化组,对应于(1)CNS-NBL(24%)、(2)胶质母细胞瘤 IDH 野生型亚类 H3.3 G34(26%)、(3)胶质母细胞瘤 IDH 野生型亚类 MYCN(21%)和(4)具有 RELA_C11orf95 融合的室管膜瘤(29%)实体。对该系列的转录组分析揭示了一组区分 CNS_NBL 与其模拟物的差异表达基因。基于 RNA 测序数据,我们建立了 SOX10 和 ANKRD55 的表达作为区分 CNS_NBL 与其表现出 CNS-PNET 的其他肿瘤的基因。联合表达 SOX10 和 ANKRD55 的免疫组织化学检测清楚地识别出 CNS_NBL,将其与其他具有“PNET 样”微观外观的半球性中枢神经系统肿瘤区分开来。由于 CNS_NBL 的罕见性,需要在前瞻性患者系列中对精心设计的诊断 IHC 算法进行验证。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354b/7860633/789ef88dde57/40478_2021_1118_Fig1_HTML.jpg
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