Clinical Cooperation Unit Neuropathology (G380), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
German Cancer Consortium (DKTK), Heidelberg, Germany.
Acta Neuropathol Commun. 2021 Feb 3;9(1):20. doi: 10.1186/s40478-021-01118-5.
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.
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。