Department of Neuropathology, Otto-von-Guericke-University, Magdeburg, Germany.
Department of Neurosurgery, Otto-von-Guericke-University, Magdeburg, Germany.
Brain Pathol. 2022 Mar;32(2):e13046. doi: 10.1111/bpa.13046.
Meningiomas are the most frequent primary intracranial tumors. The considerable variety of histological subtypes has been expanded by the definition of molecular alterations, which can improve both diagnostic accuracy and determination of individual patient's outcome. According to the upcoming WHO classification of brain tumors, the in-time analysis of frequent molecular events in meningiomas may become mandatory to define meningioma subtypes. We have compiled a custom-made amplicon-based next generation sequencing (NGS) meningioma panel covering the most frequent known recurrent mutations in 15 different genes. In an unselected consecutive meningioma cohort (109 patients) analyzed over a period of 12 months, we detected mutations in 11 different genes, with most frequent alterations in NF2 (43%), AKT1 (15%), and TRAF7 (13%). In 39 tumors (36%), two different mutations were detected, with NF2 and SUFU (n = 5) and KLF4 and TRAF7 (n = 5) being the most frequent combinations. No alterations were found in POLR2A, CDKN2A, CDKN2B, and BAP1, and no homozygous CDKN2A/B deletion was detected. NF2 mutations were found in tumors of all WHO grades, whereas mutations in KLF4, TRAF7, and SMO were restricted to WHO grade I meningiomas. In contrast, SMARCE1 and TERT mutations were associated with WHO grade II meningiomas (according to the WHO classification 2016). The distribution of mutations across histological subtypes or tumor localization was in line with the existing literature, with typical combinations like KLF4K /TRAF7 for secretory meningiomas and preferential skull base localization of meningiomas harboring SMO and AKT1 mutations. Thus, we present a custom-made NGS meningioma panel providing a time and cost-efficient reliable detection of relevant somatic molecular alterations in meningiomas suitable for daily routine.
脑膜瘤是最常见的原发性颅内肿瘤。通过定义分子改变,组织学亚型的种类繁多,这不仅可以提高诊断的准确性,还可以确定个体患者的预后。根据即将发布的脑肿瘤世界卫生组织分类,及时分析脑膜瘤中常见的分子事件可能成为定义脑膜瘤亚型的必要条件。我们编译了一个定制的基于扩增子的下一代测序(NGS)脑膜瘤面板,涵盖了 15 个不同基因中最常见的已知复发突变。在一个未经选择的连续脑膜瘤队列(109 例患者)中,我们在 12 个月的时间内分析了 11 个不同的基因的突变,其中 NF2(43%)、AKT1(15%)和 TRAF7(13%)的改变最为频繁。在 39 个肿瘤(36%)中,检测到两种不同的突变,NF2 和 SUFU(n=5)和 KLF4 和 TRAF7(n=5)是最常见的组合。在 POLR2A、CDKN2A、CDKN2B 和 BAP1 中未发现改变,也未检测到纯合性 CDKN2A/B 缺失。NF2 突变见于所有 WHO 分级的肿瘤,而 KLF4、TRAF7 和 SMO 突变仅见于 WHO 分级 I 脑膜瘤。相反,SMARCE1 和 TERT 突变与 WHO 分级 II 脑膜瘤相关(根据 2016 年 WHO 分类)。突变在组织学亚型或肿瘤定位中的分布与现有文献一致,典型的组合如分泌型脑膜瘤中的 KLF4K/TRAF7,以及 SMO 和 AKT1 突变的脑膜瘤优先发生在颅底。因此,我们提出了一个定制的 NGS 脑膜瘤面板,提供了一种时间和成本效益高的可靠检测脑膜瘤中相关体细胞分子改变的方法,适用于日常工作。