Department of Genetics, Ribeirão Preto Medical School, 3900 Bandeirantes Avenue, Ribeirão Preto, SP, 14049-900, Brazil.
Department of Paediatrics, Ribeirão Preto Medical School, 3900 Bandeirantes Avenue, Ribeirão Preto, SP, 14049-900, Brazil.
J Mol Med (Berl). 2021 Aug;99(8):1101-1113. doi: 10.1007/s00109-021-02074-2. Epub 2021 Apr 26.
Although ependymoma (EPN) molecular subgroups have been well established by integrated high-throughput platforms, low- and middle-income countries still need low-cost techniques to promptly classify these molecular subtypes. Here, we applied low-cost methods to classify EPNs from a Brazilian cohort with 60 pediatric EPN patients. Fusion transcripts (C11orf95-RELA, YAP1-MAMLD1, and YAP1-FAM118B) were investigated in supratentorial EPN (ST-EPNs) samples through RT-PCR/Sanger sequencing and immunohistochemistry (IHC) for p65/L1CAM. qRT-PCR and IHC were used to evaluate expression profiling of CXorf67, LAMA2, NELL2, and H3K27me3 in posterior fossa EPN (PF-EPNs) samples. In silico analysis was performed using public microarray data to validate the molecular assignment PF-EPNs with LAMA2/NELL2 markers. RELA cases and YAP1-MAMLD1 fusions were identified in nine and four ST-EPNs, respectively. An additional RELA case was identified by IHC. Of note, LAMA2 and NELL2 gene expression and immunoprofiling were less accurate for classifying PF-EPNs, which were confirmed by in silico analysis. Yet, H3K27me3 staining was sufficient to classify PF-EPN subgroups. Our results emphasize the feasibility of a simplified strategy to molecularly classify EPNs in the vast majority of cases (49/60; 81.7%). A coordinated combination of simple methods can be effective to screen pediatric EPN with the available laboratory resources at most low-/mid-income countries, giving support for clinical practice in pediatric EPN. KEY MESSAGES: Low- and middle-income countries need effective low-cost approaches to promptly distinguish between EPN molecular subgroups. RT-PCR plus Sanger sequencing is able to recognize the most common types of RELA and YAP1 fusion transcripts in ST-EPNs. Genetic and protein expressions of LAMA2 and NELL2 are of limited value to accurately stratify PF-EPNs. Immunohistochemical staining for H3K27me3 may be used as a robust method to accurately diagnose PF-EPNs subgroups. A coordinated flow diagram based on these validated low-cost methods is proposed to help clinical-decision making and to reduce costs with NGS assessment outside research protocols.
虽然通过高通量整合平台已经很好地确定了室管膜瘤(EPN)的分子亚群,但中低收入国家仍需要低成本技术来迅速对这些分子亚型进行分类。在这里,我们应用低成本方法对巴西队列中的 60 名小儿 EPN 患者进行 EPN 分类。通过 RT-PCR/Sanger 测序和免疫组化(IHC)检测 p65/L1CAM 研究幕上室管膜瘤(ST-EPN)样本中的融合转录本(C11orf95-RELA、YAP1-MAMLD1 和 YAP1-FAM118B)。qRT-PCR 和 IHC 用于评估后颅窝室管膜瘤(PF-EPN)样本中 CXorf67、LAMA2、NELL2 和 H3K27me3 的表达谱。使用公共微阵列数据进行的计算机分析用于验证具有 LAMA2/NELL2 标志物的 PF-EPN 的分子分配。在九个 ST-EPN 中分别鉴定到 RELA 病例和 YAP1-MAMLD1 融合,通过 IHC 鉴定到另外一个 RELA 病例。值得注意的是,LAMA2 和 NELL2 基因表达和免疫组化分析对于 PF-EPN 的分类准确性较低,这通过计算机分析得到了证实。然而,H3K27me3 染色足以对 PF-EPN 亚组进行分类。我们的结果强调了在绝大多数情况下(60 例中的 49 例;81.7%)对 EPN 进行分子分类的简化策略的可行性。协调简单方法的组合可以有效地筛选大多数中低收入国家可用的实验室资源的小儿 EPN,为小儿 EPN 的临床实践提供支持。关键信息:中低收入国家需要有效的低成本方法来迅速区分 EPN 分子亚群。RT-PCR 加 Sanger 测序能够识别 ST-EPN 中最常见的 RELA 和 YAP1 融合转录本类型。LAMA2 和 NELL2 的遗传和蛋白表达对于准确分层 PF-EPN 的价值有限。H3K27me3 的免疫组化染色可用作准确诊断 PF-EPN 亚组的可靠方法。根据这些经过验证的低成本方法提出协调流程图,以帮助临床决策并降低在研究方案之外进行 NGS 评估的成本。