Department of Pediatric Oncology, Hematology, and Clinical Immunology, Medical Faculty, and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany.
German Cancer Consortium (DKTK), Partner site Essen/Düsseldorf, Düsseldorf, Germany.
Acta Neuropathol. 2023 Oct;146(4):551-564. doi: 10.1007/s00401-023-02626-5. Epub 2023 Sep 1.
Pilocytic astrocytoma (PA), the most common pediatric brain tumor, is driven by aberrant mitogen-activated protein kinase signaling most commonly caused by BRAF gene fusions or activating mutations. While 5-year overall survival rates exceed 95%, tumor recurrence or progression constitutes a major clinical challenge in incompletely resected tumors. Here, we used similarity network fusion (SNF) analysis in an integrative multi-omics approach employing RNA transcriptomic and mass spectrometry-based proteomic profiling to molecularly characterize PA tissue samples from 62 patients. Thereby, we uncovered that PAs segregated into two molecularly distinct groups, namely, Group 1 and Group 2, which were validated in three non-overlapping cohorts. Patients with Group 1 tumors were significantly younger and showed worse progression-free survival compared to patients with group 2 tumors. Ingenuity pathways analysis (IPA) and gene set enrichment analysis (GSEA) revealed that Group 1 tumors were enriched for immune response pathways, such as interferon signaling, while Group 2 tumors showed enrichment for action potential and neurotransmitter signaling pathways. Analysis of immune cell-related gene signatures showed an enrichment of infiltrating T Cells in Group 1 versus Group 2 tumors. Taken together, integrative multi-omics of PA identified biologically distinct and prognostically relevant tumor groups that may improve risk stratification of this single pathway driven tumor type.
毛细胞星形细胞瘤(PA)是最常见的儿童脑肿瘤,其驱动因素是丝裂原活化蛋白激酶信号通路的异常,最常见的原因是 BRAF 基因融合或激活突变。虽然 5 年总生存率超过 95%,但在不完全切除的肿瘤中,肿瘤复发或进展仍是一个主要的临床挑战。在这里,我们使用相似网络融合(SNF)分析,在整合多组学方法中,采用 RNA 转录组学和基于质谱的蛋白质组学分析,对 62 名患者的 PA 组织样本进行分子特征分析。因此,我们发现 PA 可以分为两个在分子上明显不同的组,即第 1 组和第 2 组,在三个非重叠队列中得到了验证。与第 2 组肿瘤患者相比,第 1 组肿瘤患者明显更年轻,且无进展生存期更差。IPA 和 GSEA 分析显示,第 1 组肿瘤富含干扰素信号等免疫反应通路,而第 2 组肿瘤则富含动作电位和神经递质信号通路。分析与免疫细胞相关的基因特征显示,第 1 组肿瘤中浸润性 T 细胞增多。总之,PA 的综合多组学分析确定了具有生物学差异和预后相关性的肿瘤亚群,这可能有助于改善这种单一通路驱动肿瘤类型的风险分层。