Suppr超能文献

整合多组学揭示了两种具有明显生物学差异的毛细胞型星形细胞瘤。

Integrative multi-omics reveals two biologically distinct groups of pilocytic astrocytoma.

机构信息

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.

出版信息

Acta Neuropathol. 2023 Oct;146(4):551-564. doi: 10.1007/s00401-023-02626-5. Epub 2023 Sep 1.

Abstract

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f24/10500011/341c40fa5a7f/401_2023_2626_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验