Department of Neurosurgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China.
Front Immunol. 2020 Oct 20;11:585034. doi: 10.3389/fimmu.2020.585034. eCollection 2020.
Glioblastoma (GBM) is one of the most prevalent malignant brain tumors with poor prognosis. Increasing evidence has revealed that infiltrating immune cells and other stromal components in the tumor microenvironment (TME) are associated with prognosis of GBM. The aim of the present study was to identify immune cells and immune-related genes extracted from TME in GBM. RNA-sequencing and clinical data of GBM were downloaded from The Cancer Genome Atlas (TCGA). Four survival-related immune cells were identified Kaplan-Meier survival analysis and immune-related differentially expressed genes (DEGs) screened. Functional enrichment and protein-protein interaction (PPI) networks for the genes were constructed. In addition, we identified 24 hub genes and the expressions of 6 of the genes were significantly associated with prognosis of GBM. Finally, the genes were validated in single-cell sequencing studies of GBM, and the immune cells validated in an independent GBM cohort from the Chinese Glioma Genome Atlas (CGGA). Overall, 24 immune-related genes infiltrating the tumor microenvironment were identified in the present study, which could serve as novel biomarkers and immune therapeutic targets.
胶质母细胞瘤(GBM)是最常见的恶性脑肿瘤之一,预后不良。越来越多的证据表明,肿瘤微环境(TME)中的浸润免疫细胞和其他基质成分与 GBM 的预后相关。本研究旨在鉴定 GBM 中 TME 中提取的免疫细胞和免疫相关基因。从癌症基因组图谱(TCGA)下载 GBM 的 RNA 测序和临床数据。通过 Kaplan-Meier 生存分析鉴定了 4 种与生存相关的免疫细胞,并筛选了免疫相关差异表达基因(DEGs)。构建了基因的功能富集和蛋白质-蛋白质相互作用(PPI)网络。此外,我们鉴定了 24 个枢纽基因,其中 6 个基因的表达与 GBM 的预后显著相关。最后,在 GBM 的单细胞测序研究中验证了这些基因,并在来自中国脑胶质瘤基因组图谱(CGGA)的独立 GBM 队列中验证了免疫细胞。总之,本研究鉴定了 24 种浸润肿瘤微环境的免疫相关基因,它们可以作为新的生物标志物和免疫治疗靶点。