Identification of Immune Cell Infiltration and Immune-Related Genes in the Tumor Microenvironment of Glioblastomas.
Identification of Immune Cell Infiltration and Immune-Related Genes in the Tumor Microenvironment of Glioblastomas.
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DOI：
10.3389/fimmu.2020.585034
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发表时间：
2020
影响因子：
7.3
通讯作者：
Pan J
中科院分区：
文献类型：
--
作者：
Huang S;Song Z;Zhang T;He X;Huang K;Zhang Q;Shen J;Pan J
胶质母细胞瘤（GBM）是脑内最常见的恶性肿瘤之一，预后差。越来越多的证据表明，浸润的免疫细胞和其他基质成分的肿瘤微环境（TME）与GBM的预后。本研究的目的是鉴定从GBM中的TME中提取的免疫细胞和免疫相关基因。GBM的RNA测序和临床数据从The Cancer Genome Atlas（TCGA）下载。通过Kaplan-Meier生存分析鉴定了4种生存相关的免疫细胞，并筛选了免疫相关的差异表达基因（DEG）。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，我们还鉴定了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基因，并且在来自中国胶质瘤基因组图谱（CGGA）的独立GBM队列中验证了免疫细胞。总之，本研究中鉴定了24个浸润肿瘤微环境的免疫相关基因，这些基因可作为新的生物标志物和免疫治疗靶点。
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 via 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.
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影响因子：
3.4
作者：
Beretta, Francesca;Bassani, Silvia;Passafaro, Maria
通讯作者：
Passafaro, Maria
DOI：
10.18632/aging.101415
发表时间：
2018-04-16
期刊：
Aging
影响因子：
--
作者：
Jia D;Li S;Li D;Xue H;Yang D;Liu Y
通讯作者：
Liu Y
影响因子：
56.9
作者：
Lino, M;Goto, K;Ozawa, S
通讯作者：
Ozawa, S
影响因子：
7.7
作者：
Chen, Zhefan Stephen;Li, Li;Chan, Ho Yin Edwin
通讯作者：
Chan, Ho Yin Edwin
DOI：
10.4049/jimmunol.1001965
发表时间：
2011-08-01
期刊：
Journal of immunology (Baltimore, Md. : 1950)
影响因子：
--
作者：
Curran CS;Evans MD;Bertics PJ
通讯作者：
Bertics PJ