The Prognostic Landscape of Tumor-Infiltrating Immune Cells and Immune Checkpoints in Glioblastoma

The Prognostic Landscape of Tumor-Infiltrating Immune Cells and Immune Checkpoints in Glioblastoma
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胶质母细胞瘤肿瘤浸润免疫细胞和免疫检查点的预后景观

DOI:
10.1177/1533033819869949
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发表时间:
2019-08-26
影响因子:
2.8
通讯作者:
Yao, Zhenwei
Yao, Zhenwei
中科院分区:
医学4区
文献类型:
--
作者:
Wu, Shiman;Yang, Wenli;Yao, Zhenwei

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肿瘤浸润性免疫细胞是复杂微环境的一部分,与多种肿瘤类型的临床结果改善有关。然而,肿瘤浸润性免疫细胞和免疫检查点调节器在胶质母细胞瘤中的预后情况的详细地图仍然缺乏。在这里,有了网络可访问的资源,癌症免疫档案,28种类型的适应性和先天肿瘤浸润性免疫细胞在胶质母细胞瘤中被表征。免疫组织化学分析证实,在胶质母细胞瘤中,缺乏中枢记忆的CD4T细胞或自然杀伤细胞的肿瘤预后较好。此外,Kaplan-Meier对71个关键免疫检查点分子的分析显示,可诱导T细胞共刺激分子、肿瘤坏死因子超家族成员14和UL16结合蛋白1的表达水平与胶质母细胞瘤患者的临床预后呈负相关。此外,基于其相应基因的表达水平,几种免疫检查点调节因子在非肿瘤和胶质母细胞瘤样本中的表达水平也存在显著差异。总之,胶质母细胞瘤中肿瘤浸润性免疫细胞和免疫检查点调节器的注释为确定它们参与肿瘤逃逸机制和治疗反应提供了宝贵的资源。
Tumor-infiltrating immune cells are part of a complex microenvironment and associated with improved clinical outcomes in a broad range of tumor types. However, a detailed map for the prognostic landscape of tumor-infiltrating immune cells and immune checkpoint modulators in glioblastoma is still lacking. Here, with the web-accessible resource, The Cancer Immunome Archive, 28 types of both adaptive and innate tumor-infiltrating immune cells were characterized in glioblastoma. Tumors lacking central memory CD4 T cells or natural killer cells were associated with better prognosis in glioblastoma, as verified by immunohistochemical analysis. Moreover, Kaplan-Meier analysis for a total of 71 key immune checkpoint molecules revealed that the expression level of inducible T cell costimulators, tumor necrosis factor superfamily member 14, and UL16 binding protein 1 were negatively correlated with the clinical outcome of patients with glioblastoma. In addition, there was a significant difference between nontumor and glioblastoma samples of several immune checkpoint modulators based on the expression level of their corresponding gene. Collectively, the annotation of tumor-infiltrating immune cells and immune checkpoint modulators in glioblastoma provides a valuable resource for identifying their involvement in tumor escape mechanisms and response to therapy.