Department of Burn Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Front Immunol. 2021 Jun 29;12:683572. doi: 10.3389/fimmu.2021.683572. eCollection 2021.
Immunotherapy is an effective therapeutic approach for multiple human cancer types. However, the correlations between and patients' prognosis as well as immune infiltration remain obscure. Herein, we employed transcriptomic and clinical data extracted from two independent databases to systematically investigate the role of in the oncological context.
The differential expression of was analyzed TCGA and Oncomine databases. We evaluated the influence of on clinical prognosis using Kaplan-Meier plotter. We then used the expression profiler to calculate stromal score, immune score, and ESTIMATE score based on the ESTIMATE algorithm. The abundance of infiltrating immune cells was calculated TIMER. The correlations between expression and immune infiltration levels were analyzed in two independent cohorts.
In patients with World Health Organization (WHO) grade II/III glioma, high expression was associated with malignant clinicopathological features and poor overall survival in both cohorts. expression was positively associated with immune infiltration levels of B cell, CD4+ T cell, neutrophil, macrophage, and dendritic cells (DCs). Besides, expression strongly correlated with diverse immune marker sets. And the predictive power of was better than that of other indicators in predicting high immune infiltration levels in glioma.
For the first time, we identified the overexpression of in glioma, which was tightly correlated with the high infiltration levels of multiple immune cells as well as poor prognosis. Meanwhile, might be a potential biomarker for predicting high immune infiltration in WHO grade II/III gliomas.
免疫疗法是多种人类癌症类型的有效治疗方法。然而，与患者预后以及免疫浸润的相关性仍然不清楚。在此，我们采用来自两个独立数据库的转录组学和临床数据，系统地研究了在肿瘤学背景下的作用。
通过 TCGA 和 Oncomine 数据库分析的差异表达。我们使用 Kaplan-Meier plotter 评估对临床预后的影响。然后，我们使用表达谱分析器根据 ESTIMATE 算法计算基质评分、免疫评分和 ESTIMATE 评分。通过 TIMER 计算浸润免疫细胞的丰度。分析了两个独立队列中表达与免疫浸润水平之间的相关性。
在世界卫生组织（WHO）分级 II/III 级脑胶质瘤患者中，高表达与两个队列中恶性临床病理特征和总生存期不良相关。表达与 B 细胞、CD4+T 细胞、中性粒细胞、巨噬细胞和树突状细胞（DC）的免疫浸润水平呈正相关。此外，表达与多种免疫标志物集强烈相关。并且在预测脑胶质瘤中高免疫浸润水平方面，的预测能力优于其他指标。
我们首次发现脑胶质瘤中表达上调，与多种免疫细胞的高浸润水平密切相关，且预后不良。同时，可能是预测 WHO 分级 II/III 级脑胶质瘤中高免疫浸润的潜在生物标志物。
