Zhao Zijun, Wang Zairan, Wu Yue, Liao Dongmei, Zhao Binjie
Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China.
Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China.
Mol Immunol. 2022 Apr;144:78-95. doi: 10.1016/j.molimm.2022.02.012. Epub 2022 Feb 21.
Glioma is one of the most frequent types of primary tumors in central nervous system. Previous studies deomostrated that tumor-associated macrophages (TAMs) and their marker genes were significantly associated with immunologic suppression and immune escape of cancer. However, the molecular mechanism between glioma and TAM marker genes is still rarely reported. In this research, we performed a comprehensive analysis of the prognostic prediction value of TAM marker genes in multiple glioma cohorts. Further investigation indicated that the increased expression of TAM marker genes resulted in the immune suppressive microenvironment in glioma through regulating tumor-infiltrating immune cells and Cancer-Immunity Cycle. To better forecast the survival of glioma patients, we then developed gene risk models in four glioma datasets (CGGA, TCGA, Rembrandt and Gravendeel). Univariate and multivariate Cox analysis exhibited the good survival prediction ability and prognostic discrimination ability of our models. The results of immunotherapy prediction indicated that glioma patients with low risk were more likely to benefit from ICB (immune checkpoint blockade) treatment. Altogether, our research provided a comprehensive analysis of TAM marker genes and explored their value for predicting prognosis and immunotherapy response in glioma.
胶质瘤是中枢神经系统最常见的原发性肿瘤类型之一。先前的研究表明,肿瘤相关巨噬细胞(TAM)及其标记基因与癌症的免疫抑制和免疫逃逸显著相关。然而,胶质瘤与TAM标记基因之间的分子机制仍鲜有报道。在本研究中,我们对多个胶质瘤队列中TAM标记基因的预后预测价值进行了全面分析。进一步研究表明,TAM标记基因表达增加通过调节肿瘤浸润免疫细胞和癌症-免疫循环导致胶质瘤中的免疫抑制微环境。为了更好地预测胶质瘤患者的生存情况,我们随后在四个胶质瘤数据集(CGGA、TCGA、Rembrandt和Gravendeel)中建立了基因风险模型。单变量和多变量Cox分析显示我们的模型具有良好的生存预测能力和预后判别能力。免疫治疗预测结果表明,低风险的胶质瘤患者更有可能从ICB(免疫检查点阻断)治疗中获益。总之,我们的研究对TAM标记基因进行了全面分析,并探索了它们在预测胶质瘤预后和免疫治疗反应方面的价值。