Identification of an ATP metabolism-related signature associated with prognosis and immune microenvironment in gliomas
Identification of an ATP metabolism-related signature associated with prognosis and immune microenvironment in gliomas
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DOI：
10.1111/cas.14484
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发表时间：
2020-05-29
期刊：
影响因子：
5.7
通讯作者：
Wu, Fan
中科院分区：
文献类型：
--
作者：
Huang, Ruoyu;Li, Guanzhang;Wu, Fan
作为物质和能量代谢途径的核心环节，ATP代谢在弥漫性胶质瘤中的生物学功能和预后意义至今仍不清楚。基于对ATP代谢相关基因表达谱的综合分析，我们构建了ATP代谢相关风险特征，以确定ATP代谢的作用。我们发现，这种ATP代谢相关基因表达谱可以将患者分为2个具有不同临床特征和预后的稳健组。高风险组患者倾向于被预测为恶性实体，表明ATP代谢的激活可能促进弥漫性胶质瘤的恶性进展。考克斯回归和Kaplan-Meier分析表明，这种风险特征是预后的独立预测因子。通过列线图和时间依赖的受试者工作特征曲线（ROC）分析，建立个体化的预后预测模型。功能分析表明，除了物质和能量代谢外，ATP代谢在肿瘤免疫微环境的调节中也起着至关重要的作用。简而言之，ATP代谢相关特征与肿瘤免疫微环境的调节密切相关，可以作为弥漫性胶质瘤的独立预后生物标志物。
As the core element of material and energy metabolism pathways, the biological functions and prognostic significance of ATP metabolism in diffuse gliomas have so far remained unclear. Based on comprehensive analysis of ATP metabolism-related gene expression profiles, we constructed an ATP metabolism-related risk signature to determine the role of ATP metabolism. We found that this ATP metabolism-related gene expression profile could divide patients into 2 robust groups with distinct clinical characteristics and prognosis. Patients in the high-risk group tended to be predicted as malignant entities, indicating that the activation of ATP metabolism may promote the malignant progress of diffuse gliomas. Cox regression and Kaplan-Meier analyses suggested that this risk signature was an independent predictor for prognosis. Furthermore, we constructed an individualized prognosis prediction model through nomogram and time-dependent receiver operating characteristic (ROC) curve analyses. Functional analysis suggested that, in addition to material and energy metabolism, ATP metabolism also played an essential role in the regulation of the tumor immune microenvironment. In brief, the ATP metabolism-related signature was tightly associated with regulation of the tumor immune microenvironment and could serve as an independent prognostic biomarker in diffuse gliomas.