Identification of an ATP metabolism‐related signature associated with prognosis and immune microenvironment in gliomas

Abstract

As the core element of material and energy metabolism pathways, the biological functions and prognostic significance of ATP metabolism have so far remained unclear in diffuse gliomas. Here, we found that ATP metabolism‐related genes could divide patients into two robust groups with distinct clinical characteristics and prognosis. Base on comprehensive analysis of ATP metabolism‐related genes expression profile, 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 two robust groups with distinct clinical characteristics and prognosis. Patients in high‐risk group tend 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 ROC Curve analysis. Functional analysis suggested that in addition to material and energy metabolism, ATP metabolism also played an essential role in the regulation of tumor immune microenvironment. In brief, the ATP metabolism‐related signature was tightly associated with the regulation of tumor immune microenvironment and could serve as an independent prognostic biomarker in diffuse gliomas.