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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 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.

SUBMITTER: Huang R 

PROVIDER: S-EPMC7385348 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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

Huang Ruoyu R   Li Guanzhang G   Wang Zhiliang Z   Hu Huimin H   Zeng Fan F   Zhang Kenan K   Wang Kuanyu K   Wu Fan F  

Cancer science 20200529 7


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 cha  ...[more]

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