A Calcium-Related Immune Signature in Prognosis Prediction of Patients With Glioma.

ABSTRACT: Background: Immune checkpoint inhibitors have been successfully used in a variety of tumors, however, the efficacy of immune checkpoint blockade therapy for patients with glioma is limited. In this study, we tried to clarify gene expression signatures related to the prognosis of gliomas and construct a signature to predict the survival of patients with gliomas. Methods: Calcium-related differential expressed genes (DEGs) between gliomas and normal brain tissues were comprehensively analyzed in two independent databases. Univariate, multivariate Cox regression analysis and proportional hazards model were used to identify the prognostic of calcium-related risk score signature. The CIBERSORT algorithm and association analysis were carried out to evaluate the relationship between

SUBMITTER: Lin C 

PROVIDER: S-EPMC8505737 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature