Construction of a telomere-related gene signature to predict prognosis and immune landscape for glioma.

ABSTRACT:

Background

Glioma is one of the commonest malignant tumors of the brain. However, glioma present with a poor clinical prognosis. Therefore, specific detection markers and therapeutic targets need to be explored as a way to promote the survival rate of BC patients. Therefore, we need to search for quality immune checkpoints to support the efficacy of immunotherapy for glioma.

Methods

We first recognized differentially expressed telomere-related genes (TRGs) and accordingly developed a risk model by univariate and multivariate Cox analysis. The accuracy of the model is then verified. We evaluated the variations in immune function and looked at the expression levels of immune checkpoint genes. Finally, to assess the anti-tumor medications often used in the clinical treatment of

SUBMITTER: Xie Q 

PROVIDER: S-EPMC10284135 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature