Unknown

Dataset Information

Prognostic and predictive value of FCER1G in glioma outcomes and response to immunotherapy.


ABSTRACT:

Purpose

Glioma is the most prevalent malignant form of brain tumors, with a dismal prognosis. Currently, cancer immunotherapy has emerged as a revolutionary treatment for patients with advanced highly aggressive therapy-resistant tumors. However, there is no effective biomarker to reflect the response to immunotherapy in glioma patient so far. So we aim to assess the clinical predictive value of FCER1G in patients with glioma.

Methods

The expression level and correlation between clinical prognosis and FER1G levels were analyzed with the data from CGGA, TCGA, and GEO database. Univariate and multivariate cox regression model was built to predict the prognosis of glioma patients with multiple factors. Then the correlation between FCER1G with immune cell infiltration and activa

SUBMITTER: Xu H 

PROVIDER: S-EPMC7881595 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature