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 activation was analyzed. At last, we predict the immunotherapeutic response in both high and low FCER1G expression subgroups.

Results

FCER1G was significantly higher in glioma with greater malignancy and predicted poor prognosis. In multivariate analysis, the hazard ratio of FCER1G expression (Low versus High) was 0.66 and 95?% CI is 0.54 to 0.79 (P?ConclusionsThis study demonstrated FCER1G as a novel predictor for clinical diagnosis, prognosis, and response to immunotherapy in glioma patient. Assess expression of FCER1G is a promising method to discover patients that may benefit from immunotherapy.

SUBMITTER: Xu H

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

REPOSITORIES: biostudies-literature

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Publications

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

Xu Houshi H Zhu Qingwei Q Tang Lan L Jiang Junkun J Yuan Huiwen H Zhang Anke A Lou Meiqing M

Cancer cell international 20210212 1

<h4>Purpose</h4>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.<h4>Methods</h4>The expression level and correlation between c ...[more]

PMID: 33579299

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Dataset Information

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

Purpose

Methods

Results

Publications

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

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