Author:
Fang Chaoyou,Zhang Zeyu,Han Yongquan,Xu Houshi,Zhu Zhengyang,Du Yichao,Hou Pinpin,Yuan Ling,Shao Anwen,Zhang Anke,Lou Meiqing
Abstract
Introduction: Glioma is the most common primary brain tumor and primary malignant tumor of the brain in clinical practice. Conventional treatment has not significantly altered the prognosis of patients with glioma. As research into immunotherapy continues, glioma immunotherapy has shown great potential.Methods: The clinical data were acquired from the Chinese Glioma Genome Atlas (CGGA) database and validated by the Gene Expression Omnibus (GEO) database, The Cancer Genome Atlas (TCGA) dataset, Clinical Proteomic Tumor Analysis Consortium (CPTAP) database, and Western blot (WB) analysis. By Cox regression analyses, we examined the association between different variables and overall survival (OS) and its potential as an independent prognostic factor. By constructing a nomogram that incorporates both clinicopathological variables and the expression of URB2, we provide a model for the prediction of prognosis. Moreover, we explored the relationship between immunity and URB2 and elucidated its underlying mechanism of action.Results: Our study shows that URB2 likely plays an oncogenic role in glioma and confirms that URB2 is a prognostic independent risk factor for glioma. Furthermore, we revealed a close relationship between immunity and URB2, which suggests a new approach for the immunotherapy of glioma.Conclusion: URB2 can be used for prognosis prediction and immunotherapy of glioma.
Funder
Natural Science Foundation of Shanghai
Natural Science Foundation of Zhejiang Province
Subject
Pharmacology (medical),Pharmacology
Cited by
1 articles.
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