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http://purl.uniprot.org/citations/37215097http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://purl.uniprot.org/core/Journal_Citation
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Background

Glioma, the most prevalent malignant intracranial tumor, poses a significant threat to patients due to its high morbidity and mortality rates, but its prognostic indicators remain inaccurate. Although TRAF-associated NF-kB activator (TANK) interacts and cross-regulates with cytokines and microenvironmental immune cells, it is unclear whether TANK plays a role in the immunologically heterogeneous gliomas.

Methods

TANK mRNA expression patterns in public databases were analyzed, and qPCR and IHC were performed in an in-house cohort to confirm the clinical significance of TANK. Then, we systematically evaluated the relationship between TANK expression and immune characteristics in the glioma microenvironment. Additionally, we evaluated the ability of TANK to predict treatment response in glioma. TANK-associated risk scores were developed by LASSO-Cox regression and machine learning, and their prognostic ability was tested.

Results

TANK was specifically overexpressed in glioma and enriched in the malignant phenotype, and its overexpression was related to poor prognosis. The presence of a tumor microenvironment that is immunosuppressive was evident by the negative correlations between TANK expression and immunomodulators, steps in the cancer immunity cycle, and immune checkpoints. Notably, treatment for cancer may be more effective when immunotherapy is combined with anti-TANK therapy. Prognosis could be accurately predicted by the TANK-related risk score.

Conclusions

High expression of TANK is associated with the malignant phenotype of glioma, as it shapes an immunosuppressive tumor microenvironment. Additionally, TANK can be used as a predictive biomarker for responses to various treatments and prognosis."xsd:string
http://purl.uniprot.org/citations/37215097http://purl.org/dc/terms/identifier"doi:10.3389/fimmu.2023.1138203"xsd:string
http://purl.uniprot.org/citations/37215097http://purl.uniprot.org/core/author"Guo Y."xsd:string
http://purl.uniprot.org/citations/37215097http://purl.uniprot.org/core/author"Hu H."xsd:string
http://purl.uniprot.org/citations/37215097http://purl.uniprot.org/core/author"Liu H."xsd:string
http://purl.uniprot.org/citations/37215097http://purl.uniprot.org/core/author"Li S."xsd:string
http://purl.uniprot.org/citations/37215097http://purl.uniprot.org/core/author"Yan X."xsd:string
http://purl.uniprot.org/citations/37215097http://purl.uniprot.org/core/author"Zhou Q."xsd:string
http://purl.uniprot.org/citations/37215097http://purl.uniprot.org/core/author"Gao N."xsd:string
http://purl.uniprot.org/citations/37215097http://purl.uniprot.org/core/date"2023"xsd:gYear
http://purl.uniprot.org/citations/37215097http://purl.uniprot.org/core/name"Front Immunol"xsd:string
http://purl.uniprot.org/citations/37215097http://purl.uniprot.org/core/pages"1138203"xsd:string
http://purl.uniprot.org/citations/37215097http://purl.uniprot.org/core/title"TANK shapes an immunosuppressive microenvironment and predicts prognosis and therapeutic response in glioma."xsd:string
http://purl.uniprot.org/citations/37215097http://purl.uniprot.org/core/volume"14"xsd:string
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