Literature DB >> 31470166

Galectin-9: A Predictive Biomarker Negatively Regulating Immune Response in Glioma Patients.

Tingyu Liang1, Xiaoxuan Wang2, Fang Wang1, Enshan Feng1, Gan You3.   

Abstract

BACKGROUND: Glioma is the most frequent primary brain tumor. Immunotherapy is one of the most promising therapeutic approaches for gliomas. T cell immunoglobulin domain and mucin domain-3 can induce the malignancy of gliomas. The function of galectin-9 (GAL-9), as one of the ligands of T cell immunoglobulin domain and mucin domain-3, in glioma has remained elusive. The aim of this study was to characterize the expression of GAL-9 in patients with glioma.
METHODS: This study enrolled 1292 patients with glioma from the GSE 16011 array set, the Chinese Glioma Genome Atlas, and The Cancer Genome Atlas datasets. Kaplan-Meier analysis was undertaken to explore the prognostic value of GAL-9. Graphpad software and R language were used for statistical analysis.
RESULTS: Expression of GAL-9 was highly correlated with major clinical and molecular features. Patients with high expression of GAL-9 were more susceptible to development of malignant tumors. Gene Ontology analysis revealed that expression of GAL-9 was closely associated with function of immune response in glioma. Clinically, the results of Kaplan-Meier analysis showed that expression of GAL-9 was negatively associated with overall survival in all grades of glioma including high-grade gliomas. High expression of GAL-9 was an independent indicator of poor prognosis.
CONCLUSIONS: Our results highlight the pivotal role of GAL-9 in regulation of immune suppressive features of gliomas and indicate that GAL-9 is a promising target for cancer immunotherapy and may lead to development of further therapies.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  GAL-9; Glioma; Immune response; Prognosis

Mesh:

Substances:

Year:  2019        PMID: 31470166     DOI: 10.1016/j.wneu.2019.08.117

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


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