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ABSTRACT: Background
Growth arrest-specific 2 like 3 (GAS2L3) is a cytoskeleton-associated protein that interacts with actin filaments and tubulin. Abnormal GAS2L3 expression has been reported to be associated with carcinogenesis. However, the biological role of GAS2L3 in glioma remains to be determined.Methods
The transcriptome level of GAS2L3 and its relationship with clinicopathological characteristics were analyzed among multiple public databases and clinical specimens. Bioinformatics analyses were conducted to explore biological functions and prognostic value of GAS2L3 in glioma.Results
GAS2L3 was substantially expressed in glioma, and high GAS2L3 expression correlated with shorter overall survival time and poor clinical variables. Gene set enrichment analysis (GSEA), single-sample gene-set enrichment analysis, and CIBERSORT algorithm analyses showed that GAS2L3 expression was closely linked to immune-related pathways, inflammatory activities, and immune cell infiltration. Moreover, GAS2L3 was synergistic with T cell-inflamed gene signature, immune checkpoints, T-cell receptor diversities, and neoantigen numbers.Conclusion
This study suggests that GAS2L3 is a prognostic biomarker for glioma, providing a reference for further study of the potential role of GAS2L3 in the immunomodulation of glioma.
SUBMITTER: Zhou Y
PROVIDER: S-EPMC8042292 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature

Zhou Yan Y Zhang Limin L Song Sirong S Xu Lixia L Yan Yan Y Wu Haiyang H Tong Xiaoguang X Yan Hua H
Frontiers in genetics 20210330
<h4>Background</h4>Growth arrest-specific 2 like 3 (GAS2L3) is a cytoskeleton-associated protein that interacts with actin filaments and tubulin. Abnormal GAS2L3 expression has been reported to be associated with carcinogenesis. However, the biological role of GAS2L3 in glioma remains to be determined.<h4>Methods</h4>The transcriptome level of GAS2L3 and its relationship with clinicopathological characteristics were analyzed among multiple public databases and clinical specimens. Bioinformatics ...[more]