Prognostic Values of Core Genes in Pilocytic Astrocytom

Pilocytic astrocytoma (PA) is the most common primary brain tumor in children and adolescents. Treatment strategy largely depends on its key genes and molecular mutations. This study aimed to identify potential biomarkers of PA closely related to its prognosis. The gene expression profiles (series n...

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Bibliographic Details
Published in:World neurosurgery 2023-08, Vol.176, p.e101-e108
Main Authors: Zhang, Siqi, Luo, Yi, Sun, Weisheng, Tan, Weiting, Zeng, Hongwu
Format: Article
Language:English
Subjects:
Adolescent
Bioinformatics analysis
Biomarkers, Tumor - genetics
Biomarkers, Tumor - metabolism
Child
Computational Biology
Differentially expressed genes
gamma-Aminobutyric Acid - metabolism
Gene Expression Profiling
Gene Expression Regulation, Neoplastic - genetics
Humans
Overall survival
Pilocytic astrocytoma
Prognosis
Protein Interaction Maps - genetics
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Summary:Pilocytic astrocytoma (PA) is the most common primary brain tumor in children and adolescents. Treatment strategy largely depends on its key genes and molecular mutations. This study aimed to identify potential biomarkers of PA closely related to its prognosis. The gene expression profiles (series numbers GSE50161, GSE66354, and GSE86574) of PA and normal brain tissues were downloaded from the Gene Expression Omnibus database. The Gene Expression Omnibus2R was used to identify differentially expressed genes. The overlapping differentially expressed genes were subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) database. A protein-protein interaction network was constructed using Search Tool for the Retrieval of Interacting Genes (STRING) and Cytoscape. The Gene Expression Profiling Interactive Analysis 2 (GEPIA2) tool analyzed the impact of hub genes on PA prognosis based on the Kaplan–Meier curves. Compared with normal brain tissues (n = 36), a total of 37 upregulated and 144 downregulated genes were identified in PA (n = 40). In the protein-protein interaction network construction and GEPIA2 survival analysis, 2 of the top 10 hub genes were significantly associated with decreased overall survival of PA patients, namely Gamma-aminobutyric acid A receptor alpha 2 (hazard ratio  =  2.8, P  
ISSN:1878-8750
1878-8769
1878-8769
DOI:10.1016/j.wneu.2023.05.006