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Bioinformatics Analysis of the Mechanisms by Which NAGLU Regulates Glioblastoma Cell Development

Year: 2025

Type: article

Abstract: To investigate the expression of N-acetyl-α-glucosaminidase (NAGLU) in glioblastoma (GBM) and to understand its relationship with disease progression and prognosis, we screened for differentially expressed genes in GBM progression using the QuickGO and GEPIA 2 online databases and identified the target gene NAGLU. Further analysis was conducted using bioinformatics tools, including the STRING, TIMER 2.0, and UALCAN databases, to analyze the differential expression of NAGLU across various cancer types and its correlation with GBM progression, as well as to predict its association with prognosis. We used the miRNet database to analyze its target miRNAs and lncRNAs and employed Cytoscape v3.10.0 to visualize the potential ceRNA regulatory network. The results showed that 144 genes related to cell developmental processes were retrieved from online databases. Additionally, 7,648 genes were differentially expressed in GBM. Sixty-two differentially expressed genes were involved in the biological processes of GBM cell senescence. Among them, NAGLU was significantly overexpressed in multiple cancers, including GBM, and high NAGLU expression was statistically associated with a significantly worse prognosis in GBM patients. The NAGLU gene encodes 10 interacting proteins, primarily involved in 3 signaling pathways (KEGG), 3 molecular functions (MF), 12 cellular components (CC), and 6 biological processes (BP). We predicted 1 miRNA and 44 lncRNAs targeting NAGLU. The study results indicate that NAGLU is highly expressed in various tumors, including GBM. Its expression also showed significant differences based on patient gender, age, ethnicity, and TP53 mutation status. In GBM progression, NAGLU may function via the lncRNA/miR-1-3p/NAGLU axis, serving as both a prognostic marker and a potential therapeutic target.

Source: International Journal of Biology and Life Sciences

DOI: 10.54097/rawvam60

Authors: Chao Xie, Jie Li, Yuxin Zhu, Shuqi Zhu, Dengzhuo Liu, Guangwei Wang

Institutions: Youjiang Medical College for Nationalities, Hunan University of Medicine, University of South China

Language: English

Topic: Glioma Diagnosis and Treatment

Subfield: Genetics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hunan Province