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Updated: Jan 20, 2026
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Published on: April 14, 2010
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Prognostic Markers Identification in Glioma by Gene Expression Profile Analysis
Guozhang Hu1, Rui Wang2, Bo Wei3
1Department of Emergency Medicine, China-Japan Union Hospital of Jilin University, Changchun, China.
Summary
This study identified novel gene markers for glioma and its prognosis. Key genes like PUS7, EFR3B, and NRCAM show potential as glioma biomarkers, while THBS1, CASP8, GRIA2, GRIA4, and ADCYAP1R1 may predict patient outcomes.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Glioma is a complex brain tumor with limited effective biomarkers.
- Identifying novel gene markers is crucial for improved diagnosis and prognosis of glioma.
Purpose of the Study:
- To identify and validate novel gene expression markers associated with glioma.
- To explore potential gene markers for predicting glioma prognosis.
Main Methods:
- Analysis of RNA sequencing data from Gene Expression Omnibus and The Cancer Genome Atlas databases.
- Identification of differentially expressed genes (DEGs), pathway enrichment analysis, and coexpression network construction.
- Screening of prognostic genes using integrated bioinformatics approaches.
Main Results:
- 634 upregulated and 769 downregulated DEGs were identified between glioma and normal samples.
- Significant pathways include p53 signaling and neuroactive ligand-receptor interaction.
- PUS7, EFR3B, and NRCAM emerged as potential glioma biomarkers; THBS1, CASP8, GRIA2, GRIA4, and ADCYAP1R1 as prognostic markers.
Conclusions:
- The p53 signaling pathway and neuroactive ligand-receptor interaction are implicated in glioma progression.
- PUS7, EFR3B, and NRCAM represent promising biomarkers for glioma detection.
- THBS1, CASP8, GRIA2, GRIA4, and ADCYAP1R1 may serve as valuable prognostic markers for glioma patients.
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