An integrated transcriptomic and computational analysis for biomarker identification in human glioma

Area of Science:

• Oncology
• Molecular Biology
• Genetics

Background:

• Malignant glioma is a deadly brain cancer with poorly understood molecular mechanisms.
• Early diagnosis and targeted treatment are crucial for improving patient outcomes.

Purpose of the Study:

• To identify key genes involved in early-stage glioma pathogenesis.
• To investigate the role of differentially expressed genes in glioma progression and patient survival.

Main Methods:

• Transcriptome microarray analysis to detect differentially expressed genes in glioma tissues.
• Bioinformatic analyses and co-expression network construction for gene validation.
• Quantitative real-time polymerase chain reaction (qPCR) and immunohistochemistry to validate CAPG expression and prognostic impact.

Main Results:

• 1725 genes were found to be differentially expressed across glioma stages.
• 14 genes, including macrophage capping protein (CAPG), were significantly associated with patient survival.
• CAPG was upregulated in high-grade glioblastoma and correlated with shorter overall survival.

Conclusions:

• Macrophage capping protein (CAPG) plays a key role in glioma cell motility through cytoskeleton interaction.
• CAPG overexpression is linked to glioma tumorigenesis and progression.
• CAPG may serve as a valuable biomarker for pathological grading and prognosis in glioma patients.