Predictive potentials of glycosylation-related genes in glioma prognosis and their correlation with immune infiltration

Yi-Fei Sun ¹, Lan-Chun Zhang ², Rui-Ze Niu ²

⁰Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Scientific Reports +

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February 23, 2024

View abstract on PubMed

Summary

This study identifies seven key glycosylation genes that predict glioma patient outcomes. A novel prognostic signature using these genes accurately forecasts glioma prognosis and may serve as a diagnostic biomarker.

Area Of Science

Oncology
Molecular Biology
Genetics

Background

Glycosylation is a critical hallmark of cancer, yet its role in glioma progression and prognosis remains underexplored.
Comprehensive analysis of glycosylation-related gene sets in glioma is lacking, hindering the development of targeted therapies.

Purpose Of The Study

To comprehensively analyze glycosylation-related genes in glioma and identify novel prognostic biomarkers.
To develop and validate a glycosylation-based prognostic signature for glioma patients.

Main Methods

Utilized TCGA-GTEx and CGGA databases for gene expression and clinical data analysis.
Employed consensus clustering, PCA, Lasso, and Cox regression to identify prognostic genes.
Validated the prognostic signature's predictive accuracy and explored underlying biological pathways via GSEA and immuno-correlation analysis.

Main Results

Identified seven glycosylation genes (BGN, C1GALT1C1L, GALNT13, SDC1, SERPINA1, SPTBN5, TUBA1C) significantly associated with glioma prognosis.
Developed a robust prognostic signature that accurately predicts glioma patient survival, outperforming clinicopathological factors.
High-risk patients exhibited enrichment in immune-related pathways and increased infiltration of immune cells; gene silencing inhibited glioma cell viability.

Conclusions

The 7-gene glycosylation-related prognostic signature effectively distinguishes high-risk glioma patients.
This signature holds potential as a novel biomarker for glioma diagnosis and treatment strategies.
Targeting these glycosylation genes may offer new therapeutic avenues for glioma treatment.

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