GLA Gene Expression and Prognostic Analysis in Glioma

A research paper analyzes GLA gene expression in gliomas using TCGA and CGGA datasets. The study identifies ten prognosis-related genes, with GLA showing the strongest survival association and links to WHO grade, therapy resistance, and sphingolipid metabolism pathways. It includes single-cell RNA sequencing results from tumor-associated astrocytes and functional validation in glioma cell lines.

Use Cases

• Analyze the association between GLA expression levels and WHO tumor grade for glioma patient stratification.
• Investigate the correlation of GLA expression with therapy resistance and 1-, 3-, and 5-year survival outcomes using time-dependent ROC analysis.
• Explore the relationship between GLA expression and specific molecular pathways such as sphingolipid metabolism, hypoxia, and ERAD-related pathways like EDEM2.
• Validate GLA's functional role by examining its knockdown effects on cell viability and EDEM2 expression in glioma cell line models.

Strengths

• Analysis is validated across multiple independent cohorts, including TCGA and CGGA datasets.
• Integrates multiple analytical methods, including bulk RNA-seq, single-cell RNA sequencing, and in vitro functional validation.
• Identifies ten prognosis-related genes with GLA as the top candidate, providing a clear focus for biomarker research.
• Published under a permissive CC BY 4.0 license, allowing for reuse and redistribution.

Limitations

• The primary data is presented in a 6.0 MB PDF, requiring manual extraction for computational analysis.
• Underlying raw expression matrices, clinical data, and single-cell data are not directly provided as structured tables.
• The analysis is specific to glioma, limiting direct applicability to other cancer types without further validation.

Provenance

Source

TCGA (The Cancer Genome Atlas) and CGGA (Chinese Glioma Genome Atlas) datasets.

Collection Method

Retrospective analysis of public genomic datasets, single-cell RNA sequencing, and functional validation in cell lines.

Freshness

Last updated March 24, 2026.