Data Sheet 1_Unveiling prognostic genes and regulatory mechanisms of stress granules in ga

Four prognostic genes (SERPINE1, CD36, MMRN1, GRP) were identified for gastric cancer via integrated analysis of bulk and single-cell RNA sequencing data. The 415.8 KB CSV file contains results from a study by Ruilong Kou, last updated on 2026-03-17. The data supports a risk score model validated for predicting patient overall survival.

Use Cases

• Validate the four-gene (SERPINE1, CD36, MMRN1, GRP) stress granule-related signature for prognostic modeling in gastric cancer.
• Investigate associations between prognostic genes and immune cell infiltration patterns, such as mast cells.
• Analyze functional enrichment pathways like neuroactive ligand-receptor interaction and ECM-receptor interaction.
• Assess chemotherapy drug sensitivity differences between high-risk and low-risk patient groups.
• Explore the role of endothelial cells as a key cell population linked to prognostic gene expression.

Strengths

• Data is derived from an integrated analysis of both bulk transcriptomics and single-cell RNA sequencing.
• The prognostic risk model was validated in an independent cohort.
• File size is 415.8 KB, facilitating quick download and inspection.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• Data freshness should be verified as the last update is dated 2026-03 17.

Provenance

Source

figshare, author Ruilong Kou.

Collection Method

Data acquired from public databases and literature; analysis involved differential expression, Cox regression, and single-cell clustering.

Time Range

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Freshness

Last updated 2026-03-17 13:05:18.

Geography

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