Four prognostic genes (SERPINE1, CD36, MMRN1, GRP) were identified for gastric cancer through integrated bulk and single-cell RNA sequencing analysis. The 73.5 KB CSV file contains results from a study by Ruilong Kou, last updated in March 2026. A risk model built from these genes demonstrated performance in predicting patient overall survival.
Use Cases
- Validating a four-gene risk score model for gastric cancer patient survival prediction based on the described prognostic signature.
- Analyzing associations between stress granule-related genes and immune cell infiltration patterns, specifically mast cells, as indicated in the results.
- Investigating chemotherapy drug sensitivity differences between high-risk and low-risk gastric cancer patient groups as per the study's analysis.
- Exploring the role of endothelial cells as a key cell population linked to the expression of the identified prognostic genes.
Strengths
- Data is derived from an integrated analysis of both bulk transcriptomics and single-cell RNA sequencing data.
- The prognostic model was validated in an independent cohort, as stated in the methods.
- File is openly licensed under CC-BY-4.0 for reuse.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The 73.5 KB file size suggests a limited scope, likely containing summary results rather than raw sequencing data.
Provenance
- Source
- figshare, author Ruilong Kou.
- Collection Method
- Candidate genes identified by intersecting differentially expressed genes with stress granule-related genes from public databases and literature.
- Time Range
- null
- Freshness
- Last updated 2026-03-17 13:05:13; freshness should be verified.
- Geography
- null