Gastric Cancer Prognostic Gene Signature from Integrated Transcriptomic Analysis

A study by Ruilong Kou, published on figshare in March 2026, identifies a four-gene signature related to stress granules for predicting gastric cancer patient survival. The 9.8 KB Excel file contains results from an integrated analysis of bulk and single-cell RNA sequencing data from public databases. It includes a validated risk score model, functional enrichment, and immune infiltration analyses.

Use Cases

• Building prognostic risk models for gastric cancer based on the identified SERPINE1, CD36, MMRN1, and GRP gene signature.
• Conducting functional enrichment analysis based on neuroactive ligand-receptor and ECM-receptor interaction pathways mentioned in the results.
• Analyzing correlations between gene expression and immune cell infiltration, specifically mast cells, as indicated in the description.
• Investigating chemotherapy drug sensitivity differences between high-risk and low-risk patient groups as described.
• Identifying key cell populations, such as endothelial cells, linked to prognostic gene expression using single-cell data.

Strengths

• Identifies a specific four-gene prognostic signature (SERPINE1, CD36, MMRN1, GRP) validated in an independent cohort.
• Integrates multiple data types: bulk transcriptomics and single-cell RNA sequencing data.
• Risk model performance is explicitly noted as demonstrating 'good performance' in predicting survival.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small at 9.8 KB, indicating limited scope, likely containing summary results rather than raw sequencing data.
• Geographic and temporal coverage of the source public databases is unspecified, which may affect generalizability.

Provenance

Source

figshare, authored by Ruilong Kou.

Collection Method

Integrated analysis of public single-cell and transcriptomic data for gastric cancer, combined with stress granule-related genes from literature.

Time Range

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Freshness

Last updated 2026-03 17 13:05:10.

Geography

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