RUNX1–F2R–DCAF7 Axis Linking Inflammation and Ferroptosis in Oral Squamous Cell Carcinoma

RNA-sequencing data from 333 tumors and 32 normal tissues in The Cancer Genome Atlas Oral Squamous Cell Carcinoma cohort, plus 27 tumors and 5 normal tissues from GSE23558. The dataset was analyzed by Guo, Jie to identify a novel regulatory axis linking inflammation and ferroptosis, with results last updated in May 2026.

Use Cases

• Validate prognostic biomarkers based on RUNX1, F2R, and DCAF7 gene expression levels.
• Investigate correlations between gene expression and immune cell infiltration based on EPIC and MCP-counter algorithm outputs.
• Perform pathway enrichment analysis on inflammation and ferroptosis-related gene sets.
• Replicate survival analysis using hazard ratios associated with key genes like DCAF7.

Strengths

• Includes data from 333 tumor and 32 normal tissue samples from TCGA.
• Key findings are supported by specific statistical results (e.g., RUNX1 log2FC=1.24, P<0.001).
• Analysis validated with RT-qPCR in six paired OSCC samples.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect the specific cohort bias inherent to TCGA and GEO sources.

Provenance

Source

The Cancer Genome Atlas (TCGA) OSCC cohort and GEO dataset GSE23558.

Collection Method

RNA-sequencing data analysis, differential expression, GSEA, WGCNA, and immune infiltration algorithms.

Freshness

Last updated 2026-05-17 06:23:48; freshness should be verified.