OSR2 Pan-Cancer Analysis: Expression, Prognosis, and Immune Correlations

OSR2 expression correlates with poor prognosis in several cancers and is strongly associated with cancer-associated fibroblasts in the tumor microenvironment. This 26.8 MB CSV file contains integrated pan-cancer analysis data from TCGA and GEO, authored by Shijie Liu and last updated in April 2026. Gene set enrichment analysis suggests OSR2 may promote tumor progression through epithelial-mesenchymal transition.

Use Cases

• Identify prognostic biomarkers for lung adenocarcinoma based on OSR2 expression patterns.
• Predict immunotherapy response in lung adenocarcinoma based on correlations with tumor mutational burden and immune checkpoint gene expression.
• Analyze tumor microenvironment composition based on correlations between OSR2 expression and immune infiltration.
• Investigate mechanisms of tumor progression based on pathway enrichment analysis linking OSR2 to epithelial-mesenchymal transition.

Strengths

• Data integrates multiple authoritative sources, specifically TCGA and GEO.
• Analysis covers multiple cancer types in a pan-cancer framework.
• File size is 26.8 MB, indicating a substantial dataset.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

TCGA and GEO

Collection Method

Integrated pan-cancer analysis of RNA-seq and single-cell transcriptomic data, validated with in vitro experiments.

Freshness

Last updated 2026-04-24 05:36:30; freshness should be verified.