OSR2 Pan-Cancer Analysis: Expression, Prognosis, and Therapeutic Implications

A 2026 research article by Shijie Liu analyzes the transcription factor OSR2 across multiple cancers. The study integrates data from TCGA and GEO to evaluate OSR2 expression patterns, prognostic significance, and correlations with tumor mutational burden, microsatellite instability, and immune infiltration. Findings highlight OSR2's role in the tumor microenvironment and its potential as a prognostic biomarker and therapeutic target.

Use Cases

• Identifying prognostic biomarkers based on OSR2 expression patterns across cancers.
• Analyzing correlations between gene expression and tumor microenvironment features like immune infiltration.
• Investigating potential therapeutic targets for lung adenocarcinoma based on functional validation experiments.
• Predicting immunotherapy response in lung adenocarcinoma using OSR2 expression data.

Strengths

• Integrates data from two major genomic repositories, TCGA and GEO.
• Includes functional validation through in vitro experiments.
• Focuses on a specific cancer type, lung adenocarcinoma, for detailed mechanistic insights.

Limitations

• The primary data format is a DOCX document (3.8 MB), not a structured dataset.
• Column-level documentation and sample data are unavailable.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

TCGA and GEO genomic databases.

Collection Method

Integrated pan-cancer analysis of expression data, followed by in vitro validation.

Freshness

Last updated 2026-04-24 05:36:29.