OSR2 Pan-Cancer Analysis with Focus on Lung Adenocarcinoma Mechanisms

A research document analyzing the transcription factor OSR2 across multiple cancer types using data from TCGA and GEO. The analysis evaluates OSR2 expression, prognosis, and correlations with tumor mutational burden, microsatellite instability, and immune infiltration. The document, authored by Shijie Liu and last updated in April 2026, includes functional validation in lung adenocarcinoma cells.

Use Cases

• Identify prognostic biomarkers for various cancers based on OSR2 expression patterns described in the analysis.
• Investigate correlations between transcription factor expression and immune infiltration in the tumor microenvironment.
• Explore potential predictors of immunotherapy response in lung adenocarcinoma based on OSR2 association.
• Study the role of cancer-associated fibroblasts in tumor progression through the lens of OSR2 expression.

Strengths

• Analysis integrates data from two major public repositories, TCGA and GEO.
• Includes in vitro experimental validation of OSR2's functional role in lung adenocarcinoma.
• Released under a permissive CC-BY-4.0 license.

Limitations

• The dataset is a 16.3 KB DOCX file, indicating a very limited scope, likely a summary document rather than raw data.
• Row count and column-level documentation are absent; data structure must be inferred from the text.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO).

Collection Method

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

Freshness

Last updated 2026-04-24 05:36:31; freshness should be verified.