Linear Regression Statistics for Canine Cancer Cell Line Macrophage Polarization

Linear regression statistics from a study investigating how 25 canine cancer cell lines influence macrophage polarization. The dataset, authored by Rachel V. Brady and last updated in April 2026, likely contains correlation results linking cancer cell gene expression to macrophage cytokine secretion, identifying potential biomarkers like MVB12A and CCL3.

Use Cases

• Identify gene expression biomarkers correlated with macrophage polarization capacity based on the described correlation analysis.
• Investigate exosome-mediated mechanisms in tumor immunology based on the described MVB12A and VEGF findings.
• Explore histiocytic sarcoma-specific drivers of inflammation based on the described CCL3 and TNF-α correlation.
• Validate pathways for immune suppression and epithelial-to-mesenchymal transition based on the described gene set enrichment analysis.

Strengths

• Data is derived from experiments using 25 canine cancer cell lines and macrophages from three canine donors.
• Analysis includes multiple methods: Spearman's correlation, differential expression, and gene set enrichment analysis.
• Results identify specific candidate genes (MVB12A, CCL3) and pathways for further validation.

Limitations

• The dataset is very small (341 bytes), suggesting it contains only summary statistics, not raw experimental data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare, authored by Rachel V. Brady.

Collection Method

Likely generated from statistical analysis of RNA-sequencing and cytokine secretion data from in vitro co-culture experiments.

Time Range

The study timeframe is not specified, but the dataset was updated in 2026.

Freshness

Last updated 2026-04-24 17:32:23; freshness should be verified.

Geography

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