Integrated Characterization of Immune Subtypes in Breast Cancer

Supplementary file 1 contains integrated analysis results for breast cancer immune subtypes. The data was generated by Min Liu using transcriptomic profiles from TCGA, GEO, and CCLE, and was last updated on May 5, 2026. It includes results from Non-negative Matrix Factorization (NMF) analysis, therapeutic sensitivity predictions, and co-expression network analysis.

Use Cases

• Predicting patient responsiveness to immunotherapy based on identified immune subtypes.
• Identifying prognostic biomarkers linked to survival advantage in Basal-like breast tumors.
• Validating computational drug sensitivity predictions with in vitro experimental data.
• Building co-expression networks to discover hub genes for immune stratification.

Strengths

• Analysis integrates data from three major sources: TCGA, GEO, and CCLE.
• Identifies three distinct immune subtypes with clear prognostic implications.
• Therapeutic predictions are validated via in vitro experiments.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is contained in a 5.5 MB DOCX file, which may require parsing to extract structured data.

Provenance

Source

TCGA, GEO, and CCLE transcriptomic profiles.

Collection Method

Non-negative Matrix Factorization (NMF) analysis of Gene Set Variation Analysis enrichment scores.

Freshness

Last updated 2026-05-05 05:28:39; freshness should be verified.