Breast Cancer Immune Subtypes Linked to Drug Responsiveness

Three distinct immune subtypes of breast cancer were identified through Non-negative Matrix Factorization analysis of transcriptomic profiles from TCGA, GEO, and CCLE. The dataset likely contains characterization of these subtypes for immune, mutational, and molecular features, along with therapeutic sensitivity predictions. The work was authored by Min Liu and last updated in May 2026.

Use Cases

• Predict patient response to immunotherapy based on identified immune subtype classification.
• Identify subtype-specific hub genes for biomarker discovery using co-expression network analysis.
• Characterize tumor heterogeneity by correlating immune subtypes with Basal-like and Luminal tumor types.
• Assess therapeutic sensitivity using computational prediction algorithms validated by in vitro experiments.

Strengths

• The analysis integrates transcriptomic profiles from three major public repositories: TCGA, GEO, and CCLE.
• The immune stratification system was validated through experimental confirmation of five hub genes.
• The dataset is licensed under CC-BY-4.0, facilitating open reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is 821.7 KB, indicating a limited scope of data.

Provenance

Source

figshare

Collection Method

Non-negative Matrix Factorization analysis of Gene Set Variation Analysis enrichment scores from transcriptomic profiles.

Freshness

Last updated 2026-05-05 05:28:34; freshness should be verified.