Chenyu Zhang published a prognostic model for triple-negative breast cancer on figshare in April 2026. The model is based on transcriptomic data from TCGA-BRCA and validated with GSE135565, identifying four prognostic genes. It includes analysis of risk groups, drug sensitivity, immune checkpoint expression, and tumor microenvironment.
Use Cases
- Predicting patient survival based on a four-gene prognostic signature.
- Analyzing differences in drug sensitivity among patient risk groups.
- Investigating immune checkpoint expression and tumor microenvironment characteristics.
- Exploring enriched pathways like cell cycle and immune regulation in different risk groups.
Strengths
- Model validated with an independent dataset (GSE135565).
- Predictive performance reported with AUC values all above 0.6.
- Analysis includes multiple dimensions: clinical correlation, drug sensitivity, immune checkpoint, and tumor microenvironment.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Dataset size is 55.3 KB, indicating a limited scope of data.
Provenance
- Source
- figshare
- Collection Method
- Transcriptomic data from TCGA-BRCA and T cell-mediated tumor killing related genes were curated; validation used GSE135565 dataset.
- Freshness
- Last updated 2026-04-10 06:02:55; freshness should be verified.