TNBC Prognostic Model: Four T Cell-Mediated Tumor Killing Genes

Chenyu Zhang published a prognostic model for triple-negative breast cancer on figshare in April 2026. The model is based on four T cell-mediated tumor killing related genes identified from transcriptomic data from TCGA-BRCA and validated with the GSE135565 dataset. It likely contains risk scores, gene expression values, and associated clinical or immunological features.

Use Cases

• Predicting patient survival risk based on the four-gene prognostic signature.
• Analyzing associations between risk scores and pathological stages.
• Comparing drug sensitivity profiles among different prognostic risk groups.
• Investigating immune checkpoint expression differences across risk groups.
• Exploring tumor microenvironment characteristics like stromal activation and M2 macrophage polarization.

Strengths

• The prognostic model was validated with an independent dataset (GSE135565).
• Model performance is reported with AUC values all above 0.6 in training and validation sets.
• Analysis integrates multiple biological aspects: clinical correlation, drug sensitivity, immune checkpoint expression, 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.
• The dataset is very small (14.5 KB), indicating limited scope.

Provenance

Source

Transcriptomic data from TCGA-BRCA and the GSE135565 validation dataset.

Collection Method

Curated TTKRGs and differentially expressed genes to build and validate a prognostic model.

Freshness

Last updated 2026-04-10 06:02:56