TNBC Prognostic Model Based on 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 genes identified from transcriptomic data from TCGA-BRCA and validated with the GSE135565 dataset. It includes analyses of risk scores, drug sensitivity, immune checkpoint expression, and tumor microenvironment.

Use Cases

• Predicting patient survival based on the four-gene prognostic signature mentioned in the description
• Analyzing differences in drug sensitivity among risk groups as described
• Investigating immune checkpoint expression patterns in different risk groups
• Exploring tumor microenvironment characteristics, such as stromal activation and M2 macrophage polarization, as outlined in the conclusion
• Identifying potential transcription factor associations (SP1, MYC, CTCF) with prognostic genes

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

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect bias inherent to the specific transcriptomic datasets used

Provenance

Source

Transcriptomic data from TCGA-BRCA and TTKRGs curated by the author

Collection Method

Analysis of differentially expressed genes and T cell-mediated tumor killing related genes to establish a prognostic model

Freshness

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