TNBC Prognostic Model Based on Four T Cell-Mediated Tumor Killing Genes

A prognostic model for triple-negative breast cancer (TNBC) based on four T cell-mediated tumor killing related genes (TTKRGs). The model was developed using transcriptomic data from TCGA-BRCA and validated with the GSE135565 dataset, achieving AUC values above 0.6. It was created by Chenyu Zhang and last updated in April 2026.

Use Cases

• Predicting patient survival risk based on four TTKRG genes (PODN, SEMA7A, GPR34, COCH)
• Analyzing differences in drug sensitivity and immune checkpoint expression between risk groups
• Investigating tumor microenvironment characteristics like stromal activation and M2 macrophage polarization
• Exploring gene regulatory networks involving transcription factors SP1, MYC, and CTCF

Strengths

• The model was validated with an independent dataset (GSE135565), suggesting reproducibility.
• The prognostic signature is based on four genes, offering a focused biomarker set.
• The analysis includes multiple validation aspects: clinical correlation, drug sensitivity, immune checkpoint expression, 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.
• The dataset is 26.8 KB, indicating a limited scope likely focused on model results rather than raw expression data.

Provenance

Source

Transcriptomic data from TCGA-BRCA and TTKRGs curated from literature.

Collection Method

Prognostic genes identified via intersection of differentially expressed genes and TTKRGs; model established and validated.

Freshness

Last updated 2026-04-10 06:02:54; freshness should be verified.