Benzo(a)pyrene-Associated Molecular Signatures and Prognostic Model for Colon Cancer

This study integrates network toxicology and multi-omics analyses to identify molecular signatures linked to the environmental carcinogen Benzo(a)pyrene in colon cancer. It uses data from TCGA-COAD to identify 113 differentially expressed targets and six prognostic genes, constructing a risk model validated with external datasets. The dataset, authored by Xueying Yang and last updated in April 2026, includes files for the risk model and validation results.

Use Cases

• Developing prognostic risk models for colon cancer based on the six identified genes (CLK2, CRYAB, RPS6KA1, DPP7, CDC25C, GAST).
• Analyzing molecular networks connecting xenobiotic metabolism, p53 signaling, and cell cycle pathways in cancer.
• Investigating correlations between environmental carcinogen exposure and immunosuppressive tumor microenvironments.
• Validating tumor-specific gene expression patterns using external datasets like GSE39582 and TNMplot.

Strengths

• Identifies 113 differentially expressed BaP-related targets from TCGA-COAD data.
• Defines a six-gene prognostic model (CLK2, CRYAB, RPS6KA1, DPP7, CDC25C, GAST) validated with external datasets.
• Includes a nomogram for predicting 1-, 3-, and 5-year overall survival.

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 TCGA-COAD and validation dataset sources.

Provenance

Source

TCGA-COAD, CTD and Super-PRED databases, with external validation from GSE39582 and TNMplot.

Collection Method

Integrated network toxicology and multi-omics analysis, including PPI networks, functional enrichment, and Cox/Lasso regression.

Freshness

Last updated 2026-04-22 11:04:23; freshness should be verified.