Target Genes of Prostate Cancer: Computational Analysis of Endocrine Disruptor Links

Xinyao Zhu published a computational dataset on figshare in June 2026, identifying potential molecular links between phenolic pollutants and prostate cancer. The data includes results from bioinformatic analyses of public gene expression datasets (GSE46602, TCGA, GSE137829) and molecular docking simulations. The dataset is 167.4 KB in size and is available in XLSX format under a CC-BY-4.0 license.

Use Cases

• Validate core gene signatures (ENPP2, FASN, PTGS2, CHRM1) for prostate cancer diagnosis based on the described differential expression analysis.
• Investigate cell-type-specific expression patterns of FASN in prostate cancer using the single-cell RNA sequencing data referenced in the description.
• Perform pathway enrichment analysis based on the lipid metabolism and oncogenic pathways (PI3K-AKT-mTOR, androgen response) identified in the study.
• Use the provided molecular docking affinities and binding free energies as a benchmark for simulating pollutant-protein interactions.

Strengths

• Includes results from analysis of multiple public genomic datasets (GSE46602 with 50 samples, TCGA cohort, GSE137829 with 6 samples).
• Provides specific molecular docking metrics, including binding affinities (-6.0 and -6.1 kcal/mol) and binding free energies (-19.70 and -17.24 kcal/mol).
• Identifies four core diagnostic genes with quantified performance metrics (AUC values ranging from 0.605 to 0.800).

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 small (167.4 KB), indicating a limited scope focused on specific analysis results rather than raw genomic data.

Provenance

Source

figshare

Collection Method

Computational bioinformatics analysis integrating target prediction, differential gene expression, machine learning feature selection, and molecular dynamics simulations.

Freshness

Last updated 2026-06-02 17:27:59; freshness should be verified.