HGSOC Prognostic Genes: Integrated Stress Response Model with Four Identified Markers

A study published in 2026 by Qian Li identifies four prognostic genes (NUP35, CASP3, BAG5, DNAJB1) for high-grade serous ovarian cancer (HGSOC). The 18.0 KB Excel file contains results from an integrated analysis using Mendelian randomization, single-cell RNA sequencing, and bulk RNA sequencing. It includes a risk model for patient prognosis and associated drug sensitivity and pathway enrichment analyses.

Use Cases

• Validate the four-gene prognostic risk score (NUP35, CASP3, BAG5, DNAJB1) for HGSOC patient stratification.
• Investigate the PPAR signaling pathway's role in HGSOC based on enrichment analysis results.
• Analyze correlations between drug sensitivity (e.g., NPK76-II-72–1) and gene expression (DNAJB1) for potential therapeutic insights.
• Study gene expression dynamics (BAG5, DNAJB1) during epithelial cell differentiation using single-cell RNA sequencing data.

Strengths

• Identifies four specific prognostic genes (NUP35, CASP3, BAG5, DNAJB1) with validation via multiple methods.
• Risk model was evaluated for accurately predicting patient prognosis between high- and low-risk groups.
• Analysis integrates multiple data types: Mendelian randomization, single-cell RNA-seq, and bulk RNA-seq.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 18.0 KB file size suggests a very limited scope, likely containing summary results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Integrated analysis of HGSOC- and ISR-related data using differential expression, Mendelian randomization, Cox analysis, and experimental validation.

Freshness

Last updated 2026-05-05 05:25:09; freshness should be verified.