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

A 16.0 KB Excel file uploaded to figshare by Qian Li on 2026-05-05. It contains data from a study identifying four integrated stress response-related prognostic genes (NUP35, CASP3, BAG5, DNAJB1) for high-grade serous ovarian cancer using Mendelian randomization and RNA sequencing analyses.

Use Cases

• Validate the identified four-gene prognostic signature (NUP35, CASP3, BAG5, DNAJB1) based on the study's risk model.
• Investigate drug sensitivity correlations, such as the link between DNAJB1 expression and NPK76-II-72–1, as mentioned in the description.
• Explore pathway enrichment, like the PPAR signaling pathway, in high- and low-risk patient groups.
• Analyze gene expression dynamics during epithelial cell differentiation for BAG5 and DNAJB1.

Strengths

• Identifies four specific prognostic genes (NUP35, CASP3, BAG5, DNAJB1) for HGSOC.
• Model validation involved multiple techniques: differential expression, Mendelian randomization, Cox analysis, and wet-lab methods (RT-qPCR, western blot).
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (16.0 KB), indicating limited scope, likely containing summary results rather than raw sequencing data.

Provenance

Source

figshare, author Qian Li.

Collection Method

Integrated analysis of HGSOC- and ISR-related data using differential expression, Mendelian randomization, univariate Cox analyses, and single-cell/bulk RNA sequencing.

Freshness

Last updated 2026-05-05 05:25:11; freshness should be verified.