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

Four prognostic genes (NUP35, CASP3, BAG5, and DNAJB1) for high-grade serous ovarian cancer were identified by Qian Li in a study integrating Mendelian randomization, single-cell, and bulk RNA sequencing data. The dataset, last updated in May 2026, contains results used to construct and evaluate a risk model for patient prognosis. The 50.6 KB Excel file is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Validating prognostic gene signatures for high-grade serous ovarian cancer based on the four identified genes (NUP35, CASP3, BAG5, DNAJB1).
• Investigating the role of the integrated stress response pathway in cancer cell proliferation using the described risk model.
• Analyzing drug sensitivity correlations, such as the relationship between DNAJB1 expression and NPK76-II-72–1 inhibition, as mentioned in the study.
• Exploring gene expression dynamics during epithelial cell differentiation based on the single-cell RNA sequencing analysis referenced.

Strengths

• Identifies four specific prognostic genes (NUP35, CASP3, BAG5, DNAJB1) with validation via multiple methods.
• Risk model was evaluated and shown to accurately classify patients into high- and low-risk groups.
• Analysis integrated multiple data types, including Mendelian randomization and single-cell RNA sequencing.

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 (50.6 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 experimental validation.

Freshness

Last updated 2026-05-05 05:24:57; freshness should be verified.