Four Prognostic Genes for High-Grade Serous Ovarian Cancer

Qian Li's dataset contains results from a study identifying integrated stress response-related prognostic genes for high-grade serous ovarian cancer. The data was published on figshare on 2026-05-05. It includes findings from Mendelian randomization, single-cell RNA sequencing, and bulk RNA sequencing analyses.

Use Cases

• Building a risk model for patient prognosis based on the four identified prognostic genes (NUP35, CASP3, BAG5, DNAJB1).
• Analyzing drug sensitivity correlations, such as the relationship between DNAJB1 expression and NPK76-II-72–1 inhibition concentration.
• Investigating gene expression dynamics during epithelial cell differentiation using single-cell RNA sequencing results.
• Validating gene expression findings via comparison with RT-qPCR, western blotting, and immunohistochemical staining results.

Strengths

• The dataset is derived from a multi-method analysis integrating Mendelian randomization, single-cell, and bulk RNA sequencing.
• It identifies four specific prognostic genes (NUP35, CASP3, BAG5, DNAJB1) with validation via multiple experimental techniques.
• The dataset is licensed under CC-BY-4.0, allowing for open reuse and redistribution.

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 143.7 KB, indicating a very limited scope of data.

Provenance

Source

figshare

Collection Method

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

Freshness

Last updated 2026-05-05 05:25:10; freshness should be verified.