ISR-Related Prognostic Genes in High-Grade Serous Ovarian Cancer

A research dataset identifies four prognostic genes (NUP35, CASP3, BAG5, DNAJB1) for high-grade serous ovarian cancer. The data was generated by Qian Li using Mendelian randomization, single-cell RNA sequencing, and bulk RNA sequencing analyses. The dataset was last updated on 2026-05-05.

Use Cases

• Constructing a prognostic risk model for ovarian cancer based on the four identified genes (NUP35, CASP3, BAG5, DNAJB1).
• Analyzing drug sensitivity correlations, such as between DNAJB1 expression and NPK76-II-72–1 half-maximum inhibition concentration.
• Investigating gene expression dynamics during epithelial cell differentiation using single-cell RNA sequencing data.
• Validating gene expression findings via methods like RT-qPCR, western blotting, and immunohistochemical staining.

Strengths

• Identifies four specific prognostic genes (NUP35, CASP3, BAG5, DNAJB1) for high-grade serous ovarian cancer.
• Integrates multiple analytical methods: Mendelian randomization, single-cell RNA-seq, and bulk RNA-seq.
• The dataset is openly available under a CC-BY-4.0 license.

Limitations

• The dataset is very small at 12.0 KB, indicating limited scope.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Data may reflect the specific biases inherent to the research study's sample and methodology.

Provenance

Source

figshare, author Qian Li.

Collection Method

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

Freshness

Last updated 2026-05-05 05:24:58; freshness should be verified.