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

A 16.0 KB Excel file from figshare, last updated 2026-05-05, contains data related to four identified prognostic genes (NUP35, CASP3, BAG5, DNAJB1) for high-grade serous ovarian cancer. The dataset was created by Qian Li and integrates results from Mendelian randomization, single-cell RNA sequencing, and bulk RNA sequencing analyses. It supports a prognostic risk model that classifies patients into high- and low-risk groups.

Use Cases

• Validating prognostic gene signatures for high-grade serous ovarian cancer based on the identified genes NUP35, CASP3, BAG5, and DNAJB1.
• Investigating drug sensitivity correlations, such as the relationship between DNAJB1 expression and NPK76-II-72–1 inhibition concentration.
• Exploring gene expression dynamics during epithelial cell differentiation using the single-cell RNA sequencing results mentioned.
• Assessing enrichment of biological pathways like the PPAR signaling pathway in different patient risk groups.

Strengths

• Identifies four specific prognostic genes (NUP35, CASP3, BAG5, DNAJB1) with validation via multiple techniques.
• Integrates data from three distinct analytical methods: Mendelian randomization, single-cell RNA sequencing, and bulk RNA sequencing.
• The prognostic model was validated using RT-qPCR, western blotting, and immunohistochemical staining.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• The dataset is small (16.0 KB), indicating limited scope, likely containing summary results rather than raw sequencing data.
• Description metadata is limited; actual data structure and field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Integration of HGSOC- and ISR-related data via differential expression, Mendelian randomization, and Cox analyses.

Freshness

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