Integrated Stress Response Prognostic Genes for High-Grade Serous Ovarian Cancer

Qian Li's research dataset identifies four prognostic genes (NUP35, CASP3, BAG5, DNAJB1) for high-grade serous ovarian cancer (HGSOC). The data was last updated on 2026-05-05 and integrates Mendelian randomization, single-cell RNA sequencing, and bulk RNA sequencing analyses. It includes results from a risk model, gene set enrichment, drug sensitivity analyses, and experimental validation.

Use Cases

• Validate prognostic gene signatures for HGSOC based on the identified four-gene panel.
• Investigate drug sensitivity correlations, such as between DNAJB1 expression and NPK76-II-72–1, as mentioned in the description.
• Study epithelial cell differentiation dynamics using the single-cell RNA sequencing data referenced.
• Explore pathway enrichment, such as the PPAR signaling pathway, in high- and low-risk patient groups.

Strengths

• Dataset integrates multiple analysis methods: Mendelian randomization, single-cell RNA-seq, and bulk RNA-seq.
• Includes experimental validation results from RT-qPCR, western blotting, and immunohistochemical staining.
• Prognostic model is based on four specific genes (NUP35, CASP3, BAG5, DNAJB1).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 10.2 KB file size suggests a very limited scope, likely containing summary results rather than raw sequencing data.

Provenance

Source

Author: Qian Li. Platform: figshare.

Collection Method

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

Freshness

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