Disulfidptosis-Related Gene Expression and Prognostic Model for Ewing's Sarcoma

Zhenyang Wang published this dataset on figshare in April 2026. It contains transcriptomic analysis data related to disulfidptosis, a novel cell death mechanism, in Ewing's sarcoma. The data was used to develop a five-gene prognostic risk signature and includes results from experimental validation in RD-ES cells.

Use Cases

• Training prognostic models for cancer survival based on a five-gene risk signature (NDUFS1, LRPPRC, NDUFA11, OXSM, NUBPL).
• Analyzing drug sensitivity patterns, such as response to microtubule inhibitors, across different risk groups.
• Investigating single-cell functional heterogeneity and tumor microenvironment interactions based on DRG enrichment patterns.
• Performing molecular docking simulations to evaluate protein-compound interactions for drug discovery.

Strengths

• Includes experimental validation of key gene dysregulation at RNA and protein levels in RD-ES cells.
• Prognostic model was developed using multiple analytical methods, including Cox regression and LASSO, on four GEO datasets.
• Single-cell RNA sequencing analysis provides insights into cellular distribution and functional heterogeneity.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific GEO datasets and cell lines used in the study.

Provenance

Source

Zhenyang Wang via figshare.

Collection Method

Analysis of four GEO datasets, single-cell RNA sequencing data, and experimental validation using PCR, Western blotting, and siRNA knockdown.

Time Range

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Freshness

Last updated 2026-04-15 05:44:40; freshness should be verified.

Geography

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