Stemness Signature Model for Esophageal Cancer Prognosis and Drug Response

A prognostic model based on stemness genes for esophageal carcinoma, constructed from integrated multi-omics research. The model includes the gene RBBP7 and predicts patient survival and drug response. The dataset is a 2.3 MB document authored by Yubing Liu and last updated in May 2026.

Use Cases

• Construct prognostic models for esophageal cancer based on stemness gene signatures.
• Predict patient survival and drug response based on the described multi-omics model.
• Analyze the relationship between stemness genes and immune microenvironment infiltration.
• Validate the role of specific model genes like RBBP7 in tumor cell stemness.
• Compare prognostic accuracy of the stemness model against TNM staging systems.

Strengths

• Model predictions for 1-, 2-, and 3-year survival reportedly outperform TNM staging.
• Analysis integrates bulk RNA-seq and single-cell RNA-seq data.
• The dataset is openly licensed under CC-BY-4.0.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a 2.3 MB DOCX document, which may require conversion for analysis.

Provenance

Source

figshare

Collection Method

Integrated multi-omics analysis using bulk RNA-seq, single-cell RNA-seq, WGCNA, Cox regression, LASSO, and CellChat.

Freshness

Last updated 2026-05-19 05:44:39; freshness should be verified.