Stemness Signature Model for Esophageal Cancer Prognosis

A 9.5 KB Excel file published on figshare in May 2026 by Yubing Liu. It contains data supporting a prognostic model for esophageal carcinoma based on stemness genes. The model predicts 1-, 2-, and 3-year survival and identifies RBBP7 as a key prognostic factor influencing the tumor microenvironment.

Use Cases

• Predict patient prognosis based on stemness gene signatures mentioned in the description
• Analyze the relationship between stemness genes and immune cell infiltration, as described for RBBP7
• Validate drug response predictions using the constructed prognostic model
• Compare prognostic accuracy of the stemness model against TNM staging systems

Strengths

• Model predictions for 1-, 2-, and 3-year survival are explicitly mentioned
• Data is derived from integrated multi-omics research, including bulk RNA-seq and single-cell RNA-seq
• License is clearly stated as CC-BY-4.0

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

figshare

Collection Method

Integrated multi-omics analysis of bulk and single-cell RNA-seq data, Cox regression, LASSO analysis, and experimental validation.

Freshness

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