Stemness Signature RBBP7 for Esophageal Cancer Prognosis and Immune Microenvironment

A prognostic model for esophageal carcinoma based on stemness gene signatures. The dataset was created by Yubing Liu and last updated on May 19, 2026. It likely contains results from multi-omics analyses, including bulk and single-cell RNA-seq, used to construct and validate the model.

Use Cases

• Constructing prognostic models for esophageal cancer based on identified stemness genes.
• Analyzing crosstalk between prognostic genes and the tumor microenvironment based on CellChat analysis.
• Predicting patient drug response based on the stemness gene prognostic model.
• Investigating the role of specific genes like RBBP7 in tumor cell stemness and immune cell infiltration.

Strengths

• Model predictions for 1-, 2-, and 3-year survival reportedly outperform TNM staging.
• Analysis integrates multiple data types, including bulk RNA-seq and single-cell RNA-seq.

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 research, including bulk RNA-seq, single-cell RNA-seq, Cox regression, LASSO analysis, and experimental validation.

Freshness

Last updated 2026-05-19 05:44:38; freshness should be verified.