Stemness Gene Prognostic Model for Esophageal Carcinoma

A prognostic model based on stemness genes for esophageal carcinoma, constructed using bulk and single-cell RNA-seq data. The model includes the gene RBBP7 and predicts patient survival at 1-, 2-, and 3-year intervals. The dataset was authored by Yubing Liu and last updated on 2026-05-19.

Use Cases

• Predicting patient prognosis based on stemness gene signatures described in the study.
• Analyzing crosstalk between prognostic genes and the tumor immune microenvironment using methods like CellChat mentioned in the description.
• Identifying potential therapeutic targets, such as RBBP7, for addressing cancer stemness.
• Validating drug response predictions using the constructed prognostic model.

Strengths

• Model predictions for 1-, 2-, and 3-year survival reportedly outperformed TNM staging.
• The model was constructed using integrated multi-omics methods, including bulk RNA-seq, single-cell RNA-seq, and WGCNA.
• The dataset is openly available under a CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is very small at 9.8 KB, suggesting it likely contains summary results or a model rather than raw omics data.
• Freshness should be verified as the last update date is in the future (2026-05-19).

Provenance

Source

figshare, author Yubing Liu.

Collection Method

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

Freshness

Last updated 2026-05-19 05:44:38.