Stemness Gene Prognostic Model for Esophageal Carcinoma with RBBP7 Analysis

A 20.3 KB Excel file contains a stemness gene prognostic model for esophageal carcinoma, constructed via multi-omics analysis. The model, which includes the key gene RBBP7, predicts patient survival at 1-, 2-, and 3-year intervals and is associated with reshaping the tumor immune microenvironment. The dataset was authored by Yubing Liu and last updated on 2026-05-19.

Use Cases

• Predicting patient prognosis based on the described stemness gene signature.
• Analyzing the relationship between stemness genes and immune cell infiltration, such as T follicular helper cells.
• Investigating the role of the model gene RBBP7 in tumor cell stemness and therapy resistance.
• Validating drug response predictions using the constructed prognostic model.

Strengths

• Model predictions for 1-, 2-, and 3-year survival are described as outperforming TNM staging.
• The dataset is derived from integrated multi-omics research, including bulk RNA-seq and single-cell RNA-seq analysis.
• The model is validated through multiple experiments as mentioned in the description.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The dataset is small at 20.3 KB, indicating limited scope, likely containing summary model results rather than raw data.

Provenance

Source

figshare

Collection Method

Constructed via integrated multi-omics analysis, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), Weighted Gene Co-expression Network Analysis (WGCNA), Cox regression, and LASSO analysis.

Freshness

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