Data Sheet 1: Post-Neoadjuvant Risk Stratification in Esophageal Squamous Cell Carcinoma

Wenxin Liang published a clinical research dataset on figshare in 2026. It contains retrospective data from 173 patients with esophageal squamous cell carcinoma (ESCC) treated at Fujian Medical University Union Hospital between 2013 and 2018. The data supports analysis of lymph node regression grade as a prognostic factor for overall and disease-free survival.

Use Cases

• Developing survival prediction models based on lymph node regression grade and pathological factors.
• Training machine learning models to stratify patient risk based on post-neoadjuvant therapy response.
• Validating prognostic nomograms for overall survival and disease-free survival in ESCC patients.
• Analyzing the association between tumor differentiation grade (G2-G3) and clinical outcomes.

Strengths

• Dataset includes 173 patient records with a defined 5-year follow-up period.
• Clinical outcomes are specified, including 5-year overall survival rates of 69.2%, 57.4%, and 24.6% for different patient groups.
• Multivariable analysis results, such as a hazard ratio of 0.38 for lymph-node response status, are provided.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and temporal bias inherent to a single hospital study from 2013-2018.

Provenance

Source

Fujian Medical University Union Hospital

Collection Method

Retrospective review of patient records.

Time Range

2013-2018

Freshness

Last updated 2026-05-13 04:45:14; freshness should be verified.

Geography

China