Gastric Cancer Tumor Regression Patterns and Nodal Risk After Neoadjuvant Therapy

195 patient records from a study analyzing pathological tumor regression patterns after neoadjuvant or conversion therapy for advanced gastric cancer. The data, authored by Na Li and last updated in April 2026, includes classifications of centripetal, diffuse/mixed, and centrifugal regression patterns and their association with lymph node metastasis (ypN positivity).

Use Cases

• Predicting residual lymph node metastasis (ypN positivity) based on tumor regression patterns.
• Stratifying postoperative nodal-risk for patients after neoadjuvant therapy.
• Building logistic regression models for clinical outcome prediction using pathological characteristics.
• Assessing the incremental predictive value of regression patterns over baseline clinicopathological models.
• Generating hypotheses for future research on individualized lymphadenectomy in gastric cancer.

Strengths

• Includes data from 195 patients, providing a substantial clinical cohort.
• Model performance metrics are reported, including an AUC of 0.875 and a Brier score of 0.137.
• Internal validation was performed using a 7:3 split-sample analysis and 10-fold cross-validation.
• Released under a CC-BY-4.0 license, permitting open use and modification.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a DOCX document, which may require parsing to extract structured data.

Provenance

Source

figshare

Collection Method

Clinical and pathological data from a retrospective study, analyzed using Kruskal–Wallis, χ² tests, and multivariable logistic regression.

Time Range

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Freshness

Last updated 2026-04-13 05:45:58; freshness should be verified.

Geography

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