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Dataset Information

Development and validation of a new staging system for node-negative gastric cancer based on recursive partitioning analysis: An international multi-institutional study.


ABSTRACT:

Background

Whether the tumor-node-metastasis (TNM) staging system is appropriate for patients with node-negative gastric cancer (GC) is still inconclusive. The modified staging system developed by recursive partitioning analysis (RPA) showed good prognostic performance in a variety of cancers. The application of RPA has not been reported in the prognostic prediction of GC.

Methods

Node-negative GC patients who underwent radical resection at Fujian Medical University Union Hospital (n = 862) and Sun Yat-sen University Cancer Center (n = 311) with at least 5 years of follow-up were selected as the training set. RPA was used to develop a modified staging system. Patients from the Surveillance, Epidemiology, and End Results database (n = 1415) were selected as the validation set

SUBMITTER: Lin JX 

PROVIDER: S-EPMC6558615 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature