Dataset Information


Proposal for a New TNM Stage based on the 7th and 8th American Joint Committee on Cancer pTNM Staging Classification for Gastric Cancer.

ABSTRACT: Background: The 8th edition of the American Joint Committee on Cancer (AJCC) staging system for gastric cancer incorporated several new changes. We aimed to assess the comparative prognostic values of the 7th and 8th AJCC pTNM staging systems in patients with gastric cancer (GC), and accordingly, to put forward a refined staging classification. Methods: The SEER database was queried to identify GC patients between 2004 and 2009. GC patients from Sun Yat-sen University Cancer Center (SYSUCC) were used as external validation data. The Kaplan-Meier method and Cox proportional hazards regression models were used to analyze cause-specific survival (CSS). The prognostic performance of different staging schemes was assessed using the concordance index (c-index), Akaike's information criterion (AIC), and likelihood ratio ?2 test. Results: In the SEER cohort, stage migration occurred in 8.74% of patients. Survival analysis showed that it was better to treat T4bN0M0 + T4aN2M0 as stage IIIB and T4bN3bM0 as stage IV. Based on this, we established a new staging system which exhibited a superior c-index (0.7501) to the 7th and 8th AJCC staging systems (0.7498 and 0.7500, respectively). The new staging system also outperformed the 7th and 8th AJCC staging systems in terms of AIC and the likelihood ratio ?2 test. The predictive superiority of the new staging system remained valid in the SYSUCC database. Conclusions: We demonstrated that some stage modifications in the 8th AJCC pathologic staging were unnecessary. Therefore we established a new staging system, which was superior to the 7th and 8th staging systems.


PROVIDER: S-EPMC6171027 | BioStudies | 2018-01-01

REPOSITORIES: biostudies

Similar Datasets

2020-01-01 | S-EPMC6945658 | BioStudies
1000-01-01 | S-EPMC6354565 | BioStudies
2019-01-01 | S-EPMC6558615 | BioStudies
2018-01-01 | S-EPMC6131514 | BioStudies
2017-01-01 | S-EPMC5610217 | BioStudies
1000-01-01 | S-EPMC3859943 | BioStudies
1000-01-01 | S-EPMC5838705 | BioStudies
2020-01-01 | S-EPMC7150461 | BioStudies
2017-01-01 | S-EPMC5462738 | BioStudies
2020-01-01 | S-EPMC7461987 | BioStudies