A novel web-based dynamic prognostic nomogram for gastric signet ring cell carcinoma: a multicenter population-based...

Area of Science:

• Oncology
• Medical Statistics

Background:

• Gastric signet ring cell carcinoma (GSRCC) is a rare, highly malignant gastric cancer subtype.
• GSRCC is associated with a poor prognosis, necessitating improved survival prediction tools.

Purpose of the Study:

• To develop and validate prognostic nomograms for predicting overall survival (OS) and cancer-specific survival (CSS) in GSRCC patients.
• To identify independent prognostic factors for GSRCC.

Main Methods:

• Retrospective cohort study using National Cancer Center and SEER databases (2011-2018).
• Prognostic nomograms constructed using univariate and multivariate Cox regression analyses.
• Model validation through calibration curves, C-index, ROC, and DCA curves; internal and external validation performed.

Main Results:

• Nomograms incorporated six predictors: age, race, tumor site, tumor size, N stage, T stage, and AJCC stage.
• Excellent agreement between internal and external calibration plots.
• C-index and area under ROC curve > 0.7, indicating good predictive accuracy.

Conclusions:

• Web-based dynamic nomograms were developed for estimating OS and CSS in GSRCC patients.
• These tools utilize six independent prognostic variables to aid clinical decision-making.
• Accessible web servers provide a user-friendly platform for applying the nomograms.