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Updated: Jun 3, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Development of a Prognostic Nomogram for Overall Survival in Gastric Cancer Patients Who Underwent Adjuvant
Melek Tugce Yilmaz1, Pervin Hurmuz2, Osman Dag3
1Department of Radiation Oncology, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Purpose:
The aim of this study was to identify prognostic factors influencing overall survival (OS) in patients with gastric cancer treated with adjuvant chemoradiotherapy (CRT) and to develop a predictive model.
Methods:
We retrospectively evaluated 245 non-metastatic gastric cancer patients who received adjuvant CRT or radiotherapy from 2010 to 2020. Survival analyses were performed using the Kaplan-Meier method. Prognostic factors were identified through univariate and multivariate Cox regression analyses. A nomogram was constructed based on significant predictive factors for OS, including lymph node ratio, T classification, tumor location, and local recurrence.
Results:
The median follow-up duration was 41.5 months (range, 6-144.8 months). The 2- and 5-year OS and progression-free survival were 77% and 53% and 64% and 49%, respectively. In multivariate analysis, tumor location (distal vs. proximal), pT classification (pT1-2 vs. pT3-4), lymph node ratio (< 0.18 vs. ≥ 0.18), and presence of local recurrence were independent prognostic factors for OS. The optimal cut-off value for the total nomogram score predicting OS was 116 points. Patients with < 116 points had 2- and 5-year OS rates of 87% and 73%, respectively, compared to 67% and 30% for those with ≥ 116 points.
Conclusion:
A nomogram was constructed incorporating lymph node ratio, T classification, tumor site, and local recurrence for gastric cancer patients receiving adjuvant CRT. Patients with a total score below 116 demonstrated higher survival rates. This nomogram may aid in defining optimal follow-up intervals.
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