Abstract:
Objective The mainstay treatment for colon cancer is surgical resection. However, factors associated with post-surgical mortality are poorly understood. We sought to characterize the determinants of survival in a large cohort of patients with colon cancer.
Methods Patients with colon adenocarcinoma who underwent surgery were selected from the Surveillance, Epidemiology, and End Results (SEER) database for model construction, and an independent Chinese cohort was selected for external validation.
Results Significant factors identified through multivariate Cox regression analysis were incorporated into the nomogram. Discrimination and calibration were evaluated using a relative index. Based on the nomogram, we performed a recursive partitioning analysis (RPA) for risk stratification.
Conclusions The nomogram provided clear prognostic superiority over the traditional tumor- node- metastasis (TNM) system. RPA based on a clinical nomogram is suitable for risk stratification of long-term survival. This system could help clinicians make individual survival predictions for patients with colon cancer and help provide necessary treatment recommendations.