Development and validation of a prognostic model for post-surgical overall survival in Asian colon cancer patients: a real-world population-based study

  • 0Department of Rehabilitation Medicine, Yixing No.2 People's Hospital (Yixing Prevention and Treatment Hospital for Occupational Diseases), Yixing, Jiangsu, China.

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Summary

This summary is machine-generated.

This study identified key factors like age, stage, and treatment affecting Asian colon cancer survival. A new prognostic nomogram model accurately predicts overall survival for personalized patient care.

Area Of Science

  • Oncology
  • Cancer Research
  • Epidemiology

Background

  • Colon cancer remains a significant health concern globally, particularly in Asian populations.
  • Identifying reliable prognostic factors is crucial for effective patient management and treatment strategies.

Purpose Of The Study

  • To determine the key factors influencing postoperative overall survival in Asian patients diagnosed with colon cancer.
  • To develop and validate a prognostic nomogram model for predicting survival outcomes.

Main Methods

  • Utilized data from the SEER database and an external cohort, including 8738 and 73 cases, respectively.
  • Employed univariate and multivariate Cox regression analyses to identify prognostic factors.
  • Developed a nomogram using R software and validated its accuracy and clinical utility using ROC curves, calibration plots, C-index, AUCs, and decision curve analysis.

Main Results

  • Identified significant prognostic factors for overall survival: age, gender, marital status, histological type, grade, AJCC T/N/M stages, CEA levels, and chemotherapy.
  • The nomogram demonstrated strong predictive accuracy with a C-index of 0.775 in the training set, 0.774 in the validation set, and 0.763 in the external cohort.
  • The model exhibited good discrimination and clinical utility across all evaluated datasets.

Conclusions

  • Established independent prognostic factors for postoperative overall survival in Asian colon cancer patients.
  • The developed prognostic nomogram provides an accurate and individualized tool for clinicians to predict survival, aiding in treatment decisions.