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Survival analysis and prediction of early-onset colorectal cancer patients post-chemotherapy: an analysis based on the SEER database

  • 0Department of General Surgery, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121000, China.
International Journal of Colorectal Disease +

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March 22, 2025

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March 22, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study identified key prognostic factors for early-onset colorectal cancer (EOCRC) patients undergoing chemotherapy. A Nomogram model was developed to predict survival, aiding personalized treatment and follow-up strategies for EOCRC.

Area Of Science

  • Oncology
  • Cancer Research
  • Biostatistics

Background

  • Rising incidence of early-onset colorectal cancer (EOCRC) necessitates research into prognostic factors.
  • Limited systematic studies exist on predicting long-term survival for EOCRC patients post-chemotherapy.

Purpose Of The Study

  • Identify critical prognostic factors for EOCRC patients receiving postoperative chemotherapy.
  • Develop a Nomogram model for predicting survival in EOCRC patients.

Main Methods

  • Utilized SEER database (2010-2015) for EOCRC patients undergoing postoperative chemotherapy.
  • Performed univariate and multivariate Cox regression analyses to identify independent risk factors.
  • Developed and validated a Nomogram model using C-index, calibration curves, ROC curves, and DCA.

Main Results

  • Identified prognostic factors: gender, race, marital status, tumor location, histology, TNM stage, CEA, and metastasis (bone, liver, lung).
  • Nomogram model showed robust discriminative ability (C-index: 0.76) and consistency across training and validation groups.
  • Model demonstrated strong predictive accuracy for 1, 3, and 5-year overall survival (OS) with high AUC values and good calibration.

Conclusions

  • Systematically evaluated prognostic risk factors for EOCRC patients on postoperative chemotherapy.
  • Developed a validated Nomogram-based survival prediction tool for EOCRC.
  • The Nomogram provides a scientific basis for individualized treatment and follow-up strategies.

Keywords:

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