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Updated: Dec 3, 2025

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Development of prognosis model for colon cancer based on autophagy-related genes

Xu Wang1, Yuanmin Xu1, Ting Li1

  • 1Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, China.

World Journal of Surgical Oncology
|October 31, 2020
PubMed
Abstract

Insights

Autophagy-related genes (ARGs) impact colon cancer prognosis. A risk score derived from 8 ARGs predicts patient survival and aids in personalized colon cancer treatment strategies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Autophagy is a cellular degradation process crucial for various cancers.
  • The role of autophagy-related genes (ARGs) in colon cancer remains understudied.
  • Understanding ARGs is vital for advancing colon cancer research.

Purpose of the Study:

  • To investigate the prognostic significance of autophagy-related genes (ARGs) in colon cancer.
  • To identify key ARGs associated with overall patient survival.
  • To develop a predictive model for colon cancer prognosis.

Main Methods:

  • Utilized TCGA database for ARG expression profiles in 457 colon cancer patients.
  • Identified differentially expressed ARGs and those linked to survival.
  • Employed Cox regression models to analyze ARG associations with prognosis.

Main Results:

  • Twenty ARGs significantly correlated with colon cancer patient survival.
  • A risk score based on 8 ARGs differentiated high-risk from low-risk patients.
  • The risk score, along with clinical factors, independently predicted survival and informed a prognostic nomogram.

Conclusions:

  • Eight specific ARGs serve as reliable predictors for colon cancer patient prognosis.
  • These ARGs provide valuable insights for developing individualized colon cancer treatment plans.
  • A prognostic nomogram incorporating these ARGs enhances clinical decision-making.
Keywords:
Autophagy-related genesColon cancerPrognosis modelTCGA

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