Glycosylation gene expression profiles enable prognosis prediction for colorectal cancer

Sci Rep. 2025 Jan 4;15(1):798. doi: 10.1038/s41598-024-84300-8.

Abstract

This study developed a prognostic model for patients with colon adenocarcinoma (COAD) based on glycosylation-associated genes. By analyzing TCGA-COAD data, 110 key genes were identified, and a prognostic model incorporating five glycosylation-related genes was constructed. The model exhibits good predictive performance and is significantly associated with clinical features such as age, N stage, M stage, and lymph node count. The prognostic genes are involved in various biological processes and pathways, influence T cell differentiation, and may contribute to CRC development. High-risk patients show a higher degree of immune cell infiltration. This model aids in the early diagnosis, prognosis assessment, and treatment planning for CRC, and offers a direction for further research.

Keywords: Bio-informatics; Colon cancer; Prognostic; Single cell.

MeSH terms

  • Adenocarcinoma / genetics
  • Adenocarcinoma / pathology
  • Aged
  • Biomarkers, Tumor / genetics
  • Colorectal Neoplasms* / diagnosis
  • Colorectal Neoplasms* / genetics
  • Colorectal Neoplasms* / mortality
  • Colorectal Neoplasms* / pathology
  • Female
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic
  • Glycosylation
  • Humans
  • Male
  • Middle Aged
  • Prognosis
  • Transcriptome

Substances

  • Biomarkers, Tumor