Clinical utility of a serum glycome analysis in patients with colorectal cancer

J Gastroenterol Hepatol. 2022 Apr;37(4):727-733. doi: 10.1111/jgh.15781. Epub 2022 Feb 16.

Abstract

Background and aim: Serum glycans are known to be good markers for the early diagnosis and prognostic prediction in many cancers. The aims of this study were to reveal the serum glycan changes comprehensively during the process of carcinogenesis from colorectal adenoma (CRA) to colorectal cancer (CRC) and to evaluate the usefulness of the glycan profiles as clinical markers for CRC.

Methods: Serum samples were obtained from 80 histologically proven CRC and 36 CRA cases. The levels of glycans in the serum were examined with a comprehensive, quantitative, high-throughput unique glycome analysis, and their diagnostic and prognostic abilities were evaluated.

Results: Among 34 stably detected glycans, nine were differentially expressed between CRC and CRA. Serum levels of hybrid type glycans were increased in patients with CRC compared with those with CRA (P < 0.001), and both hybrid-type and multi-antennary glycans were significantly increased in advanced cancer cases. The glycan, m/z 1914, showed the highest diagnostic value among the decreased glycans, whereas m/z 1708 showed the highest among the increased glycans. The glycan ratio m/z 1708/1914 showed a higher area under the receiver operating characteristic curve (0.889) than any other single glycan or conventional tumor marker, such as carcinoembryonic antigen (0.766, P = 0.040) and carbohydrate antigen 19-9 (0.615, P < 0.001). High m/z 1708/1914 was also correlated with an advanced cancer stage and short overall survival.

Conclusion: Serum glycans, especially the m/z 1708/1914 ratio, were useful for the diagnosis, staging, and prognosis prediction of CRC.

Keywords: N-glycan; biomarker; colorectal cancer; diagnosis; predictive marker.

MeSH terms

  • Biomarkers, Tumor*
  • Colorectal Neoplasms* / diagnosis
  • Humans
  • Polysaccharides
  • Prognosis
  • ROC Curve

Substances

  • Biomarkers, Tumor
  • Polysaccharides