biostudies-literatureUnknownSu R<h4>Background and aims</h4>HCC poses a significant global health burden, with HBV being the predominant etiology in China. However, current diagnostic markers lack the requisite sensitivity and specificity. This study aims to develop and validate serum N-glycomics-based models for the diagnosis and prognosis of HCC in patients with chronic hepatitis B-related cirrhosis.<h4>Approach and results</h4>This study enrolled a total of 397 patients with chronic hepatitis B-related cirrhosis and HCC for clinical management. N-glycomics profiling was conducted on all participants, and clinical data were collected. First, machine learning-based models, Hepatocellular Carcinoma Glycomics Random Forest model and Hepatocellular Carcinoma Glycomics Support Vector Machine model, were established for earlHepatology (Baltimore, Md.)https://www.ebi.ac.uk/biostudies/studies/S-EPMC12700682biostudies-literatureEarly screening, diagnosis and recurrence monitoring of hepatocellular carcinoma in patients with chronic hepatitis B based on serum N-glycomics analysis: A cohort study.PMC12700682Xu LYan LLi JLiu MChen CCLi PMiao JKuai WLiu YMi YHou JSu RTao XLiu FfalseEarly screening, diagnosis and recurrence monitoring of hepatocellular carcinoma in patients with chronic hepatitis B based on serum N-glycomics analysis: A cohort study.<h4>Background and aims</h4>HCC poses a significant global health burden, with HBV being the predominant etiology in China. However, current diagnostic markers lack the requisite sensitivity and specificity. This study aims to develop and validate serum N-glycomics-based models for the diagnosis and prognosis of HCC in patients with chronic hepatitis B-related cirrhosis.<h4>Approach and results</h4>This study enrolled a total of 397 patients with chronic hepatitis B-related cirrhosis and HCC for clinical management. N-glycomics profiling was conducted on all participants, and clinical data were collected. First, machine learning-based models, Hepatocellular Carcinoma Glycomics Random Forest model and Hepatocellular Carcinoma Glycomics Support Vector Machine model, were established for earl2025-01-01T00:00:00Z2025 Mar2026-06-06T02:03:25.932Z2026-05-24T03:12:18.305ZS-EPMC127006824011765110.1097/HEP.0000000000001316