{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Su R"],"pubmed_abstract":["<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 earl"],"journal":["Hepatology (Baltimore, Md.)"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12700682"],"repository":["biostudies-literature"],"pubmed_title":["Early screening, diagnosis and recurrence monitoring of hepatocellular carcinoma in patients with chronic hepatitis B based on serum N-glycomics analysis: A cohort study."],"pmcid":["PMC12700682"],"pubmed_authors":["Xu L","Yan L","Li J","Liu M","Chen CC","Li P","Miao J","Kuai W","Liu Y","Mi Y","Hou J","Su R","Tao X","Liu F"],"additional_accession":[]},"is_claimable":false,"name":"Early screening, diagnosis and recurrence monitoring of hepatocellular carcinoma in patients with chronic hepatitis B based on serum N-glycomics analysis: A cohort study.","description":"<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 earl","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Mar","modification":"2026-06-06T02:03:25.932Z","creation":"2026-05-24T03:12:18.305Z"},"accession":"S-EPMC12700682","cross_references":{"pubmed":["40117651"],"doi":["10.1097/HEP.0000000000001316"]}}