Early screening, diagnosis and recurrence monitoring of… : Hepatology
N-glycomics-based models for the diagnosis and prognosis of HCC in patients with chronic hepatitis B (CHB)-related cirrhosis. Approach and Results: This study enrolled a total of 397 patients with CHB-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, HCC-GRF and HCC-GSVM, were established for early screening and diagnosis of HCC using N-glycomics. The AUC values in the validation set were 0.967 (95% CI: 0.930-1.000) and 0.908 (0.840-0.976) for HCC-GRF and HCC-GSVM, respectively, outperforming AFP [0.687 (0.575-0.765)] and PIVKA-II [0.665 (0.507-0.823)]. It also showed superiority in subgroups analysis and external validation. Calibration and decision curve analysis also showed good predictive performance. Additionally, we developed a prognostic model, the prog-G model, based on N-glycans to monitor recurrence in HCC patients after curative treatment. During t
