Multi-omics integration and machine learning define robust molecular subtypes and prognostic signatures in hepatocellular carcinoma

This study provides a refined molecular classification of HCC through integrative multi-omics analysis and establishes a machine learning-driven prognostic model with potential utility in early prognosis prediction and immunotherapy stratification. The dual-dimensional single-cell and spatial transcriptomic analyses further illuminate the cellular and spatial features associated with key prognostic genes. Prospective clinical validation is required to confirm the model's predictive performance.