Multi-omics integrated analysis identifies key biomarkers for hepatocellular carcinoma.

ABSTRACT: Due to the high malignancy of hepatocellular carcinoma and the fact that <20% of patients can be diagnosed in the early stages, the postoperative recurrence rate for advanced or metastatic liver cancer patients can reach up to 70%, with a 5-year survival rate of <10%. We attempt to explore new and effective biomarkers for hepatocellular carcinoma and analyze them in conjunction with multiple omics approaches. Therefore, in order to explore the key etiological factors of hepatocellular carcinoma and new treatment methods, we utilized various approaches, including transcriptome-wide association studies, summary data-based Mendelian randomization analysis, weighted correlation network analysis, machine learning, spatial transcriptomics, molecular docking, virtual screening, and phenome-wide a

SUBMITTER: Xiong T 

PROVIDER: S-EPMC12459559 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature