This study employed label-free quantitative proteomics to profile protein expression changes in liver tissues from a mouse hepatocellular carcinoma (HCC) model. A total of 6 samples were analyzed, comprising a model control group (KB, n=3) and a GJK high-dose treatment group (G, n=3). The mass spectrometry data were processed through database searching, followed by systematic bioinformatics analyses including quality control, differential protein screening, Gene Ontology (GO) annotation, KEGG pathway enrichment analysis, Gene Set Enrichment Analysis (GSEA), and protein-protein interaction (PPI) network analysis. This project aims to elucidate the molecular mechanisms underlying the therapeutic effects of GJK in hepatocellular carcinoma and to identify potential protein targets and signaling pathways involved in its anti-tumor activity. The raw mass spectrometry data and search results have been deposited to the iProX partner repository under the ProteomeXchange consortium and are associated with a concurrently submitted research manuscript.