KEGG pathway enrichment showed that the first cluster was mainly metabolism-related pathways, and since the previous machine learning results showed that CYP3A4 was an important feature-contributing gene in the hepatocellular carcinoma diagnostic model, we expanded the p adjust value to 0.56 to include linoleic acid metabolism (LAM) containing CYP3A4 as a pathway of interest, in addition to some pathways of metabolism, PPAR signaling pathway, and terpenoid backbone biosynthesis. The gene discussed is PPARA; the disease is hepatocellular carcinoma.