Additionally, recent GEO database-driven analyses have highlighted promising molecular targets in HCC, including hub genes identified through integrative differential expression, functional association, and protein–protein interaction studies (10), as well as CDT1 revealed by TCGA/GEO-based machine learning model in non-alcoholic fatty liver disease (NAFLD)-related HCC progression (11). The gene discussed is CDT1; the disease is metabolic dysfunction-associated steatotic liver disease.