乙型肝炎相关性肝细胞癌枢纽基因及靶向药物的筛选OA

According to statistics from the National Cancer Center of China,hepatocellular carcinoma(HCC)ranks fourth in incidence and second in mortality among all malignant tumors in China.Patients with hepatitis B virus(HBV)infection are classified as a high-risk population for HCC;however,the pathogenesis of HBV-related HCC remains in-completely understood.Elucidating the underlying mechanisms and identifying effective targeted agents are of great sig-nificance for the diagnosis and treatment of this disease.In this study,bioinformatics approaches were employed to screen key targets associated with HBV-related HCC,and reverse network pharmacology analysis was subsequently ap-plied to predict potential therapeutic drugs corresponding to these targets,to provide a bioinformatics-based theoretical foundation for personalized and precision treatment of HBV-related HCC patients.