Objective: The F-box protein (FBXO) family plays a key role in the malignant progression of tumors. However, the biological functions and clinical value of the FBXO family in liver cancer remain unclear. Our study comprehensively assessed the clinical value of the FBXO family in hepatocellular carcinoma (HCC) and constructed a novel signature based on the FBXO family to predict prognosis and guide precision immunotherapy. Methods: The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases were utilized to investigate the expression characteristics and prognostic value of the FBXO family in HCC. A predictive model based on the FBXO family using TCGA database; and its predictive ability was validated using the ICGC database. Further analyses revealed that this predictive model can independently predict the overall survival (OS) rate of patients with HCC. We further analyzed the association of this predictive model with signaling pathways, clinical pathological features, somatic mutations, and immune therapy responses. Finally, we validated the biological functions of cyclin F (CCNF) through in vitro experiments. Results: A predictive model involving three genes (CCNF, FBXO43, and FBXO45) was constructed, effectively identifying high and low-risk patients with differences in OS, clinicopathological characteristics, somatic mutations, and immune cell infiltration status. Additionally, knock-down of CCNF in HCC cell lines reduced cell proliferation in vitro, suggesting that CCNF may be a potential therapeutic target for HCC. Conclusions: The predictive model based on the FBXO family can effectively predict OS and the immune therapy response in HCC. Additionally, CCNF is a potential therapeutic target for HCC.