Preoperative alpha fetoprotein, total bilirubin, fibrinogen, albumin, and lymphocytes predict postoperative survival in hepatocellular carcinoma

作者：Jia Xu, Shu An, Ying Lü, Laisheng Li, Zhi‐Qi Wu, Hua‐Guo Xu · 发表于：Cancer Medicine · 年份：2023 · DOI：10.1002/cam4.6030 · 被引用次数：9 · 研究领域：Hepatocellular Carcinoma Treatment and Prognosis、Inflammatory Biomarkers in Disease Prognosis、Cholangiocarcinoma and Gallbladder Cancer Studies

AIMS: Our study focused on exploring the feasible prognostic laboratory parameters of HCC and establishing a score model to estimate individualized overall survival (OS) in HCC after resection. METHODS: Four hundred and sixty-one patients with HCC who underwent hepatectomy between January 2010 and December 2017 was enrolled in this investigation. Cox proportional hazards model was conducted to analyze the prognostic value of laboratory parameters. The score model construction was based on the forest plot results. Overall survival was evaluated by Kaplan-Meier method and the log-rank test. The novel score model was validated in an external validation cohort from a different medical institution. RESULTS: We identified that alpha fetoprotein (AFP), total bilirubin (TB), fibrinogen (FIB), albumin (ALB), and lymphocyte (LY) were independent prognostic factors. High AFP, TB, FIB (HR > 1, p < 0.05), and low ALB, LY (HR < 1, p < 0.05) were associated with the survival of HCC. The novel score model of OS based on these five independent prognostic factors achieved high C-index of 0.773 (95% confidence interval [CI]: 0.738-0.808), which was significantly higher than those of the single five independent factors (0.572-0.738). The score model was validated in the external cohort whose C-index was 0.7268 (95% CI: 0.6744-0.7792). CONCLUSION: The novel score model we established was an easy-to-use tool which could enable individualized estimation of OS in patients with HCC who underwent cura...