Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, China.
Department of Epidemiology, Baotou Medical College, Baotou, China.
Jpn J Clin Oncol. 2024 Feb 7;54(2):129-136. doi: 10.1093/jjco/hyad147.
There is an urgent need for novel biomarkers that are inexpensive, effective and easily accessible to complement the early diagnosis of hepatocellular carcinoma. This study aimed to analyze the relationship between serum gamma-glutamate-transpeptidase to platelet ratio, alkaline phosphatase-to-platelet ratio index, fibrosis index based on four factors and the risk of hepatocellular carcinoma, and to determine the optimal cut-offs for predicting hepatocellular carcinoma.
Based on a prospective cohort study, 44 215 participants who were cancer-free at baseline (2011-13) were included in the study. Cox proportional hazard models and receiver operating characteristics curves were used to analyze the diagnostic value and optimal cut-off value of gamma-glutamyl-transpeptidase to platelet ratio, alkaline phosphatase-to-platelet ratio index and fibrosis index based on four factors in predicting hepatocellular carcinoma patients.
Gamma-glutamyl-transpeptidase to platelet ratio, alkaline phosphatase-to-platelet ratio index and fibrosis index based on four factors can be used as early independent predictors of hepatocellular carcinoma risk. The risk of hepatocellular carcinoma in the fourth quantile of gamma-glutamyl-transpeptidase to platelet ratio and alkaline phosphatase-to-platelet ratio index was 4.04 times (hazard ratio = 4.04, 95% confidence interval: 2.09, 7.80) and 2.59 times (hazard ratio = 2.59, 95% confidence interval: 1.45, 4.61), respectively, compared with the first quantile. With fibrosis index based on four factors first quantile as a reference, fibrosis index based on four factors fourth quantile had the highest risk (hazard ratio = 18.58, 95% confidence interval: 7.55, 45.72). Receiver operating characteristic results showed that fibrosis index based on four factors had a stronger ability to predict the risk of hepatocellular carcinoma (area under curve = 0.81, 95% confidence interval: 0.80, 0.81), and similar results were shown for gender stratification. In the total population, the optimal cut-off values of gamma-glutamyl-transpeptidase to platelet ratio, alkaline phosphatase-to-platelet ratio index and fibrosis index based on four factors were 0.208, 0.629 and 1.942, respectively.
Gamma-glutamyl-transpeptidase to platelet ratio, alkaline phosphatase-to-platelet ratio index and fibrosis index based on four factors were independent predictors of hepatocellular carcinoma risk. Amongst them, fibrosis index based on four factors shows a stronger predictive ability for hepatocellular carcinoma risk, and gamma-glutamyl-transpeptidase to platelet ratio and alkaline phosphatase-to-platelet ratio index can be used as complementary indicators.
急需寻找廉价、有效且易于获取的新型生物标志物,以补充肝细胞癌的早期诊断。本研究旨在分析血清γ-谷氨酰转肽酶与血小板比值、碱性磷酸酶与血小板比值指数、基于四项因素的纤维化指数与肝细胞癌风险之间的关系,并确定预测肝细胞癌的最佳截断值。
基于一项前瞻性队列研究,纳入了基线(2011-2013 年)时无癌症的 44215 名参与者。采用 Cox 比例风险模型和受试者工作特征曲线分析了γ-谷氨酰转肽酶与血小板比值、碱性磷酸酶与血小板比值指数和基于四项因素的纤维化指数在预测肝细胞癌患者中的诊断价值和最佳截断值。
γ-谷氨酰转肽酶与血小板比值、碱性磷酸酶与血小板比值指数和基于四项因素的纤维化指数可用作肝细胞癌风险的早期独立预测因子。与第 1 四分位数相比,γ-谷氨酰转肽酶与血小板比值和碱性磷酸酶与血小板比值指数第 4 四分位数的肝细胞癌风险分别增加 4.04 倍(风险比=4.04,95%置信区间:2.09,7.80)和 2.59 倍(风险比=2.59,95%置信区间:1.45,4.61)。以基于四项因素的纤维化指数第 1 四分位数为参考,基于四项因素的纤维化指数第 4 四分位数的风险最高(风险比=18.58,95%置信区间:7.55,45.72)。受试者工作特征曲线结果表明,基于四项因素的纤维化指数具有更强的预测肝细胞癌风险的能力(曲线下面积=0.81,95%置信区间:0.80,0.81),且性别分层也有类似结果。在总人群中,γ-谷氨酰转肽酶与血小板比值、碱性磷酸酶与血小板比值指数和基于四项因素的纤维化指数的最佳截断值分别为 0.208、0.629 和 1.942。
γ-谷氨酰转肽酶与血小板比值、碱性磷酸酶与血小板比值指数和基于四项因素的纤维化指数是肝细胞癌风险的独立预测因子。其中,基于四项因素的纤维化指数对肝细胞癌风险具有更强的预测能力,γ-谷氨酰转肽酶与血小板比值和碱性磷酸酶与血小板比值指数可作为补充指标。