Albumin-to-Alkaline Phosphatase Ratio as an Independent Prognostic Factor for Overall Survival of Advanced Hepatocellular Carcinoma Patients without Receiving Standard Anti-Cancer Therapies

Citations Over TimeTop 10% of 2017 papers

Abstract

Background Albumin-to-Alkaline Phosphatase Ratio (ALB/ALP ratio, AAPR), a newly developed index of liver function, has been rarely discussed about its prognostic value in malignancies. The current study attempted to evaluate the prognostic prediction of AAPR in advanced HCC. Methods 237 advanced HCC patients who refused any standard anti-cancer therapies were retrospectively analyzed. The threshold value of AAPR was determined by receiver operating characteristic (ROC) curve. Univariate analyses using Kaplan-Meier method and log-rank test, and multivariate analysis using Cox proportional hazards regression model were conducted. Comparisons of ROC curves and likelihood ratio test (LRT) were utilized to compare the value of different factors in predicting survival. Results ROC curve analysis confirmed 0.38 as the optimal cutoff value of AAPR in evaluating overall survival (OS). Patients with an AAPR > 0.38 exhibited significantly lower frequencies of ascites, portal vein tumor thrombus, Child-Pugh grade B & C, and KPS P P HR = 0.592, P = 0.007). Furthermore, we integrated AAPR with TNM system and found that area under curve of AAPR-TNM system was significantly larger than that of TNM system when predicting 3-month survival (0.670 vs 0.611, P 2 (26.4 vs 16.4, P P Conclusions Our study implied that AAPR was a potentially valuable prognostic index for advanced HCC patients without receiving any standard anti-cancer therapies. AAPR-TNM system preceded TNM system in predicting overall survival in this study.

Related Papers

• → Outliers in multivariate time series(2000)166 cited
• → Theory and practice of multivariate arma forecasting(1984)41 cited
• → MULTIVARIATE TREND TESTING OF LAKE WATER QUALITY1(1991)35 cited
• → Comparing multivariate and univariate subject-specific reference regions for blood constituents in healthy persons.(1982)19 cited
• → A multivariate approach to a specific problem of grouping maize cultivars(1990)5 cited