Yusuf Acikgoz1, Oznur Bal1, Mutlu Dogan2. 1. From the Department of Medical Oncology, Health Science University, Ankara City Hospital. 2. Department of Medical Oncology, Ankara Dr AY Oncology Training and Research Hospital, Ankara, Turkey.
Abstract
OBJECTIVES: Neuroendocrine tumors (NETs) are very heterogeneous tumors. This study aimed to evaluate prognostic value of an albumin-to-alkaline phosphatase (ALP) ratio (AAPR) in well-differentiated NETs. METHODS: A total of 110 patients were included in this study. Albumin-to-alkaline phosphatase ratio was calculated by dividing albumin concentration (g/dL) to ALP level (U/L). Cutoff value for AAPR was determined by receiver operating characteristic analysis. Survival analysis was performed by Kaplan-Meier method with the log-rank test. A P value of less than 0.05 was considered statistically significant. RESULTS: The optimum cutoff value for AAPR was 0.028. Patients were divided into 2 groups as patients with AAPR of 0.028 or less (n = 22, 20%) and with AAPR of greater than 0.028 (n = 88, 80%). Patients with AAPR of greater than 0.028 had statistically longer overall survival compared with patients with 0.028 or less (not reached vs 96.8 months, P = 0.001). In addition, AAPR has been shown to be an independent prognostic factor for overall survival in multivariate analysis (hazard ratio, 3.99; 95% confidence interval, 1.26-12.61, P = 0.018). CONCLUSIONS: Patients with higher AAPR had more favorable prognosis compared with patients with lower AAPR. We demonstrated that AAPR can be of prognostic value in well-differentiated NETs.
OBJECTIVES: Neuroendocrine tumors (NETs) are very heterogeneous tumors. This study aimed to evaluate prognostic value of an albumin-to-alkaline phosphatase (ALP) ratio (AAPR) in well-differentiated NETs. METHODS: A total of 110 patients were included in this study. Albumin-to-alkaline phosphatase ratio was calculated by dividing albumin concentration (g/dL) to ALP level (U/L). Cutoff value for AAPR was determined by receiver operating characteristic analysis. Survival analysis was performed by Kaplan-Meier method with the log-rank test. A P value of less than 0.05 was considered statistically significant. RESULTS: The optimum cutoff value for AAPR was 0.028. Patients were divided into 2 groups as patients with AAPR of 0.028 or less (n = 22, 20%) and with AAPR of greater than 0.028 (n = 88, 80%). Patients with AAPR of greater than 0.028 had statistically longer overall survival compared with patients with 0.028 or less (not reached vs 96.8 months, P = 0.001). In addition, AAPR has been shown to be an independent prognostic factor for overall survival in multivariate analysis (hazard ratio, 3.99; 95% confidence interval, 1.26-12.61, P = 0.018). CONCLUSIONS: Patients with higher AAPR had more favorable prognosis compared with patients with lower AAPR. We demonstrated that AAPR can be of prognostic value in well-differentiated NETs.