Prognostic value of combined ca19-9 with aspartate aminotransferase to lymphocyte ratio in patients with intrahepatic cholangiocarcinoma after hepatectomy

Abstract

Purpose: The prognosis of intrahepatic cholangiocarcinoma (ICC) patients after surgical resection remains poor. Effective prognostic biomarkers are expected to stratify ICC patients and optimize their treatment strategies. To investigate the prognostic value of carbohydrate antigen 19-9 (CA19-9), aspartate aminotransferase to lymphocyte ratio index (ALRI), and their combination (CAC) in predicting long-term outcomes in ICC patients after hepatectomy. Patients and Methods: ICC patients underwent initial hepatectomy for curative purpose from January 2009 to September 2017 were reviewed retrospectively. Area under the receiver operating characteristics curve (AUC) was used to distinguish the identification effectiveness of three different measures. Kaplan–Meier curves and Cox proportional hazards regression were used to assess the value of preoperative CAC grade in predicting overall survival (OS) and disease-free survival (DFS). Results: A total of 530 patients were included and randomly divided into two groups (derivation cohort and validation cohort). During a median follow-up of 18 months (1– 115.4 months), 317 patients (59.8%) died and 381 patients (71.9%) developed tumor recurrence. Lower ALRI, decreased serum CA19-9 level and CAC grade were found to be associated with better OS and DFS (both P<0.001). Importantly, the AUC for CAC grade was significantly greater than ALRI and CA19-9. In addition, results from Cox proportional hazards regression from both cohorts suggest that tumor number, node invasion, and CAC grade as independent prognostic factors for both OS and DFS. Conclusion: This study demonstrated that CAC grade is a valuable biomarker for the prognosis of ICC patients. Specifically, patients with elevated CAC grades were correlated to worse long-term outcome after the hepatectomy. Our data suggest that increased CAC grades can be used to stratify patients and help to decide their treatment strategies.