Prediction of early recurrence of hepatocellular carcinoma within the Milan criteria after radical resection

Abstract

// Jiliang Feng 1, * , Junmei Chen 2, * , Ruidong Zhu 3 , Lu Yu 1 , Yan Zhang 1 , Dezhao Feng 4 , Heli Kong 1 , Chenzhao Song 1 , Hui Xia 5 , Jushan Wu 3 and Dawei Zhao 6 1 Clinical-Pathology Center, Beijing You-An Hospital, Capital Medical University, Beijing, China 2 Medical Laboratory Center, Beijing You-An Hospital, Capital Medical University, Beijing, China 3 Surgical Center, Beijing You-An Hospital, Capital Medical University, Beijing, China 4 College of Life Science, Sichuan University, Chengdu, China 5 Surgical Center, The 304th Hospital of PLA, Beijing, China 6 Medical Imaging Department, Beijing You-An Hospital, Capital Medical University, Beijing, China * These authors have contributed equally to this work Correspondence to: Jiliang Feng, email: [e-mail] Dawei Zhao, email: [e-mail] Keywords: hepatocellular carcinoma, Milan criteria, radical resection, cytokeratin 19, glypican 3 Received: September 22, 2016      Accepted: June 02, 2017      Published: June 28, 2017 ABSTRACT Approximately 50% hepatocellular carcinoma patients meeting the Milan criteria utilized to develop an improved prognostic model for predicting the recurrence in these patients. Using univariate and multivariate analysis, cytokeratin-19 and glypican-3 expression patterns, tumor number and histological grading from eight putative prognostic factors comprised the risk factor scoring model to predict the tumor recurrence. In the training cohort, the area under roc curve (AUC) value of the model was 0.715 [95% confidence interval (CI) = 0.645−0.786, P