Ontology highlight
ABSTRACT:
SUBMITTER: Feng J
PROVIDER: S-EPMC5609922 | biostudies-literature | 2017 Sep
REPOSITORIES: biostudies-literature
Feng Jiliang J Chen Junmei J Zhu Ruidong R Yu Lu L Zhang Yan Y Feng Dezhao D Kong Heli H Song Chenzhao C Xia Hui H Wu Jushan J Zhao Dawei D
Oncotarget 20170628 38
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 ...[more]