Abstract: The invention relates to a method for predicting the outcome of a liver transplantation for treatment of hepatocellular carcinoma (HCC), or to a for assigning a HCC patient to receive liver transplantation, comprising the step of determining the expression level of an indicator gene selected from dermatopontin, clusterin, calpain small subunit 1, F-box and WD repeat containing protein 7 and Sprouty RTK signalling antagonist 2 in a liver sample obtained from a patient suffering from HCC, and comparing the indicator gene expression level to the expression level of an internal control gene, which combined with the variable Total Tumor Volume using a linear support vector machine algorithm predicts positive prognosis of liver transplant recipients.