Appraisal of a Model to Estimate Survival in Ambulatory Patients with Hepatocellular Carcinoma Classified as Barcelona Clinic Liver Cancer Stage B

BACKGROUND/AIMS: Patients with an intermediate stage of hepatocellular carcinoma (HCC) represent a highly heterogeneous population; therefore, many models have been proposed to predict the survival of these patients. The aim of this study was to evaluate the prognostic performance of a novel subclassification for tumors classified as Barcelona Clinic Liver Cancer (BCLC) stage B using the Model to Estimate Survival in Ambulatory HCC patients (MESIAH). METHODS: This analysis was based on 377 patients with HCC treated at Seoul National University Hospital (training cohort) and 189 patients at the Soonchunhyang University Bucheon Hospital (validation cohort). Four subclassification systems were tested: MESIAH; original BCLC B subclassification (B1, B2, B3, and B4); modified model A (B1, B2, and B3+B4); and modified model B (B1, B2+B3, and B4). RESULTS: Median survival progressively decreased from stage B1 through stages B2 to B3 according to the new MESIAH subclassification (p<0.001). Moreover, significantly different survival among contiguous stages was observed. In the multivariable Cox regression, the MESIAH subclassification was an independent predictor of overall survival (p<0.001). In terms of discrimination and calibration, MESIAH performed better than the original BCLC B subclassification, modified model A and modified model B. CONCLUSIONS: The MESIAH model would be an effective tool for stratifying heterogeneous BCLC stage B cancer, and the ability of this model to predict survival is better than that of the other previously proposed models.