ABSTRACT
BACKGROUND AND OBJECTIVE: Sorafenib is recommended for treating advanced hepatocellular carcinoma. However, it is frequently discontinued because of adverse events, which greatly affects its therapeutic effects. Furthermore, because patients treated with sorafenib for a long period can presumably tolerate adverse events, this study aimed to identify their characteristics and analyze factors affecting the therapeutic effects of the drug. SUBJECTS AND METHODS: Seventeen patients with hepatocellular carcinoma who received sorafenib for 12 months or longer at our hospital between January 2009 and October 2015 were included. In these 17 patients, factors affecting the time to untreatable progression were analyzed using a Cox proportional hazards model, Kaplan-Meier curve, and log-rank test. RESULTS: In the 17 patients, the mean sorafenib dose was 433 mg/day. The drug was discontinued in 12 patients, 9 (75%) of whom discontinued it because of progressive disease. The median time to untreatable progression was 23.1 months. The contributors to favorable therapeutic effects included administration of at least two sessions of concomitant therapy after initiating sorafenib therapy, a low neutrophil-to-lymphocyte ratio, and a decreased total bilirubin level. CONCLUSION: Achieving favorable therapeutic effects of sorafenib requires strict dose adjustment that allows better control of adverse events and long-term administration of the drug. Furthermore, combining sorafenib with other therapies, a low neutrophil-to-lymphocyte ratio, and a decreased total bilirubin level are useful predictors of favorable effects.
ABSTRACT
BACKGROUND: To determine whether response to transarterial chemoembolization (TACE) predicts survival and to identify pretreatment factors associated with TACE response and prognosis. METHODS: Between April and September 2010, 50 patients underwent TACE for hepatocellular carcinoma. Response to TACE was assessed using post-treatment computed tomography (CT) and magnetic resonance imaging (MRI) scans and tumor marker levels and classified as Response Poor (P) and Non-poor (NP). Time zero was set to September 30, 2010, and survival rates were analyzed by landmarking. Cumulative survival rates were calculated using the Kaplan-Meier method and compared according to grades using the log-rank test; contributing factors to survival were analyzed using a Cox proportional hazards model. Pretreatment factors were analyzed for 109 TACE sessions performed until October 2017, using a multiple logistic regression model. Receiver operating characteristic (ROC) curves were generated to determine the best tumor number for predicting response P. RESULTS: Response P patients showed significantly lower cumulative survival rates than Response NP patients (P < 0.001). On multivariate analysis, tumor number (hazard ratio (HR), 1.475), protein-induced vitamin-K absence-II (HR, 4.539), and the number of previous TACE sessions (HR, 1.472) were identified as pretreatment factors contributing to Response P. Further, pre-treatment platelet count (HR, 0.876) and tumor number (HR, 1.330) were factors contributing to survival in multivariate analysis. ROC curve analysis revealed that the optimal cut-off value to discriminate Response P was 7.5. CONCLUSIONS: Response to TACE can predict survival. Pretreatment tumor number is a useful factor for predicting both TACE response and prognosis.
