CRAFITY score benefits hepatocellular carcinoma patients treated with transarterial chemoembolization and lenvatinib.

ABSTRACT

BACKGROUND: The CRAFITY score serves as a simple and effective predictive model for individuals diagnosed with hepatocellular carcinoma (HCC) and subjected to treatment with atezolizumab and bevacizumab (Atez/Bev). However, no large sample size studies have reported the application of the CRAFITY score among HCC patients undergoing transarterial chemoembolization (TACE) in conjunction with lenvatinib. This research aims to assess the prognostic role of the CRAFITY score in the context of individuals with HCC receiving TACE in combination with lenvatinib. METHODS: This retrospective analysis encompassed 314 individuals diagnosed with HCC who underwent the combination of TACE and lenvatinib at two medical facilities in China from August 2019 to August 2022 (comprising a training cohort of n = 172 and a validation cohort of n = 142). We investigated the prognostic values of overall survival (OS), progression-free survival (PFS), disease control rate, and objective response rate in the training cohort based on the CRAFITY scores. Furthermore, the predictive capacity of the model was corroborated through validation using an external cohort. RESULTS: We included 174 and 142 patients treated with TACE plus lenvatinib in the training and validation cohorts, correspondingly. PFS and OS differed across all three groups in all training and validation cohorts, based on the CRAFITY score (p < 0.001). In both cohorts, the CRAFITY score effectively predicted tumor response (p < 0.001). Moreover, among the 121 patients who received TACE, lenvatinib, and immunotherapy, the CRAFITY score showed promising predictive efficacy in PFS and OS. CONCLUSIONS: The CRAFITY score, utilizing C-reactive protein and alpha-fetoprotein values, emerges as a dependable and pragmatic instrument for forecasting the effectiveness of TACE plus lenvatinib in individuals with unresectable HCC. This scoring system holds the potential to assist oncologists in making informed clinical decisions.