Abstract |
The prognosis of hepatocellular carcinoma (HCC) varies widely due to variable tumor extent and liver reserve. We aimed to develop and validate a new prognostic model based on tumor burden score (TBS) and albumin- bilirubin (ALBI) grade for HCC. We prospectively identified 3794 HCC patients who were randomized into derivation and validation groups. Survival predictors were evaluated by a multivariate Cox model. The TBS-ALBI system allocated two points for high TBS and ALBI grade 3, and one point each for the presence of ascites, serum α- fetoprotein ≥ 400 ng/mL, vascular invasion or distant metastasis, performance status 2-4, medium TBS, and ALBI grade 2, with a maximal score of 8 points. Significant survival differences were found across different TBS-ALBI score groups in the validation cohort (all p < 0.001). The TBS-ALBI system had the lowest corrected Akaike information criterion (AICc) and the highest homogeneity compared with other proposed staging models. The discriminative ability of the TBS-ALBI system was consistently stable across different viral etiologies, cancer stages, and treatment strategies. Conclusions: This new TBS-ALBI system is a feasible and robust prognostic system in comparison with other systems; it is a user-friendly tool for long-term outcome assessment independent of treatment modality and cancer stage in HCC.
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Authors | Shu-Yein Ho, Po-Hong Liu, Chia-Yang Hsu, Yi-Hsiang Huang, Jia-I Liao, Chien-Wei Su, Ming-Chih Hou, Teh-Ia Huo |
Journal | Cancers
(Cancers (Basel))
Vol. 14
Issue 3
(Jan 27 2022)
ISSN: 2072-6694 [Print] Switzerland |
PMID | 35158917
(Publication Type: Journal Article)
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