TY - JOUR
T1 - Utility of Tumor Burden Score to Stratify Prognosis of Patients with Hepatocellular Cancer: Results of 4759 Cases from ITA.LI.CA Study Group
AU - Vitale, Alessandro
AU - Lai, Quirino
AU - Farinati, Fabio
AU - Bucci, Laura
AU - Giannini, Edoardo G.
AU - Napoli, Lucia
AU - Ciccarese, Francesca
AU - Rapaccini, Gian Lodovico
AU - Di Marco, Maria
AU - Caturelli, Eugenio
AU - Zoli, Marco
AU - Borzio, Franco
AU - Sacco, Rodolfo
AU - Cabibbo, Giuseppe
AU - Virdone, Roberto
AU - Marra, Fabio
AU - Felder, Martina
AU - Morisco, Filomena
AU - Benvegnù, Luisa
AU - Gasbarrini, Antonio
AU - Svegliati-Baroni, Gianluca
AU - Foschi, Francesco Giuseppe
AU - Missale, Gabriele
AU - Masotto, Alberto
AU - Nardone, Gerardo
AU - Colecchia, Antonio
AU - Bernardi, Mauro
AU - Trevisani, Franco
AU - Pawlik, Timothy M.
PY - 2018
Y1 - 2018
N2 - Background: Dichotomous models like Milan Criteria represent the routinely used tools for predicting the outcome of patients with hepatocellular carcinoma (HCC). However, a paradigm shift from a dichotomous to continuous prognostic stratification should represent a good strategy for improving the prediction process. Recently, the tumor burden score (TBS) has been proposed for selecting patients with colorectal liver metastases. To date, TBS has not been validated in a large HCC population. The main objective of this study was to evaluate the prognostic power of TBS in an HCC population treated with different curative and palliative modalities. Methods: Prospectively collected data from consecutive HCC patients managed in 24 institutions participating in the ITA.LI.CA group between Jan 2002 and Mar 2015 were analyzed (n = 4759). A sub-analysis focused on 3909 patients with the radiological evidence of vascular invasion or metastatic disease was also performed. Results: TBS demonstrated the best discriminative ability when compared to MC and other tumor-specific scores. At multivariable Cox regression analysis, TBS was an independent risk factor of overall survival, with a 6% increased risk for patient death for each point increase in TBS. At survival analysis, when TBS â ¥ 8 was connected with MELD â ¥ 15 and alpha-fetoprotein â ¥ 1000 ng/mL, patients presenting all these three risk factors presented the worst results (p value < 0.0001). Conclusions: Survival prediction of HCC patients was very well done using TBS model, even stratifying the population in relation to the presence of metastases and/or vascular invasion. TBS model was the best in terms of discriminatory ability and goodness of fit when compared with other continuous or binary variables. Its incorporation in a model composed by tumor- and liver function-related variables further increases its survival prediction.
AB - Background: Dichotomous models like Milan Criteria represent the routinely used tools for predicting the outcome of patients with hepatocellular carcinoma (HCC). However, a paradigm shift from a dichotomous to continuous prognostic stratification should represent a good strategy for improving the prediction process. Recently, the tumor burden score (TBS) has been proposed for selecting patients with colorectal liver metastases. To date, TBS has not been validated in a large HCC population. The main objective of this study was to evaluate the prognostic power of TBS in an HCC population treated with different curative and palliative modalities. Methods: Prospectively collected data from consecutive HCC patients managed in 24 institutions participating in the ITA.LI.CA group between Jan 2002 and Mar 2015 were analyzed (n = 4759). A sub-analysis focused on 3909 patients with the radiological evidence of vascular invasion or metastatic disease was also performed. Results: TBS demonstrated the best discriminative ability when compared to MC and other tumor-specific scores. At multivariable Cox regression analysis, TBS was an independent risk factor of overall survival, with a 6% increased risk for patient death for each point increase in TBS. At survival analysis, when TBS â ¥ 8 was connected with MELD â ¥ 15 and alpha-fetoprotein â ¥ 1000 ng/mL, patients presenting all these three risk factors presented the worst results (p value < 0.0001). Conclusions: Survival prediction of HCC patients was very well done using TBS model, even stratifying the population in relation to the presence of metastases and/or vascular invasion. TBS model was the best in terms of discriminatory ability and goodness of fit when compared with other continuous or binary variables. Its incorporation in a model composed by tumor- and liver function-related variables further increases its survival prediction.
KW - Hepatocellular carcinoma
KW - Milan Criteria
KW - Outcomes
KW - Prognosis
KW - Tumor burden
KW - Hepatocellular carcinoma
KW - Milan Criteria
KW - Outcomes
KW - Prognosis
KW - Tumor burden
UR - http://hdl.handle.net/10807/112306
UR - http://link.springer.com/journal/volumesandissues/11605
U2 - 10.1007/s11605-018-3688-y
DO - 10.1007/s11605-018-3688-y
M3 - Article
SN - 1091-255X
VL - 22
SP - 859
EP - 871
JO - Journal of Gastrointestinal Surgery
JF - Journal of Gastrointestinal Surgery
ER -