BACKGROUND: Several staging systems have been proposed for hepatocellular carcinoma (HCC); however, none has incorporated circulating angiogenic biomarkers. The purpose of this study was to determine whether vascular endothelial growth factor (VEGF) could independently predict overall survival in patients with HCC, and whether adding VEGF level into the Cancer of the Liver Italian Program (CLIP) score could improve patient stratification and prediction of overall survival. METHODS: Between 2001 and 2008, baseline plasma VEGF levels were available from 288 patients, and multivariate Cox regression models and median survival (95% confidence intervals) were calculated. Recursive partitioning was used to determine the optimal cutpoint for VEGF, using 10 repeated training/validation samples, each using two-thirds of the data to determine the best cutpoint and the remaining one-third to validate it. Prognostic ability of CLIP and V-CLIP was compared using the concordence index. RESULTS: Plasma VEGF was a significant independent predictor of overall survival, with an optimal VEGF cutpoint of 450 pg/mL. After CLIP validation in our patients, we added VEGF to the CLIP score and found that the new V-CLIP score better separates patients into homogenous prognostic groups (P = .005). CONCLUSIONS: The assessment of baseline plasma VEGF levels increases the precision of the CLIP scoring system for predicting HCC prognosis, which may assist in equally randomizing patients with HCC in clinical trials. Prospective validation of the V-CLIP scoring system is warranted.
BACKGROUND: Several staging systems have been proposed for hepatocellular carcinoma (HCC); however, none has incorporated circulating angiogenic biomarkers. The purpose of this study was to determine whether vascular endothelial growth factor (VEGF) could independently predict overall survival in patients with HCC, and whether adding VEGF level into the Cancer of the Liver Italian Program (CLIP) score could improve patient stratification and prediction of overall survival. METHODS: Between 2001 and 2008, baseline plasma VEGF levels were available from 288 patients, and multivariate Cox regression models and median survival (95% confidence intervals) were calculated. Recursive partitioning was used to determine the optimal cutpoint for VEGF, using 10 repeated training/validation samples, each using two-thirds of the data to determine the best cutpoint and the remaining one-third to validate it. Prognostic ability of CLIP and V-CLIP was compared using the concordence index. RESULTS: Plasma VEGF was a significant independent predictor of overall survival, with an optimal VEGF cutpoint of 450 pg/mL. After CLIP validation in our patients, we added VEGF to the CLIP score and found that the new V-CLIP score better separates patients into homogenous prognostic groups (P = .005). CONCLUSIONS: The assessment of baseline plasma VEGF levels increases the precision of the CLIP scoring system for predicting HCC prognosis, which may assist in equally randomizing patients with HCC in clinical trials. Prospective validation of the V-CLIP scoring system is warranted.
Authors: Abby B Siegel; Emil I Cohen; Allyson Ocean; Deborah Lehrer; Alec Goldenberg; Jennifer J Knox; Helen Chen; Sean Clark-Garvey; Alan Weinberg; John Mandeli; Paul Christos; Madhu Mazumdar; Elizabeta Popa; Robert S Brown; Shahin Rafii; Jonathan D Schwartz Journal: J Clin Oncol Date: 2008-06-20 Impact factor: 44.544
Authors: Andrew X Zhu; Dushyant V Sahani; Dan G Duda; Emmanuelle di Tomaso; Marek Ancukiewicz; Onofrio A Catalano; Vivek Sindhwani; Lawrence S Blaszkowsky; Sam S Yoon; Johanna Lahdenranta; Pankaj Bhargava; Jeffrey Meyerhardt; Jeffrey W Clark; Eunice L Kwak; Aram F Hezel; Rebecca Miksad; Thomas A Abrams; Peter C Enzinger; Charles S Fuchs; David P Ryan; Rakesh K Jain Journal: J Clin Oncol Date: 2009-05-26 Impact factor: 44.544
Authors: Josep M Llovet; Sergio Ricci; Vincenzo Mazzaferro; Philip Hilgard; Edward Gane; Jean-Frédéric Blanc; Andre Cosme de Oliveira; Armando Santoro; Jean-Luc Raoul; Alejandro Forner; Myron Schwartz; Camillo Porta; Stefan Zeuzem; Luigi Bolondi; Tim F Greten; Peter R Galle; Jean-François Seitz; Ivan Borbath; Dieter Häussinger; Tom Giannaris; Minghua Shan; Marius Moscovici; Dimitris Voliotis; Jordi Bruix Journal: N Engl J Med Date: 2008-07-24 Impact factor: 91.245
Authors: Ahmed O Kaseb; Neeraj N Shah; Hesham M Hassabo; Jeffrey S Morris; Lianchun Xiao; Yasmin M Abaza; Khalid Soliman; Ju-Seog Lee; Jean-Nicholas Vauthey; Michael Wallace; Thomas A Aloia; Steven Curley; James L Abbruzzese; Manal M Hassan Journal: Oncology Date: 2014-01-08 Impact factor: 2.935
Authors: Javier Tejeda-Maldonado; Ignacio García-Juárez; Jonathan Aguirre-Valadez; Adrián González-Aguirre; Mario Vilatobá-Chapa; Alejandra Armengol-Alonso; Francisco Escobar-Penagos; Aldo Torre; Juan Francisco Sánchez-Ávila; Diego Luis Carrillo-Pérez Journal: World J Hepatol Date: 2015-03-27
Authors: Ahmed O Kaseb; Jeffrey S Morris; Manal M Hassan; Adnan M Siddiqui; E Lin; Lianchun Xiao; Eddie K Abdalla; Jean-Nicolas Vauthey; Thomas A Aloia; Sunil Krishnan; James L Abbruzzese Journal: J Clin Oncol Date: 2011-09-12 Impact factor: 44.544