Literature DB >> 27259100

Proposal and validation of a new model to estimate survival for hepatocellular carcinoma patients.

Po-Hong Liu1, Chia-Yang Hsu2, Cheng-Yuan Hsia3, Yun-Hsuan Lee1, Yi-Hsiang Huang4, Chien-Wei Su1, Fa-Yauh Lee1, Han-Chieh Lin1, Teh-Ia Huo5.   

Abstract

BACKGROUND AND AIMS: The survival of hepatocellular carcinoma (HCC) patients is heterogeneous. We aim to develop and validate a simple prognostic model to estimate survival for HCC patients (MESH score).
METHODS: A total of 3182 patients were randomised into derivation and validation cohort. Multivariate analysis was used to identify independent predictors of survival in the derivation cohort. The validation cohort was employed to examine the prognostic capabilities.
RESULTS: The MESH score allocated 1 point for each of the following parameters: large tumour (beyond Milan criteria), presence of vascular invasion or metastasis, Child-Turcotte-Pugh score ≥6, performance status ≥2, serum alpha-fetoprotein level ≥20 ng/ml, and serum alkaline phosphatase ≥200 IU/L, with a maximal of 6 points. In the validation cohort, significant survival differences were found across all MESH scores from 0 to 6 (all p < 0.01). The MESH system was associated with the highest homogeneity and lowest corrected Akaike information criterion compared with Barcelona Clínic Liver Cancer, Hong Kong Liver Cancer (HKLC), Cancer of the Liver Italian Program, Taipei Integrated Scoring and model to estimate survival in ambulatory HCC Patients systems. The prognostic accuracy of the MESH scores remained constant in patients with hepatitis B- or hepatitis C-related HCC. The MESH score can also discriminate survival for patients from early to advanced stages of HCC.
CONCLUSIONS: This newly proposed simple and accurate survival model provides enhanced prognostic accuracy for HCC. The MESH system is a useful supplement to the BCLC and HKLC classification schemes in refining treatment strategies.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Hepatocellular carcinoma; Prognosis; Staging system; Treatment strategy

Mesh:

Substances:

Year:  2016        PMID: 27259100     DOI: 10.1016/j.ejca.2016.04.023

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  19 in total

1.  Predictors of five-year survival among patients with hepatocellular carcinoma in the United States: an analysis of SEER-Medicare.

Authors:  Xiaotao Zhang; Hashem B El-Serag; Aaron P Thrift
Journal:  Cancer Causes Control       Date:  2021-01-04       Impact factor: 2.506

Review 2.  Contemporary Algorithm for the Management of Hepatocellular Carcinoma in 2021: The Northwestern Approach.

Authors:  Adam Swersky; Laura Kulik; Aparna Kalyan; Karen Grace; Juan Carlos Caicedo; Robert J Lewandowski; Riad Salem
Journal:  Semin Intervent Radiol       Date:  2021-10-07       Impact factor: 1.780

3.  Validation of prognostic accuracy of MESH, HKLC, and BCLC classifications in a large German cohort of hepatocellular carcinoma patients.

Authors:  Sophia Heinrich; Martin Sprinzl; Irene Schmidtmann; Elena Heil; Sandra Koch; Carolin Czauderna; Bernd Heinrich; Laurence Philippe P Diggs; Marcus-Alexander Wörns; Roman Kloeckner; Peter R Galle; Jens U Marquardt; Arndt Weinmann
Journal:  United European Gastroenterol J       Date:  2020-01-29       Impact factor: 4.623

4.  Time-Varying mHAP-III Is the Most Accurate Predictor of Survival in Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization.

Authors:  Claudia Campani; Alessandro Vitale; Gabriele Dragoni; Umberto Arena; Giacomo Laffi; Umberto Cillo; Edoardo G Giannini; Francesco Tovoli; Gian Ludovico Rapaccini; Maria Di Marco; Eugenio Caturelli; Marco Zoli; Rodolfo Sacco; Giuseppe Cabibbo; Andrea Mega; Maria Guarino; Antonio Gasbarrini; Gianluca Svegliati-Baroni; Francesco Giuseppe Foschi; Elisabetta Biasini; Alberto Masotto; Gerardo Nardone; Giovanni Raimondo; Francesco Azzaroli; Gianpaolo Vidili; Maurizia Rossana Brunetto; Fabio Farinati; Franco Trevisani; Fabio Marra
Journal:  Liver Cancer       Date:  2021-03-17       Impact factor: 11.740

Review 5.  Controversies and evidence of hepatic resection for hepatocellular carcinoma.

Authors:  Jian-Hong Zhong; Guido Torzilli; Hao Xing; Chao Li; Jun Han; Lei Liang; Han Zhang; Shu-Yang Dai; Le-Qun Li; Feng Shen; Tian Yang
Journal:  BBA Clin       Date:  2016-10-11

6.  Comparison of five staging systems in predicting the survival rate of patients with hepatocellular carcinoma undergoing trans-arterial chemoembolization therapy.

Authors:  Zhan-Hong Chen; Ying-Fen Hong; Xiangwei Chen; Jie Chen; Qu Lin; Jinxiang Lin; Xing Li; Jing-Yun Wen; Dan-Yun Ruan; Min Dong; Li Wei; Tian-Tian Wang; Ze-Xiao Lin; Xiao-Kun Ma; Dong-Hao Wu; Xiang-Yuan Wu; Ruihua Xu
Journal:  Oncol Lett       Date:  2017-11-15       Impact factor: 2.967

7.  A New Treatment-integrated Prognostic Nomogram of the Barcelona Clinic Liver Cancer System for Hepatocellular Carcinoma.

Authors:  Chia-Yang Hsu; Po-Hong Liu; Cheng-Yuan Hsia; Yun-Hsuan Lee; Teddy S Nagaria; Rheun-Chuan Lee; Shu-Yein Ho; Ming-Chih Hou; Teh-Ia Huo
Journal:  Sci Rep       Date:  2017-08-11       Impact factor: 4.379

8.  A Liver Index and its Relationship to Indices of HCC Aggressiveness.

Authors:  Brian I Carr; Vito Guerra; Edoardo G Giannini; Fabio Farinati; Francesca Ciccarese; Gian Ludovico Rapaccini; Maria Di Marco; Luisa Benvegnù; Marco Zoli; Franco Borzio; Eugenio Caturelli; Alberto Masotto; Franco Trevisani
Journal:  J Integr Oncol       Date:  2016-09-05

9.  Tumor stage and primary treatment of hepatocellular carcinoma at a large tertiary hospital in China: A real-world study.

Authors:  Jian-Hong Zhong; Ning-Fu Peng; Xue-Mei You; Liang Ma; Xiao Xiang; Yan-Yan Wang; Wen-Feng Gong; Fei-Xiang Wu; Bang-De Xiang; Le-Qun Li
Journal:  Oncotarget       Date:  2017-03-14

10.  Prognostic role of noninvasive liver reserve markers in patients with hepatocellular carcinoma undergoing transarterial chemoembolization.

Authors:  Shu-Yein Ho; Po-Hong Liu; Chia-Yang Hsu; Cheng-Yuan Hsia; Yun-Hsuan Lee; Rheun-Chuan Lee; Yi-Hsiang Huang; Fa-Yauh Lee; Ming-Chih Hou; Ya-Ju Tsai; Teh-Ia Huo
Journal:  PLoS One       Date:  2017-07-03       Impact factor: 3.240

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