Xiuming Zhang1, Yanfeng Bai1, Lei Xu2,3, Buyi Zhang4, Shi Feng1, Liming Xu1, Han Zhang1, Linjie Xu1, Pengfei Yang2,3, Tianye Niu2,3, Shusen Zheng5,6,7, Jimin Liu8. 1. Department of Pathology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China. 2. Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310020, China. 3. Institute of Translational Medicine, Zhejiang University, Hangzhou, 310029, China. 4. Department of Pathology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China. 5. Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China. shusenzheng@zju.edu.cn. 6. NHFPC Key Laboratory of Combined Multi-organ Transplantation, The First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China. shusenzheng@zju.edu.cn. 7. Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, 310003, China. shusenzheng@zju.edu.cn. 8. Department of Pathology and Molecular Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, L8S 4K1, Canada. nliu@haltonhealthcare.com.
Abstract
BACKGROUND: Approximately 50% hepatocellular carcinoma (HCC) patients die within 5 year after surgical resection. The present staging systems do not fully allow to accurately predict the HCC prognosis and recurrence. This study aimed to identify clinicopathological characteristics and molecular markers to establish classifiers to predict the 5-year overall survival (OS) and the 3-year recurrence in HCC patients post-operatively. METHODS: We enrolled 647 HCC patients from two institutions, underwent surgical resection and divided the patients into one training and two validation cohorts. Clinicopathologic characteristics and tumor protein expression of 29 biomarkers by immunohistochemical (IHC) analysis were used to develop and validate a prognostic and a recurrent classifier, using the maximum relevance minimum redundancy algorithm jointly with the multivariable regression method. RESULTS: The prognostic classifier distinguished HCC patients into high- and low-probability survival groups with significant differences in 5-year OS rate in all three cohorts (training cohort: 57.36% vs. 22.97%; p < 0.0001; internal validation cohort: 61.90% vs. 28.85%; p < 0.0001; independent validation cohort: 64.28% vs. 22.45%; p < 0.0001). The recurrent classifier also demonstrated good discrimination in all three cohorts. CONCLUSION: This study presented a prognostic classifier and a recurrent classifier using clinicopathologic and IHC characteristics. The developed classifiers stratified HCC patients into high- and low-probability survival or recurrent groups, which can help clinicians judge whether adjuvant therapy is beneficial post-operatively.
BACKGROUND: Approximately 50% hepatocellular carcinoma (HCC) patients die within 5 year after surgical resection. The present staging systems do not fully allow to accurately predict the HCC prognosis and recurrence. This study aimed to identify clinicopathological characteristics and molecular markers to establish classifiers to predict the 5-year overall survival (OS) and the 3-year recurrence in HCC patients post-operatively. METHODS: We enrolled 647 HCC patients from two institutions, underwent surgical resection and divided the patients into one training and two validation cohorts. Clinicopathologic characteristics and tumor protein expression of 29 biomarkers by immunohistochemical (IHC) analysis were used to develop and validate a prognostic and a recurrent classifier, using the maximum relevance minimum redundancy algorithm jointly with the multivariable regression method. RESULTS: The prognostic classifier distinguished HCC patients into high- and low-probability survival groups with significant differences in 5-year OS rate in all three cohorts (training cohort: 57.36% vs. 22.97%; p < 0.0001; internal validation cohort: 61.90% vs. 28.85%; p < 0.0001; independent validation cohort: 64.28% vs. 22.45%; p < 0.0001). The recurrent classifier also demonstrated good discrimination in all three cohorts. CONCLUSION: This study presented a prognostic classifier and a recurrent classifier using clinicopathologic and IHC characteristics. The developed classifiers stratified HCC patients into high- and low-probability survival or recurrent groups, which can help clinicians judge whether adjuvant therapy is beneficial post-operatively.
Authors: Nicolas De Jay; Simon Papillon-Cavanagh; Catharina Olsen; Nehme El-Hachem; Gianluca Bontempi; Benjamin Haibe-Kains Journal: Bioinformatics Date: 2013-07-03 Impact factor: 6.937
Authors: Jorge A Marrero; Robert J Fontana; Ashley Barrat; Frederick Askari; Hari S Conjeevaram; Grace L Su; Anna S Lok Journal: Hepatology Date: 2005-04 Impact factor: 17.425