Oncotarget

Research Papers:

Prediction of early recurrence of hepatocellular carcinoma within the Milan criteria after radical resection

Jiliang Feng _, Junmei Chen, Ruidong Zhu, Lu Yu, Yan Zhang, Dezhao Feng, Heli Kong, Chenzhao Song, Hui Xia, Jushan Wu and Dawei Zhao

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Oncotarget. 2017; 8:63299-63310. https://doi.org/10.18632/oncotarget.18799

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Abstract

Jiliang Feng1,*, Junmei Chen2,*, Ruidong Zhu3, Lu Yu1, Yan Zhang1, Dezhao Feng4, Heli Kong1, Chenzhao Song1, Hui Xia5, Jushan Wu3 and Dawei Zhao6

1Clinical-Pathology Center, Beijing You-An Hospital, Capital Medical University, Beijing, China

2Medical Laboratory Center, Beijing You-An Hospital, Capital Medical University, Beijing, China

3Surgical Center, Beijing You-An Hospital, Capital Medical University, Beijing, China

4College of Life Science, Sichuan University, Chengdu, China

5Surgical Center, The 304th Hospital of PLA, Beijing, China

6Medical Imaging Department, Beijing You-An Hospital, Capital Medical University, Beijing, China

*These authors have contributed equally to this work

Correspondence to:

Jiliang Feng, email: [email protected]

Dawei Zhao, email: [email protected]

Keywords: hepatocellular carcinoma, Milan criteria, radical resection, cytokeratin 19, glypican 3

Received: September 22, 2016     Accepted: June 02, 2017     Published: June 28, 2017

ABSTRACT

Approximately 50% hepatocellular carcinoma patients meeting the Milan criteria utilized to develop an improved prognostic model for predicting the recurrence in these patients. Using univariate and multivariate analysis, cytokeratin-19 and glypican-3 expression patterns, tumor number and histological grading from eight putative prognostic factors comprised the risk factor scoring model to predict the tumor recurrence. In the training cohort, the area under roc curve (AUC) value of the model was 0.715 [95% confidence interval (CI) = 0.645−0.786, P<0.001], which was the highest among all the parameters. The performance of the model was assessed using an independent validation cohort, wherein the AUC value was 0.760 (95% CI=0.647−0.874, P<0.001), which was higher than the other factors. The results indicated that model had high performance with adequate discrimination ability. Moreover, it significantly improved the predictive capacity for the recurrence in patients with hepatocellular carcinoma within the Milan criteria after radical resection.


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