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Zhang et al. Hepatoma Res 2020;6:30                              Hepatoma Research
               DOI: 10.20517/2394-5079.2020.17


               Review                                                                        Open Access


               Imaging biomarkers for predicting poor prognosis of
               hepatocellular carcinoma: a review


               Yun Zhang , Zi-Xing Huang , Jie Chen , Yu-Jun Shi , Han-Yu Jiang , Li-Kun Cao , Bin Song 1
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               1 Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China.
               2 Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC, West China Hospital, Sichuan
               University, Chengdu 610041, Sichuan, China.
               3 Department of Radiology, Peking Union Medical College Hospital (Dongdan campus), Beijing 100730, China.
               Correspondence to: Prof. Bin Song, Department of Radiology, Sichuan University West China Hospital, No. 37, Guoxue Alley,
               Chengdu 610041, Sichuan, China. E-mail: anicesong@vip.sina.com
               How to cite this article: Zhang Y, Huang ZX, Chen J, Shi YJ, Jiang HY, Cao LK, Song B. Imaging biomarkers for predicting poor
               prognosis of hepatocellular carcinoma: a review. Hepatoma Res 2020;6:30. http://dx.doi.org/10.20517/2394-5079.2020.17

               Received: 26 Feb 2020    First Decision: 2 Apr 2020    Revised: 21 Apr 2020    Accepted: 24 Apr 2020    Published: 16 Jun 2020
               Science Editor: Guido Guenther Gerken   Copy Editor: Jing-Wen Zhang    Production Editor: Tian Zhang



               Abstract
               Hepatocellular carcinoma (HCC) is a primary malignancy of the liver with a high mortality rate. Heterogeneity
               is the main biological characteristic of HCC, which manifests through the different biological behaviors of
               each phenotype and ultimately, affects patient prognosis and treatment efficacy. Various aggressive biological
               behaviors are considered to be associated with the poor prognosis of HCC patients including poor differentiation,
               microvascular invasion, intracellular fat accumulation, invasive growth, bile duct invasion or tumor thrombosis,
               and tumor spread and metastasis, and have been reported as prognostic biomarkers. In addition, HCC
               results from multifactor synergistic damage, and various factors related to genetics, molecular pathology and
               immunohistochemistry such as β-catenin, Ki67, cytokeratin-19, and epithelial cell adhesion molecule have an
               impact on HCC differentiation and prognosis. This article is an overview of the biological behaviors that lead to
               poor prognosis of HCC, and the roles of morphological and quantitative noninvasive imaging biomarkers in the
               evaluation and prediction of these behaviors. Some common biomarkers related to genetics, molecular pathology
               and immunohistochemistry are also briefly summarized. It is hoped that this review will provide clinicians and
               radiologists with an update on the development of liver imaging, and provide directions for the combination of
               radiology, genetics, molecular pathology and histopathology to better predict the prognosis of HCC patients.


               Keywords: Hepatocellular carcinoma, poor prognosis, biological behaviors, imaging biomarkers, genetics, molecular
               pathology, immunohistochemistry





                           © The Author(s) 2020. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,
                sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long
                as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license,
                and indicate if changes were made.


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