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Original Article



            Identifying microRNA panels specifically associated with

            hepatocellular carcinoma and its different etiologies


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            Jing Shen , Abby B. Siegel , Helen Remotti , Qiao Wang , Regina M. Santella          1
            1 Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, New York, NY 10032, USA.
            2 Department of Medicine, Columbia University Medical Center, New York, NY 10032, USA.
            3 Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA.


                ABSTRACT
                Aim: Deregulation of microRNAs (miRNAs) expression has been identified in hepatocellular carcinoma (HCC), but few
                results are consistent. The objective of this study is to investigate “HCC tumor type specific” and “tumor common” miRNA
                panels. Methods: The authors integrate and analyze clinical, etiologic and miRNA profiles data from 9 types of solid tumors in
                The Cancer Genome Atlas (TCGA) and HCC data from Columbia University Medical Center (CUMC). Results: Levels of 33
                miRNAs were significant different between HCC tumor and paired non-tumor tissues (over 2-fold changes) after Bonferroni
                correction for multiple comparisons, and most (28 miRNAs) were down-regulated in HCC tumors. Using this panel, the
                authors well classified HCC tumor tissues with 4 misclassifications among 48 paired tissues. Validating this panel in an
                additional 302 HCC tumor tissues, the authors almost perfectly distinguished tumor from non-tumor tissues with only two
                misclassifications (99% of HCC tissues correctly classified). Evaluating miRNA profiles in 32 independent HCC paired tissues
                from CUMC, the authors observed 40 miRNAs significantly deregulated in HCC with over 2-fold changes; 14 overlapped
                with those identified in TCGA. Subgroup analyses by HCC etiology found that 4 upregulated and 8 downregulated miRNAs
                were significantly associated with alcohol-related HCC. There were 7 and 4 miRNAs significantly associated with hepatitis B
                virus- and hepatitis C virus-related HCC, respectively. Data for the first time revealed that miR-24-1, miR-130a and miR-505
                were significantly down-regulated only in HCC tumors; miR-142 and miR-455 were significantly down-regulated in HCC, but
                up-regulated in 5 other solid tumors; suggesting their HCC “tumor type specific” characteristics. A panel of 8 miRNAs was
                significant in at least 5 tumor types, including HCC, and was identified as “tumor common” marker. Conclusion: The authors
                concluded that aberrant miRNA panels have HCC “tumor type specificity” and may be affected by etiologic factors.


                Key words: MicroRNA; hepatocellular carcinoma; etiologies; The Cancer Genome Atlas

            Address for correspondence:
            Dr. Jing Shen, Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, 650 W. 168th St. Black
            Building Rm.1608, New York, NY 10032, USA. E-mail: js2182@cumc.columbia.edu
            Received: 17-12-2015, Accepted: 10-04-2016

                                Dr. Jing Shen is an Assistant Professor of Environmental Health Sciences at the Columbia University
                                Medical Center. His research interests focus on epigenetic (DNA methylation, microRNAs, long non-coding
                                RNAs) and genetic (DNA repair capacity, telomere length) biomarkers and their potential etiological roles in
                                tumorigenesis. He is also interested in exploring environmental exposure markers (oxidative stress, Aflatoxin
                                B1, and polycyclic aromatic hydrocarbon (PAH) -DNA, -albumin adducts) in cancer susceptibility, cancer early
                                diagnosis and survival prediction.

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                                                               How  to cite this  article:  Shen  J,  Siegel  AB,  Remotti  H,  Wang  Q,
             DOI:                                              Santella RM. Identifying microRNA panels specifically associated with
             10.20517/2394-5079.2015.66                        hepatocellular  carcinoma  and  its  different  etiologies.  Hepatoma  Res
                                                               2016;2:151-62.


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