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      UBE2I promotes metastasis and correlates with poor prognosis in hepatocellular carcinoma

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          Abstract

          Background

          A comprehensive investigation of ubiquitin-conjugating enzyme E2I (UBE2I) in cancer is still insufficiency. In this study, we aimed to analyze its role and mechanism in cancer by combination of bioinformatic analysis and experimental validation.

          Methods

          The expression profile of UBE2I in human cancers were obtained using GEPIA. Kaplan–Meier plotter was used to assess the prognostic values of UBE2I in diverse types of cancer. ROC curve analysis was employed to determine the diagnostic role of UBE2I in hepatocellular carcinoma (HCC). The expression differences based on various clinicopathological features was evaluated by UALCAN. Wound healing assay and transwell invasion assay were used to detected the effects of UBE2I on migration and invasion of HCC cells, respectively. The miRNA regulatory mechanism of UBE2I was successively investigated by binding prediction, expression analysis, survival analysis and dual-luciferase reporter assay. The correlation of UBE2I mRNA expression and UBE2I promoter methylation level was assessed using cBioPortal. STRING was finally introduced to perform co-expression analysis and enrichment analysis for UBE2I.

          Results

          UBE2I was upregulated in HCC, correlated with cancer progression and poor prognosis of HCC. We also found a significant diagnostic value of UBE2I in HCC. Functional experiments revealed that knockdown of UBE2I significantly inhibited HCC migration and invasion. Further research on mechanism suggested that loss of inhibition of hsa-miR-195-3p and dysregulation of UBE2I promoter methylation might account for UBE2I overexpression in HCC. Analysis of UBE2I-invovled regulatory network identified six key genes (NSMCE2, SAE1, UBA2, RANGAP1, SUMO1 and SUMO2) whose expression linked to poor prognosis in HCC.

          Conclusions

          In conclusion, UBE2I may be a promising therapeutic target and biomarker in cancer, especially HCC.

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          Most cited references26

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          Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.

          The cBioPortal for Cancer Genomics (http://cbioportal.org) provides a Web resource for exploring, visualizing, and analyzing multidimensional cancer genomics data. The portal reduces molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events. The query interface combined with customized data storage enables researchers to interactively explore genetic alterations across samples, genes, and pathways and, when available in the underlying data, to link these to clinical outcomes. The portal provides graphical summaries of gene-level data from multiple platforms, network visualization and analysis, survival analysis, patient-centric queries, and software programmatic access. The intuitive Web interface of the portal makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries. Here, we provide a practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics.
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            Ubiquitin ligases: cell-cycle control and cancer.

            A driving force of the cell cycle is the activation of cyclin-dependent kinases (CDKs), the activities of which are controlled by the ubiquitin-mediated proteolysis of key regulators such as cyclins and CDK inhibitors. Two ubiquitin ligases, the SKP1-CUL1-F-box-protein (SCF) complex and the anaphase-promoting complex/cyclosome (APC/C), are responsible for the specific ubiquitylation of many of these regulators. Deregulation of the proteolytic system might result in uncontrolled proliferation, genomic instability and cancer. Cumulative clinical evidence shows alterations in the ubiquitylation of cell-cycle regulators in the aetiology of many human malignancies. A better understanding of the ubiquitylation machinery will provide new insights into the regulatory biology of cell-cycle transitions and the development of anti-cancer drugs.
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              The demographics of the ubiquitin system.

              The ubiquitin system is a major coordinator of cellular physiology through regulation of both protein degradation and signalling pathways. A key building block of a systems-level understanding has been generated by global proteomic studies, which provide copy number estimates for each component. The aggregate of ubiquitin, conjugating enzymes (E1, E2, and E3s), and deubiquitylases (DUBs) represents ∼1.3% of total cellular protein. Complementary approaches have generated quantitative measurements of various ubiquitin pools and further subdivision into different ubiquitin chain topologies. Systematic studies aimed at associating specific enzymes (E2s and DUBs) with the dynamics of these different pools have also made significant progress. Here, we delineate the emerging picture of the most significant determinants of the cellular ubiquitin economy. Copyright © 2015 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                344299731@qq.com
                11718264@zju.edu.cn
                Journal
                Cancer Cell Int
                Cancer Cell Int
                Cancer Cell International
                BioMed Central (London )
                1475-2867
                12 June 2020
                12 June 2020
                2020
                : 20
                : 234
                Affiliations
                [1 ]GRID grid.417401.7, ISNI 0000 0004 1798 6507, Clinical Research Institute, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical Hospital, ; Hangzhou, 310014 Zhejiang China
                [2 ]GRID grid.417401.7, ISNI 0000 0004 1798 6507, Department of Anus & Intestine Surgery, , Zhejiang Provincial People’s Hospital, ; Hangzhou, 310014 Zhejiang China
                [3 ]GRID grid.459505.8, Department of Oncology, , First Affiliated Hospital of Jiaxing University, ; Jiaxing, 314000 Zhejiang China
                [4 ]GRID grid.452661.2, ISNI 0000 0004 1803 6319, Department of Breast Surgery, , First Affiliated Hospital, College of Medicine, Zhejiang University, ; Hangzhou, 310003 Zhejiang China
                Author information
                http://orcid.org/0000-0002-4848-9891
                Article
                1311
                10.1186/s12935-020-01311-x
                7291483
                32536822
                eeecf051-632b-4705-9c1a-aa9a2bbad714
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 12 November 2019
                : 30 May 2020
                Funding
                Funded by: Jiaxing Key Discipline of Medical-Oncology
                Award ID: 2019-ZC-11
                Categories
                Primary Research
                Custom metadata
                © The Author(s) 2020

                Oncology & Radiotherapy
                ube2i,hepatocellular carcinoma,diagnosis,prognosis,migration,invasion,metastasis,microrna (mirna),protein–protein interaction (ppi)

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