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      Upregulation of histamine receptor H1 promotes tumor progression and contributes to poor prognosis in hepatocellular carcinoma

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          Abstract

          H1 histamine receptor (H1HR) belongs to the family of rhodopsin-like G-protein-coupled receptors. Recent studies have shown that H1HR expression is increased in several types of cancer. However, its functional roles in tumor progression remain largely unknown, especially in hepatocellular carcinoma (HCC). We found that H1HR is frequently unregulated in HCC, which is significantly associated with both recurrence-free survival and overall survival in HCC patients. Functional experiments revealed that H1HR promoted both the growth and metastasis of HCC cells by inducing cell cycle progression, formation of lamellipodia, production of matrix metalloproteinase 2, and suppression of cell apoptosis. Activation of cyclic adenosine monophosphate-dependent protein kinase A was found to be involved in H1HR-mediated HCC cell growth and metastasis. In addition, we found that overexpression of H1HR was mainly due to the downregulation of miR-940 in HCC cells. Moreover, the H1HR inhibitor terfenadine significantly suppressed tumor growth and metastasis in an HCC xenograft nude mice model. Our findings demonstrate that H1HR plays a critical role in the growth and metastasis of HCC cells, which provides experimental evidence supporting H1HR as a potential drug target for the treatment of HCC.

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          Genomic and Transcriptomic Profiling of Combined Hepatocellular and Intrahepatic Cholangiocarcinoma Reveals Distinct Molecular Subtypes

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            Immune Cell and Stromal Signature Associated With Progression-Free Survival of Patients With Resected Pancreatic Ductal Adenocarcinoma

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              NAViGaTing the Micronome – Using Multiple MicroRNA Prediction Databases to Identify Signalling Pathway-Associated MicroRNAs

              Background MicroRNAs are a class of small RNAs known to regulate gene expression at the transcript level, the protein level, or both. Since microRNA binding is sequence-based but possibly structure-specific, work in this area has resulted in multiple databases storing predicted microRNA:target relationships computed using diverse algorithms. We integrate prediction databases, compare predictions to in vitro data, and use cross-database predictions to model the microRNA:transcript interactome – referred to as the micronome – to study microRNA involvement in well-known signalling pathways as well as associations with disease. We make this data freely available with a flexible user interface as our microRNA Data Integration Portal — mirDIP (http://ophid.utoronto.ca/mirDIP). Results mirDIP integrates prediction databases to elucidate accurate microRNA:target relationships. Using NAViGaTOR to produce interaction networks implicating microRNAs in literature-based, KEGG-based and Reactome-based pathways, we find these signalling pathway networks have significantly more microRNA involvement compared to chance (p<0.05), suggesting microRNAs co-target many genes in a given pathway. Further examination of the micronome shows two distinct classes of microRNAs; universe microRNAs, which are involved in many signalling pathways; and intra-pathway microRNAs, which target multiple genes within one signalling pathway. We find universe microRNAs to have more targets (p<0.0001), to be more studied (p<0.0002), and to have higher degree in the KEGG cancer pathway (p<0.0001), compared to intra-pathway microRNAs. Conclusions Our pathway-based analysis of mirDIP data suggests microRNAs are involved in intra-pathway signalling. We identify two distinct classes of microRNAs, suggesting a hierarchical organization of microRNAs co-targeting genes both within and between pathways, and implying differential involvement of universe and intra-pathway microRNAs at the disease level.
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                Author and article information

                Contributors
                +862984772334 , wansg@gmu.edu.cn
                +86-29-84772334 , lijibin2006@163.com
                Journal
                Oncogene
                Oncogene
                Oncogene
                Nature Publishing Group UK (London )
                0950-9232
                1476-5594
                18 November 2019
                18 November 2019
                2020
                : 39
                : 8
                : 1724-1738
                Affiliations
                [1 ]ISNI 0000 0004 1797 9454, GRID grid.440714.2, Center for Molecular Pathology, First Affiliated Hospital, , Gannan Medical University, ; Ganzhou, Jiangxi 341000 China
                [2 ]ISNI 0000 0004 1761 4404, GRID grid.233520.5, State Key Laboratory of Cancer Biology and Experimental Teaching Center of Basic Medicine, , Fourth Military Medical University, ; Xi’an, 710032 China
                [3 ]ISNI 0000 0001 0473 0092, GRID grid.440747.4, Medical College of Yan’an University, ; Yan’an, Shaanxi 716000 China
                [4 ]ISNI 0000 0004 1761 4404, GRID grid.233520.5, Department of Gynecology and Obstetrics, Xijing Hospital, , Fourth Military Medical University, ; Xi’an, 710032 China
                [5 ]ISNI 0000 0004 1761 4404, GRID grid.233520.5, Department of Hepatobiliary Surgery, Xijing Hospital, , Fourth Military Medical University, ; Xi’an, 710032 China
                Article
                1093
                10.1038/s41388-019-1093-y
                7033043
                31740780
                d15d258c-4d87-49a5-8749-ef2387f4f861
                © The Author(s) 2019

                Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 23 May 2019
                : 25 October 2019
                : 29 October 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 81502085
                Award ID: U1604167
                Award Recipient :
                Funded by: Natural Science Basic Research Plan in Shaanxi Province of China (Program No. 2018JM7018), State Key Laboratory of Cancer Biology Project (CBSKL2017Z01).
                Funded by: National Natural Science Foundation of China (grants 81472298)
                Funded by: National Natural Science Foundation of China (grants 81502085)
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2020

                Oncology & Radiotherapy
                oncogenes,cell migration,cancer models,cell growth,cell death
                Oncology & Radiotherapy
                oncogenes, cell migration, cancer models, cell growth, cell death

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