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      Eukaryotic translation initiation factor 4E binding protein 1 ( EIF4EBP1) expression in glioblastoma is driven by ETS1- and MYBL2-dependent transcriptional activation

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          Abstract

          Eukaryotic translation initiation factor 4E binding protein 1 ( EIF4EBP1) encodes the 4EBP1 protein, a negative regulator of mRNA translation and a substrate of the mechanistic target of rapamycin (mTOR), whose function and relevance in cancer is still under debate. Here, we analyzed EIF4EBP1 expression in different glioma patient cohorts and investigated its mode of transcriptional regulation in glioblastoma cells. We verified that EIF4EBP1 mRNA is overexpressed in malignant gliomas, including isocitrate dehydrogenase (IDH)-wildtype glioblastomas, relative to non-neoplastic brain tissue in multiple publically available datasets. Our analyses revealed that EIF4EBP1 overexpression in malignant gliomas is neither due to gene amplification nor to altered DNA methylation, but rather results from aberrant transcriptional activation by distinct transcription factors. We found seven transcription factor candidates co-expressed with EIF4EBP1 in gliomas and bound to the EIF4EBP1 promoter, as revealed by chromatin immunoprecipitation (ChIP)-sequencing data. We investigated the ability of these candidates to activate the EIF4EBP1 promoter using luciferase reporter assays, which supported four transcription factors as candidate EIF4EBP1 regulators, namely MYBL2, ETS1, HIF-1A, and E2F6. Finally, by employing transient knock-down experiments to repress either of these transcription factors, we identified MYBL2 and ETS1 as the relevant transcriptional drivers of enhanced EIF4EBP1 expression in malignant glioma cells. Taken together, our findings confirm enhanced expression of EIF4EBP1 in malignant gliomas relative to non-neoplastic brain tissue and characterize the underlying molecular pathomechanisms.

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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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            The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.

            The cBio Cancer Genomics Portal (http://cbioportal.org) is an open-access resource for interactive exploration of multidimensional cancer genomics data sets, currently providing access to data from more than 5,000 tumor samples from 20 cancer studies. The cBio Cancer Genomics Portal significantly lowers the barriers between complex genomic data and cancer researchers who want rapid, intuitive, and high-quality access to molecular profiles and clinical attributes from large-scale cancer genomics projects and empowers researchers to translate these rich data sets into biologic insights and clinical applications. © 2012 AACR.
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              GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses

              Abstract Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions. While certain existing web servers are valuable and widely used, many expression analysis functions needed by experimental biologists are still not adequately addressed by these tools. We introduce GEPIA (Gene Expression Profiling Interactive Analysis), a web-based tool to deliver fast and customizable functionalities based on TCGA and GTEx data. GEPIA provides key interactive and customizable functions including differential expression analysis, profiling plotting, correlation analysis, patient survival analysis, similar gene detection and dimensionality reduction analysis. The comprehensive expression analyses with simple clicking through GEPIA greatly facilitate data mining in wide research areas, scientific discussion and the therapeutic discovery process. GEPIA fills in the gap between cancer genomics big data and the delivery of integrated information to end users, thus helping unleash the value of the current data resources. GEPIA is available at http://gepia.cancer-pku.cn/.
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                Author and article information

                Contributors
                gabriel.leprivier@med.uni-duesseldorf.de
                Journal
                Cell Death Discov
                Cell Death Discov
                Cell Death Discovery
                Nature Publishing Group UK (London )
                2058-7716
                28 February 2022
                28 February 2022
                2022
                : 8
                : 91
                Affiliations
                [1 ]GRID grid.14778.3d, ISNI 0000 0000 8922 7789, Institute of Neuropathology, Medical Faculty, University Hospital Düsseldorf, Heinrich Heine University, ; Düsseldorf, Germany
                [2 ]GRID grid.14778.3d, ISNI 0000 0000 8922 7789, Department of Pediatric Oncology, Hematology, and Clinical Immunology, Medical Faculty, , University Hospital Düsseldorf, Heinrich Heine University, ; Düsseldorf, Germany
                [3 ]German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, Düsseldorf, Germany
                [4 ]GRID grid.5252.0, ISNI 0000 0004 1936 973X, Max-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, , LMU Munich, ; Munich, Germany
                [5 ]GRID grid.7497.d, ISNI 0000 0004 0492 0584, Division of Translational Pediatric Sarcoma Research, , German Cancer Research Center (DKFZ), ; Heidelberg, Germany
                [6 ]GRID grid.510964.f, Hopp Children’s Cancer Center (KiTZ), ; Heidelberg, Germany
                [7 ]GRID grid.5253.1, ISNI 0000 0001 0328 4908, Department of General Visceral and Transplantation Surgery, , Heidelberg University Hospital, ; Heidelberg, Germany
                [8 ]GRID grid.5253.1, ISNI 0000 0001 0328 4908, Institute of Pathology, Heidelberg University Hospital, ; Heidelberg, Germany
                [9 ]GRID grid.7489.2, ISNI 0000 0004 1937 0511, Department of Life Sciences, , Ben-Gurion University of the Negev, ; Beer Sheva, Israel
                [10 ]GRID grid.7489.2, ISNI 0000 0004 1937 0511, The National Institute for Biotechnology in the Negev, ; Beer Sheva, Israel
                Author information
                http://orcid.org/0000-0002-2299-8989
                Article
                883
                10.1038/s41420-022-00883-z
                8885828
                35228525
                694ed612-f3fd-4f51-bc7c-6596b378240a
                © The Author(s) 2022

                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
                : 30 November 2021
                : 4 February 2022
                : 10 February 2022
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                © The Author(s) 2022

                cns cancer,transcription
                cns cancer, transcription

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