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      Integrative Genomic Analyses of Patient-Matched Intracranial and Extracranial Metastases Reveal a Novel Brain-Specific Landscape of Genetic Variants in Driver Genes of Malignant Melanoma

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          Melanoma is the third most common cause of brain metastasis with a reported incidence of up to 80% leading to patients’ early mortality. Clinical activity at intracranial sites is often less and unsatisfactory when compared to extracranial metastases by using novel targeted or immune therapies. Thus, the identification of genetic alterations may provide new insights into the pathogenesis of brain metastases and this will facilitate the improvement of precision oncology. Therefore, the aim of our study was to address site-specific oncogenic alterations in intracranial metastases of 29 recurrently mutated driver genes in melanoma by next generation sequencing. In line with the branched evolution model of metastasis, we identified in our cohort of intracranial and corresponding patient-matched extracranial melanoma metastases novel genetic variants and site-specific nucleotide modifications. Therapeutic targeting of the new-identified genetic variants could help to facilitate novel, more effective therapies for prevention and/or treatment of melanoma brain metastases.

          Abstract

          Background: Development of brain metastases in advanced melanoma patients is a frequent event that limits patients’ quality of life and survival. Despite recent insights into melanoma genetics, systematic analyses of genetic alterations in melanoma brain metastasis formation are lacking. Moreover, whether brain metastases harbor distinct genetic alterations beyond those observed at different anatomic sites of the same patient remains unknown. Experimental Design and Results: In our study, 54 intracranial and 18 corresponding extracranial melanoma metastases were analyzed for mutations using targeted next generation sequencing of 29 recurrently mutated driver genes in melanoma. In 11 of 16 paired samples, we detected nucleotide modifications in brain metastases that were absent in matched metastases at extracranial sites. Moreover, we identified novel genetic variants in ARID1A, ARID2, SMARCA4 and BAP1, genes that have not been linked to brain metastases before; albeit most frequent mutations were found in ARID1A, ARID2 and BRAF. Conclusion: Our data provide new insights into the genetic landscape of intracranial melanoma metastases supporting a branched evolution model of metastasis formation.

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          Most cited references65

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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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              COSMIC: the Catalogue Of Somatic Mutations In Cancer

              Abstract COSMIC, the Catalogue Of Somatic Mutations In Cancer (https://cancer.sanger.ac.uk) is the most detailed and comprehensive resource for exploring the effect of somatic mutations in human cancer. The latest release, COSMIC v86 (August 2018), includes almost 6 million coding mutations across 1.4 million tumour samples, curated from over 26 000 publications. In addition to coding mutations, COSMIC covers all the genetic mechanisms by which somatic mutations promote cancer, including non-coding mutations, gene fusions, copy-number variants and drug-resistance mutations. COSMIC is primarily hand-curated, ensuring quality, accuracy and descriptive data capture. Building on our manual curation processes, we are introducing new initiatives that allow us to prioritize key genes and diseases, and to react more quickly and comprehensively to new findings in the literature. Alongside improvements to the public website and data-download systems, new functionality in COSMIC-3D allows exploration of mutations within three-dimensional protein structures, their protein structural and functional impacts, and implications for druggability. In parallel with COSMIC’s deep and broad variant coverage, the Cancer Gene Census (CGC) describes a curated catalogue of genes driving every form of human cancer. Currently describing 719 genes, the CGC has recently introduced functional descriptions of how each gene drives disease, summarized into the 10 cancer Hallmarks.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Cancers (Basel)
                Cancers (Basel)
                cancers
                Cancers
                MDPI
                2072-6694
                10 February 2021
                February 2021
                : 13
                : 4
                : 731
                Affiliations
                [1 ]Skin Cancer Unit of the Dermatology Department, Medical Faculty, West German Cancer Center, University Duisburg-Essen, 45147 Essen, Germany; renata.varaljai@ 123456uk-essen.de (R.V.); Susanne.Horn@ 123456medizin.uni-leipzig.de (S.H.); antje.sucker@ 123456uk-essen.de (A.S.); alexander.roesch@ 123456uk-essen.de (A.R.); dirk.schadendorf@ 123456uk-essen.de (D.S.)
                [2 ]German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, 45147 Essen, Germany; daniela.pierscianek@ 123456uk-essen.de (D.P.); guido.reifenberger@ 123456med.uni-duesseldorf.de (G.R.); ulrich.sure@ 123456uk-essen.de (U.S.)
                [3 ]Faculty Rudolf-Schönheimer-Institute for Biochemistry, University of Leipzig, 04103 Leipzig, Germany
                [4 ]Department of Neurosurgery, Medical Faculty, West German Cancer Center, University Duisburg-Essen, 45147 Essen, Germany
                [5 ]Institute of Anatomy, Medical Faculty, University Duisburg-Essen, 45147 Essen, Germany; verena.schmitt@ 123456uk-essen.de
                [6 ]Department of Molecular Biology, Medical Faculty, University Duisburg-Essen, 45147 Essen, Germany; alexander.carpinteiro@ 123456uk-essen.de (A.C.); katrin.becker@ 123456uk-essen.de (K.A.B.)
                [7 ]Department of Dermatology, Medical Faculty, Heinrich Heine University, 40225 Düsseldorf, Germany; reifenbergerJ@ 123456med.uni-duesseldorf.de
                [8 ]Institute of Neuropathology, Heinrich Heine University, 40225 Düsseldorf, Germany; joerg.felsberg@ 123456med.uni-duesseldorf.de
                Author notes
                [* ]Correspondence: iris.helfrich@ 123456uk-essen.de ; Tel.: +49-201-723-1648; Fax: +49-201-723-5525
                [†]

                Equally contributing authors.

                Author information
                https://orcid.org/0000-0001-6852-6859
                https://orcid.org/0000-0003-3524-7858
                https://orcid.org/0000-0001-6150-9570
                Article
                cancers-13-00731
                10.3390/cancers13040731
                7916600
                33578810
                96e8b7c3-3473-4bcd-acb2-388b7363de52
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 05 January 2021
                : 08 February 2021
                Categories
                Article

                melanoma brain metastases,matched-pair analyses,single nucleotide polymorphism,mutational load,oncogenes

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