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      Genomic and transcriptomic landscape of conjunctival melanoma

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          Abstract

          Conjunctival melanoma (CJM) is a rare but potentially lethal and highly-recurrent cancer of the eye. Similar to cutaneous melanoma (CM), it originates from melanocytes. Unlike CM, however, CJM is relatively poorly characterized from a genomic point of view. To fill this knowledge gap and gain insight into the genomic nature of CJM, we performed whole-exome (WES) or whole-genome sequencing (WGS) of tumor-normal tissue pairs in 14 affected individuals, as well as RNA sequencing in a subset of 11 tumor tissues. Our results show that, similarly to CM, CJM is also characterized by a very high mutation load, composed of approximately 500 somatic mutations in exonic regions. This, as well as the presence of a UV light-induced mutational signature, are clear signs of the role of sunlight in CJM tumorigenesis. In addition, the genomic classification of CM proposed by TCGA seems to be well-applicable to CJM, with the presence of four typical subclasses defined on the basis of the most frequently mutated genes: BRAF, NF1, RAS, and triple wild-type. In line with these results, transcriptomic analyses revealed similarities with CM as well, namely the presence of a transcriptomic subtype enriched for immune genes and a subtype enriched for genes associated with keratins and epithelial functions. Finally, in seven tumors we detected somatic mutations in ACSS3, a possible new candidate oncogene. Transfected conjunctival melanoma cells overexpressing mutant ACSS3 showed higher proliferative activity, supporting the direct involvement of this gene in the tumorigenesis of CJM. Altogether, our results provide the first unbiased and complete genomic and transcriptomic classification of CJM.

          Author summary

          Conjunctival melanoma is an extremely rare form of cancer of the eye that arises from melanocytes–the cells producing the protective pigment melanin–in the outmost layer of the eye: the conjunctiva. This tissue, similarly to the skin, can also be exposed to UV light radiation from the sun. We investigated the genetic background of this rare form of cancer in samples from fourteen patients, by global DNA and RNA sequencing. Our results showed that conjunctival melanoma is genetically very similar to cutaneous melanoma. More precisely, in tumor DNA we detected signs of damage caused by UV light, as well as mutations in the genes BRAF, NF1 and NRAS/HRAS, previously described to be involved in cutaneous melanoma. Analysis of tumor gene expression also revealed similarities between these two types of cancer, some of which could be used as prognostic factors or as indicators of a patients’ response to therapy. In addition, we identified frequent somatic mutations in ACSS3, a gene not yet associated with either conjunctival or cutaneous melanoma, which represents a potential key player in oncogenesis of conjunctival melanoma.

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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 Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.

            Next-generation DNA sequencing (NGS) projects, such as the 1000 Genomes Project, are already revolutionizing our understanding of genetic variation among individuals. However, the massive data sets generated by NGS--the 1000 Genome pilot alone includes nearly five terabases--make writing feature-rich, efficient, and robust analysis tools difficult for even computationally sophisticated individuals. Indeed, many professionals are limited in the scope and the ease with which they can answer scientific questions by the complexity of accessing and manipulating the data produced by these machines. Here, we discuss our Genome Analysis Toolkit (GATK), a structured programming framework designed to ease the development of efficient and robust analysis tools for next-generation DNA sequencers using the functional programming philosophy of MapReduce. The GATK provides a small but rich set of data access patterns that encompass the majority of analysis tool needs. Separating specific analysis calculations from common data management infrastructure enables us to optimize the GATK framework for correctness, stability, and CPU and memory efficiency and to enable distributed and shared memory parallelization. We highlight the capabilities of the GATK by describing the implementation and application of robust, scale-tolerant tools like coverage calculators and single nucleotide polymorphism (SNP) calling. We conclude that the GATK programming framework enables developers and analysts to quickly and easily write efficient and robust NGS tools, many of which have already been incorporated into large-scale sequencing projects like the 1000 Genomes Project and The Cancer Genome Atlas.
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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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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: ResourcesRole: Writing – original draftRole: Writing – review & editing
                Role: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: InvestigationRole: MethodologyRole: ResourcesRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: Writing – review & editing
                Role: ResourcesRole: Writing – review & editing
                Role: ResourcesRole: Writing – review & editing
                Role: ResourcesRole: Writing – review & editing
                Role: Writing – review & editing
                Role: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                31 December 2020
                December 2020
                : 16
                : 12
                : e1009201
                Affiliations
                [1 ] Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
                [2 ] Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
                [3 ] Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland
                [4 ] Department of Ophthalmology, University of Basel, Basel, Switzerland
                [5 ] Jules-Gonin Eye Hospital, Department of Ophthalmology, Fondation Asile des Aveugles, University of Lausanne, Lausanne, Switzerland
                [6 ] Ludwig Cancer Research, Department of Oncology, University of Lausanne, Lausanne, Switzerland
                [7 ] Charité Comprehensive Cancer Center, Berlin, Germany
                [8 ] Experimental Pathology, Institute of Pathology, Lausanne University Hospital, Lausanne, Switzerland
                Brigham and Women's Hospital, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-2711-0480
                https://orcid.org/0000-0002-2434-7530
                https://orcid.org/0000-0001-8157-9568
                https://orcid.org/0000-0001-8368-0686
                https://orcid.org/0000-0002-0733-9950
                Article
                PGENETICS-D-20-00278
                10.1371/journal.pgen.1009201
                7775126
                33383577
                37038667-428c-4ef9-9239-df2d2b9181d3
                © 2020 Cisarova et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 21 February 2020
                : 14 October 2020
                Page count
                Figures: 6, Tables: 0, Pages: 22
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001711, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung;
                Award ID: 176097
                Award Recipient :
                Funded by: Fond'action contre le Cancer
                Award Recipient :
                This work was supported by a grant from the Fond’Action Contre le Cancer ( https://www.fondaction.ch/ to CR, NR, APM) and in part by grant # 176097 by the Swiss National Science Foundation ( http://www.snf.ch to CR). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Malignant Tumors
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Skin Neoplasms
                Skin Tumors
                Medicine and Health Sciences
                Dermatology
                Skin Neoplasms
                Skin Tumors
                Medicine and Health Sciences
                Oncology
                Basic Cancer Research
                Cancer Genomics
                Biology and Life Sciences
                Genetics
                Genomics
                Genomic Medicine
                Cancer Genomics
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Skin Neoplasms
                Malignant Skin Neoplasms
                Cutaneous Melanoma
                Medicine and Health Sciences
                Dermatology
                Skin Neoplasms
                Malignant Skin Neoplasms
                Cutaneous Melanoma
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Melanoma
                Cutaneous Melanoma
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Transcriptome Analysis
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Analysis
                Transcriptome Analysis
                Biology and Life Sciences
                Genetics
                Mutation
                Somatic Mutation
                Biology and Life Sciences
                Genetics
                Gene Expression
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

                Genetics
                Genetics

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