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      Cancer type-dependent genetic interactions between cancer driver alterations indicate plasticity of epistasis across cell types

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          Abstract

          Cancers, like many diseases, are normally caused by combinations of genetic alterations rather than by changes affecting single genes. It is well established that the genetic alterations that drive cancer often interact epistatically, having greater or weaker consequences in combination than expected from their individual effects. In a stringent statistical analysis of data from > 3,000 tumors, we find that the co-occurrence and mutual exclusivity relationships between cancer driver alterations change quite extensively in different types of cancer. This cannot be accounted for by variation in tumor heterogeneity or unrecognized cancer subtypes. Rather, it suggests that how genomic alterations interact cooperatively or partially redundantly to driver cancer changes in different types of cancers. This re-wiring of epistasis across cell types is likely to be a basic feature of genetic architecture, with important implications for understanding the evolution of multicellularity and human genetic diseases. In addition, if this plasticity of epistasis across cell types is also true for synthetic lethal interactions, a synthetic lethal strategy to kill cancer cells may frequently work in one type of cancer but prove ineffective in another.

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          Most cited references29

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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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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              Cancer genes and the pathways they control.

              The revolution in cancer research can be summed up in a single sentence: cancer is, in essence, a genetic disease. In the last decade, many important genes responsible for the genesis of various cancers have been discovered, their mutations precisely identified, and the pathways through which they act characterized. The purposes of this review are to highlight examples of progress in these areas, indicate where knowledge is scarce and point out fertile grounds for future investigation.
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                Author and article information

                Journal
                Mol Syst Biol
                Mol. Syst. Biol
                msb
                Molecular Systems Biology
                John Wiley & Sons, Ltd (Chichester, UK )
                1744-4292
                1744-4292
                July 2015
                30 July 2015
                : 11
                : 7
                : 824
                Affiliations
                [1 ]EMBL-CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG) Barcelona, Spain
                [2 ]Universitat Pompeu Fabra Barcelona, Spain
                [3 ]Institució Catalana de Recerca i Estudis Avançats (ICREA) Barcelona, Spain
                Author notes
                * Corresponding author. Tel: +34 933 160 194; E-mail: ben.lehner@ 123456crg.eu

                Subject Categories Network Biology; Genetics, Gene Therapy & Genetic Disease; Cancer

                Article
                10.15252/msb.20156102
                4547852
                26227665
                4b4c7f5e-b41c-40e6-a276-c7d4b0b073c4
                © 2015 The Authors. Published under the terms of the CC BY 4.0 license

                This is an open access article under the terms of the Creative Commons Attribution 4.0 License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 February 2015
                : 07 July 2015
                : 09 July 2015
                Categories
                Articles

                Quantitative & Systems biology
                cancer,epistasis,evolution,genetic interaction networks,tissue specificity

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