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      Drug-based perturbation screen uncovers synergistic drug combinations in Burkitt lymphoma

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          Abstract

          Burkitt lymphoma (BL) is a highly aggressive B-cell lymphoma associated with MYC translocation. Here, we describe drug response profiling of 42 blood cancer cell lines including 17 BL to 32 drugs targeting key cancer pathways and provide a systematic study of drug combinations in BL cell lines. Based on drug response, we identified cell line specific sensitivities, i.e. to venetoclax driven by BCL2 overexpression and partitioned subsets of BL driven by response to kinase inhibitors. In the combination screen, including BET, BTK and PI3K inhibitors, we identified synergistic combinations of PI3K and BTK inhibition with drugs targeting Akt, mTOR, BET and doxorubicin. A detailed comparison of PI3K and BTKi combinations identified subtle differences, in line with convergent pathway activity. Most synergistic combinations were identified for the BET inhibitor OTX015, which showed synergistic effects for 41% of combinations including inhibitors of PI3K/AKT/mTOR signalling. The strongest synergy was observed for the combination of the CDK 2/7/9 inhibitor SNS032 and OTX015. Our data provide a landscape of drug combination effects in BL and suggest that targeting CDK and BET could provide a novel vulnerability of BL.

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          Most cited references46

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          An interactive resource to identify cancer genetic and lineage dependencies targeted by small molecules.

          The high rate of clinical response to protein-kinase-targeting drugs matched to cancer patients with specific genomic alterations has prompted efforts to use cancer cell line (CCL) profiling to identify additional biomarkers of small-molecule sensitivities. We have quantitatively measured the sensitivity of 242 genomically characterized CCLs to an Informer Set of 354 small molecules that target many nodes in cell circuitry, uncovering protein dependencies that: (1) associate with specific cancer-genomic alterations and (2) can be targeted by small molecules. We have created the Cancer Therapeutics Response Portal (http://www.broadinstitute.org/ctrp) to enable users to correlate genetic features to sensitivity in individual lineages and control for confounding factors of CCL profiling. We report a candidate dependency, associating activating mutations in the oncogene β-catenin with sensitivity to the Bcl-2 family antagonist, navitoclax. The resource can be used to develop novel therapeutic hypotheses and to accelerate discovery of drugs matched to patients by their cancer genotype and lineage. Copyright © 2013 Elsevier Inc. All rights reserved.
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            Generation of mouse models of myeloid malignancy with combinatorial genetic lesions using CRISPR-Cas9 genome editing

            Genome sequencing studies have shown that human malignancies often bear mutations in four or more driver genes 1 , but it is difficult to recapitulate this degree of genetic complexity in mouse models using conventional breeding. Here we use the CRISPR-Cas9 system of genome editing 2–4 to overcome this limitation. By delivering combinations of small guide RNAs (sgRNAs) and Cas9 with a lentiviral vector, we modified up to five genes in a single mouse hematopoietic stem cell (HSC), leading to clonal outgrowth and myeloid malignancy. We thereby generated models of acute myeloid leukemia (AML) with cooperating mutations in genes encoding epigenetic modifiers, transcription factors, and mediators of cytokine signaling, recapitulating the combinations of mutations observed in the human disease. Our results suggest that lentivirus-delivered sgRNA:Cas9 genome editing should be useful to engineer a broad array of in vivo cancer models that better reflect the complexity of human disease.
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              Human c-myc onc gene is located on the region of chromosome 8 that is translocated in Burkitt lymphoma cells.

              Human sequences related to the transforming gene (v-myc) of avian myelocytomatosis virus (MC29) are represented by at least one gene and several related sequences that may represent pseudogenes. By using a DNA probe that is specific for the complete gene (c-myc), different somatic cell hybrids possessing varying numbers of human chromosomes were analyzed by the Southern blotting technique. The results indicate that the human c-myc gene is located on chromosome 8. The analysis of hybrids between rodent cells and human Burkitt lymphoma cells, which carry a reciprocal translocation between chromosomes 8 and 14, allowed the mapping of the human c-myc gene on region (q24 leads to qter) of chromosome 8. This chromosomal region is translocated to either human chromosome 2, 14, or 22 in Burkitt lymphoma cells.
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                Author and article information

                Contributors
                katarzyna.tomska@med.uni-heidelberg.de
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                13 August 2018
                13 August 2018
                2018
                : 8
                : 12046
                Affiliations
                [1 ]GRID grid.461742.2, Molecular Therapy in Haematology and Oncology & Department of Translational Oncology, NCT and DKFZ, ; Heidelberg, Germany
                [2 ]ISNI 0000 0004 0492 0584, GRID grid.7497.d, Division of Applied Bioinformatics, DKFZ, ; Heidelberg, Germany
                [3 ]ISNI 0000 0001 2190 4373, GRID grid.7700.0, Faculty of Biosciences, , Heidelberg University, ; Heidelberg, Germany
                [4 ]ISNI 0000 0004 0495 846X, GRID grid.4709.a, Genome Biology Unit, EMBL, ; Heidelberg, Germany
                [5 ]ISNI 0000 0001 0328 4908, GRID grid.5253.1, Department of Medicine V, , University Hospital Heidelberg, ; Heidelberg, Germany
                [6 ]ISNI 0000 0004 1937 0650, GRID grid.7400.3, Dept. of Hematology, , University Hospital and University of Zurich, ; Zurich, Switzerland
                Author information
                http://orcid.org/0000-0002-7893-401X
                http://orcid.org/0000-0002-1520-1054
                Article
                30509
                10.1038/s41598-018-30509-3
                6089937
                30104685
                1ac2887b-67f4-48fe-b18c-0fcfd37d2569
                © The Author(s) 2018

                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
                : 17 May 2018
                : 30 July 2018
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