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Signatures of mutational processes in human cancer
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The genomic and transcriptomic architecture of 2000 breast tumours reveals novel subgroups
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Curtis C, Shah SP, Chin SF, Turashvili G, Rueda OM, Dunning MJ, Speed D, Lynch AG, Samarajiwa S, Yuan Y et al.: The genomic and transcriptomic architecture of 2000 breast tumours reveals novel subgroups. Nature 2012, 486:346-352.
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Mutational landscape and significance across 12 major cancer types
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Kandoth C, McLellan MD, Vandin F, Ye K, Niu B, Lu C, Xie M, Zhang Q, McMichael JF, Wyczalkowski MA, Leiserson MD et al.: Mutational landscape and significance across 12 major cancer types. Nature 2013, 502:333-339.
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Kandoth, C.1
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McMichael, J.F.9
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Vogelstein, B.1
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84889600600
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Drugging cancer genomes
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A large-scale computational analysis and commentary from a drug discovery perspective on the public release of massive amounts of data from multiple cancer types. Highlights the need for objective target assessment and prioritization by the drug discovery community to make the best use of such vast amounts of data
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•• Workman P, Al-Lazikani B: Drugging cancer genomes. Nat Rev Drug Discov 2013, 12:889-890. A large-scale computational analysis and commentary from a drug discovery perspective on the public release of massive amounts of data from multiple cancer types. Highlights the need for objective target assessment and prioritization by the drug discovery community to make the best use of such vast amounts of data.
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Nat Rev Drug Discov
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Workman, P.1
Al-Lazikani, B.2
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Genome-wide profiling of genetic synthetic lethality identifies CDK12 as a novel determinant of PARP1/2 inhibitor sensitivity
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Bajrami I, Frankum JR, Konde A, Miller RE, Rehman FL, Brough R, Campbell J, Sims D, Rafiq R, Hooper S et al.: Genome-wide profiling of genetic synthetic lethality identifies CDK12 as a novel determinant of PARP1/2 inhibitor sensitivity. Cancer Res 2014, 74:287-297.
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Objective assessment of cancer genes for drug discovery
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Describes an objective, large-scale systematic, multidisciplinary computational assessment of biological and chemical space that can be applied to large gene sets to allow prioritization of cancer targets for further validation and therapeutic exploration, including consideration of biological and druggability assessment and availability of chemical tools. Use of the new knowledgebase, canSAR, is exemplified by the highlighting of a group of druggable but as yet unexplored targets
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•• Patel MN, Halling-Brown MD, Tym JE, Workman P, Al-Lazikani B: Objective assessment of cancer genes for drug discovery. Nat Rev Drug Discov 2013, 12:35-50. Describes an objective, large-scale systematic, multidisciplinary computational assessment of biological and chemical space that can be applied to large gene sets to allow prioritization of cancer targets for further validation and therapeutic exploration, including consideration of biological and druggability assessment and availability of chemical tools. Use of the new knowledgebase, canSAR, is exemplified by the highlighting of a group of druggable but as yet unexplored targets.
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Nat Rev Drug Discov
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Bioorg Med Chem
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Moellering, R.E.1
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Cooper MJ, Cox NJ, Zimmerman EI, Dewar BJ, Duncan JS, Whittle MC, Nguyen TA, Jones LS, Ghose Roy S, Smalley DM et al. : Application of multiplexed kinase inhibitor beads to study kinome adaptations in drug-resistant leukemia. PLOS ONE 2013, 8:e66755.
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A landmark commentary summarising the current issue of poor data reproducibility in cancer biology related to drug discovery research with recommendations on how to counter this significant issue
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•• Begley CG, Ellis LM: Drug development: raise standards for preclinical cancer research. Nature 2012, 483:531-533. A landmark commentary summarising the current issue of poor data reproducibility in cancer biology related to drug discovery research with recommendations on how to counter this significant issue.
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Using the Bayer experience, the authors illustrate the issue of poor data reproducibility in the context of biological validation for 67 targets, most of which are for oncology indications. Only 20-25% of published findings could be reproduced
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Determination of synthetic lethal interactions in KRAS oncogene-dependent cancer cells reveals novel therapeutic targeting strategies
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Steckel M, Molina-Arcas M, Weigelt B, Marani M, Warne PH, Kuznetsov H, Kelly G, Saunders B, Howell M, Downward J et al.: Determination of synthetic lethal interactions in KRAS oncogene-dependent cancer cells reveals novel therapeutic targeting strategies. Cell Res 2012, 22:1227-1245.
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Brough R, Frankum JR, Sims D, Mackay A, Mendes-Pereira AM, Bajrami I, Costa-Cabral S, Rafiq R, Ahmad AS, Cerone MA, Natrajan R, Sharpe R, Shiu KK, Wetterskog D, Dedes KJ, Lambros MB, Rawjee T, Linardopoulos S, Reis-Filho JS, Turner NC, Lord CJ, Ashworth A: Functional viability profiles of breast cancer. Cancer Discov 2011, 1:260-273.
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The first comprehensive comparison of three large-scale pharmacogenomic studies demonstrating excellent correlation between expression profiles in cell lines profiled across studies but worryingly poor correlation between drug response phenotypes
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Highlights the optimal use of a suite of chemical probes to demonstrate exposure at the site of action, target engagement, functional pharmacology and relevant phenotype, the so-called 'Four Pillars' of cell-based target validation
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Nat Chem Biol
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Excellent overview of target identification and validation approaches in oncology drug discovery
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Methods Mol Biol
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Ho KK, Parnell KM, Yuan Y, Xu Y, Kultgen SG, Hamblin S, Hendrickson TF, Luo B, Foulks JM, McCullar MV et al.: Discovery of 4-phenyl-2-phenylaminopyridine based TNIK inhibitors. Bioorg Med Chem Lett 2013, 23:569-573.
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The first demonstration that genetic disruption of the CDC37-HSP90 protein interaction does not prevent HSP90-client association, thereby devalidating therapeutic approaches to inhibit the CDC37-HSP90 interaction
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Oncogene
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Complementary manuscript to that above which proposes an alternative, non-specific, mode of action for iniparib that is consistent with its chemical structure
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Clin Cancer Res
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Trapping of PARP enzymes caused by small molecule inhibitors provides an unusual case of a different pharmacologic effect when comparing genetic silencing and chemical inhibition
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Identification of a chemical probe for bromo and extra C-terminal bromodomain inhibition through optimization of a fragment-derived hit
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49
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A small molecule modulates jumonji histone demethylase activity and selectively inhibits cancer growth
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The identification, by NMR-based fragment screening, of compounds that bind to an allosteric site on K-Ras
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The discovery and first demonstration that small molecule chemical probes for PDEd suppress oncogenic KRAS signalling opening up new avenues of attack for the hitherto undruggable KRAS oncogene
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