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  • 1
    In: Journal of Molecular Biology, Elsevier BV, Vol. 429, No. 14 ( 2017-07), p. 2211-2230
    Type of Medium: Online Resource
    ISSN: 0022-2836
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2017
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 15_Supplement ( 2015-08-01), p. 3502-3502
    Abstract: Purpose: Combination therapy plays an important role in achieving durable responses in anticancer therapy. Ideally, compound combinations work synergistically in cancer cells and not in non-malignant cells. Here we present a rational approach for identifying pairs of selective inhibitors that show a synergistic interaction only in specific genetic backgrounds, i.e. mutated in the CTNNB1 (β-catenin) or KRAS genes, or expressing amplified MYC. Experimental Procedures: We have established a panel of sixty six genetically well-characterized cell lines that represents the most frequently occurring oncogenic drivers in cancer (1). A collection of more than 100 inhibitors targeting all important oncogenic signaling pathways, including many kinase and epigenetic regulators, was profiled in a subset of forty four cell lines, generating highly reproducible and high-quality cell proliferation data. The inhibitor response was correlated to the genetic background of the cell lines by Anova analysis (1). Compounds that targeted similar subsets of cell lines, were tested in combination for synergistic interaction, using in vitro proliferation assays with equipotent mixtures, followed by curve shift analysis, isobolograms and combination index scoring. The approach was validated by showing that the MEK inhibitor trametinib and the BRAF inhibitor dabrafenib, which are targeted to BRAF-mutant cell lines, show synergistic interaction in this subpopulation, and not in other cell line types. Results: For all inhibitors, the drug response in cell line panel (Oncolines™) was analyzed. Notably, the Wnt-pathway inhibitor ICG-001 and the MEK inhibitor trametinib were shown to preferentially inhibit CTNNB1-mutated cancer cell lines. Neratinib, a spectrum selective EGFR inhibitor, and GSK-1070916, an Aurora kinase inhibitor, were shown to target MYC-amplified cell lines. The ERBB2 inhibitor TAK-165 and trametinib targeted KRAS mutant cell lines. These compounds thus show a pharmacological synthetic lethal effect. Subsequent combination studies showed synergy on cell proliferation in a high number of cases. ICG-001 works synergistically with trametinib in a CTNNB1-mutant colon cell line, and not in CTNNB1-wild type colon cell lines. Neratinib and GSK-1070916 work synergistically in MYC-amplified cell lines and not in non-MYC-amplified lines. Conclusions: Pharmacogenomic analysis of single agent responses identified compounds that preferentially inhibit the growth of cell lines harbouring mutant CTNNB1 or KRAS, or amplified MYC. Synergy studies in the pertinent genetic background identified new combinations of existing drugs with enhanced targeting of CTNNB1-mutated or MYC-amplified cancer cell lines. Our approach can efficiently discover novel drug combinations that target cancer genes more selectively and more potently. References: 1. Uitdehaag et al. (2014) PLOS ONE 9(3) e92146. Citation Format: Joost C.M. Uitdehaag, Jeroen A.D.M. de Roos, Antoon M. van Doornmalen, Martine B.W. Prinsen, Jill A.P. Spijkers - Hagelstein, Judith R.F. de Vetter, Jos de Man, Rogier C. Buijsman, Guido J.R. Zaman. Selective targeting of CTNBB1-, KRAS- or MYC-driven cell growth by combinations of existing drugs. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3502. doi:10.1158/1538-7445.AM2015-3502
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 76, No. 14_Supplement ( 2016-07-15), p. 4635-4635
    Abstract: [purpose] Profiling of drug candidates in cell line panels is an important tool to compare the selectivity and targeting of new anti-cancer agents. In addition, comparative profiling may be used to repurpose established therapeutics by identifying new mechanisms of action or cross-selectivities. [experimental procedures] A collection of more than 120 anti-cancer agents, targeting all important oncogenic signaling pathways, including classic cytotoxic agents as well as many targeted kinase inhibitors and epigenetic modulators, was profiled on a panel of 44 or 66 parallel cell line proliferation assays (Oncolines™) [1,2] . The Oncolines™ profiles of the compounds were compared by Pearson correlations of their inhibitor responses. Inhibitor sets were clustered using hierarchical trees. Response profiles were correlated to the genetic background of the cell lines by Analysis of Variance (Anova). [results] Reproducibility of the NTRC Oncolines™ cell panel was validated by monitoring cell growth rate and the variation in IC50s of replicate profiles over a period of three years. The Pearson correlation between replicates ranged between 0.60 and 0.99 for 16 different inhibitors, depending on dose-response curve shape. Correlation analyses of the & gt; 120 profiled anti-cancer agents revealed separate clusters of, a.o., taxanes, platins, topo-isomerase inhibitors, and EGFR, ABL, MEK and BRAF inhibitors. This demonstrates that the Oncolines™ profiles are an unbiased representation of the compound's mechanisms. The profile of the BTK inhibitor ibrutinib correlated with EGFR inhibitors. In biochemical experiments we showed that this due to its cross-reactivity with EGFR. The six Aurora kinase inhibitors profiled fall into two separate clusters, which are related to their biochemical selectivity. Thus, Aurora A-selective inhibitors are relatively more active in cell lines with mutations in cell cycle checkpoint-related genes such as TP53 and RB1; whereas pan-Aurora inhibitors are more active in cell lines with mutations in growth factor signaling pathways, such as NRAS. Profiling of eleven PI3 kinase and mTOR inhibitors revealed four distinct clusters. PI3Kalpha and PI3Kdelta isoform selective inhibitors each target genetically distinct subgroups of cell lines. Rapamycin-analogs, such as everolimus, specifically target PTEN-mutant cell lines. Finally, profiling of EZH2 inhibitors indicates that there are essentially two classes and that these have a cellular profile that is distinct from HDAC, DOT1L or BET inhibitors. [conclusions] Comparative cancer cell line profiling is a powerful tool to rapidly explore the pharmacogenomics of drug action in cancer cells and to identify new or previously unnoted activities of compounds. [references]: [1] Uitdehaag et al. (2014) PLOS ONE 9(3) e92146; [2] Uitdehaag et al. (2015) PLOS ONE 10(6) e0132230. Citation Format: Joost C.M. Uitdehaag, Jeroen A.D.M. de Roos, Martine B.W. Prinsen, Judith R.F. de Vetter, Jelle Dylus, Antoon M. van Doornmalen, Suzanne J.C. van Gerwen, Jos de Man, Rogier C. Buijsman, Guido J.R. Zaman. Comparative cancer cell line profiling differentiates the mechanism of action of different PI3K/mTOR, Aurora kinase and EZH2 inhibitors. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4635.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
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  • 4
    In: Molecular Cancer Therapeutics, American Association for Cancer Research (AACR), Vol. 15, No. 12 ( 2016-12-01), p. 3097-3109
    Abstract: Cancer cell line panels are important tools to characterize the in vitro activity of new investigational drugs. Here, we present the inhibition profiles of 122 anticancer agents in proliferation assays with 44 or 66 genetically characterized cancer cell lines from diverse tumor tissues (Oncolines). The library includes 29 cytotoxics, 68 kinase inhibitors, and 11 epigenetic modulators. For 38 compounds this is the first comparative profiling in a cell line panel. By strictly maintaining optimized assay protocols, biological variation was kept to a minimum. Replicate profiles of 16 agents over three years show a high average Pearson correlation of 0.8 using IC50 values and 0.9 using GI50 values. Good correlations were observed with other panels. Curve fitting appears a large source of variation. Hierarchical clustering revealed 44 basic clusters, of which 26 contain compounds with common mechanisms of action, of which 9 were not reported before, including TTK, BET and two clusters of EZH2 inhibitors. To investigate unexpected clusterings, sets of BTK, Aurora and PI3K inhibitors were profiled in biochemical enzyme activity assays and surface plasmon resonance binding assays. The BTK inhibitor ibrutinib clusters with EGFR inhibitors, because it cross-reacts with EGFR. Aurora kinase inhibitors separate into two clusters, related to Aurora A or pan-Aurora selectivity. Similarly, 12 inhibitors in the PI3K/AKT/mTOR pathway separated into different clusters, reflecting biochemical selectivity (pan-PI3K, PI3Kβγδ-isoform selective or mTOR-selective). Of these, only allosteric mTOR inhibitors preferentially targeted PTEN-mutated cell lines. This shows that cell line profiling is an excellent tool for the unbiased classification of antiproliferative compounds. Mol Cancer Ther; 15(12); 3097–109. ©2016 AACR.
    Type of Medium: Online Resource
    ISSN: 1535-7163 , 1538-8514
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
    detail.hit.zdb_id: 2062135-8
    SSG: 12
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  • 5
    In: Journal of Molecular Biology, Elsevier BV, Vol. 429, No. 4 ( 2017-02), p. 574-586
    Type of Medium: Online Resource
    ISSN: 0022-2836
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2017
    detail.hit.zdb_id: 1355192-9
    SSG: 12
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