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2.
PeerJ ; 5: e3166, 2017.
Article in English | MEDLINE | ID: mdl-28392986

ABSTRACT

Sensitivity of short read DNA-sequencing for gene fusion detection is improving, but is hampered by the significant amount of noise composed of uninteresting or false positive hits in the data. In this paper we describe a tiered prioritisation approach to extract high impact gene fusion events from existing structural variant calls. Using cell line and patient DNA sequence data we improve the annotation and interpretation of structural variant calls to best highlight likely cancer driving fusions. We also considerably improve on the automated visualisation of the high impact structural variants to highlight the effects of the variants on the resulting transcripts. The resulting framework greatly improves on readily detecting clinically actionable structural variants.

4.
PLoS One ; 12(3): e0173115, 2017.
Article in English | MEDLINE | ID: mdl-28248992

ABSTRACT

BACKGROUND: BET proteins (BRD2, BRD3, BRDT and BRD4) belong to the family of bromodomain containing proteins, which form a class of transcriptional co-regulators. BET proteins bind to acetylated lysine residues in the histones of nucleosomal chromatin and function either as co-activators or co-repressors of gene expression. An imbalance between HAT and HDAC activities resulting in hyperacetylation of histones has been identified in COPD. We hypothesized that pan-BET inhibitor (JQ1) treatment of BET protein interactions with hyperacetylated sites in the chromatin will regulate excessive activation of pro-inflammatory genes in key inflammatory drivers of alveolar macrophages (AM) in COPD. METHODS AND FINDINGS: Transcriptome analysis of AM from COPD patients indicated up-regulation of macrophage M1 type genes upon LPS stimulation. Pan-BET inhibitor JQ1 treatment attenuated expression of multiple genes, including pro-inflammatory cytokines and regulators of innate and adaptive immune cells. We demonstrated for the first time that JQ1 differentially modulated LPS-induced cytokine release from AM or peripheral blood mononuclear cells (PBMC) of COPD patients compared to PBMC of healthy controls. Using the BET regulated gene signature, we identified a subset of COPD patients, which we propose to benefit from BET inhibition. CONCLUSIONS: This work demonstrates that the effects of pan-BET inhibition through JQ1 treatment of inflammatory cells differs between COPD patients and healthy controls, and the expression of BET protein regulated genes is altered in COPD. These findings provide evidence of histone hyperacetylation as a mechanism driving chronic inflammatory changes in COPD.


Subject(s)
Chromatin Assembly and Disassembly , Nuclear Proteins/metabolism , Protein Serine-Threonine Kinases/metabolism , Pulmonary Disease, Chronic Obstructive/metabolism , Transcription Factors/metabolism , Azepines/pharmacology , Case-Control Studies , Cell Cycle Proteins , Cells, Cultured , Chromatin/drug effects , Chromatin/metabolism , Cytokines/genetics , Cytokines/metabolism , Humans , Monocytes/drug effects , Monocytes/metabolism , Nuclear Proteins/genetics , Protein Serine-Threonine Kinases/genetics , Pulmonary Disease, Chronic Obstructive/genetics , RNA-Binding Proteins/genetics , RNA-Binding Proteins/metabolism , Transcription Factors/genetics , Triazoles/pharmacology
5.
Cancer Immunol Res ; 5(1): 29-41, 2017 01.
Article in English | MEDLINE | ID: mdl-27923825

ABSTRACT

Murine syngeneic tumor models are critical to novel immuno-based therapy development, but the molecular and immunologic features of these models are still not clearly defined. The translational relevance of differences between the models is not fully understood, impeding appropriate preclinical model selection for target validation, and ultimately hindering drug development. Across a panel of commonly used murine syngeneic tumor models, we showed variable responsiveness to immunotherapies. We used array comparative genomic hybridization, whole-exome sequencing, exon microarray analysis, and flow cytometry to extensively characterize these models, which revealed striking differences that may underlie these contrasting response profiles. We identified strong differential gene expression in immune-related pathways and changes in immune cell-specific genes that suggested differences in tumor immune infiltrates between models. Further investigation using flow cytometry showed differences in both the composition and magnitude of the tumor immune infiltrates, identifying models that harbor "inflamed" and "non-inflamed" tumor immune infiltrate phenotypes. We also found that immunosuppressive cell types predominated in syngeneic mouse tumor models that did not respond to immune-checkpoint blockade, whereas cytotoxic effector immune cells were enriched in responsive models. A cytotoxic cell-rich tumor immune infiltrate has been correlated with increased efficacy of immunotherapies in the clinic, and these differences could underlie the varying response profiles to immunotherapy between the syngeneic models. This characterization highlighted the importance of extensive profiling and will enable investigators to select appropriate models to interrogate the activity of immunotherapies as well as combinations with targeted therapies in vivo Cancer Immunol Res; 5(1); 29-41. ©2016 AACR.


Subject(s)
Antineoplastic Agents, Immunological/pharmacology , Drug Discovery , Drug Evaluation, Preclinical , Animals , B7-H1 Antigen/antagonists & inhibitors , CTLA-4 Antigen/antagonists & inhibitors , Comparative Genomic Hybridization , DNA Copy Number Variations , Disease Models, Animal , Drug Synergism , Exome , Gene Expression Regulation, Neoplastic/drug effects , Genomics/methods , High-Throughput Nucleotide Sequencing , Immunomodulation/drug effects , Immunomodulation/genetics , Mice , Molecular Targeted Therapy , Mutation , Neoplasms/drug therapy , Neoplasms/genetics , Neoplasms/immunology , Neoplasms/metabolism , Signal Transduction/drug effects , Transcriptome , Tumor Microenvironment/drug effects , Tumor Microenvironment/genetics , Tumor Microenvironment/immunology
6.
Mol Cancer Ther ; 15(11): 2563-2574, 2016 11.
Article in English | MEDLINE | ID: mdl-27573426

ABSTRACT

The bromodomain and extraterminal (BET) protein BRD4 regulates gene expression via recruitment of transcriptional regulatory complexes to acetylated chromatin. Pharmacological targeting of BRD4 bromodomains by small molecule inhibitors has proven to be an effective means to disrupt aberrant transcriptional programs critical for tumor growth and/or survival. Herein, we report AZD5153, a potent, selective, and orally available BET/BRD4 bromodomain inhibitor possessing a bivalent binding mode. Unlike previously described monovalent inhibitors, AZD5153 ligates two bromodomains in BRD4 simultaneously. The enhanced avidity afforded through bivalent binding translates into increased cellular and antitumor activity in preclinical hematologic tumor models. In vivo administration of AZD5153 led to tumor stasis or regression in multiple xenograft models of acute myeloid leukemia, multiple myeloma, and diffuse large B-cell lymphoma. The relationship between AZD5153 exposure and efficacy suggests that prolonged BRD4 target coverage is a primary efficacy driver. AZD5153 treatment markedly affects transcriptional programs of MYC, E2F, and mTOR. Of note, mTOR pathway modulation is associated with cell line sensitivity to AZD5153. Transcriptional modulation of MYC and HEXIM1 was confirmed in AZD5153-treated human whole blood, thus supporting their use as clinical pharmacodynamic biomarkers. This study establishes AZD5153 as a highly potent, orally available BET/BRD4 inhibitor and provides a rationale for clinical development in hematologic malignancies. Mol Cancer Ther; 15(11); 2563-74. ©2016 AACR.


Subject(s)
Antineoplastic Agents/pharmacology , Hematologic Neoplasms/metabolism , Nuclear Proteins/antagonists & inhibitors , Nuclear Proteins/metabolism , Transcription Factors/antagonists & inhibitors , Transcription Factors/metabolism , Animals , Antineoplastic Agents/chemistry , Apoptosis/drug effects , Biomarkers , Cell Cycle Proteins , Cell Line, Tumor , Cell Proliferation/drug effects , Cell Survival/drug effects , Disease Models, Animal , Dose-Response Relationship, Drug , E2F Transcription Factors/genetics , E2F Transcription Factors/metabolism , Female , Gene Expression Profiling , Gene Expression Regulation, Neoplastic/drug effects , Hematologic Neoplasms/drug therapy , Hematologic Neoplasms/genetics , Hematologic Neoplasms/pathology , Humans , Mice , Molecular Targeted Therapy , Nuclear Proteins/chemistry , Protein Binding , Proto-Oncogene Proteins c-myc/genetics , Proto-Oncogene Proteins c-myc/metabolism , Signal Transduction/drug effects , TOR Serine-Threonine Kinases/genetics , TOR Serine-Threonine Kinases/metabolism , Transcription Factors/chemistry , Tumor Burden/drug effects , Xenograft Model Antitumor Assays
7.
F1000Res ; 5: 2741, 2016.
Article in English | MEDLINE | ID: mdl-27990269

ABSTRACT

Grafting of cell lines and primary tumours is a crucial step in the drug development process between cell line studies and clinical trials. Disambiguate is a program for computationally separating the sequencing reads of two species derived from grafted samples. Disambiguate operates on DNA or RNA-seq alignments to the two species and separates the components at very high sensitivity and specificity as illustrated in artificially mixed human-mouse samples. This allows for maximum recovery of data from target tumours for more accurate variant calling and gene expression quantification. Given that no general use open source algorithm accessible to the bioinformatics community exists for the purposes of separating the two species data, the proposed Disambiguate tool presents a novel approach and improvement to performing sequence analysis of grafted samples. Both Python and C++ implementations are available and they are integrated into several open and closed source pipelines. Disambiguate is open source and is freely available at https://github.com/AstraZeneca-NGS/disambiguate.

8.
Cancer Res ; 75(12): 2489-500, 2015 Jun 15.
Article in English | MEDLINE | ID: mdl-25870145

ABSTRACT

Resistance to targeted EGFR inhibitors is likely to develop in EGFR-mutant lung cancers. Early identification of innate or acquired resistance mechanisms to these agents is essential to direct development of future therapies. We describe the detection of heterogeneous mechanisms of resistance within populations of EGFR-mutant cells (PC9 and/or NCI-H1975) with acquired resistance to current and newly developed EGFR tyrosine kinase inhibitors, including AZD9291. We report the detection of NRAS mutations, including a novel E63K mutation, and a gain of copy number of WT NRAS or WT KRAS in cell populations resistant to gefitinib, afatinib, WZ4002, or AZD9291. Compared with parental cells, a number of resistant cell populations were more sensitive to inhibition by the MEK inhibitor selumetinib (AZD6244; ARRY-142886) when treated in combination with the originating EGFR inhibitor. In vitro, a combination of AZD9291 with selumetinib prevented emergence of resistance in PC9 cells and delayed resistance in NCI-H1975 cells. In vivo, concomitant dosing of AZD9291 with selumetinib caused regression of AZD9291-resistant tumors in an EGFRm/T790M transgenic model. Our data support the use of a combination of AZD9291 with a MEK inhibitor to delay or prevent resistance to AZD9291 in EGFRm and/or EGFRm/T790M tumors. Furthermore, these findings suggest that NRAS modifications in tumor samples from patients who have progressed on current or EGFR inhibitors in development may support subsequent treatment with a combination of EGFR and MEK inhibition.


Subject(s)
Acrylamides/pharmacology , Aniline Compounds/pharmacology , ErbB Receptors/antagonists & inhibitors , Acrylamides/administration & dosage , Aniline Compounds/administration & dosage , Animals , Antineoplastic Combined Chemotherapy Protocols/pharmacology , Benzimidazoles/administration & dosage , Cell Line, Tumor , Drug Screening Assays, Antitumor , ErbB Receptors/genetics , Humans , MAP Kinase Signaling System/drug effects , Mice , Mutation , Signal Transduction , ras Proteins/genetics , ras Proteins/metabolism
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