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Sabina M, Barakat Z, Feliciano A, Lamb A, Alsamman MM. Unlocking the Potential of Acetazolamide: A Literature Review of an Adjunctive Approach in Heart Failure Management. J Clin Med 2024; 13:288. [PMID: 38202295 PMCID: PMC10780103 DOI: 10.3390/jcm13010288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 12/28/2023] [Accepted: 01/01/2024] [Indexed: 01/12/2024] Open
Abstract
Background: Heart failure (HF) patients often experience persistent fluid overload despite standard diuretic therapy. The adjunctive use of acetazolamide, a carbonic anhydrase inhibitor, in combination with loop diuretics has shown promise in improving decongestion and diuretic efficacy. This literature review aims to analyze six studies evaluating the effectiveness of acetazolamide as an additive treatment for acute decompensated heart failure (ADHF) and its impact on various outcomes. Methods: We searched the PubMed database using the terms "acetazolamide heart failure". We refined our search with specific filters (as shown our PRISMA flow diagram) and exclusion criteria, narrowing down our results to five studies. We included an extra study via expert recommendation, ultimately including six studies for comprehensive analysis. Results: The review highlights the positive effects of acetazolamide on decongestion, natriuresis, and diuresis in HF patients. However, it also showcases the limitations of these trials. Discussion: While the reviewed studies demonstrate the potential benefits of acetazolamide in enhancing decongestion and diuretic efficiency, there are limitations to consider, including small sample sizes, lack of blinding, and limited external validity. Further research is needed to confirm these findings, compare acetazolamide with other diuretic combinations, and explore its effects in a broader population of heart failure patients, including those in the United States. The use of acetazolamide in HF management warrants continued investigation to optimize its role in improving decongestion and patient outcomes.
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Affiliation(s)
- Michael Sabina
- Lakeland Regional Health Medical Center, Lakeland 33805-4500, FL, USA; (Z.B.); (A.F.); (A.L.); (M.M.A.)
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2
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Erickson A, Berglund E, He M, Marklund M, Mirzazadeh R, Schultz N, Bergenstråhle L, Kvastad L, Andersson A, Bergenstråhle J, Larsson L, Rajakumar T, Thrane K, Ji A, Tarish F, Tanoglidi A, Maaskola J, Colling R, Mirtti T, Hamdy F, Woodcock D, Helleday T, Mills I, Lamb A, Lundenberg J. The spatial landscape of clonal somatic mutations in benign and malignant prostate epithelia. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)00563-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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3
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Stray B, Lamb A, Kaushik A, Vovrosh J, Rodgers A, Winch J, Hayati F, Boddice D, Stabrawa A, Niggebaum A, Langlois M, Lien YH, Lellouch S, Roshanmanesh S, Ridley K, de Villiers G, Brown G, Cross T, Tuckwell G, Faramarzi A, Metje N, Bongs K, Holynski M. Quantum sensing for gravity cartography. Nature 2022; 602:590-594. [PMID: 35197616 PMCID: PMC8866129 DOI: 10.1038/s41586-021-04315-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 12/07/2021] [Indexed: 11/08/2022]
Abstract
The sensing of gravity has emerged as a tool in geophysics applications such as engineering and climate research1-3, including the monitoring of temporal variations in aquifers4 and geodesy5. However, it is impractical to use gravity cartography to resolve metre-scale underground features because of the long measurement times needed for the removal of vibrational noise6. Here we overcome this limitation by realizing a practical quantum gravity gradient sensor. Our design suppresses the effects of micro-seismic and laser noise, thermal and magnetic field variations, and instrument tilt. The instrument achieves a statistical uncertainty of 20 E (1 E = 10-9 s-2) and is used to perform a 0.5-metre-spatial-resolution survey across an 8.5-metre-long line, detecting a 2-metre tunnel with a signal-to-noise ratio of 8. Using a Bayesian inference method, we determine the centre to ±0.19 metres horizontally and the centre depth as (1.89 -0.59/+2.3) metres. The removal of vibrational noise enables improvements in instrument performance to directly translate into reduced measurement time in mapping. The sensor parameters are compatible with applications in mapping aquifers and evaluating impacts on the water table7, archaeology8-11, determination of soil properties12 and water content13, and reducing the risk of unforeseen ground conditions in the construction of critical energy, transport and utilities infrastructure14, providing a new window into the underground.
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Affiliation(s)
- Ben Stray
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | - Andrew Lamb
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | - Aisha Kaushik
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | - Jamie Vovrosh
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | - Anthony Rodgers
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | - Jonathan Winch
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | - Farzad Hayati
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | - Daniel Boddice
- School of Engineering, University of Birmingham, Birmingham, UK
| | - Artur Stabrawa
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | - Alexander Niggebaum
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | - Mehdi Langlois
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | - Yu-Hung Lien
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | - Samuel Lellouch
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | | | - Kevin Ridley
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | - Geoffrey de Villiers
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | | | | | - George Tuckwell
- School of Engineering, University of Birmingham, Birmingham, UK
- RSK, Hemel Hempstead, UK
| | - Asaad Faramarzi
- School of Engineering, University of Birmingham, Birmingham, UK
| | - Nicole Metje
- School of Engineering, University of Birmingham, Birmingham, UK
| | - Kai Bongs
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | - Michael Holynski
- Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Birmingham, Birmingham, UK.
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4
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Creason A, Haan D, Dang K, Chiotti KE, Inkman M, Lamb A, Yu T, Hu Y, Norman TC, Buchanan A, van Baren MJ, Spangler R, Rollins MR, Spellman PT, Rozanov D, Zhang J, Maher CA, Caloian C, Watson JD, Uhrig S, Haas BJ, Jain M, Akeson M, Ahsen ME, Stolovitzky G, Guinney J, Boutros PC, Stuart JM, Ellrott K. A community challenge to evaluate RNA-seq, fusion detection, and isoform quantification methods for cancer discovery. Cell Syst 2021; 12:827-838.e5. [PMID: 34146471 PMCID: PMC8376800 DOI: 10.1016/j.cels.2021.05.021] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 09/15/2020] [Accepted: 05/25/2021] [Indexed: 02/03/2023]
Abstract
The accurate identification and quantitation of RNA isoforms present in the cancer transcriptome is key for analyses ranging from the inference of the impacts of somatic variants to pathway analysis to biomarker development and subtype discovery. The ICGC-TCGA DREAM Somatic Mutation Calling in RNA (SMC-RNA) challenge was a crowd-sourced effort to benchmark methods for RNA isoform quantification and fusion detection from bulk cancer RNA sequencing (RNA-seq) data. It concluded in 2018 with a comparison of 77 fusion detection entries and 65 isoform quantification entries on 51 synthetic tumors and 32 cell lines with spiked-in fusion constructs. We report the entries used to build this benchmark, the leaderboard results, and the experimental features associated with the accurate prediction of RNA species. This challenge required submissions to be in the form of containerized workflows, meaning each of the entries described is easily reusable through CWL and Docker containers at https://github.com/SMC-RNA-challenge. A record of this paper's transparent peer review process is included in the supplemental information.
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Affiliation(s)
- Allison Creason
- Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA
| | - David Haan
- Biomolecular Engineering and UC Santa Cruz Genome Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | | | - Kami E. Chiotti
- Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA
| | - Matthew Inkman
- The Genome Institute, Washington University School of Medicine, 4444 Forest Park Avenue, St. Louis, MO 63110, USA
| | | | | | - Yin Hu
- Sage Bionetworks, Seattle, WA, USA
| | | | - Alex Buchanan
- Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA
| | - Marijke J. van Baren
- Biomolecular Engineering and UC Santa Cruz Genome Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Ryan Spangler
- Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA
| | - M. Rick Rollins
- Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA
| | - Paul T. Spellman
- Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA
| | - Dmitri Rozanov
- Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA
| | - Jin Zhang
- The Genome Institute, Washington University School of Medicine, 4444 Forest Park Avenue, St. Louis, MO 63110, USA
| | - Christopher A. Maher
- The Genome Institute, Washington University School of Medicine, 4444 Forest Park Avenue, St. Louis, MO 63110, USA
| | - Cristian Caloian
- Computational Biology, Ontario Institute for Cancer Research, Toronto, Canada
| | - John D. Watson
- Computational Biology, Ontario Institute for Cancer Research, Toronto, Canada
| | - Sebastian Uhrig
- Division of Applied Bioinformatics, German Cancer Research Center (DKFZ) and Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Brian J. Haas
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Miten Jain
- Biomolecular Engineering and UC Santa Cruz Genome Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Mark Akeson
- Biomolecular Engineering and UC Santa Cruz Genome Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Mehmet Eren Ahsen
- Icahn School of Medicine at Mount Sinai, Department of Genetics and Genomic Sciences, One Gustave Levy Place, New York, NY 1498, USA
| | | | - Gustavo Stolovitzky
- Icahn School of Medicine at Mount Sinai, Department of Genetics and Genomic Sciences, One Gustave Levy Place, New York, NY 1498, USA,IBM T.J. Watson Research Center, 1101 Kitchawan Road, Route 134, Yorktown Heights, NY 10598, USA
| | | | - Paul C. Boutros
- Computational Biology, Ontario Institute for Cancer Research, Toronto, Canada,Departments of Medical Biophysics and Pharmacology & Toxicology, University of Toronto, Toronto, Canada,Departments of Human Genetics and Urology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Joshua M. Stuart
- Biomolecular Engineering and UC Santa Cruz Genome Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Kyle Ellrott
- Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA,Lead contact,Correspondence:
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5
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Cichońska A, Ravikumar B, Allaway RJ, Wan F, Park S, Isayev O, Li S, Mason M, Lamb A, Tanoli Z, Jeon M, Kim S, Popova M, Capuzzi S, Zeng J, Dang K, Koytiger G, Kang J, Wells CI, Willson TM, Oprea TI, Schlessinger A, Drewry DH, Stolovitzky G, Wennerberg K, Guinney J, Aittokallio T. Crowdsourced mapping of unexplored target space of kinase inhibitors. Nat Commun 2021; 12:3307. [PMID: 34083538 PMCID: PMC8175708 DOI: 10.1038/s41467-021-23165-1] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Accepted: 04/15/2021] [Indexed: 12/31/2022] Open
Abstract
Despite decades of intensive search for compounds that modulate the activity of particular protein targets, a large proportion of the human kinome remains as yet undrugged. Effective approaches are therefore required to map the massive space of unexplored compound-kinase interactions for novel and potent activities. Here, we carry out a crowdsourced benchmarking of predictive algorithms for kinase inhibitor potencies across multiple kinase families tested on unpublished bioactivity data. We find the top-performing predictions are based on various models, including kernel learning, gradient boosting and deep learning, and their ensemble leads to a predictive accuracy exceeding that of single-dose kinase activity assays. We design experiments based on the model predictions and identify unexpected activities even for under-studied kinases, thereby accelerating experimental mapping efforts. The open-source prediction algorithms together with the bioactivities between 95 compounds and 295 kinases provide a resource for benchmarking prediction algorithms and for extending the druggable kinome.
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Affiliation(s)
- Anna Cichońska
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Department of Computer Science, Helsinki Institute for Information Technology (HIIT), Aalto University, Espoo, Finland
- Department of Computing, University of Turku, Turku, Finland
| | - Balaguru Ravikumar
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | | | - Fangping Wan
- Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China
| | - Sungjoon Park
- Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea
| | - Olexandr Isayev
- Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Shuya Li
- Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China
| | - Michael Mason
- Computational Oncology, Sage Bionetworks, Seattle, WA, USA
| | - Andrew Lamb
- Computational Oncology, Sage Bionetworks, Seattle, WA, USA
| | - Ziaurrehman Tanoli
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Minji Jeon
- Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea
| | - Sunkyu Kim
- Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea
| | - Mariya Popova
- Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Stephen Capuzzi
- Laboratory for Molecular Modeling, Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | - Jianyang Zeng
- Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China
| | - Kristen Dang
- Computational Oncology, Sage Bionetworks, Seattle, WA, USA
| | | | - Jaewoo Kang
- Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea
| | - Carrow I Wells
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | - Timothy M Willson
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | - Tudor I Oprea
- Translational Informatics Division and Comprehensive Cancer Center, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Avner Schlessinger
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David H Drewry
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | | | - Krister Wennerberg
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark.
| | - Justin Guinney
- Computational Oncology, Sage Bionetworks, Seattle, WA, USA.
| | - Tero Aittokallio
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
- Department of Computer Science, Helsinki Institute for Information Technology (HIIT), Aalto University, Espoo, Finland.
- Department of Mathematics and Statistics, University of Turku, Turku, Finland.
- Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
- Oslo Centre for Biostatistics and Epidemiology (OCBE), University of Oslo, Oslo, Norway.
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6
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Chabanon RM, Morel D, Eychenne T, Colmet-Daage L, Bajrami I, Dorvault N, Garrido M, Meisenberg C, Lamb A, Ngo C, Hopkins SR, Roumeliotis TI, Jouny S, Hénon C, Kawai-Kawachi A, Astier C, Konde A, Del Nery E, Massard C, Pettitt SJ, Margueron R, Choudhary JS, Almouzni G, Soria JC, Deutsch E, Downs JA, Lord CJ, Postel-Vinay S. PBRM1 Deficiency Confers Synthetic Lethality to DNA Repair Inhibitors in Cancer. Cancer Res 2021; 81:2888-2902. [PMID: 33888468 DOI: 10.1158/0008-5472.can-21-0628] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 03/17/2021] [Accepted: 03/19/2021] [Indexed: 11/16/2022]
Abstract
Inactivation of Polybromo 1 (PBRM1), a specific subunit of the PBAF chromatin remodeling complex, occurs frequently in cancer, including 40% of clear cell renal cell carcinomas (ccRCC). To identify novel therapeutic approaches to targeting PBRM1-defective cancers, we used a series of orthogonal functional genomic screens that identified PARP and ATR inhibitors as being synthetic lethal with PBRM1 deficiency. The PBRM1/PARP inhibitor synthetic lethality was recapitulated using several clinical PARP inhibitors in a series of in vitro model systems and in vivo in a xenograft model of ccRCC. In the absence of exogenous DNA damage, PBRM1-defective cells exhibited elevated levels of replication stress, micronuclei, and R-loops. PARP inhibitor exposure exacerbated these phenotypes. Quantitative mass spectrometry revealed that multiple R-loop processing factors were downregulated in PBRM1-defective tumor cells. Exogenous expression of the R-loop resolution enzyme RNase H1 reversed the sensitivity of PBRM1-deficient cells to PARP inhibitors, suggesting that excessive levels of R-loops could be a cause of this synthetic lethality. PARP and ATR inhibitors also induced cyclic GMP-AMP synthase/stimulator of interferon genes (cGAS/STING) innate immune signaling in PBRM1-defective tumor cells. Overall, these findings provide the preclinical basis for using PARP inhibitors in PBRM1-defective cancers. SIGNIFICANCE: This study demonstrates that PARP and ATR inhibitors are synthetic lethal with the loss of PBRM1, a PBAF-specific subunit, thus providing the rationale for assessing these inhibitors in patients with PBRM1-defective cancer. GRAPHICAL ABSTRACT: http://cancerres.aacrjournals.org/content/canres/81/11/2888/F1.large.jpg.
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MESH Headings
- Animals
- Apoptosis
- Ataxia Telangiectasia Mutated Proteins/antagonists & inhibitors
- Carcinoma, Non-Small-Cell Lung/drug therapy
- Carcinoma, Non-Small-Cell Lung/genetics
- Carcinoma, Non-Small-Cell Lung/metabolism
- Carcinoma, Non-Small-Cell Lung/pathology
- Carcinoma, Renal Cell/drug therapy
- Carcinoma, Renal Cell/genetics
- Carcinoma, Renal Cell/metabolism
- Carcinoma, Renal Cell/pathology
- Cell Proliferation
- DNA Repair
- DNA-Binding Proteins/deficiency
- Female
- Gene Expression Regulation, Neoplastic/drug effects
- Humans
- Kidney Neoplasms/drug therapy
- Kidney Neoplasms/genetics
- Kidney Neoplasms/metabolism
- Kidney Neoplasms/pathology
- Lung Neoplasms/drug therapy
- Lung Neoplasms/genetics
- Lung Neoplasms/metabolism
- Lung Neoplasms/pathology
- Mice
- Mice, Inbred NOD
- Mice, SCID
- Poly(ADP-ribose) Polymerase Inhibitors/pharmacology
- Synthetic Lethal Mutations
- Transcription Factors/deficiency
- Tumor Cells, Cultured
- Xenograft Model Antitumor Assays
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Affiliation(s)
- Roman M Chabanon
- ATIP-Avenir group, Inserm Unit U981, Gustave Roussy, Villejuif, France
- The CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Daphné Morel
- ATIP-Avenir group, Inserm Unit U981, Gustave Roussy, Villejuif, France
- Université Paris Saclay, Université Paris-Sud, Faculté de Médicine, Le Kremlin Bicêtre, France
| | - Thomas Eychenne
- ATIP-Avenir group, Inserm Unit U981, Gustave Roussy, Villejuif, France
| | - Léo Colmet-Daage
- ATIP-Avenir group, Inserm Unit U981, Gustave Roussy, Villejuif, France
| | - Ilirjana Bajrami
- The CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Nicolas Dorvault
- ATIP-Avenir group, Inserm Unit U981, Gustave Roussy, Villejuif, France
| | - Marlène Garrido
- ATIP-Avenir group, Inserm Unit U981, Gustave Roussy, Villejuif, France
| | - Cornelia Meisenberg
- Epigenetics and Genome Stability Team, The Institute of Cancer Research, London, United Kingdom
| | | | - Carine Ngo
- ATIP-Avenir group, Inserm Unit U981, Gustave Roussy, Villejuif, France
| | - Suzanna R Hopkins
- Epigenetics and Genome Stability Team, The Institute of Cancer Research, London, United Kingdom
| | | | - Samuel Jouny
- The CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Clémence Hénon
- ATIP-Avenir group, Inserm Unit U981, Gustave Roussy, Villejuif, France
| | | | - Clémence Astier
- ATIP-Avenir group, Inserm Unit U981, Gustave Roussy, Villejuif, France
| | - Asha Konde
- The CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Elaine Del Nery
- Institut Curie, PSL Research University, Department of Translational Research, The Biophenics High-Content Screening Laboratory, Cell and Tissue Imaging Facility (PICT-IBiSA), Paris, France
| | | | - Stephen J Pettitt
- The CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Raphaël Margueron
- Institut Curie, PSL Research University, INSERM Unit U934, CNRS UMR 3215, Paris, France
| | - Jyoti S Choudhary
- Functional Proteomics Team, The Institute of Cancer Research, London, United Kingdom
| | - Geneviève Almouzni
- Institut Curie, PSL Research University, CNRS, UMR 3664, Equipe Labellisée Ligue contre le Cancer, Paris, France
- Sorbonne Universités, UPMC Université Paris-VI, CNRS, UMR3664, Paris, France
| | - Jean-Charles Soria
- Université Paris Saclay, Université Paris-Sud, Faculté de Médicine, Le Kremlin Bicêtre, France
| | - Eric Deutsch
- Université Paris Saclay, Université Paris-Sud, Faculté de Médicine, Le Kremlin Bicêtre, France
- INSERM UMR1030 Molecular Radiotherapy and Therapeutic Innovations, Gustave Roussy, Villejuif, France
| | - Jessica A Downs
- Epigenetics and Genome Stability Team, The Institute of Cancer Research, London, United Kingdom
| | - Christopher J Lord
- The CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom.
| | - Sophie Postel-Vinay
- ATIP-Avenir group, Inserm Unit U981, Gustave Roussy, Villejuif, France.
- Université Paris Saclay, Université Paris-Sud, Faculté de Médicine, Le Kremlin Bicêtre, France
- Drug Development Department, DITEP, Gustave Roussy, Villejuif, France
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7
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Charlton P, O'Reilly D, Philippou Y, Rao S, Lamb A, Higgins G, Hamdy F, Verrill C, Bryant R, Buffa F. PO-1160: A pilot dual-platform transcriptomic analysis of diagnostic prostate biopsies & radical RT response. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01178-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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8
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Wells DK, van Buuren MM, Dang KK, Hubbard-Lucey VM, Sheehan KCF, Campbell KM, Lamb A, Ward JP, Sidney J, Blazquez AB, Rech AJ, Zaretsky JM, Comin-Anduix B, Ng AHC, Chour W, Yu TV, Rizvi H, Chen JM, Manning P, Steiner GM, Doan XC, Merghoub T, Guinney J, Kolom A, Selinsky C, Ribas A, Hellmann MD, Hacohen N, Sette A, Heath JR, Bhardwaj N, Ramsdell F, Schreiber RD, Schumacher TN, Kvistborg P, Defranoux NA. Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction. Cell 2020; 183:818-834.e13. [PMID: 33038342 DOI: 10.1016/j.cell.2020.09.015] [Citation(s) in RCA: 223] [Impact Index Per Article: 55.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 07/08/2020] [Accepted: 09/03/2020] [Indexed: 12/15/2022]
Abstract
Many approaches to identify therapeutically relevant neoantigens couple tumor sequencing with bioinformatic algorithms and inferred rules of tumor epitope immunogenicity. However, there are no reference data to compare these approaches, and the parameters governing tumor epitope immunogenicity remain unclear. Here, we assembled a global consortium wherein each participant predicted immunogenic epitopes from shared tumor sequencing data. 608 epitopes were subsequently assessed for T cell binding in patient-matched samples. By integrating peptide features associated with presentation and recognition, we developed a model of tumor epitope immunogenicity that filtered out 98% of non-immunogenic peptides with a precision above 0.70. Pipelines prioritizing model features had superior performance, and pipeline alterations leveraging them improved prediction performance. These findings were validated in an independent cohort of 310 epitopes prioritized from tumor sequencing data and assessed for T cell binding. This data resource enables identification of parameters underlying effective anti-tumor immunity and is available to the research community.
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Affiliation(s)
- Daniel K Wells
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA.
| | - Marit M van Buuren
- Division of Molecular Oncology and Immunology, the Netherlands Cancer Institute, Amsterdam, the Netherlands; T Cell Immunology, Biopharmaceutical New Technologies (BioNTech) Corporation, BioNTech US, Cambridge, MA, USA
| | - Kristen K Dang
- Computational Oncology, Sage Bionetworks, Seattle, WA, USA
| | | | - Kathleen C F Sheehan
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, St. Louis, MO, USA; The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - Katie M Campbell
- Division of Hematology and Oncology, Department of Medicine, Johnson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Andrew Lamb
- Computational Oncology, Sage Bionetworks, Seattle, WA, USA
| | - Jeffrey P Ward
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - John Sidney
- Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA
| | - Ana B Blazquez
- Division of Hematology and Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrew J Rech
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Jesse M Zaretsky
- Division of Hematology and Oncology, Department of Medicine, Johnson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Begonya Comin-Anduix
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Department of Surgery, David Geffen School of Medicine, Johnson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | | | - William Chour
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Thomas V Yu
- Computational Oncology, Sage Bionetworks, Seattle, WA, USA
| | - Hira Rizvi
- Druckenmiller Center for Lung Cancer Research, MSKCC, New York, NY, USA
| | - Jia M Chen
- Division of Hematology and Oncology, Department of Medicine, Johnson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Patrice Manning
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | | | - Xengie C Doan
- Computational Oncology, Sage Bionetworks, Seattle, WA, USA
| | - Taha Merghoub
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Department of Medicine, MSKCC, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Justin Guinney
- Computational Oncology, Sage Bionetworks, Seattle, WA, USA; Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA
| | - Adam Kolom
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Anna-Maria Kellen Clinical Accelerator, Cancer Research Institute, New York, NY, USA
| | - Cheryl Selinsky
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Antoni Ribas
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Division of Hematology and Oncology, Department of Medicine, Johnson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Matthew D Hellmann
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Druckenmiller Center for Lung Cancer Research, MSKCC, New York, NY, USA; Department of Medicine, MSKCC, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Nir Hacohen
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Alessandro Sette
- Division of Hematology and Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - James R Heath
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Institute for Systems Biology, Seattle, WA, USA
| | - Nina Bhardwaj
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Division of Hematology and Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Fred Ramsdell
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Robert D Schreiber
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, St. Louis, MO, USA; The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - Ton N Schumacher
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Pia Kvistborg
- Division of Molecular Oncology and Immunology, the Netherlands Cancer Institute, Amsterdam, the Netherlands
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9
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Chabanon RM, Morel D, Colmet-Daage L, Eychenne T, Dorvault N, Bajrami I, Garrido M, Hopkins S, Meisenberg C, Lamb A, Roumeliotis T, Jouny S, Astier C, Konde A, Almouzni G, Choudhary J, Soria JC, Downs J, Lord CJ, Postel-Vinay S. Abstract 1058: Targeting chromatin remodeling-associated genetic vulnerabilities in cancer: PBRM1 defects are synthetic lethal with PARP and ATR inhibitors. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-1058] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Aim: Polybromo-1 (PBRM1), a specific subunit of the pBAF chromatin remodeling complex, is frequently inactivated in cancer. For example, 40% of clear cell Renal Cell Carcinoma (ccRCC) and 15% of cholangiocarcinoma present deleterious PBRM1 mutations. There is currently no precision medicine-based therapeutic approach that targets PBRM1 defects. To identify novel, targeted therapeutic strategies for PBRM1-defective cancers, we carried out high-throughput functional genomics and drug screenings followed by in vitro and in vivo validation studies.
Methods: High-throughput siRNA-drug sensitization and drug sensitivity screens evaluating > 150 cancer-relevant small molecules in dose-response were performed in Pbrm1 siRNA-transfected mouse embryonic stem cells (mES) and isogenic PBRM1-KO or -WT HAP1 cells, respectively. After identification of PBRM1-selective small molecules, revalidation was carried out in a series of in-house-generated isogenic models of PBRM1 deficiency - including 786-O (ccRCC), A498 (ccRCC), U2OS (osteosarcoma) and H1299 (non-small cell lung cancer) human cancer cell lines - and non-isogenic ccRCC models, using multiple clinical compounds. Mechanistic dissection was performed using immunofluorescence, RT-qPCR, western blotting, DNA fiber assay, transcriptomics, proteomics and DRIP-sequencing to evaluate markers of DNA damage response (DDR), replication stress and cell-autonomous innate immune signaling. Preclinical data were integrated with TCGA tumor data.
Results: Parallel high-throughput drug screens independently identified PARP inhibitors (PARPi) as being synthetic lethal with PBRM1 defects - a cell type-independent effect which was exacerbated by ATR inhibitors (ATRi) and which we revalidated in vitro in isogenic and non-isogenic systems and in vivo in a xenograft model. PBRM1 defects were associated with increased replication fork stress (higher γH2AX and RPA foci levels, decreased replication fork speed and increased ATM checkpoint activation), R-loop accumulation and enhanced genomic instability in vitro; these effects were exacerbated upon PARPi exposure. In patient tumor samples, we also found that PBRM1-mutant cancers possessed a higher mutational load. Finally, we found that ATRi selectively activated the cGAS/STING cytosolic DNA sensing pathway in PBRM1-deficient cells, resulting in increased expression of type I interferon genes.
Conclusion: PBRM1-defective cancer cells present increased replication fork stress, R-loop formation, genome instability and are selectively sensitive to PARPi and ATRi through a synthetic lethal mechanism that is cell type-independent. Our data provide the pre-clinical rationale for assessing PARPi as a monotherapy or in combination with ATRi or immune-modulating agents in molecularly-selected patients with PBRM1-defective cancers.
Citation Format: Roman Merial Chabanon, Daphné Morel, Léo Colmet-Daage, Thomas Eychenne, Nicolas Dorvault, Ilirjana Bajrami, Marlène Garrido, Suzanna Hopkins, Cornelia Meisenberg, Andrew Lamb, Theo Roumeliotis, Samuel Jouny, Clémence Astier, Asha Konde, Geneviève Almouzni, Jyoti Choudhary, Jean-Charles Soria, Jessica Downs, Christopher J. Lord, Sophie Postel-Vinay. Targeting chromatin remodeling-associated genetic vulnerabilities in cancer: PBRM1 defects are synthetic lethal with PARP and ATR inhibitors [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1058.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Samuel Jouny
- 3Institute of Cancer Research, London, United Kingdom
| | | | - Asha Konde
- 3Institute of Cancer Research, London, United Kingdom
| | | | | | - Jean-Charles Soria
- 6Université Paris-Sud/Université Paris-Saclay, Le Kremlin-Bicêtre, France
| | - Jessica Downs
- 3Institute of Cancer Research, London, United Kingdom
| | | | - Sophie Postel-Vinay
- 7Gustave Roussy Cancer Campus and U981 INSERM, ATIP-Avenir group, Villejuif, France
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10
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Laggis CW, Lamb A, Secrest AM, Ufkes N, Halwani AS, Tao R, Gaffney D, Miles RR, Florell SR, Wada D. Favourable outcomes in folliculotropic mycosis fungoides after multimodality treatment in a single institution. J Eur Acad Dermatol Venereol 2020; 35:e42-e45. [PMID: 32594555 DOI: 10.1111/jdv.16790] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 06/11/2020] [Accepted: 06/24/2020] [Indexed: 12/16/2022]
Affiliation(s)
- C W Laggis
- Department of Dermatology, University of Utah, Salt Lake City, UT, USA
| | - A Lamb
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - A M Secrest
- Department of Dermatology, University of Utah, Salt Lake City, UT, USA.,Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - N Ufkes
- Medical University of South Carolina School of Medicine, Charleston, SC, USA
| | - A S Halwani
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Oncology, University of Utah, Salt Lake City, UT, USA
| | - R Tao
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Radiation Oncology, University of Utah, Salt Lake City, UT, USA
| | - D Gaffney
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Radiation Oncology, University of Utah, Salt Lake City, UT, USA
| | - R R Miles
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Pathology, University of Utah, Salt Lake City, UT, USA.,ARUP Laboratories, Salt Lake City, UT, USA
| | - S R Florell
- Department of Dermatology, University of Utah, Salt Lake City, UT, USA
| | - D Wada
- Department of Dermatology, University of Utah, Salt Lake City, UT, USA.,Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
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11
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Boueiz A, Pham B, Chase R, Lamb A, Lee S, Naing ZZC, Cho MH, Parker MM, Sakornsakolpat P, Hersh CP, Crapo JD, Stergachis AB, Tal-Singer R, DeMeo DL, Silverman EK, Zhou X, Castaldi PJ. Integrative Genomics Analysis Identifies ACVR1B as a Candidate Causal Gene of Emphysema Distribution. Am J Respir Cell Mol Biol 2019; 60:388-398. [PMID: 30335480 DOI: 10.1165/rcmb.2018-0110oc] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Genome-wide association studies (GWAS) have identified multiple associations with emphysema apicobasal distribution (EABD), but the biological functions of these variants are unknown. To characterize the functions of EABD-associated variants, we integrated GWAS results with 1) expression quantitative trait loci (eQTL) from the Genotype Tissue Expression (GTEx) project and subjects in the COPDGene (Genetic Epidemiology of COPD) study and 2) cell type epigenomic marks from the Roadmap Epigenomics project. On the basis of these analyses, we selected a variant near ACVR1B (activin A receptor type 1B) for functional validation. SNPs from 168 loci with P values less than 5 × 10-5 in the largest GWAS meta-analysis of EABD were analyzed. Eighty-four loci overlapped eQTL, with 12 of these loci showing greater than 80% likelihood of harboring a single, shared GWAS and eQTL causal variant. Seventeen cell types were enriched for overlap between EABD loci and Roadmap Epigenomics marks (permutation P < 0.05), with the strongest enrichment observed in CD4+, CD8+, and regulatory T cells. We selected a putative causal variant, rs7962469, associated with ACVR1B expression in lung tissue for additional functional investigation, and reporter assays confirmed allele-specific regulatory activity for this variant in human bronchial epithelial and Jurkat immune cell lines. ACVR1B expression levels exhibit a nominally significant association with emphysema distribution. EABD-associated loci are preferentially enriched in regulatory elements of multiple cell types, most notably T-cell subsets. Multiple EABD loci colocalize to regulatory elements that are active across multiple tissues and cell types, and functional analyses confirm the presence of an EABD-associated functional variant that regulates ACVR1B expression, indicating that transforming growth factor-β signaling plays a role in the EABD phenotype. Clinical trial registered with www.clinicaltrials.gov (NCT00608764).
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Affiliation(s)
- Adel Boueiz
- 1 Channing Division of Network Medicine.,2 Division of Pulmonary and Critical Care Medicine
| | | | | | | | - Sool Lee
- 1 Channing Division of Network Medicine
| | | | - Michael H Cho
- 1 Channing Division of Network Medicine.,2 Division of Pulmonary and Critical Care Medicine
| | | | | | - Craig P Hersh
- 1 Channing Division of Network Medicine.,2 Division of Pulmonary and Critical Care Medicine
| | - James D Crapo
- 3 Pulmonary Medicine, National Jewish Health, Denver, Colorado; and
| | | | | | - Dawn L DeMeo
- 1 Channing Division of Network Medicine.,2 Division of Pulmonary and Critical Care Medicine
| | - Edwin K Silverman
- 1 Channing Division of Network Medicine.,2 Division of Pulmonary and Critical Care Medicine
| | - Xiaobo Zhou
- 1 Channing Division of Network Medicine.,2 Division of Pulmonary and Critical Care Medicine
| | - Peter J Castaldi
- 1 Channing Division of Network Medicine.,6 Division of General Medicine and Primary Care, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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12
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Parker MM, Chase RP, Lamb A, Reyes A, Saferali A, Yun JH, Himes BE, Silverman EK, Hersh CP, Castaldi PJ. Correction to: RNA sequencing identifies novel non-coding RNA and exon-specific effects associated with cigarette smoking. BMC Med Genomics 2019; 12:166. [PMID: 31739789 PMCID: PMC6859605 DOI: 10.1186/s12920-019-0617-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Margaret M Parker
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA.,Harvard Medical School, Boston, MA, 02115, USA
| | - Robert P Chase
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA
| | - Andrew Lamb
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA
| | - Alejandro Reyes
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Aabida Saferali
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA.,Harvard Medical School, Boston, MA, 02115, USA
| | - Jeong H Yun
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Blanca E Himes
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA.,Harvard Medical School, Boston, MA, 02115, USA.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Craig P Hersh
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA.,Harvard Medical School, Boston, MA, 02115, USA.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Peter J Castaldi
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA. .,Harvard Medical School, Boston, MA, 02115, USA. .,Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
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13
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Thorsson V, Gibbs DL, Brown SD, Wolf D, Bortone DS, Ou Yang TH, Porta-Pardo E, Gao GF, Plaisier CL, Eddy JA, Ziv E, Culhane AC, Paull EO, Sivakumar IKA, Gentles AJ, Malhotra R, Farshidfar F, Colaprico A, Parker JS, Mose LE, Vo NS, Liu J, Liu Y, Rader J, Dhankani V, Reynolds SM, Bowlby R, Califano A, Cherniack AD, Anastassiou D, Bedognetti D, Mokrab Y, Newman AM, Rao A, Chen K, Krasnitz A, Hu H, Malta TM, Noushmehr H, Pedamallu CS, Bullman S, Ojesina AI, Lamb A, Zhou W, Shen H, Choueiri TK, Weinstein JN, Guinney J, Saltz J, Holt RA, Rabkin CS, Lazar AJ, Serody JS, Demicco EG, Disis ML, Vincent BG, Shmulevich I. The Immune Landscape of Cancer. Immunity 2019; 51:411-412. [PMID: 31433971 DOI: 10.1016/j.immuni.2019.08.004] [Citation(s) in RCA: 239] [Impact Index Per Article: 47.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Vésteinn Thorsson
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
| | - David L Gibbs
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Scott D Brown
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Denise Wolf
- University of California, San Francisco, Box 0808, 2340 Sutter Street, S433, San Francisco, CA 94115, USA
| | - Dante S Bortone
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Tai-Hsien Ou Yang
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Eduard Porta-Pardo
- Barcelona Supercomputing Centre, c/Jordi Girona, 29, 08034 Barcelona, Spain; SBP Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Galen F Gao
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Christopher L Plaisier
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA; School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85281, USA
| | - James A Eddy
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, 1450 3rd St, San Francisco, CA 94143, USA
| | - Aedin C Culhane
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Evan O Paull
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - I K Ashok Sivakumar
- Department of Computer Science, Institute for Computational Medicine; Johns Hopkins University, Baltimore, MD 21218, USA
| | - Andrew J Gentles
- Departments of Medicine and Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | | | - Farshad Farshidfar
- Department of Oncology, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Antonio Colaprico
- Universite libre de Bruxelles (ULB), Computer Science Department, Faculty of Sciences, Boulevard du Triomphe - CP212, 1050 Bruxelles, Belgium
| | - Joel S Parker
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Lisle E Mose
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Nam Sy Vo
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jianfang Liu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Yuexin Liu
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Janet Rader
- Medical College of Wisconsin, 9200 Wisconsin Avenue, Milwaukee, WI 53226 USA
| | - Varsha Dhankani
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Sheila M Reynolds
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Reanne Bowlby
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Andrea Califano
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - Andrew D Cherniack
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Dimitris Anastassiou
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Davide Bedognetti
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Younes Mokrab
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Aaron M Newman
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Arvind Rao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alexander Krasnitz
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA
| | - Hai Hu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Tathiane M Malta
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Houtan Noushmehr
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | | | - Susan Bullman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Andrew Lamb
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Wanding Zhou
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Hui Shen
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Toni K Choueiri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - John N Weinstein
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Justin Guinney
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook Medicine, 100 Nicolls Rd, Stony Brook, NY 11794, USA
| | - Robert A Holt
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Charles S Rabkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Bethesda, MD 20892, USA
| | | | - Alexander J Lazar
- Departments of Pathology, Genomics Medicine and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd-Unit 85, Houston, TX 77030, USA
| | - Jonathan S Serody
- Department of Medicine and Microbiology and Lineberger Comprehensive Cancer Center, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Elizabeth G Demicco
- Mount Sinai Hospital, Department of Pathology and Laboratory Medicine, 600 University Ave., Toronto, ON M5G 1X5, Canada
| | - Mary L Disis
- UW Medicine Cancer Vaccine Institute, 850 Republican Street, Brotman Building, 2nd Floor, Room 221, Box 358050, University of Washington, Seattle, WA 98109-4714, USA
| | - Benjamin G Vincent
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA.
| | - Ilya Shmulevich
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
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14
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Thorsson V, Gibbs DL, Brown SD, Wolf D, Bortone DS, Ou Yang TH, Porta-Pardo E, Gao GF, Plaisier CL, Eddy JA, Ziv E, Culhane AC, Paull EO, Sivakumar IKA, Gentles AJ, Malhotra R, Farshidfar F, Colaprico A, Parker JS, Mose LE, Vo NS, Liu J, Liu Y, Rader J, Dhankani V, Reynolds SM, Bowlby R, Califano A, Cherniack AD, Anastassiou D, Bedognetti D, Mokrab Y, Newman AM, Rao A, Chen K, Krasnitz A, Hu H, Malta TM, Noushmehr H, Pedamallu CS, Bullman S, Ojesina AI, Lamb A, Zhou W, Shen H, Choueiri TK, Weinstein JN, Guinney J, Saltz J, Holt RA, Rabkin CS, Lazar AJ, Serody JS, Demicco EG, Disis ML, Vincent BG, Shmulevich I. The Immune Landscape of Cancer. Immunity 2019. [PMID: 31433971 DOI: 10.1016/j.immuni.2019.08.004.erratumfor:immunity.2018;48(4),812-830.e14] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Affiliation(s)
- Vésteinn Thorsson
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
| | - David L Gibbs
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Scott D Brown
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Denise Wolf
- University of California, San Francisco, Box 0808, 2340 Sutter Street, S433, San Francisco, CA 94115, USA
| | - Dante S Bortone
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Tai-Hsien Ou Yang
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Eduard Porta-Pardo
- Barcelona Supercomputing Centre, c/Jordi Girona, 29, 08034 Barcelona, Spain; SBP Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Galen F Gao
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Christopher L Plaisier
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA; School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85281, USA
| | - James A Eddy
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, 1450 3rd St, San Francisco, CA 94143, USA
| | - Aedin C Culhane
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Evan O Paull
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - I K Ashok Sivakumar
- Department of Computer Science, Institute for Computational Medicine; Johns Hopkins University, Baltimore, MD 21218, USA
| | - Andrew J Gentles
- Departments of Medicine and Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | | | - Farshad Farshidfar
- Department of Oncology, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Antonio Colaprico
- Universite libre de Bruxelles (ULB), Computer Science Department, Faculty of Sciences, Boulevard du Triomphe - CP212, 1050 Bruxelles, Belgium
| | - Joel S Parker
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Lisle E Mose
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Nam Sy Vo
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jianfang Liu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Yuexin Liu
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Janet Rader
- Medical College of Wisconsin, 9200 Wisconsin Avenue, Milwaukee, WI 53226 USA
| | - Varsha Dhankani
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Sheila M Reynolds
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Reanne Bowlby
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Andrea Califano
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - Andrew D Cherniack
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Dimitris Anastassiou
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Davide Bedognetti
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Younes Mokrab
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Aaron M Newman
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Arvind Rao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alexander Krasnitz
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA
| | - Hai Hu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Tathiane M Malta
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Houtan Noushmehr
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | | | - Susan Bullman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Andrew Lamb
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Wanding Zhou
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Hui Shen
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Toni K Choueiri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - John N Weinstein
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Justin Guinney
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook Medicine, 100 Nicolls Rd, Stony Brook, NY 11794, USA
| | - Robert A Holt
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Charles S Rabkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Bethesda, MD 20892, USA
| | | | - Alexander J Lazar
- Departments of Pathology, Genomics Medicine and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd-Unit 85, Houston, TX 77030, USA
| | - Jonathan S Serody
- Department of Medicine and Microbiology and Lineberger Comprehensive Cancer Center, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Elizabeth G Demicco
- Mount Sinai Hospital, Department of Pathology and Laboratory Medicine, 600 University Ave., Toronto, ON M5G 1X5, Canada
| | - Mary L Disis
- UW Medicine Cancer Vaccine Institute, 850 Republican Street, Brotman Building, 2nd Floor, Room 221, Box 358050, University of Washington, Seattle, WA 98109-4714, USA
| | - Benjamin G Vincent
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA.
| | - Ilya Shmulevich
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
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15
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Awolope O, O’Driscoll N, Lamb A. Genome-guided screening of bacterial isolates to identify potential antibiotic producers. Access Microbiol 2019. [DOI: 10.1099/acmi.ac2019.po0062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
| | | | - Andrew Lamb
- Robert Gordon University, Aberdeen, United Kingdom
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16
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Chabanon RM, Muirhead G, Krastev DB, Adam J, Morel D, Garrido M, Lamb A, Hénon C, Dorvault N, Rouanne M, Marlow R, Bajrami I, Cardeñosa ML, Konde A, Besse B, Ashworth A, Pettitt SJ, Haider S, Marabelle A, Tutt AN, Soria JC, Lord CJ, Postel-Vinay S. PARP inhibition enhances tumor cell-intrinsic immunity in ERCC1-deficient non-small cell lung cancer. J Clin Invest 2019; 129:1211-1228. [PMID: 30589644 PMCID: PMC6391116 DOI: 10.1172/jci123319] [Citation(s) in RCA: 200] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Accepted: 12/18/2018] [Indexed: 12/17/2022] Open
Abstract
The cyclic GMP-AMP synthase/stimulator of IFN genes (cGAS/STING) pathway detects cytosolic DNA to activate innate immune responses. Poly(ADP-ribose) polymerase inhibitors (PARPi) selectively target cancer cells with DNA repair deficiencies such as those caused by BRCA1 mutations or ERCC1 defects. Using isogenic cell lines and patient-derived samples, we showed that ERCC1-defective non-small cell lung cancer (NSCLC) cells exhibit an enhanced type I IFN transcriptomic signature and that low ERCC1 expression correlates with increased lymphocytic infiltration. We demonstrated that clinical PARPi, including olaparib and rucaparib, have cell-autonomous immunomodulatory properties in ERCC1-defective NSCLC and BRCA1-defective triple-negative breast cancer (TNBC) cells. Mechanistically, PARPi generated cytoplasmic chromatin fragments with characteristics of micronuclei; these were found to activate cGAS/STING, downstream type I IFN signaling, and CCL5 secretion. Importantly, these effects were suppressed in PARP1-null TNBC cells, suggesting that this phenotype resulted from an on-target effect of PARPi on PARP1. PARPi also potentiated IFN-γ-induced PD-L1 expression in NSCLC cell lines and in fresh patient tumor cells; this effect was enhanced in ERCC1-deficient contexts. Our data provide a preclinical rationale for using PARPi as immunomodulatory agents in appropriately molecularly selected populations.
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Affiliation(s)
- Roman M. Chabanon
- Université Paris Saclay, Université Paris-Sud, Faculté de médicine, Le Kremlin Bicêtre, Paris, France
- ATIP-Avenir group, Inserm U981, Gustave Roussy, Villejuif, France
- The Breast Cancer Now Toby Robins Breast Cancer Research Centre and
- CRUK Gene Function Laboratory, The Institute of Cancer Research, London, United Kingdom
| | - Gareth Muirhead
- The Breast Cancer Now Toby Robins Breast Cancer Research Centre and
| | - Dragomir B. Krastev
- The Breast Cancer Now Toby Robins Breast Cancer Research Centre and
- CRUK Gene Function Laboratory, The Institute of Cancer Research, London, United Kingdom
| | - Julien Adam
- ATIP-Avenir group, Inserm U981, Gustave Roussy, Villejuif, France
| | - Daphné Morel
- Université Paris Saclay, Université Paris-Sud, Faculté de médicine, Le Kremlin Bicêtre, Paris, France
- ATIP-Avenir group, Inserm U981, Gustave Roussy, Villejuif, France
| | - Marlène Garrido
- ATIP-Avenir group, Inserm U981, Gustave Roussy, Villejuif, France
| | | | - Clémence Hénon
- Université Paris Saclay, Université Paris-Sud, Faculté de médicine, Le Kremlin Bicêtre, Paris, France
- ATIP-Avenir group, Inserm U981, Gustave Roussy, Villejuif, France
| | - Nicolas Dorvault
- ATIP-Avenir group, Inserm U981, Gustave Roussy, Villejuif, France
| | - Mathieu Rouanne
- Université Paris Saclay, Université Paris-Sud, Faculté de médicine, Le Kremlin Bicêtre, Paris, France
- Inserm U1015, Gustave Roussy, Villejuif, France
| | - Rebecca Marlow
- The Breast Cancer Now Research Unit, King’s College London, London, United Kingdom
| | - Ilirjana Bajrami
- The Breast Cancer Now Toby Robins Breast Cancer Research Centre and
- CRUK Gene Function Laboratory, The Institute of Cancer Research, London, United Kingdom
| | - Marta Llorca Cardeñosa
- The Breast Cancer Now Toby Robins Breast Cancer Research Centre and
- CRUK Gene Function Laboratory, The Institute of Cancer Research, London, United Kingdom
- Biomedical Research Institute INCLIVA, Hospital Clinico Universitario Valencia, University of Valencia, Valencia, Spain
| | - Asha Konde
- The Breast Cancer Now Toby Robins Breast Cancer Research Centre and
- CRUK Gene Function Laboratory, The Institute of Cancer Research, London, United Kingdom
| | - Benjamin Besse
- Université Paris Saclay, Université Paris-Sud, Faculté de médicine, Le Kremlin Bicêtre, Paris, France
- Department of Medical Oncology, Gustave Roussy, Villejuif, France
| | - Alan Ashworth
- UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, California, USA
| | - Stephen J. Pettitt
- The Breast Cancer Now Toby Robins Breast Cancer Research Centre and
- CRUK Gene Function Laboratory, The Institute of Cancer Research, London, United Kingdom
| | - Syed Haider
- The Breast Cancer Now Toby Robins Breast Cancer Research Centre and
| | - Aurélien Marabelle
- Inserm U1015, Gustave Roussy, Villejuif, France
- Département d’Innovations Thérapeutiques et Essais Précoces (DITEP), Gustave Roussy, Villejuif, France
| | - Andrew N.J. Tutt
- The Breast Cancer Now Toby Robins Breast Cancer Research Centre and
- The Breast Cancer Now Research Unit, King’s College London, London, United Kingdom
| | - Jean-Charles Soria
- Université Paris Saclay, Université Paris-Sud, Faculté de médicine, Le Kremlin Bicêtre, Paris, France
| | - Christopher J. Lord
- The Breast Cancer Now Toby Robins Breast Cancer Research Centre and
- CRUK Gene Function Laboratory, The Institute of Cancer Research, London, United Kingdom
| | - Sophie Postel-Vinay
- Université Paris Saclay, Université Paris-Sud, Faculté de médicine, Le Kremlin Bicêtre, Paris, France
- ATIP-Avenir group, Inserm U981, Gustave Roussy, Villejuif, France
- Département d’Innovations Thérapeutiques et Essais Précoces (DITEP), Gustave Roussy, Villejuif, France
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17
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Campbell A, Omer A, Popert R, Lamb A. Local anaesthetic transperineal prostate (LATP) biopsy using the precision point access system: A step-by-step video. ACTA ACUST UNITED AC 2019. [DOI: 10.1016/s1569-9056(19)31670-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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18
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Thorsson V, Eddy JA, Lamb A, Gibbs DL, Shmulevich I, Guinney J. Abstract B051: Facilitating translational research with interactive tools for immuno-oncology data. Cancer Immunol Res 2019. [DOI: 10.1158/2326-6074.cricimteatiaacr18-b051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
With the explosive growth in data and results from immuno-oncology (IO) studies, improved ways to easily share, integrate and explore available data and results are needed. The Cancer Research Institute (CRI) iAtlas (www.cri-iatlas.org) is an interactive web-based platform and set of analytic tools for studying interactions between tumors and the immune microenvironment. These tools allow researchers to explore associations among a variety of immune characterizations as well as with genomic and clinical phenotypes. The initial version of CRI iAtlas is based on an analysis performed by The Cancer Genome Atlas (TCGA) Research Network on the TCGA data set comprising over 10,000 tumor samples and 33 tumor types (Thorsson et al., 2018). The platform will be expanded to include other immunogenomic data sets and workflows. In the TCGA analysis, each tumor sample was scored for a variety of computationally estimated immune-based readouts, including immune cell composition, adaptive cell receptor repertoire, neoantigen load, and expression of genes coding for immunomodulatory proteins. Immune-based subtypes, spanning multiple tumor types, were identified. The web tool allows researchers to explore the data readouts as well as the relation between them in individual TCGA tumor types and across the global immune subtypes identified in the study. CRI iAtlas is made possible through a collaboration between CRI, Sage Bionetworks, and the Institute for Systems Biology. The main feature of the iAtlas web tool is the iAtlas Explorer, which provides several Analysis Modules to explore and visualize results. Each module presents information organized by theme, with multiple views and interactive controls to enhance and extend the information included in the original manuscript figures. Sample Group Overview: summaries of selected groups (including six immune subtypes that span cancer tissue types and molecular subtypes); Tumor Microenvironment: overall immune infiltrate and relative immune cell proportions in selected sample groups; Immune Feature Trends: distributions of immune readouts across selected groups, and associations between readouts within groups; Clinical Outcomes: trends of and associations with survival outcomes across sample groups based on immune characteristics; Immunomodulators: expression trends of genes that code for immunomodulating proteins, including checkpoint proteins. In response to community feedback, we are extending the iAtlas portal with two modules, one allowing researchers to classify their own RNAseq samples into immune subtypes, and the other allowing researchers to upload their own sample categories for analysis with the tool. As the resource evolves, we expect that the CRI iAtlas will help to accelerate discovery and improve patient outcomes by providing researchers greater access to immunogenomics data to better understand the immunologic characteristics of the tumor microenvironment and its potential impact on patient responses to immunotherapy. Reference: Thorsson et al. The immune landscape of cancer. Immunity 2018;48(4):812-30.e14. doi: 10.1016/j.immuni.2018.03.023.
Citation Format: Vesteinn Thorsson, James A. Eddy, Andrew Lamb, David L. Gibbs, Ilya Shmulevich, Justin Guinney. Facilitating translational research with interactive tools for immuno-oncology data [abstract]. In: Proceedings of the Fourth CRI-CIMT-EATI-AACR International Cancer Immunotherapy Conference: Translating Science into Survival; Sept 30-Oct 3, 2018; New York, NY. Philadelphia (PA): AACR; Cancer Immunol Res 2019;7(2 Suppl):Abstract nr B051.
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Affiliation(s)
- Vesteinn Thorsson
- Institute for Systems Biology, Seattle, WA; Sage Bionetworks, Seattle, WA
| | - James A. Eddy
- Institute for Systems Biology, Seattle, WA; Sage Bionetworks, Seattle, WA
| | - Andrew Lamb
- Institute for Systems Biology, Seattle, WA; Sage Bionetworks, Seattle, WA
| | - David L. Gibbs
- Institute for Systems Biology, Seattle, WA; Sage Bionetworks, Seattle, WA
| | - Ilya Shmulevich
- Institute for Systems Biology, Seattle, WA; Sage Bionetworks, Seattle, WA
| | - Justin Guinney
- Institute for Systems Biology, Seattle, WA; Sage Bionetworks, Seattle, WA
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19
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Yun JH, Lamb A, Chase R, Singh D, Parker MM, Saferali A, Vestbo J, Tal-Singer R, Castaldi PJ, Silverman EK, Hersh CP. Blood eosinophil count thresholds and exacerbations in patients with chronic obstructive pulmonary disease. J Allergy Clin Immunol 2018; 141:2037-2047.e10. [PMID: 29709670 PMCID: PMC5994197 DOI: 10.1016/j.jaci.2018.04.010] [Citation(s) in RCA: 117] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Revised: 02/26/2018] [Accepted: 04/18/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND Eosinophilic airway inflammation in patients with chronic obstructive pulmonary disease (COPD) is associated with exacerbations and responsivity to steroids, suggesting potential shared mechanisms with eosinophilic asthma. However, there is no consistent blood eosinophil count that has been used to define the increased exacerbation risk. OBJECTIVE We sought to investigate blood eosinophil counts associated with exacerbation risk in patients with COPD. METHODS Blood eosinophil counts and exacerbation risk were analyzed in patients with moderate-to-severe COPD by using 2 independent studies of former and current smokers with longitudinal data. The Genetic Epidemiology of COPD (COPDGene) study was analyzed for discovery (n = 1,553), and the Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) study was analyzed for validation (n = 1,895). A subset of the ECLIPSE study subjects were used to assess the stability of blood eosinophil counts over time. RESULTS COPD exacerbation risk increased with higher eosinophil counts. An eosinophil count threshold of 300 cells/μL or greater showed adjusted incidence rate ratios for exacerbations of 1.32 in the COPDGene study (95% CI, 1.10-1.63). The cutoff of 300 cells/μL or greater was validated for prospective risk of exacerbation in the ECLIPSE study, with adjusted incidence rate ratios of 1.22 (95% CI, 1.06-1.41) using 3-year follow-up data. Stratified analysis confirmed that the increased exacerbation risk associated with an eosinophil count of 300 cells/μL or greater was driven by subjects with a history of frequent exacerbations in both the COPDGene and ECLIPSE studies. CONCLUSIONS Patients with moderate-to-severe COPD and blood eosinophil counts of 300 cells/μL or greater had an increased risk exacerbations in the COPDGene study, which was prospectively validated in the ECLIPSE study.
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Affiliation(s)
- Jeong H Yun
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass; Harvard Medical School, Boston, Mass
| | - Andrew Lamb
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass
| | - Robert Chase
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass
| | - Dave Singh
- University of Manchester, Manchester, United Kingdom
| | - Margaret M Parker
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass; Harvard Medical School, Boston, Mass
| | - Aabida Saferali
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass; Harvard Medical School, Boston, Mass
| | - Jørgen Vestbo
- University of Manchester, Manchester, United Kingdom; NIHR Manchester Biomedical Research Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | | | - Peter J Castaldi
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass; Harvard Medical School, Boston, Mass
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass; Harvard Medical School, Boston, Mass
| | - Craig P Hersh
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass; Harvard Medical School, Boston, Mass.
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20
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Thorsson V, Gibbs DL, Brown SD, Wolf D, Bortone DS, Ou Yang TH, Porta-Pardo E, Gao GF, Plaisier CL, Eddy JA, Ziv E, Culhane AC, Paull EO, Sivakumar IKA, Gentles AJ, Malhotra R, Farshidfar F, Colaprico A, Parker JS, Mose LE, Vo NS, Liu J, Liu Y, Rader J, Dhankani V, Reynolds SM, Bowlby R, Califano A, Cherniack AD, Anastassiou D, Bedognetti D, Mokrab Y, Newman AM, Rao A, Chen K, Krasnitz A, Hu H, Malta TM, Noushmehr H, Pedamallu CS, Bullman S, Ojesina AI, Lamb A, Zhou W, Shen H, Choueiri TK, Weinstein JN, Guinney J, Saltz J, Holt RA, Rabkin CS, Lazar AJ, Serody JS, Demicco EG, Disis ML, Vincent BG, Shmulevich I. The Immune Landscape of Cancer. Immunity 2018; 48:812-830.e14. [PMID: 29628290 PMCID: PMC5982584 DOI: 10.1016/j.immuni.2018.03.023] [Citation(s) in RCA: 3110] [Impact Index Per Article: 518.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Revised: 01/23/2018] [Accepted: 03/21/2018] [Indexed: 02/08/2023]
Abstract
We performed an extensive immunogenomic analysis of more than 10,000 tumors comprising 33 diverse cancer types by utilizing data compiled by TCGA. Across cancer types, we identified six immune subtypes-wound healing, IFN-γ dominant, inflammatory, lymphocyte depleted, immunologically quiet, and TGF-β dominant-characterized by differences in macrophage or lymphocyte signatures, Th1:Th2 cell ratio, extent of intratumoral heterogeneity, aneuploidy, extent of neoantigen load, overall cell proliferation, expression of immunomodulatory genes, and prognosis. Specific driver mutations correlated with lower (CTNNB1, NRAS, or IDH1) or higher (BRAF, TP53, or CASP8) leukocyte levels across all cancers. Multiple control modalities of the intracellular and extracellular networks (transcription, microRNAs, copy number, and epigenetic processes) were involved in tumor-immune cell interactions, both across and within immune subtypes. Our immunogenomics pipeline to characterize these heterogeneous tumors and the resulting data are intended to serve as a resource for future targeted studies to further advance the field.
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Affiliation(s)
- Vésteinn Thorsson
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
| | - David L Gibbs
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Scott D Brown
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Denise Wolf
- University of California, San Francisco, Box 0808, 2340 Sutter Street, S433, San Francisco, CA 94115, USA
| | - Dante S Bortone
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Tai-Hsien Ou Yang
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Eduard Porta-Pardo
- Barcelona Supercomputing Centre, c/Jordi Girona, 29, 08034 Barcelona, Spain; SBP Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Galen F Gao
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Christopher L Plaisier
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA; School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85281, USA
| | - James A Eddy
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, 1450 3rd St, San Francisco, CA 94143, USA
| | - Aedin C Culhane
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Evan O Paull
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - I K Ashok Sivakumar
- Department of Computer Science, Institute for Computational Medicine; Johns Hopkins University, Baltimore, MD 21218, USA
| | - Andrew J Gentles
- Departments of Medicine and Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | | | - Farshad Farshidfar
- Department of Oncology, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Antonio Colaprico
- Universite libre de Bruxelles (ULB), Computer Science Department, Faculty of Sciences, Boulevard du Triomphe - CP212, 1050 Bruxelles, Belgium
| | - Joel S Parker
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Lisle E Mose
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Nam Sy Vo
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jianfang Liu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Yuexin Liu
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Janet Rader
- Medical College of Wisconsin, 9200 Wisconsin Avenue, Milwaukee, WI 53226 USA
| | - Varsha Dhankani
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Sheila M Reynolds
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Reanne Bowlby
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Andrea Califano
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - Andrew D Cherniack
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Dimitris Anastassiou
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Davide Bedognetti
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Younes Mokrab
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Aaron M Newman
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Arvind Rao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alexander Krasnitz
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA
| | - Hai Hu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Tathiane M Malta
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Houtan Noushmehr
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | | | - Susan Bullman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Andrew Lamb
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Wanding Zhou
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Hui Shen
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Toni K Choueiri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - John N Weinstein
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Justin Guinney
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook Medicine, 100 Nicolls Rd, Stony Brook, NY 11794, USA
| | - Robert A Holt
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Charles S Rabkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Bethesda, MD 20892, USA
| | - Alexander J Lazar
- Departments of Pathology, Genomics Medicine and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd-Unit 85, Houston, TX 77030, USA
| | - Jonathan S Serody
- Department of Medicine and Microbiology and Lineberger Comprehensive Cancer Center, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Elizabeth G Demicco
- Mount Sinai Hospital, Department of Pathology and Laboratory Medicine, 600 University Ave., Toronto, ON M5G 1X5, Canada
| | - Mary L Disis
- UW Medicine Cancer Vaccine Institute, 850 Republican Street, Brotman Building, 2nd Floor, Room 221, Box 358050, University of Washington, Seattle, WA 98109-4714, USA
| | - Benjamin G Vincent
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA.
| | - Ilya Shmulevich
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
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Parker MM, Chase RP, Lamb A, Reyes A, Saferali A, Yun JH, Himes BE, Silverman EK, Hersh CP, Castaldi PJ. RNA sequencing identifies novel non-coding RNA and exon-specific effects associated with cigarette smoking. BMC Med Genomics 2017; 10:58. [PMID: 28985737 PMCID: PMC6225866 DOI: 10.1186/s12920-017-0295-9] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 10/02/2017] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Cigarette smoking is the leading modifiable risk factor for disease and death worldwide. Previous studies quantifying gene-level expression have documented the effect of smoking on mRNA levels. Using RNA sequencing, it is possible to analyze the impact of smoking on complex regulatory phenomena (e.g. alternative splicing, differential isoform usage) leading to a more detailed understanding of the biology underlying smoking-related disease. METHODS We used whole-blood RNA sequencing to describe gene and exon-level expression differences between 229 current and 286 former smokers in the COPDGene study. We performed differential gene expression and differential exon usage analyses using the voom/limma and DEXseq R packages. Samples from current and former smokers were compared while controlling for age, gender, race, lifetime smoke exposure, cell counts, and technical covariates. RESULTS At an adjusted p-value <0.05, 171 genes were differentially expressed between current and former smokers. Differentially expressed genes included 7 long non-coding RNAs that have not been previously associated with smoking: LINC00599, LINC01362, LINC00824, LINC01624, RP11-563D10.1, RP11-98G13.1, AC004791.2. Secondary analysis of acute smoking (having smoked within 2-h) revealed 5 of the 171 smoking genes demonstrated an acute response above the baseline effect of chronic smoking. Exon-level analyses identified 9 exons from 8 genes with significant differential usage by smoking status, suggesting smoking-induced changes in isoform expression. CONCLUSIONS Transcriptomic changes at the gene and exon levels from whole blood can refine our understanding of the molecular mechanisms underlying the response to smoking.
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Affiliation(s)
- Margaret M Parker
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Robert P Chase
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA
| | - Andrew Lamb
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA
| | - Alejandro Reyes
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Aabida Saferali
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Jeong H Yun
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Blanca E Himes
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA
- Harvard Medical School, Boston, MA, 02115, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Craig P Hersh
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA
- Harvard Medical School, Boston, MA, 02115, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Peter J Castaldi
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA, USA.
- Harvard Medical School, Boston, MA, 02115, USA.
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
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22
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Hinton A, Perea-Ortiz M, Winch J, Briggs J, Freer S, Moustoukas D, Powell-Gill S, Squire C, Lamb A, Rammeloo C, Stray B, Voulazeris G, Zhu L, Kaushik A, Lien YH, Niggebaum A, Rodgers A, Stabrawa A, Boddice D, Plant SR, Tuckwell GW, Bongs K, Metje N, Holynski M. A portable magneto-optical trap with prospects for atom interferometry in civil engineering. Philos Trans A Math Phys Eng Sci 2017; 375:rsta.2016.0238. [PMID: 28652493 PMCID: PMC5487716 DOI: 10.1098/rsta.2016.0238] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/12/2016] [Indexed: 05/13/2023]
Abstract
The high precision and scalable technology offered by atom interferometry has the opportunity to profoundly affect gravity surveys, enabling the detection of features of either smaller size or greater depth. While such systems are already starting to enter into the commercial market, significant reductions are required in order to reach the size, weight and power of conventional devices. In this article, the potential for atom interferometry based gravimetry is assessed, suggesting that the key opportunity resides within the development of gravity gradiometry sensors to enable drastic improvements in measurement time. To push forward in realizing more compact systems, techniques have been pursued to realize a highly portable magneto-optical trap system, which represents the core package of an atom interferometry system. This can create clouds of 107 atoms within a system package of 20 l and 10 kg, consuming 80 W of power.This article is part of the themed issue 'Quantum technology for the 21st century'.
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Affiliation(s)
- A Hinton
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - M Perea-Ortiz
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - J Winch
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - J Briggs
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - S Freer
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - D Moustoukas
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - S Powell-Gill
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - C Squire
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - A Lamb
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - C Rammeloo
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - B Stray
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - G Voulazeris
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - L Zhu
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - A Kaushik
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - Y-H Lien
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - A Niggebaum
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - A Rodgers
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - A Stabrawa
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - D Boddice
- School of Engineering, Department of Civil Engineering, University of Birmingham, Birmingham B15 2TT, UK
| | - S R Plant
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - G W Tuckwell
- RSK, 18 Frogmore Road, Hemel Hempstead, Hertfordshire HP3 9RT, UK
| | - K Bongs
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
| | - N Metje
- School of Engineering, Department of Civil Engineering, University of Birmingham, Birmingham B15 2TT, UK
| | - M Holynski
- School of Physics and Astronomy, Metallurgy and Materials Building, University of Birmingham, Birmingham B15 2TT, UK
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Phalan B, Green RE, Dicks LV, Dotta G, Feniuk C, Lamb A, Strassburg BBN, Williams DR, Ermgassen EKHJZ, Balmford A. How can higher-yield farming help to spare nature? Science 2016; 351:450-1. [DOI: 10.1126/science.aad0055] [Citation(s) in RCA: 158] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Good NM, Lamb A, Beck DAC, Martinez-Gomez NC, Kalyuzhnaya MG. C₁-Pathways in Methyloversatilis universalis FAM5: Genome Wide Gene Expression and Mutagenesis Studies. Microorganisms 2015; 3:175-97. [PMID: 27682085 PMCID: PMC5023235 DOI: 10.3390/microorganisms3020175] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Revised: 02/17/2015] [Accepted: 03/26/2015] [Indexed: 11/25/2022] Open
Abstract
Methyloversatilis universalis FAM5 utilizes single carbon compounds such as methanol or methylamine as a sole source of carbon and energy. Expression profiling reveals distinct sets of genes altered during growth on methylamine vs methanol. As expected, all genes for the N-methylglutamate pathway were induced during growth on methylamine. Among other functions responding to the aminated source of C1-carbon, are a heme-containing amine dehydrogenase (Qhp), a distant homologue of formaldehyde activating enzyme (Fae3), molybdenum-containing formate dehydrogenase, ferredoxin reductase, a set of homologues to urea/ammonium transporters and amino-acid permeases. Mutants lacking one of the functional subunits of the amine dehydrogenase (ΔqhpA) or Δfae3 showed no growth defect on C1-compounds. M. universalis FAM5 strains with a lesion in the H4-folate pathway were not able to use any C1-compound, methanol or methylamine. Genes essential for C1-assimilation (the serine cycle and glyoxylate shunt) and H4MTP-pathway for formaldehyde oxidation showed similar levels of expression on both C1-carbon sources. M. universalis FAM5 possesses three homologs of the formaldehyde activating enzyme, a key enzyme of the H4MTP-pathway. Strains lacking the canonical Fae (fae1) lost the ability to grow on both C1-compounds. However, upon incubation on methylamine the fae1-mutant produced revertants (Δfae1R), which regained the ability to grow on methylamine. Double and triple mutants (Δfae1RΔfae3, or Δfae1RΔfae2 or Δfae1RΔfae2Δfae3) constructed in the revertant strain background showed growth similar to the Δfae1R phenotype. The metabolic pathways for utilization of methanol and methylamine in Methyloversatilis universalis FAM5 are reconstructed based on these gene expression and phenotypic data.
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Affiliation(s)
- Nathan M. Good
- Department of Microbiology, University of Washington, Seattle, WA 98195-1700, USA; E-Mails: (N.M.G.); (A.L.)
| | - Andrew Lamb
- Department of Microbiology, University of Washington, Seattle, WA 98195-1700, USA; E-Mails: (N.M.G.); (A.L.)
- Department of Chemical Engineering, University of Washington, Seattle, WA 98195-7735, USA; E-Mails: (D.A.C.B.); (N.C.M.G.)
| | - David A. C. Beck
- Department of Chemical Engineering, University of Washington, Seattle, WA 98195-7735, USA; E-Mails: (D.A.C.B.); (N.C.M.G.)
- eScience Institute, University of Washington, Seattle, WA 98195-1570, USA
| | - N. Cecilia Martinez-Gomez
- Department of Chemical Engineering, University of Washington, Seattle, WA 98195-7735, USA; E-Mails: (D.A.C.B.); (N.C.M.G.)
| | - Marina G. Kalyuzhnaya
- Department of Microbiology, University of Washington, Seattle, WA 98195-1700, USA; E-Mails: (N.M.G.); (A.L.)
- Biology Department, San Diego State University, North Life Science Room 401, San Diego, CA 92182-4614, USA
- Author to whom correspondence should be addressed; E-Mail: ; Tel.: +1-619-594-5626
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25
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Lamb A, Evans G, King JR. Mathematical Modelling of Toxicity Associated with Intracellular Chromium Reduction. Bull Math Biol 2013; 75:1472-500. [DOI: 10.1007/s11538-013-9856-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2012] [Accepted: 05/20/2013] [Indexed: 11/28/2022]
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26
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Hasan I, Lamb A, Brennan M, Lockhart P. Oral Bacterial Pathogens as a Cause of Catheter-Related Infection. Oral Surg Oral Med Oral Pathol Oral Radiol 2012. [DOI: 10.1016/j.oooo.2012.05.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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27
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Solomon B, Chiappori A, Lamb A, Gawlicki M, Kim D, Park K, Salgia R, Wilner K, Reisman A, Petersen J. 3030 POSTER Preliminary Characterization of Visual Events Reported by Patients (Pts) Receiving Crizotinib for the Treatment of Advanced ALK-Positive Non-Small Cell Lung Cancer (NSCLC). Eur J Cancer 2011. [DOI: 10.1016/s0959-8049(11)71103-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Jameson S, Lamb A, Wallace W, Sher J, Marx C, Reed M. Orthopaedic training experience in the UK and Ireland: An analysis using the elogbook. Surgeon 2009; 7:243-9. [DOI: 10.1016/s1479-666x(09)80093-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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30
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Jameson SS, Lamb A, Wallace WA, Sher JL, Marx C, Reed MR. Trauma experience in the UK and Ireland: analysis of orthopaedic training using the FHI eLogbook. Injury 2008; 39:844-52. [PMID: 18632101 DOI: 10.1016/j.injury.2008.03.030] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2007] [Revised: 12/26/2007] [Accepted: 03/13/2008] [Indexed: 02/02/2023]
Abstract
Surgical trainees routinely provide evidence of their training and operative experience for assessment. National comparative data on the number of procedures performed during training was previously unavailable in the UK. Since 2003 every trainee in Trauma and Orthopaedics (T&O) in the UK and Ireland has submitted data recording their operative experience electronically via the Faculty of Health Informatics (FHI) eLogbook. This provides detailed data on trainee, trainer, hospital and training programme performance. This data has been analysed for trauma surgery. By March 2007 there were 1053 T&O Specialist Registrars with operations logged. Trauma operations performed and uploaded during the previous 3 years have been included. Each trainee's work is analysed by 'year-in-training' (YIT, 1-6). Data on levels of supervision and potentially missed opportunities (where the trainee was present but assisted rather than performed the operation) was analysed. The mean number of trauma operations performed annually by trainees was 109, 120, 110, 122, 98 and 84 (total 643) for YIT 1-6, respectively. 22% of the operations at which a trainee was present were potentially missed opportunities. A high level of experience is gained in hip fracture surgery (121 operations performed), intramedullary nailing (38) and ankle (47) stabilisation over the 6 years of training. However, the mean number of tendon repairs (18), tension band wires (13), external fixators (12) and children's supracondylar fracture procedures (9) performed is low. We also report figures for complex fracture stabilisation. The eLogbook remains a powerful tool which can provide accurate information to support in-depth analysis of trainees, trainers, and training programmes. Based on this analysis, we suggest 'standard setting' to identify trainees performing fewer operations than required during their training. We have also established a baseline which can be used to identify the consequences of changes to length of training and working hours.
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Affiliation(s)
- S S Jameson
- Orthopaedic ePortfolio Validation and Audit Committee and Specialty Registrar, Trauma & Orthopaedics, Royal Hospital for Sick Children, Dalnair Street, Glasgow, United Kingdom.
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31
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Siu LL, Burris HA, Mileshkin LR, Camidge DR, Eckhardt SG, Lamb A, Chen EX, Jones SF, Xu H, Fingert H. A phase I clinical, pharmacokinetic (PK) and pharmacodynamic (PD) evaluation of PF-00562271 targeting focal adhesion kinase (FAK) in patients (pts) with advanced solid tumors. J Clin Oncol 2008. [DOI: 10.1200/jco.2008.26.15_suppl.3534] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Affiliation(s)
- J L Sher
- Department of Orthopaedics and Trauma Surgery, Wansbeck Hospital, Woodhorn Lane, Ashington, Northumberland NE63 9JJ, England, UK.
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Abstract
AbstractFaunal change at the Early-Middle Pleistocene boundary in Europe has long been a topic for discussion. However, analyses of large mammal turnover at this time in Africa have been lacking, largely because of the low number of sites dated to this interval. Recent work, particularly in the last 10 years, has resulted in a much larger published sample of sites and we synthesize these data in this paper. In our multivariate (TWINSPAN) analyses of African and Levantine large mammal faunas we found that localities were subdivided by geographic regions, not by age. There were some small-scale changes with the appearance or extinction of particular taxa, but there was no large-scale turnover such as that seen in Europe. The Levant was included as a possible route for faunal interchange with east Africa, but no similarities were found between these areas. It therefore appears that the modern zoogeographic separation of the Levant and north Africa into the Palaearctic region and sub-Saharan Africa into the African region can be traced back to at least the Early-Middle Pleistocene boundary.
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Affiliation(s)
- H. J. O’Regan
- School of Biological & Earth Sciences, Liverpool John Moores University
Liverpool, L3 3AF, UK
h.j.o’
| | - L. C. Bishop
- School of Biological & Earth Sciences, Liverpool John Moores University
Liverpool, L3 3AF, UK
h.j.o’
| | - A. Lamb
- School of Biological & Earth Sciences, Liverpool John Moores University
Liverpool, L3 3AF, UK
h.j.o’
| | - S. Elton
- Department of Anatomy, Hull York Medical School, University of Hull
Hull, HU6 7RX, UK
| | - A. Turner
- School of Biological & Earth Sciences, Liverpool John Moores University
Liverpool, L3 3AF, UK
h.j.o’
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Lamb A. Community care of older people: policies, problems and practice. Clin Med (Lond) 2003; 3:584-6. [PMID: 14703043 PMCID: PMC4952589 DOI: 10.7861/clinmedicine.3-6-584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Andrew Lamb
- Publications Department, Royal College of Physicians, London
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Milders M, Crawford JR, Lamb A, Simpson SA. Differential deficits in expression recognition in gene-carriers and patients with Huntington's disease. Neuropsychologia 2003; 41:1484-92. [PMID: 12849766 DOI: 10.1016/s0028-3932(03)00079-4] [Citation(s) in RCA: 62] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Previous studies in symptomatic patients and asymptomatic gene-carriers of Huntington's disease (HD) reported a differential deficit in the recognition of facial expressions of disgust. This impairment may point to involvement of the basal ganglia in the recognition of disgust. In this study, we compared the performance of 20 patients with symptoms of HD, 20 gene-carriers of HD and 20 healthy controls on two tests of facial expressions in order to further investigate the role of the basal ganglia in disgust recognition. Recognition of fear, rather than disgust, was most severely impaired in the patients, who were also impaired at recognising expressions of anger, disgust and sadness. Direct testing for a differential deficit in disgust at the group level (and at the level of individual HD cases) revealed that the patients were in fact significantly more impaired on the other negative expressions than on disgust. The gene-carriers were not impaired on any expression, although there was a trend for the gene-carriers to be poorer at recognising fearful faces than the controls. We argue that the expression recognition performance of the patients and gene-carriers simply reflects differences in task difficulty, rather than dysfunction of any mechanisms dedicated to specific emotions. In contrast to previous studies in patients or gene-carriers of HD, our findings provide no evidence for a role of the basal ganglia in the recognition of disgust and cast doubt on whether results from HD patients and gene-carriers can be used in support of a double dissociation between recognition of disgust and fear.
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Affiliation(s)
- M Milders
- Department of Psychology, University of Aberdeen, Aberdeen AB24 2UB, Scotland, UK.
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Lamb A. Drinking and drug use in VDPs. Br Dent J 2003. [DOI: 10.1038/sj.bdj.4810472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Lamb A. Non consultant career grade doctors: past, present and future. Clin Med (Lond) 2002; 2:365-7. [PMID: 12195867 PMCID: PMC4953399 DOI: 10.7861/clinmedicine.2-4-365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Affiliation(s)
- Andrew Lamb
- Publications Department, Royal College of Physicians, London
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Geissbuhler A, Lovis C, Lamb A, Sphani S. Experience with an XML/HTTP-based federative approach to develop a hospital-wide clinical information system. Stud Health Technol Inform 2002; 84:735-9. [PMID: 11604834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
Abstract
The authors present a two-year experience with an approach aimed at federating applications into a component-based hospital-wide clinical information system. Recognizing the need for better integration, clearer separation of knowledge from applications, as well as the necessity to respect and integrate the diversity of roles in a healthcare network, a strategy was implemented that included the development of a shared vision, organizational changes to promote appropriation at all levels, and the elaboration and maintenance of a common architecture and terminology by an instrumental technical group. Choices for federative technologies were in part based on their level of acceptance and potential to evolve. XML was used as the syntactic framework and HTTP as the transfer protocol. Within twelve months, the shared vision was developed, the architecture was specified, the key central components implemented, incorporated into the applications, and applications teams started producing shareable services using XML and HTTP.
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Affiliation(s)
- A Geissbuhler
- Division of Medical Informatics, Geneva University Hospital, 1211 Geneva 14, Switzerland.
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41
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Affiliation(s)
- A Lamb
- Publications Department, Royal College of Physicians
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Lamb A. Skilimix--new staff roles in health care. Clin Med (Lond) 2001; 1:413-4. [PMID: 11706891 PMCID: PMC4952262 DOI: 10.7861/clinmedicine.1-5-413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- A Lamb
- Publications Department, Royal College of Physicians
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Lamb A. Biopharmaceuticals: Biochemistry and Biotechnology, Edited by Gary Walsh, John Wiley and Sons, Chichester, 1998. xvi+431 pp, ISBN 0-471-977896, £29.95. Talanta 2001. [DOI: 10.1016/s0039-9140(01)00351-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Whatling P, Wallace WA, Lamb A. Computer assisted learning aids management of course information. BMJ 2001; 322:1428. [PMID: 11397757 PMCID: PMC1120484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/20/2023]
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Lamb A. UK dental undergraduates – a survey of alcohol and drug use. Br Dent J 2000. [DOI: 10.1038/sj.bdj.4800753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Lamb A. Are generalists still needed in a specialised world? General practice enables doctors to maintain general medical skills. BMJ 2000; 320:1728. [PMID: 10917702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
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Bryndorf T, Lundsteen C, Lamb A, Christensen B, Philip J. Rapid prenatal diagnosis of chromosome aneuploidies by interphase fluorescence in situ hybridization: a one-year clinical experience with high-risk and urgent fetal and postnatal samples. Acta Obstet Gynecol Scand 2000; 79:8-14. [PMID: 10646809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
OBJECTIVES To evaluate the clinical utility of rapid prenatal and postnatal detection of common chromosome aneuploidies by interphase fluorescence in situ hybridization (FISH) analysis with DNA probes. DESIGN Four hundred and seventy-seven high-risk and/or urgent amniotic fluid, chorionic villus and fetal and postnatal blood samples were prospectively examined by FISH with probes specific for chromosomes 13, 18, 21, X, and Y and results were reported within 48 hours. All FISH results were followed by conventional chromosome analysis, if possible. SETTING Cytogenetic service laboratory at the tertiary referral center, Rigshospitalet in Copenhagen. MAIN OUTCOME MEASURES The fraction of clinically significant chromosome aneuploidies that was detected by FISH analysis, and the fraction of terminations that was based on FISH and ultrasound results rather than on conventional cytogenetic results. RESULTS The FISH assay detected 76% of the clinically significant chromosome abnormalities as determined by subsequent cytogenetic analysis. Seventy-two percent of the terminations of the chromosomally abnormal pregnancies were based on FISH and ultrasound results rather than on conventional cytogenetic results. CONCLUSION FISH analysis is a clinically useful adjunctive tool to conventional pre- and postnatal cytogenetic analysis. The assay rapidly detects the majority of clinically significant chromosome abnormalities, thus facilitating difficult pre- and postnatal clinical decisions.
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Affiliation(s)
- T Bryndorf
- Department of Clinical Genetics, The Juliane Marie Center, Rigshospitalet, University of Copenhagen, Denmark
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Evgenidou A, Konkle A, D'Ambrosio A, Corcoran A, Bowen J, Brown E, Corcoran D, Dearholt C, Fern S, Lamb A, Michalowski J, Ruegg I, Cebrián J. Effects of Increased Nitrogen Loading on the Abundance of Diatoms and Dinoflagellates in Estuarine Phytoplanktonic Communities. Biol Bull 1999; 197:292-294. [PMID: 28281808 DOI: 10.2307/1542659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
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Abstract
OBJECTIVE To determine the perceived benefit, pattern and problems of use of the Odstock Dropped Foot Stimulator (ODFS) and the users' opinion of the service provided. DESIGN Questionnaire sent in a single mailshot to current and past users of the ODFS. Returns were sent anonymously. SETTING Outpatient-based clinical service. SUBJECTS One hundred and sixty-eight current and 123 past users with diagnoses of stroke (CVA), multiple sclerosis (MS), incomplete spinal cord injury (SCI), traumatic brain injury (TBI) and cerebral palsy (CP). INTERVENTION Functional electrical stimulation (FES) to correct dropped foot in subjects with an upper motor neuron lesion, using the ODFS. MAIN OUTCOME MEASURES Purpose-designed questionnaire. RESULTS Return rate 64% current users (mean duration of use 19.5 months) and 43% past users (mean duration of use 10.7 months). Principal reason cited for using equipment was a reduction in the effort of walking. Principal reasons identified for discontinuing were an improvement in mobility, electrode positioning difficulties and deteriorating mobility. There were some problems with reliability of equipment. Level of service provided was thought to be good. CONCLUSION The ODFS was perceived by the users to be of considerable benefit. A comprehensive clinical follow-up service is essential to achieve the maximum continuing benefit from FES-based orthoses.
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Affiliation(s)
- P N Taylor
- Department of Medical Physics and Biomedical Engineering, Salisbury District Hospital, Wiltshire, UK.
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