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Hilhorst R, van den Berg A, Boender P, van Wezel T, Kievits T, de Wijn R, Ruijtenbeek R, Corver WE, Morreau H. Differentiating Benign from Malignant Thyroid Tumors by Kinase Activity Profiling and Dabrafenib BRAF V600E Targeting. Cancers (Basel) 2023; 15:4477. [PMID: 37760447 PMCID: PMC10527361 DOI: 10.3390/cancers15184477] [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: 05/22/2023] [Revised: 08/28/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
Differentiated non-medullary thyroid cancer (NMTC) can be effectively treated by surgery followed by radioactive iodide therapy. However, a small subset of patients shows recurrence due to a loss of iodide transport, a phenotype frequently associated with BRAF V600E mutations. In theory, this should enable the use of existing targeted therapies specifically designed for BRAF V600E mutations. However, in practice, generic or specific drugs aimed at molecular targets identified by next generation sequencing (NGS) are not always beneficial. Detailed kinase profiling may provide additional information to help improve therapy success rates. In this study, we therefore investigated whether serine/threonine kinase (STK) activity profiling can accurately classify benign thyroid lesions and NMTC. We also determined whether dabrafenib (BRAF V600E-specific inhibitor), as well as sorafenib and regorafenib (RAF inhibitors), can differentiate BRAF V600E from non-BRAF V600E thyroid tumors. Using 21 benign and 34 malignant frozen thyroid tumor samples, we analyzed serine/threonine kinase activity using PamChip®peptide microarrays. An STK kinase activity classifier successfully differentiated malignant (26/34; 76%) from benign tumors (16/21; 76%). Of the kinases analyzed, PKC (theta) and PKD1 in particular, showed differential activity in benign and malignant tumors, while oncocytic neoplasia or Graves' disease contributed to erroneous classifications. Ex vivo BRAF V600E-specific dabrafenib kinase inhibition identified 6/92 analyzed peptides, capable of differentiating BRAF V600E-mutant from non-BRAF V600E papillary thyroid cancers (PTCs), an effect not seen with the generic inhibitors sorafenib and regorafenib. In conclusion, STK activity profiling differentiates benign from malignant thyroid tumors and generates unbiased hypotheses regarding differentially active kinases. This approach can serve as a model to select novel kinase inhibitors based on tissue analysis of recurrent thyroid and other cancers.
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Affiliation(s)
- Riet Hilhorst
- PamGene International BV, 5211 HH ‘s-Hertogenbosch, The Netherlands; (R.H.)
| | | | - Piet Boender
- PamGene International BV, 5211 HH ‘s-Hertogenbosch, The Netherlands; (R.H.)
| | - Tom van Wezel
- Leiden University Medical Center, 2333 ZA Leiden, The Netherlands (H.M.)
| | - Tim Kievits
- PamGene International BV, 5211 HH ‘s-Hertogenbosch, The Netherlands; (R.H.)
| | - Rik de Wijn
- PamGene International BV, 5211 HH ‘s-Hertogenbosch, The Netherlands; (R.H.)
| | - Rob Ruijtenbeek
- PamGene International BV, 5211 HH ‘s-Hertogenbosch, The Netherlands; (R.H.)
| | - Willem E. Corver
- Leiden University Medical Center, 2333 ZA Leiden, The Netherlands (H.M.)
| | - Hans Morreau
- Leiden University Medical Center, 2333 ZA Leiden, The Netherlands (H.M.)
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2
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Auffray C, Balling R, Barroso I, Bencze L, Benson M, Bergeron J, Bernal-Delgado E, Blomberg N, Bock C, Conesa A, Del Signore S, Delogne C, Devilee P, Di Meglio A, Eijkemans M, Flicek P, Graf N, Grimm V, Guchelaar HJ, Guo YK, Gut IG, Hanbury A, Hanif S, Hilgers RD, Honrado Á, Hose DR, Houwing-Duistermaat J, Hubbard T, Janacek SH, Karanikas H, Kievits T, Kohler M, Kremer A, Lanfear J, Lengauer T, Maes E, Meert T, Müller W, Nickel D, Oledzki P, Pedersen B, Petkovic M, Pliakos K, Rattray M, I Màs JR, Schneider R, Sengstag T, Serra-Picamal X, Spek W, Vaas LAI, van Batenburg O, Vandelaer M, Varnai P, Villoslada P, Vizcaíno JA, Wubbe JPM, Zanetti G. Erratum to: Making sense of big data in health research: towards an EU action plan. Genome Med 2016; 8:118. [PMID: 27821178 PMCID: PMC5100330 DOI: 10.1186/s13073-016-0376-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Accepted: 10/26/2016] [Indexed: 11/10/2022] Open
Affiliation(s)
- Charles Auffray
- European Institute for Systems Biology and Medicine, 1 avenue Claude Vellefaux, 75010, Paris, France. .,CIRI-UMR5308, CNRS-ENS-INSERM-UCBL, Université de Lyon, 50 avenue Tony Garnier, 69007, Lyon, France.
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 7 Avenue des Hauts Fourneaux, 4362, Esch-sur-Alzette, Luxembourg.
| | - Inês Barroso
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - László Bencze
- Health Services Management Training Centre, Faculty of Health and Public Services, Semmelweis University, Kútvölgyi út 2, 1125, Budapest, Hungary
| | - Mikael Benson
- Centre for Personalised Medicine, Linköping University, 581 85, Linköping, Sweden
| | - Jay Bergeron
- Translational & Bioinformatics, Pfizer Inc., 300 Technology Square, Cambridge, MA, 02139, USA
| | - Enrique Bernal-Delgado
- Institute for Health Sciences, IACS - IIS Aragon, San Juan Bosco 13, 50009, Zaragoza, Spain
| | - Niklas Blomberg
- ELIXIR, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Christoph Bock
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT25.2, 1090, Vienna, Austria.,Department of Laboratory Medicine, Medical University of Vienna, Lazarettgasse 14, AKH BT25.2, 1090, Vienna, Austria.,Max Planck Institute for Informatics, Campus E1 4, 66123, Saarbrücken, Germany
| | - Ana Conesa
- Príncipe Felipe Research Center, C/Eduardo Primo Yúfera 3, 46012, Valencia, Spain.,University of Florida, Institute of Food and Agricultural Sciences (IFAS), 2033 Mowry Road, Gainesville, FL, 32610, USA
| | | | - Christophe Delogne
- Technology, Data & Analytics, KPMG Luxembourg, Société Coopérative, 39 Avenue John F. Kennedy, 1855, Luxembourg, Luxembourg
| | - Peter Devilee
- Department of Human Genetics, Department of Pathology, Leiden University Medical Centre, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Alberto Di Meglio
- Information Technology Department, European Organization for Nuclear Research (CERN), 385 Route de Meyrin, 1211, Geneva 23, Switzerland
| | - Marinus Eijkemans
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA, Utrecht, The Netherlands
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Norbert Graf
- Department of Pediatric Oncology/Hematology, Saarland University, Campus Homburg, Building 9, 66421, Homburg, Germany
| | - Vera Grimm
- Project Management Jülich, Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, 52428, Jülich, Germany
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Yi-Ke Guo
- Data Science Institute, Imperial College London, South Kensington, London, SW7 2AZ, UK
| | - Ivo Glynne Gut
- CNAG-CRG, Center for Genomic Regulation, Barcelona Institute for Science and Technology (BIST), C/Baldiri Reixac 4, 08029, Barcelona, Spain
| | - Allan Hanbury
- Institute of Software Technology and Interactive Systems, TU Wien, Favoritenstrasse 9-11/188, 1040, Vienna, Austria
| | - Shahid Hanif
- The Association of the British Pharmaceutical Industry, 7th Floor, Southside, 105 Victoria Street, London, SW1E 6QT, UK
| | - Ralf-Dieter Hilgers
- Department of Medical Statistics, RWTH-Aachen University, Universitätsklinikum Aachen, Pauwelsstraße 30, 52074, Aachen, Germany
| | - Ángel Honrado
- SYNAPSE Research Management Partners, Diputació 237, Àtic 3ª, 08007, Barcelona, Spain
| | - D Rod Hose
- Department of Infection, Immunity and Cardiovascular Disease and Insigneo Institute for In-Silico Medicine, Medical School, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK
| | | | - Tim Hubbard
- Department of Medical & Molecular Genetics, King's College London, London, SE1 9RT, UK.,Genomics England, London, EC1M 6BQ, UK
| | - Sophie Helen Janacek
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Haralampos Karanikas
- National and Kapodistrian University of Athens, Medical School, Xristou Lada 6, 10561, Athens, Greece
| | - Tim Kievits
- Vitromics Healthcare Holding B.V., Onderwijsboulevard 225, 5223 DE, 's-Hertogenbosch, The Netherlands
| | - Manfred Kohler
- Fraunhofer Institute for Molecular Biology and Applied Ecology ScreeningPort, Schnackenburgallee 114, 22525, Hamburg, Germany
| | - Andreas Kremer
- ITTM S.A., 9 avenue des Hauts Fourneaux, 4362, Esch-sur-Alzette, Luxembourg
| | - Jerry Lanfear
- Research Business Technology, Pfizer Ltd, GP4 Building, Granta Park, Cambridge, CB21 6GP, UK
| | - Thomas Lengauer
- Max Planck Institute for Informatics, Campus E1 4, 66123, Saarbrücken, Germany
| | - Edith Maes
- Health Economics & Outcomes Research, Deloitte Belgium, Berkenlaan 8A, 1831, Diegem, Belgium
| | - Theo Meert
- Janssen Pharmaceutica N.V., R&D G3O, Turnhoutseweg 30, 2340, Beerse, Belgium
| | - Werner Müller
- Faculty of Life Sciences, University of Manchester, AV Hill Building, Oxford Road, Manchester, M13 9PT, UK
| | - Dörthe Nickel
- UMR3664 IC/CNRS, Institut Curie, Section Recherche, Pavillon Pasteur, 26 rue d'Ulm, 75248, Paris cedex 05, France
| | - Peter Oledzki
- Linguamatics Ltd, 324 Cambridge Science Park Milton Rd, Cambridge, CB4 0WG, UK
| | - Bertrand Pedersen
- PwC Luxembourg, 2 rue Gerhard Mercator, 2182, Luxembourg, Luxembourg
| | - Milan Petkovic
- Philips, HighTechCampus 36, 5656AE, Eindhoven, The Netherlands
| | - Konstantinos Pliakos
- Department of Public Health and Primary Care, KU Leuven Kulak, Etienne Sabbelaan 53, 8500, Kortrijk, Belgium
| | - Magnus Rattray
- Faculty of Life Sciences, University of Manchester, AV Hill Building, Oxford Road, Manchester, M13 9PT, UK
| | - Josep Redón I Màs
- INCLIVA Health Research Institute, University of Valencia, CIBERobn ISCIII, Avenida Menéndez Pelayo 4 accesorio, 46010, Valencia, Spain
| | - Reinhard Schneider
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 7 Avenue des Hauts Fourneaux, 4362, Esch-sur-Alzette, Luxembourg
| | - Thierry Sengstag
- Swiss Institute of Bioinformatics (SIB) and University of Basel, Klingelbergstrasse 50/ 70, 4056, Basel, Switzerland
| | - Xavier Serra-Picamal
- Agency for Health Quality and Assessment of Catalonia (AQuAS), Carrer de Roc Boronat 81-95, 08005, Barcelona, Spain
| | - Wouter Spek
- EuroBioForum Foundation, Chrysantstraat 10, 3135 HG, Vlaardingen, The Netherlands
| | - Lea A I Vaas
- Fraunhofer Institute for Molecular Biology and Applied Ecology ScreeningPort, Schnackenburgallee 114, 22525, Hamburg, Germany
| | - Okker van Batenburg
- EuroBioForum Foundation, Chrysantstraat 10, 3135 HG, Vlaardingen, The Netherlands
| | - Marc Vandelaer
- Integrated BioBank of Luxembourg, 6 rue Nicolas-Ernest Barblé, 1210, Luxembourg, Luxembourg
| | - Peter Varnai
- Technopolis Group, 3 Pavilion Buildings, Brighton, BN1 1EE, UK
| | - Pablo Villoslada
- Hospital Clinic of Barcelona, Institute d'Investigacions Biomediques August Pi Sunyer (IDIBAPS), Rosello 149, 08036, Barcelona, Spain
| | - Juan Antonio Vizcaíno
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - John Peter Mary Wubbe
- European Platform for Patients' Organisations, Science and Industry (Epposi), De Meeûs Square 38-40, 1000, Brussels, Belgium
| | - Gianluigi Zanetti
- CRS4, Ed.1 POLARIS, 09129, Pula, Italy.,BBMRI-ERIC, Neue Stiftingtalstrasse 2/B/6, 8010, Graz, Austria
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3
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Auffray C, Balling R, Barroso I, Bencze L, Benson M, Bergeron J, Bernal-Delgado E, Blomberg N, Bock C, Conesa A, Del Signore S, Delogne C, Devilee P, Di Meglio A, Eijkemans M, Flicek P, Graf N, Grimm V, Guchelaar HJ, Guo YK, Gut IG, Hanbury A, Hanif S, Hilgers RD, Honrado Á, Hose DR, Houwing-Duistermaat J, Hubbard T, Janacek SH, Karanikas H, Kievits T, Kohler M, Kremer A, Lanfear J, Lengauer T, Maes E, Meert T, Müller W, Nickel D, Oledzki P, Pedersen B, Petkovic M, Pliakos K, Rattray M, I Màs JR, Schneider R, Sengstag T, Serra-Picamal X, Spek W, Vaas LAI, van Batenburg O, Vandelaer M, Varnai P, Villoslada P, Vizcaíno JA, Wubbe JPM, Zanetti G. Making sense of big data in health research: Towards an EU action plan. Genome Med 2016; 8:71. [PMID: 27338147 PMCID: PMC4919856 DOI: 10.1186/s13073-016-0323-y] [Citation(s) in RCA: 124] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of "big data" for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. Europe is very proud of its cultural diversity; however, exploitation of the data made available through advances in genomic medicine, imaging, and a wide range of mobile health applications or connected devices is hampered by numerous historical, technical, legal, and political barriers. European health systems and databases are diverse and fragmented. There is a lack of harmonization of data formats, processing, analysis, and data transfer, which leads to incompatibilities and lost opportunities. Legal frameworks for data sharing are evolving. Clinicians, researchers, and citizens need improved methods, tools, and training to generate, analyze, and query data effectively. Addressing these barriers will contribute to creating the European Single Market for health, which will improve health and healthcare for all Europeans.
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Affiliation(s)
- Charles Auffray
- European Institute for Systems Biology and Medicine, 1 avenue Claude Vellefaux, 75010, Paris, France.
- CIRI-UMR5308, CNRS-ENS-INSERM-UCBL, Université de Lyon, 50 avenue Tony Garnier, 69007, Lyon, France.
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 7 Avenue des Hauts Fourneaux, 4362, Esch-sur-Alzette, Luxembourg.
| | - Inês Barroso
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - László Bencze
- Health Services Management Training Centre, Faculty of Health and Public Services, Semmelweis University, Kútvölgyi út 2, 1125, Budapest, Hungary
| | - Mikael Benson
- Centre for Personalised Medicine, Linköping University, 581 85, Linköping, Sweden
| | - Jay Bergeron
- Translational & Bioinformatics, Pfizer Inc., 300 Technology Square, Cambridge, MA, 02139, USA
| | - Enrique Bernal-Delgado
- Institute for Health Sciences, IACS - IIS Aragon, San Juan Bosco 13, 50009, Zaragoza, Spain
| | - Niklas Blomberg
- ELIXIR, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Christoph Bock
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT25.2, 1090, Vienna, Austria
- Department of Laboratory Medicine, Medical University of Vienna, Lazarettgasse 14, AKH BT25.2, 1090, Vienna, Austria
- Max Planck Institute for Informatics, Campus E1 4, 66123, Saarbrücken, Germany
| | - Ana Conesa
- Príncipe Felipe Research Center, C/ Eduardo Primo Yúfera 3, 46012, Valencia, Spain
- University of Florida, Institute of Food and Agricultural Sciences (IFAS), 2033 Mowry Road, Gainesville, FL, 32610, USA
| | | | - Christophe Delogne
- Technology, Data & Analytics, KPMG Luxembourg, Société Coopérative, 39 Avenue John F. Kennedy, 1855, Luxembourg, Luxembourg
| | - Peter Devilee
- Department of Human Genetics, Department of Pathology, Leiden University Medical Centre, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Alberto Di Meglio
- Information Technology Department, European Organization for Nuclear Research (CERN), 385 Route de Meyrin, 1211, Geneva 23, Switzerland
| | - Marinus Eijkemans
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA, Utrecht, The Netherlands
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Norbert Graf
- Department of Pediatric Oncology/Hematology, Saarland University, Campus Homburg, Building 9, 66421, Homburg, Germany
| | - Vera Grimm
- Project Management Jülich, Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, 52428, Jülich, Germany
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Yi-Ke Guo
- Data Science Institute, Imperial College London, South Kensington, London, SW7 2AZ, UK
| | - Ivo Glynne Gut
- CNAG-CRG, Center for Genomic Regulation, Barcelona Institute for Science and Technology (BIST), C/Baldiri Reixac 4, 08029, Barcelona, Spain
| | - Allan Hanbury
- Institute of Software Technology and Interactive Systems, TU Wien, Favoritenstrasse 9-11/188, 1040, Vienna, Austria
| | - Shahid Hanif
- The Association of the British Pharmaceutical Industry, 7th Floor, Southside, 105 Victoria Street, London, SW1E 6QT, UK
| | - Ralf-Dieter Hilgers
- Department of Medical Statistics, RWTH-Aachen University, Universitätsklinikum Aachen, Pauwelsstraße 30, 52074, Aachen, Germany
| | - Ángel Honrado
- SYNAPSE Research Management Partners, Diputació 237, Àtic 3ª, 08007, Barcelona, Spain
| | - D Rod Hose
- Department of Infection, Immunity and Cardiovascular Disease and Insigneo Institute for In-Silico Medicine, Medical School, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK
| | | | - Tim Hubbard
- Department of Medical & Molecular Genetics, King's College London, London, SE1 9RT, UK
- Genomics England, London, EC1M 6BQ, UK
| | - Sophie Helen Janacek
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Haralampos Karanikas
- National and Kapodistrian University of Athens, Medical School, Xristou Lada 6, 10561, Athens, Greece
| | - Tim Kievits
- Vitromics Healthcare Holding B.V., Onderwijsboulevard 225, 5223 DE, 's-Hertogenbosch, The Netherlands
| | - Manfred Kohler
- Fraunhofer Institute for Molecular Biology and Applied Ecology ScreeningPort, Schnackenburgallee 114, 22525, Hamburg, Germany
| | - Andreas Kremer
- ITTM S.A., 9 avenue des Hauts Fourneaux, 4362, Esch-sur-Alzette, Luxembourg
| | - Jerry Lanfear
- Research Business Technology, Pfizer Ltd, GP4 Building, Granta Park, Cambridge, CB21 6GP, UK
| | - Thomas Lengauer
- Max Planck Institute for Informatics, Campus E1 4, 66123, Saarbrücken, Germany
| | - Edith Maes
- Health Economics & Outcomes Research, Deloitte Belgium, Berkenlaan 8A, 1831, Diegem, Belgium
| | - Theo Meert
- Janssen Pharmaceutica N.V., R&D G3O, Turnhoutseweg 30, 2340, Beerse, Belgium
| | - Werner Müller
- Faculty of Life Sciences, University of Manchester, AV Hill Building, Oxford Road, Manchester, M13 9PT, UK
| | - Dörthe Nickel
- UMR3664 IC/CNRS, Institut Curie, Section Recherche, Pavillon Pasteur, 26 rue d'Ulm, 75248, Paris cedex 05, France
| | - Peter Oledzki
- Linguamatics Ltd, 324 Cambridge Science Park Milton Rd, Cambridge, CB4 0WG, UK
| | - Bertrand Pedersen
- PwC Luxembourg, 2 rue Gerhard Mercator, 2182, Luxembourg, Luxembourg
| | - Milan Petkovic
- Philips, HighTechCampus 36, 5656AE, Eindhoven, The Netherlands
| | - Konstantinos Pliakos
- Department of Public Health and Primary Care, KU Leuven Kulak, Etienne Sabbelaan 53, 8500, Kortrijk, Belgium
| | - Magnus Rattray
- Faculty of Life Sciences, University of Manchester, AV Hill Building, Oxford Road, Manchester, M13 9PT, UK
| | - Josep Redón I Màs
- INCLIVA Health Research Institute, University of Valencia, CIBERobn ISCIII, Avenida Menéndez Pelayo 4 accesorio, 46010, Valencia, Spain
| | - Reinhard Schneider
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 7 Avenue des Hauts Fourneaux, 4362, Esch-sur-Alzette, Luxembourg
| | - Thierry Sengstag
- Swiss Institute of Bioinformatics (SIB) and University of Basel, Klingelbergstrasse 50/70, 4056, Basel, Switzerland
| | - Xavier Serra-Picamal
- Agency for Health Quality and Assessment of Catalonia (AQuAS), Carrer de Roc Boronat 81-95, 08005, Barcelona, Spain
| | - Wouter Spek
- EuroBioForum Foundation, Chrysantstraat 10, 3135 HG, Vlaardingen, The Netherlands
| | - Lea A I Vaas
- Fraunhofer Institute for Molecular Biology and Applied Ecology ScreeningPort, Schnackenburgallee 114, 22525, Hamburg, Germany
| | - Okker van Batenburg
- EuroBioForum Foundation, Chrysantstraat 10, 3135 HG, Vlaardingen, The Netherlands
| | - Marc Vandelaer
- Integrated BioBank of Luxembourg, 6 rue Nicolas-Ernest Barblé, 1210, Luxembourg, Luxembourg
| | - Peter Varnai
- Technopolis Group, 3 Pavilion Buildings, Brighton, BN1 1EE, UK
| | - Pablo Villoslada
- Hospital Clinic of Barcelona, Institute d'Investigacions Biomediques August Pi Sunyer (IDIBAPS), Rosello 149, 08036, Barcelona, Spain
| | - Juan Antonio Vizcaíno
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - John Peter Mary Wubbe
- European Platform for Patients' Organisations, Science and Industry (Epposi), De Meeûs Square 38-40, 1000, Brussels, Belgium
| | - Gianluigi Zanetti
- CRS4, Ed.1 POLARIS, 09129, Pula, Italy
- BBMRI-ERIC, Neue Stiftingtalstrasse 2/B/6, 8010, Graz, Austria
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Hilhorst MH, van den Berg A, van Wezel T, Kievits T, Boender PJ, de Wijn R, Ruijtenbeek R, Corver W, Morreau H. Abstract 4322: Kinase activity profiles distinguish papillary thyroid cancers with and without BRAF V600E mutations. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-4322] [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
Background: Most differentiated non medullary thyroid cancers (DTC) are curatively treated by surgery and radio-active iodine ablation therapy. A subset of patients shows recurrence due to a loss of iodine transport. Two main subgroups of recurrent DTC are seen: papillary thyroid cancers (PTC) with somatic BRAF mutations (V600E) and oncocytic follicular cancer. Recurrent DTC are clinically treated by multi-kinase inhibitors such as sorafenib, with a low affinity for BRAF V600E. Vemurafenib and dabrafenib were specifically designed against this mutant.
The aim of this study was twofold:
- Can benign and malign DTC be classified based on kinase activity profiles?
- Do sorafenib (and regorafenib) show different inhibition profiles than dabrafenib?
Methods: Tissue cryosections from fresh frozen thyroid tumors were lysed. All tumor specimens were analyzed for BRAF mutations. Serine/threonine kinase (STK) activity profiles of the lysates (0.5 μg protein per array) were generated on PamChip® peptide microarrays, comprising peptide sequences from known human phosphorylation sites. The ex vivo effect of BRAF inhibitors sorafenib, regorafenib and dabrafenib on kinase activity profiles of 14 PTC's was determined as well. Data were analysed with Bionavigator software.
Results: A classifier built on the STK kinase activity profiles of 57 thyroid cancer samples was able to classify malignant and benign tumors with a limited error rate. Leave One Out Cross Validation classified 26/35 of malignant and 17/22 of benign samples correctly. Kinase inhibition profiles of PTC's with sorafenib and regorafenib did not discrimate V600E mutants from wild type tumors whereas with dabrafenib 34/144 peptides were identified that potentially differentiated the groups.
Conclusions: Serine/threonine kinase activity profiling appears to be able to differentiate benign and malignant thyroid tumors. Ex vivo spiking in of kinase inhibitors shows differential inhibition in tumors with a somatic BRAF mutation. Potentially, an industrial prediction platform can be envisioned for testing of novel drugs in tumor tissue. Whether individual patient responses against registered kinase inhibitors can be predicted must be investigated.
Citation Format: Maria H. Hilhorst, Adrienne van den Berg, Tom van Wezel, Tim Kievits, Piet J. Boender, Rik de Wijn, Rob Ruijtenbeek, Wim Corver, Hans Morreau. Kinase activity profiles distinguish papillary thyroid cancers with and without BRAF V600E mutations. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4322. doi:10.1158/1538-7445.AM2015-4322
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Affiliation(s)
| | | | | | - Tim Kievits
- 3VitrOmics BV, 's-Hertogenbosch, Netherlands
| | | | - Rik de Wijn
- 1PamGene International BV, 's-Hertogenbosch, Netherlands
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Ruijtenbeek R, van den Berg A, Hilhorst R, Kueffer S, Gaiter T, Kievits T, Ebert M. On-chip drug testing of an aggressive intra-abdominal variant of inflammatory myofibroblastic tumor by kinase activity profiling. J Clin Oncol 2013. [DOI: 10.1200/jco.2013.31.15_suppl.e14702] [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: 11/20/2022] Open
Abstract
e14702 Background: A patient presented with an expansivetumor of the liver, which infiltrated diaphragm, duodenum, gastric wall, pancreas and gall bladder. Pathological examination revealed a tumor dominated by infiltrating sheets of epithelioid-to-round cells with a prominent inflammatory infiltrate. Immunohistochemistry showed a positive reaction for vimentin but stained negative for S100, HMB45, Aktin, Desmin, CD117, DOG1, WT1, CDK4, mdm2 and ALK. Diagnosis of an ALK negative aggressive intra-abdominal variant of Inflammatory Myofibroblastic Tumor (IMT) was established. While it is know that approximately 50% of IMTs contain clonal rearrangements involving the ALK gene (Am. J. Surg. Pathol. 2011 135-144), little is known about the ALK-negative variant. The aim of the current study was to gain insights in potential aberrant signaling pathways in this rare tumor and potentially identify alternative druggable pathways. Methods: Kinase activity profiles of the tumor lysate were generated on PamChip peptide microarrays in the presence and absence of a concentration series of the protein kinase inhibitors (PKIs) erlotinib, imatinib, sorafenib, masitinib, crenolanib and tivozanib. Inhibitor effects on this IMT tumor lysate were compared to those on lysates from other tumor types, followed by bioinformatic analysis. Results: Comparing the different kinase inhibition profiles, erlotinib was the least effective inhibitor, while sorafenib and imatinib inhibited phosphorylation of a set of peptides that are known to be substrates for their kinase targets c-KIT, PDGFRα and PDGFRβ. The degree of inhibition in the IMT sample was higher than in tumor samples where these drugs are approved like CML and RCC (as well as in non-approved indications like CRC and AML). In the closely related sarcoma GIST, these kinases are successful targets. Additional prove of their involvement in this IMT variant was found in the positive inhibition profiles using crenolanib and masitinib. Conclusions: c-Kit and PDGFR and corresponding kinase inhibitors would be a pathway/drug combination of choice for drug development in this variant of IMT.
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Affiliation(s)
| | | | - Riet Hilhorst
- PamGene International BV, 's-Hertogenbosch, Netherlands
| | - Stefan Kueffer
- University Medical Center Göttingen, University of Göttingen, Göttingen, Germany
| | - Timo Gaiter
- Institute of Pathology, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany
| | - Tim Kievits
- PamGene International BV, 's-Hertogenbosch, Netherlands
| | - Matthias Ebert
- Department of Medicine II, University Hospital Mannheim, University of Heidelberg, Mannheim, Germany
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6
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van Beuningen R, van Damme H, Boender P, Bastiaensen N, Chan A, Kievits T. Fast and Specific Hybridization Using Flow-Through Microarrays on Porous Metal Oxide. Clin Chem 2001. [DOI: 10.1093/clinchem/47.10.1931] [Citation(s) in RCA: 38] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Rinie van Beuningen
- PamGene B.V., Burgemeester Loeffplein 70a, 5211RX Den Bosch, The Netherlands
| | - Henk van Damme
- PamGene B.V., Burgemeester Loeffplein 70a, 5211RX Den Bosch, The Netherlands
| | - Piet Boender
- PamGene B.V., Burgemeester Loeffplein 70a, 5211RX Den Bosch, The Netherlands
| | - Niek Bastiaensen
- PamGene B.V., Burgemeester Loeffplein 70a, 5211RX Den Bosch, The Netherlands
| | - Alan Chan
- PamGene B.V., Burgemeester Loeffplein 70a, 5211RX Den Bosch, The Netherlands
| | - Tim Kievits
- PamGene B.V., Burgemeester Loeffplein 70a, 5211RX Den Bosch, The Netherlands
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7
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Romano JW, van Gemen B, Kievits T. NASBA: a novel, isothermal detection technology for qualitative and quantitative HIV-1 RNA measurements. Clin Lab Med 1996; 16:89-103. [PMID: 8867585] [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: 02/02/2023]
Abstract
Although immunoassays have long served as the standard in the field of diagnostics, the advent of nucleic acid amplification technologies allows for a new array of diagnostic applications. NASBA, nucleic acid sequence-based amplification, is one such technology that is highly suited for the amplification of RNA. As such, NASBA is applied readily as a diagnostic tool for infectious diseases, particularly for RNA viruses, such as retroviruses. The development and application of NASBA technology as a qualitative and quantitative diagnostic system for HIV-1 are described in this article.
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Affiliation(s)
- J W Romano
- Department of Cell Biology, Advanced BioScience Laboratories, Inc., Kensington, Maryland, 20855, USA
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8
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Romano JW, van Gemen B, Kievits T. NASBA: A Novel, Isothermal Detection Technology for Qualitative and Quantitative HIV-1 RNA Measurements. Clin Lab Med 1996. [DOI: 10.1016/s0272-2712(18)30289-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.6] [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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9
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Van Gemen B, Kievits T, Romano J. Transcription based nucleic acid amplification methods like nasba and 3sr applied to viral diagnosis. Rev Med Virol 1995. [DOI: 10.1002/rmv.1980050404] [Citation(s) in RCA: 5] [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: 11/11/2022]
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10
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Vandamme AM, Van Dooren S, Kok W, Goubau P, Fransen K, Kievits T, Schmit JC, De Clercq E, Desmyter J. Detection of HIV-1 RNA in plasma and serum samples using the NASBA amplification system compared to RNA-PCR. J Virol Methods 1995; 52:121-32. [PMID: 7769025 DOI: 10.1016/0166-0934(94)00151-6] [Citation(s) in RCA: 52] [Impact Index Per Article: 1.8] [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: 01/27/2023]
Abstract
The presence of HIV-1 RNA in the plasma and serum of European and African patients was monitored using RNA-polymerase chain reaction (RNA-PCR) and the new isothermal NASBA nucleic acid amplification system encompassing a gel-based detection assay (ELGA). Identical RNA extraction procedures, provided by the NASBA amplification system, were used for both methods. The detection limit for HIV-1 RNA, measured on a 10-fold dilution series of spiked HIVIIIB in negative plasma, was about 0.05 CCID50 per test for both methods. Both NASBA and RNA-PCR were more sensitive than a p24 assay for the detection of circulating HIV-1 virus in blood: 17 of the 34 (50%) p24 antigen-tested seropositives were p24-positive while 32 (94%) were positive by NASBA and 30 (88%) by RNA-PCR. Among the 45 seropositives, 34 of which were tested for p24 antigen, 43 (96%) were positive by NASBA and 41 (91%) by RNA-PCR. Almost all seropositives had a detectable viral load in 100 microliters plasma. Lower viral loads were only encountered in some healthy seropositives with a higher CD4 count. There was no cross-reactivity with HIV-2 or HIV-I with both the RNA-PCR and NASBA. The extraction method used permitted the detection of HIV-1 RNA equally well in serum and in plasma with heparin or EDTA.
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Affiliation(s)
- A M Vandamme
- Rega Institute for Medical Research, Katholieke Universiteit Leuven, Belgium
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11
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Zaaijer HL, Kok W, ten Veen JH, Reesink HW, Foolen H, Winkel IN, Huisman JG, Cuypers HT, Kievits T, Lelie PN. Detection of HIV-1 RNA in plasma by isothermal amplification (NASBA) irrespective of the stage of HIV-1 infection. J Virol Methods 1995; 52:175-81. [PMID: 7769031 DOI: 10.1016/0166-0934(94)00160-i] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.4] [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: 01/27/2023]
Abstract
Using an experimental assay for isothermal amplification of HIV RNA in plasma (NASBA, Organon Teknika, Boxtel, The Netherlands), 70 samples from 59 HIV-1-infected persons and 29 samples from 28 uninfected volunteer blood donors were tested for the presence of HIV-1 RNA. The HIV-1-positive plasma samples were drawn from patients at various stages of infection: two samples from persons with signs of acute HIV infection (CDC stage I); 29 samples from 25 symptom-free persons (CDC stage II) and 39 samples from 32 persons with AIDS-related symptoms (CDC stage IV). All samples from HIV-1-infected persons had HIV-1 RNA, irrespective of the stage of infection (100% sensitivity). Testing the donor samples in duplicate, initially 54/58 samples (93%) tested negative for HIV-1 RNA. Repeated testing of the 4 samples with inconsistent test results showed all samples to be negative (specificity 100%). Detection of HIV-1 RNA in plasma by isothermal amplification (NASBA) promises to be a valuable alternative to the detection of HIV-1 RNA or DNA by the polymerase chain reaction.
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Affiliation(s)
- H L Zaaijer
- Central Laboratory of the Netherlands Red Cross Blood Transfusion Service (CLB), Amsterdam
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12
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van Gemen B, v d Wiel P, van Beuningen R, Sillekens P, Jurriaans S, Dries C, Schoones R, Kievits T. The one-tube quantitative HIV-1 RNA NASBA: precision, accuracy, and application. PCR Methods Appl 1995; 4:S177-84. [PMID: 8574186 DOI: 10.1101/gr.4.4.s177] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
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13
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van Gemen B, van Beuningen R, Nabbe A, van Strijp D, Jurriaans S, Lens P, Kievits T. A one-tube quantitative HIV-1 RNA NASBA nucleic acid amplification assay using electrochemiluminescent (ECL) labelled probes. J Virol Methods 1994; 49:157-67. [PMID: 7822457 DOI: 10.1016/0166-0934(94)90040-x] [Citation(s) in RCA: 170] [Impact Index Per Article: 5.7] [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: 01/27/2023]
Abstract
Quantification of HIV-1 viral RNA based on co-amplification of an internal standard Q-RNA dilution series requires a number of NASBA nucleic acid amplification reactions. For each internal standard Q-RNA concentration a separate NASBA amplification has to be performed. The development of an electrochemiluminescent (ECL) detection system with a dynamic signal detection range over 5 orders of magnitude enabled simplification of the Q-NASBA protocol. Three distinguishable Q-RNAs (QA, QB and QC) are mixed with the wild-type sample at different amounts (i.e. 10(4) QA, 10(3) QB and 10(2) QC molecules) and co-amplified with the wild-type RNA in one tube. Using ECL-labelled oligonucleotides the wild-type, QA, QB and QC amplificates are separately detected with a semi-automated ECL detection instrument and the ratio of the signals determined. The amount of initial wild-type RNA can be calculated from the ratio of wild-type signal to QA, QB and QC signals. This one-tube Q-NASBA protocol was compared to the earlier described protocol with six amplifications per quantification using model systems and HIV-1 RNA isolated from plasma of HIV-1-infected individuals. In all cases the quantification results of HIV-1 RNA were comparable between the two methods tested. Due to the use of only one amplification per quantification in the one-tube Q-NASBA protocol the QA, QB and QC internal standard RNA molecules can be added to the sample before nucleic acid isolation. The ratio of QA:QB:QC:WT RNAs, from which the initial input of WT-RNA is calculated, will remain constant independent of any loss that might occur during the nucleic acid isolation.
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Affiliation(s)
- B van Gemen
- Organon Teknika B.V., Boxtel, The Netherlands
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14
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van Gemen B, Kievits T, Nara P, Huisman HG, Jurriaans S, Goudsmit J, Lens P. Qualitative and quantitative detection of HIV-1 RNA by nucleic acid sequence-based amplification. AIDS 1993; 7 Suppl 2:S107-10. [PMID: 8161439 DOI: 10.1097/00002030-199311002-00020] [Citation(s) in RCA: 63] [Impact Index Per Article: 2.0] [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: 01/29/2023]
Abstract
AIM To develop a method to detect HIV-1 viral RNA by amplifying a specific nucleic acid sequence. METHOD The nucleic acid sequence-based amplification (NASBA) method uses the simultaneous activity of avian myeloblastosis virus reverse transcriptase, T7 RNA polymerase and RNase H to amplify a specific nucleic acid target sequence. VALIDATION An in vitro cultured HIV-1 stock solution was used to validate the NASBA method and determine the variation in RNA measurement. CONCLUSION Although NASBA is theoretically capable of specific amplification of RNA or DNA, it is most suitable for amplification of RNA, and therefore for detection of HIV-1 viral RNA.
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15
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van 't Veer LJ, van der Feltz MJ, van den Berg-Bakker CA, Cheng NC, Hermens RP, van Oorschot DA, Kievits T, Schrier PI. Activation of the mas oncogene involves coupling to human alphoid sequences. Oncogene 1993; 8:2673-81. [PMID: 8378079] [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: 01/30/2023]
Abstract
We have shown previously that mouse NIH3T3 cells transfected with DNA from a human ovarian carcinoma were rendered tumourigenic by an activated mas oncogene in four independent transfection experiments. In all cases the 5'-noncoding region was rearranged in comparison to the original ovarian tumour DNA. We now report that in all four transfectants the newly acquired sequences consist of human centromeric alpha satellite repeat DNA. In at least three transfectants the alphoid DNA originates from the centromere of chromosome three. Analysis of the sequences of the recombination site in one transfectant revealed that a homologous sequence of five base pairs (CAGCA) is present in both parental strands, and might thus have contributed to the recombinational event. To establish a conclusive role for alphoid DNA in the activation of mas, we performed a co-transfection experiment in NIH3T3 cells with cloned alphoid DNA and the mas coding sequence. We show that the transfectants expressing a transformed phenotype contain amplified mas linked to alphoid DNA. NIH3T3 cells transfected with plasmids that contained alphoid sequences cloned directly upstream of the mas coding sequence, and injected into nude mice, gave rise to tumours with amplified mas sequences (7/7). In six of these tumours the alphoid sequences were amplified as well. Our data suggest a novel mechanism of oncogene activation: recombination with normal alphoid repeat DNA resulting in amplification of the oncogene.
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Affiliation(s)
- L J van 't Veer
- Department of Clinical Oncology, University Hospital, Leiden, The Netherlands
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16
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van Gemen B, Kievits T, Schukkink R, van Strijp D, Malek LT, Sooknanan R, Huisman HG, Lens P. Quantification of HIV-1 RNA in plasma using NASBA during HIV-1 primary infection. J Virol Methods 1993; 43:177-87. [PMID: 8366168 DOI: 10.1016/0166-0934(93)90075-3] [Citation(s) in RCA: 118] [Impact Index Per Article: 3.8] [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: 01/30/2023]
Abstract
Quantification of HIV-1 viral RNA in plasma was achieved by competitive co-amplification of a dilution series of in vitro generated RNA using the nucleic acid sequence based amplification (NASBA) technology. This 1.5 kilobase in vitro RNA, comprising the gag and part of the pol region, differs only by sequence-randomization of a 20 nt fragment from the wild-type RNA, ensuring equal efficiency of amplification. In model systems the accuracy of this method is within one log. Application of the Q-NASBA to plasma samples of a patient with a primary HIV-1 infection shows good concordance of the HIV-1 RNA profile with the p24 antigen profile. However, the HIV-1 RNA determination is more sensitive than the p24 antigen determination. Peak values of HIV-1 RNA are around 10(8) RNA molecules per ml plasma at the moment of seroconversion. Quantitative nucleic acid detection methods, like Q-NASBA, allow the monitoring of HIV-1 RNA during the course of infection which might have predictive value for disease development.
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17
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Kievits T, van Gemen B, van Strijp D, Schukkink R, Dircks M, Adriaanse H, Malek L, Sooknanan R, Lens P. NASBA isothermal enzymatic in vitro nucleic acid amplification optimized for the diagnosis of HIV-1 infection. J Virol Methods 1991; 35:273-86. [PMID: 1726172 DOI: 10.1016/0166-0934(91)90069-c] [Citation(s) in RCA: 275] [Impact Index Per Article: 8.3] [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: 12/28/2022]
Abstract
Isothermal nucleic acid amplification of target RNA or DNA sequences is accomplished by the simultaneous enzymatic activity of AMV reverse transcriptase, T7 RNA polymerase and RNase H. Amplification factors of the nucleic acid sequence based amplification (NASBA) method range from 2 x 10(6) to 5 x 10(7) after 2.5 h incubation at 41 degrees C. During NASBA there is a major accumulation of specific single stranded RNA. RNA:DNA hybrid and double stranded DNA are also synthesized, although to a minor extent. The system is optimized for the detection of HIV-1 sequences in in vitro infected cells, blood and plasma. Detection levels are 10 molecules of HIV-1 in a model system with in vitro generated HIV-1 RNA as input and 5 infected cells on a background of 5 x 10(4) non-infected cells. Blood and plasma can also be used as the source of nucleic acid for detection of HIV-1 sequences using a specifically developed sample preparation method. Using NASBA it is possible to amplify specifically RNA or DNA from a pool of total nucleic acid, which permits the investigation of the expression of specific genes involved in pathogenesis of infectious agents. The combination of NASBA with a rapid and user-friendly nucleic acid extraction method makes the whole procedure suitable for large scale diagnosis of infectious agents (e.g. HIV-1).
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Affiliation(s)
- T Kievits
- Organon Teknika, Boxtel, The Netherlands
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18
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Devilee P, van Vliet M, Bardoel A, Kievits T, Kuipers-Dijkshoorn N, Pearson PL, Cornelisse CJ. Frequent somatic imbalance of marker alleles for chromosome 1 in human primary breast carcinoma. Cancer Res 1991; 51:1020-5. [PMID: 1670997] [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: 12/28/2022]
Abstract
Loss of heterozygosity at particular chromosomal loci in the tumor cell, as evidenced by restriction fragment length polymorphism analysis, has been taken as a hallmark of the presence of tumor suppressor genes. Recent studies of breast carcinoma have suggested that such genes might be located on the short as well as on the long arm of chromosome 1. We report here that comparison of constitutional and tumor genotypes of 84 breast tumors at 7 polymorphic chromosome 1 loci indicates a frequent imbalance of alleles on both 1p (12 of 61 informative patients) and 1q (37 of 71 informative patients). In about one-half of these cases, however, this imbalance was consistent with a gain in copy number of one allele in tumor DNA relative to normal DNA, rather than loss of the other. In 10 tumors we performed chromosome 1 enumeration in the interphase nucleus using in situ hybridization with a probe detecting the heterochromatin region at 1q12. These experiments confirmed the supernumerary presence of region 1q12 in those tumors showing an allelic copy number gain of 1q. We suggest that there are several genes on chromosome 1 serving as targets for these changes, some of them associated with breast cancer development through their deletion and others through an increase in copy number.
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Affiliation(s)
- P Devilee
- Department of Human Genetics, University Medical Center, Leiden, The Netherlands
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19
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Wapenaar MC, Kievits T, Meera Khan P, Pearson PL, Van Ommen GJ. Isolation and characterization of cell hybrids containing human Xp-chromosome fragments. Cytogenet Cell Genet 1990; 54:10-4. [PMID: 2249469 DOI: 10.1159/000132945] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
We have subjected C12D, a Chinese hamster hybrid containing only the human X chromosome, to 6-thioguanine selection. The majority of the derivative clones retained rearranged Xp-fragments, which were characterized by using a combination of enzyme markers, DNA probes, and in situ hybridization. Two of these, TG2 and TG5sc9.1, contained only an Xpter----p21 fragment and should be an ideal resource for directed cloning from this region. A possible mechanism for the specific retention of Xp-fragments is discussed.
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Affiliation(s)
- M C Wapenaar
- Department of Human Genetics, Sylvius Laboratory, State University of Leiden, The Netherlands
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20
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Dauwerse JG, Kievits T, Beverstock GC, van der Keur D, Smit E, Wessels HW, Hagemeijer A, Pearson PL, van Ommen GJ, Breuning MH. Rapid detection of chromosome 16 inversion in acute nonlymphocytic leukemia, subtype M4: regional localization of the breakpoint in 16p. Cytogenet Cell Genet 1990; 53:126-8. [PMID: 2369839 DOI: 10.1159/000132911] [Citation(s) in RCA: 41] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The pericentric inversion of chromosome 16 characteristic for acute nonlymphocytic leukemia, subtype M4, was detected in five patients by means of nonradioactive in situ hybridization of complete cosmids. First, five cosmids situated along the short arm of chromosome 16 were used to map the breakpoint of the inversion distal to the rare folate-sensitive fragile site FRA16A. Then, the use of two cosmids on either side of the breakpoint, combined with a probe specific for the centromeric region of chromosome 16, readily detected the inversion, even in poor metaphase spreads.
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Affiliation(s)
- J G Dauwerse
- Department of Human Genetics, State University of Leiden, The Netherlands
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21
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Kievits T, Dauwerse JG, Wiegant J, Devilee P, Breuning MH, Cornelisse CJ, van Ommen GJ, Pearson PL. Rapid subchromosomal localization of cosmids by nonradioactive in situ hybridization. Cytogenet Cell Genet 1990; 53:134-6. [PMID: 2369840 DOI: 10.1159/000132913] [Citation(s) in RCA: 114] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
A rapid method for localizing large numbers of complete cosmids by nonradioactive in situ hybridization is described. The cosmids are nick translated in the presence of biotin-16-dUTP, incubated with an excess of sonicated human DNA, and used as a probe for in situ hybridization. Sites of hybridization are detected by successive treatments with FITC-labeled avidin and biotinylated anti-avidin antibody. Fifty-two cosmids were localized on chromosome 16 in 5 d relative to translocation breakpoints contained in two cell lines. Rapid identification of chromosome 16 was achieved by cohybridization with a chromosome 16-specific centromeric repeat probe.
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Affiliation(s)
- T Kievits
- Department of Human Genetics, State University of Leiden, The Netherlands
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22
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Kievits T, Devilee P, Wiegant J, Wapenaar MC, Cornelisse CJ, van Ommen GJ, Pearson PL. Direct nonradioactive in situ hybridization of somatic cell hybrid DNA to human lymphocyte chromosomes. Cytometry 1990; 11:105-9. [PMID: 2307050 DOI: 10.1002/cyto.990110112] [Citation(s) in RCA: 44] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Biotinylated DNA from various human-rodent hybrids was hybridized to human lymphocyte spreads after preannealing of the repeated sequences with sonicated total human DNA. Fluorescent labeling was achieved by successive treatments with fluorescein-labeled avidin and biotinylated antiavidin antibody. The use of labeled total DNA from hybrids with known chromosome composition permits the fluorescent staining-("painting") of specific chromosomes, or parts thereof, in human lymphocyte metaphases. Alternatively, the human chromosome content of cell hybrids with unknown chromosome composition is directly assessed from the labeling pattern of human lymphocyte spreads using the total hybrid DNA as probe.
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Affiliation(s)
- T Kievits
- Department of Human Genetics, University of Leiden, The Netherlands
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23
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den Nijs van Weert JI, Beverstock GC, Kievits T, Haak HL, Havik-Bogaard FC, Leeksma CH. der(1)t(1;9): a specific chromosome abnormality in polycythemia vera? Cytogenetic and in situ hybridization studies. Cancer Genet Cytogenet 1989; 40:121-7. [PMID: 2758394 DOI: 10.1016/0165-4608(89)90153-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Two patients with polycythemia vera and an extra der(1)t(1;9) chromosome are reported. In one patient this was found as the sole abnormality. The other patient originally presented with trisomy 9 but later developed an extra der(1) during the further course of the disease with disapperance of the extra chromosome 9. In situ hybridization studies on this latter patient proved that the centromere of chromosome 1 was involved in the formation of the derivative chromosome.
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24
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Devilee P, Thierry RF, Kievits T, Kolluri R, Hopman AH, Willard HF, Pearson PL, Cornelisse CJ. Detection of chromosome aneuploidy in interphase nuclei from human primary breast tumors using chromosome-specific repetitive DNA probes. Cancer Res 1988; 48:5825-30. [PMID: 3167839] [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: 01/04/2023]
Abstract
We have used in situ hybridization with chromosome specific repetitive DNA sequences as a probe to reveal particular chromosomes as distinct spots or clusters of signal within interphase nuclei. Using karyotypically defined cells and cell lines, we show that the number of signals obtained per nucleus correlates with the number of particular chromosomes present in that nucleus. Further, admixtures of karyotypically different cell lines could be detected. In situ hybridization of nuclei and metaphase spreads derived from the breast cancer cell line MCF-7 shows that a deviant number of spots/nucleus indicates a numerical and/or structural chromosomal aberration. In seven primary breast tumors studied, we detected numerical aberrations of the target sites of chromosomes 1 and/or 18. Although all had a single peak in DNA flow measurements, six of the cases appeared to be heterogeneous with respect to their spots/nucleus content.
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Affiliation(s)
- P Devilee
- Department of Human Genetics, University of Leiden, The Netherlands
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Devilee P, Kievits T, Waye JS, Pearson PL, Willard HF. Chromosome-specific alpha satellite DNA: isolation and mapping of a polymorphic alphoid repeat from human chromosome 10. Genomics 1988; 3:1-7. [PMID: 3220475 DOI: 10.1016/0888-7543(88)90151-6] [Citation(s) in RCA: 63] [Impact Index Per Article: 1.8] [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: 01/04/2023]
Abstract
Distinct subsets of the human alpha satellite repetitive DNA family can be found in the centromeric region of each chromosome. Here we described the isolation and mapping of an alpha satellite repeat unit specific for human chromosome 10, using a somatic cell hybrid in which the only human centromere derives from chromosome 10. A hierarchical higher-order repeat unit, consisting of eight tandem approximately 171-bp alphoid monomer units, is defined by six restriction endonucleases. Under high-stringency conditions, a cloned representative of this 8-mer repeat family hybridizes to chromosome 10 only, both by Southern blot analysis of a somatic cell hybrid panel and by in situ hybridization. The probe furthermore detects a polymorphic restriction pattern of the alpha satellite array on chromosome 10. These features will make this probe a valuable genetic marker for studies of the centromeric region of chromosome 10.
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Affiliation(s)
- P Devilee
- Department of Human Genetics, University of Leiden, The Netherlands
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Wapenaar MC, Kievits T, Hart KA, Abbs S, Blonden LA, den Dunnen JT, Grootscholten PM, Bakker E, Verellen-Dumoulin C, Bobrow M. A deletion hot spot in the Duchenne muscular dystrophy gene. Genomics 1988; 2:101-8. [PMID: 2900805 DOI: 10.1016/0888-7543(88)90090-0] [Citation(s) in RCA: 80] [Impact Index Per Article: 2.2] [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: 01/03/2023]
Abstract
We have made a detailed study of a deletion hot spot in the distal half of the Duchenne muscular dystrophy (DMD) gene, using intragenic probe P20 (DXS269), isolated by a hybrid cell-mediated cloning procedure. P20 detects 16% deletions in patients suffering from either DMD or Becker muscular dystrophy (BMD), in sharp contrast to the adjacent intragenic markers JBir (7%) and J66 (less than 1%), mapping respectively 200-320 kb proximal and 380-500 kb distal to P20. Of the P20 deletions, 30% start within a region of 25-40 kb, the majority extending distally. P20 was confirmed to map internal to a distal intron of the DMD gene. This region was recently shown by both cDNA analysis (M. Koenig et al., 1987; Cell 50: 509-517), and field inversion electrophoresis studies (J.T. Den Dunnen et al., 1987, Nature (London) 329: 640-642) to be specifically prone to deletions. In addition, P20 detects MspI and EcoRV RFLPs, informative in 48% of the carrier females. Together, these properties make P20 useful for carrier detection, prenatal diagnosis, and the study of deletion induction in both DMD and BMD.
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Affiliation(s)
- M C Wapenaar
- Department of Human Genetics, Sylvius Laboratories, State University of Leiden, The Netherlands
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