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Marcus D, Phelps DL, Savage A, Balog J, Kudo H, Dina R, Bodai Z, Rosini F, Ip J, Amgheib A, Abda J, Manoli E, McKenzie J, Yazbek J, Takats Z, Ghaem-Maghami S. Point-of-Care Diagnosis of Endometrial Cancer Using the Surgical Intelligent Knife (iKnife)-A Prospective Pilot Study of Diagnostic Accuracy. Cancers (Basel) 2022; 14:5892. [PMID: 36497372 PMCID: PMC9736036 DOI: 10.3390/cancers14235892] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/25/2022] [Accepted: 11/26/2022] [Indexed: 12/03/2022] Open
Abstract
Introduction: Delays in the diagnosis and treatment of endometrial cancer negatively impact patient survival. The aim of this study was to establish whether rapid evaporative ionisation mass spectrometry using the iKnife can accurately distinguish between normal and malignant endometrial biopsy tissue samples in real time, enabling point-of-care (POC) diagnoses. Methods: Pipelle biopsy samples were obtained from consecutive women needing biopsies for clinical reasons. A Waters G2-XS Xevo Q-Tof mass spectrometer was used in conjunction with a modified handheld diathermy (collectively called the 'iKnife'). Each tissue sample was processed with diathermy, and the resultant surgical aerosol containing ionic lipid species was then analysed, producing spectra. Principal component analyses and linear discriminant analyses were performed to determine variance in spectral signatures. Leave-one-patient-out cross-validation was used to test the diagnostic accuracy. Results: One hundred and fifty patients provided Pipelle biopsy samples (85 normal, 59 malignant, 4 hyperplasia and 2 insufficient), yielding 453 spectra. The iKnife differentiated between normal and malignant endometrial tissues on the basis of differential phospholipid spectra. Cross-validation revealed a diagnostic accuracy of 89% with sensitivity, specificity, positive predictive value and negative predictive value of 85%, 93%, 94% and 85%, respectively. Conclusions: This study is the first to use the iKnife to identify cancer in endometrial Pipelle biopsy samples. These results are highly encouraging and suggest that the iKnife could be used in the clinic to provide a POC diagnosis.
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Affiliation(s)
- Diana Marcus
- Department of Surgery and Cancer, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - David L. Phelps
- Department of Gynaecological Oncology, University Hospital Southampton, Coxford Road, Southampton SO16 5YA, UK
| | - Adele Savage
- Department of Surgery and Cancer, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Julia Balog
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Hiromi Kudo
- Centre for Pathology, Imperial College London, 4th Floor Clarence Wing, St Mary’s Hospital, London W2 1NY, UK
| | - Roberto Dina
- Department of Surgery and Cancer, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Zsolt Bodai
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Francesca Rosini
- Department of Surgery and Cancer, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Jacey Ip
- Department of Surgery and Cancer, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Ala Amgheib
- Department of Surgery and Cancer, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Julia Abda
- Department of Surgery and Cancer, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Eftychios Manoli
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - James McKenzie
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Joseph Yazbek
- Department of Surgery and Cancer, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Zoltan Takats
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Sadaf Ghaem-Maghami
- Department of Surgery and Cancer, Imperial College London, Du Cane Road, London W12 0NN, UK
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Piemontese M, Balog J, Davies S, Dobson P, Barry F. Mesenchymal Stem/Stromal Cells: DESI-MSI AS NOVEL ANALYTICAL TOOL FOR METABOLIC PROFILING OF MESENCHYMAL STEM CELLS IN DIFFERENT MEDIA FORMULATIONS. Cytotherapy 2022. [DOI: 10.1016/s1465-3249(22)00194-3] [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: 11/03/2022]
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3
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Cameron SJS, Perdones-Montero A, Van Meulebroek L, Burke A, Alexander-Hardiman K, Simon D, Schaffer R, Balog J, Karancsi T, Rickards T, Rebec M, Stead S, Vanhaecke L, Takáts Z. Sample Preparation Free Mass Spectrometry Using Laser-Assisted Rapid Evaporative Ionization Mass Spectrometry: Applications to Microbiology, Metabolic Biofluid Phenotyping, and Food Authenticity. J Am Soc Mass Spectrom 2021; 32:1393-1401. [PMID: 33980015 DOI: 10.1021/jasms.0c00452] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Mass spectrometry has established itself as a powerful tool in the chemical, biological, medical, environmental, and agricultural fields. However, experimental approaches and potential application areas have been limited by a traditional reliance on sample preparation, extraction, and chromatographic separation. Ambient ionization mass spectrometry methods have addressed this challenge but are still somewhat restricted in requirements for sample manipulation to make it suitable for analysis. These limitations are particularly restrictive in view of the move toward high-throughput and automated analytical workflows. To address this, we present what we consider to be the first automated sample-preparation-free mass spectrometry platform utilizing a carbon dioxide (CO2) laser for sample thermal desorption linked to the rapid evaporative ionization mass spectrometry (LA-REIMS) methodology. We show that the pulsatile operation of the CO2 laser is the primary factor in achieving high signal-to-noise ratios. We further show that the LA-REIMS automated platform is suited to the analysis of three diverse biological materials within different application areas. First, clinical microbiology isolates were classified to species level with an accuracy of 97.2%, the highest accuracy reported in current literature. Second, fecal samples from a type 2 diabetes mellitus cohort were analyzed with LA-REIMS, which allowed tentative identification of biomarkers which are potentially associated with disease pathogenesis and a disease classification accuracy of 94%. Finally, we showed the ability of the LA-REIMS system to detect instances of adulteration of cooking oil and determine the geographical area of production of three protected olive oil products with 100% classification accuracy.
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Affiliation(s)
- Simon J S Cameron
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, U.K
| | - Alvaro Perdones-Montero
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
| | - Lieven Van Meulebroek
- Laboratory of Chemical Analysis, Department of Veterinary Public Health and Food Safety, Ghent University, Ghent B-9820, Belgium
| | - Adam Burke
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
| | - Kate Alexander-Hardiman
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
| | - Daniel Simon
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
- Waters Research Center, Budapest 1031, Hungary
| | | | - Julia Balog
- Waters Research Center, Budapest 1031, Hungary
| | | | - Tony Rickards
- Department of Microbiology, Imperial College Healthcare NHS Trust, London W6 8RD, U.K
| | - Monica Rebec
- Department of Microbiology, Imperial College Healthcare NHS Trust, London W6 8RD, U.K
| | - Sara Stead
- Waters Corporation, Wilmslow SK9 4AX, U.K
| | - Lynn Vanhaecke
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, U.K
- Laboratory of Chemical Analysis, Department of Veterinary Public Health and Food Safety, Ghent University, Ghent B-9820, Belgium
| | - Zoltán Takáts
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, U.K
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Goossens R, van den Boogaard M, Lemmers R, Balog J, van der Vliet P, Willemsen I, Schouten J, Maggio I, van der Stoep N, Hoeben R, Tapscott S, Geijsen N, Gonçalves M, Sacconi S, Tawil R, van der Maarel S. FSHD / OPMD / MYOTONIC DYSTROPHY. Neuromuscul Disord 2020. [DOI: 10.1016/j.nmd.2020.08.225] [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: 10/23/2022]
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5
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Ogrinc N, Saudemont P, Balog J, Robin YM, Gimeno JP, Pascal Q, Tierny D, Takats Z, Salzet M, Fournier I. Water-assisted laser desorption/ionization mass spectrometry for minimally invasive in vivo and real-time surface analysis using SpiderMass. Nat Protoc 2019; 14:3162-3182. [PMID: 31597965 DOI: 10.1038/s41596-019-0217-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [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: 12/26/2018] [Accepted: 06/14/2019] [Indexed: 11/09/2022]
Abstract
Rapid, sensitive, precise and accurate analysis of samples in their native in vivo environment is critical to better decipher physiological and physiopathological mechanisms. SpiderMass is an ambient mass spectrometry (MS) system designed for mobile in vivo and real-time surface analyses of biological tissues. The system uses a fibered laser, which is tuned to excite the most intense vibrational band of water, resulting in a process termed water-assisted laser desorption/ionization (WALDI). The water molecules act as an endogenous matrix in a matrix-assisted laser desorption ionization (MALDI)-like scenario, leading to the desorption/ionization of biomolecules (lipids, metabolites and proteins). The ejected material is transferred to the mass spectrometer through an atmospheric interface and a transfer line that is several meters long. Here, we formulate a three-stage procedure that includes (i) a laser system setup coupled to a Waters Q-TOF or Thermo Fisher Q Exactive mass analyzer, (ii) analysis of specimens and (iii) data processing. We also describe the optimal setup for the analysis of cell cultures, fresh-frozen tissue sections and in vivo experiments on skin. With proper optimization, the system can be used for a variety of different targets and applications. The entire procedure takes 1-2 d for complex samples.
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Affiliation(s)
- Nina Ogrinc
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France
| | - Philippe Saudemont
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France
- SATT-Nord, Immeuble Central Gare, Lille, France
| | - Julia Balog
- Department of Surgery and Cancer, St Mary's Hospital, Imperial College London, London, UK
| | - Yves-Marie Robin
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France
- Unité de Pathologie Morphologique et Moléculaire, Centre Oscar Lambret, Lille, France
| | - Jean-Pascal Gimeno
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France
| | - Quentin Pascal
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France
- OCR (Oncovet Clinical Research), Eurasanté, Loos, France
| | - Dominique Tierny
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France
- OCR (Oncovet Clinical Research), Eurasanté, Loos, France
| | - Zoltan Takats
- Department of Surgery and Cancer, St Mary's Hospital, Imperial College London, London, UK
| | - Michel Salzet
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France.
| | - Isabelle Fournier
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France.
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6
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Abstract
Rapid evaporative ionization mass spectrometry (REIMS) is a highly versatile technique allowing the sampling of a range of biological solid or liquid samples with no sample preparation. The cost of such a direct approach is that certain sample types provide only moderate amounts of chemical information. Here, we introduce a matrix assisted version of the technique (MA-REIMS), where an aerosol of a pure solvent, such as isopropanol, is mixed with the sample aerosol generated by rapid evaporation of the sample, and it is shown to enhance the signal intensity obtained from a REIMS sampling event by over 2 orders of magnitude. Such an increase greatly expands the scope of the technique, while providing additional benefits such as reducing the fouling of the REIMS source and allowing for a simple method of constant introduction of a calibration correction compound for accurate mass measurements. A range of experiments are presented in order to investigate the processes that occur within this modified approach, and applications where such enhancements are critical, such as intrasurgical tissue identification, are discussed.
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Affiliation(s)
- Emrys A Jones
- Waters Corporation , Altrincham Road , Wilmslow SK9 4AX , United Kingdom
| | - Daniel Simon
- Waters Research Center , Graphisoft Park, 7 Zahony Street , Budapest 1031 , Hungary
| | - Tamas Karancsi
- Waters Research Center , Graphisoft Park, 7 Zahony Street , Budapest 1031 , Hungary
| | - Julia Balog
- Waters Research Center , Graphisoft Park, 7 Zahony Street , Budapest 1031 , Hungary
| | - Steven D Pringle
- Waters Corporation , Altrincham Road , Wilmslow SK9 4AX , United Kingdom
| | - Zoltan Takats
- Imperial College London , South Kensington, London SW7 2AZ , United Kingdom
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7
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Saudemont P, Quanico J, Robin YM, Baud A, Balog J, Fatou B, Tierny D, Pascal Q, Minier K, Pottier M, Focsa C, Ziskind M, Takats Z, Salzet M, Fournier I. Real-Time Molecular Diagnosis of Tumors Using Water-Assisted Laser Desorption/Ionization Mass Spectrometry Technology. Cancer Cell 2018; 34:840-851.e4. [PMID: 30344004 DOI: 10.1016/j.ccell.2018.09.009] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Revised: 07/08/2018] [Accepted: 09/21/2018] [Indexed: 11/20/2022]
Abstract
Histopathological diagnosis of biopsy samples and margin assessment of surgical specimens are challenging aspects in sarcoma. Using dog patient tissues, we assessed the performance of a recently developed technology for fast ex vivo molecular lipid-based diagnosis of sarcomas. The instrument is based on mass spectrometry (MS) molecular analysis through a laser microprobe operating under ambient conditions using excitation of endogenous water molecules. Classification models based on cancer/normal/necrotic, tumor grade, and subtypes showed a minimum of 97.63% correct classification. Specific markers of normal, cancer, and necrotic regions were identified by tandem MS and validated by MS imaging. Real-time detection capabilities were demonstrated by ex vivo analysis with direct interrogation of classification models.
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Affiliation(s)
- Philippe Saudemont
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France; SATT-Nord, Immeuble Central Gare, 4(ème) étage, 25 Avenue Charles St Venant, 59800 Lille, France
| | - Jusal Quanico
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France; Université de Lille, CNRS UMR 8523, Physique des Lasers Atomes et Molécules (PhLAM), 59655 Villeneuve d'Ascq Cedex, France
| | - Yves-Marie Robin
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; Unité de Pathologie Morphologique et Moléculaire, Centre Oscar Lambret, 3 Rue Frédéric Combemale, 59020 Lille Cedex, France
| | - Anna Baud
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France
| | - Julia Balog
- European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France; Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, Praed Street, London, NW1 1SQ, UK
| | - Benoit Fatou
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France
| | - Dominique Tierny
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; OCR (Oncovet Clinical Research), Parc Eurasanté Lille Métropole, 80 Rue du Dr Yersin, 59120 Loos, France
| | - Quentin Pascal
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; OCR (Oncovet Clinical Research), Parc Eurasanté Lille Métropole, 80 Rue du Dr Yersin, 59120 Loos, France
| | - Kevin Minier
- Oncovet, Avenue Paul Langevin, 59650 Villeneuve d'Ascq, France
| | - Mélissa Pottier
- Oncovet, Avenue Paul Langevin, 59650 Villeneuve d'Ascq, France
| | - Cristian Focsa
- Université de Lille, CNRS UMR 8523, Physique des Lasers Atomes et Molécules (PhLAM), 59655 Villeneuve d'Ascq Cedex, France
| | - Michael Ziskind
- Université de Lille, CNRS UMR 8523, Physique des Lasers Atomes et Molécules (PhLAM), 59655 Villeneuve d'Ascq Cedex, France
| | - Zoltan Takats
- European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France; Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, Praed Street, London, NW1 1SQ, UK.
| | - Michel Salzet
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France.
| | - Isabelle Fournier
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France.
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van den Heuvel A, Mahfouz A, Kloet S, Balog J, van Engelen B, Tawil R, Tapscott S, van der Maarel S. NEW GENES, FUNCTIONS AND BIOMARKERS. Neuromuscul Disord 2018. [DOI: 10.1016/j.nmd.2018.06.027] [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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Bodai Z, Cameron S, Bolt F, Simon D, Schaffer R, Karancsi T, Balog J, Rickards T, Burke A, Hardiman K, Abda J, Rebec M, Takats Z. Effect of Electrode Geometry on the Classification Performance of Rapid Evaporative Ionization Mass Spectrometric (REIMS) Bacterial Identification. J Am Soc Mass Spectrom 2018; 29:26-33. [PMID: 29038998 PMCID: PMC5785610 DOI: 10.1007/s13361-017-1818-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2017] [Revised: 08/31/2017] [Accepted: 09/17/2017] [Indexed: 06/07/2023]
Abstract
The recently developed automated, high-throughput monopolar REIMS platform is suited for the identification of clinically important microorganisms. Although already comparable to the previously reported bipolar forceps method, optimization of the geometry of monopolar electrodes, at the heart of the system, holds the most scope for further improvements to be made. For this, sharp tip and round shaped electrodes were optimized to maximize species-level classification accuracy. Following optimization of the distance between the sample contact point and tube inlet with the sharp tip electrodes, the overall cross-validation accuracy improved from 77% to 93% in negative and from 33% to 63% in positive ion detection modes, compared with the original 4 mm distance electrode. As an alternative geometry, round tube shaped electrodes were developed. Geometry optimization of these included hole size, number, and position, which were also required to prevent plate pick-up due to vacuum formation. Additional features, namely a metal "X"-shaped insert and a pin in the middle were included to increase the contact surface with a microbial biomass to maximize aerosol production. Following optimization, cross-validation scores showed improvement in classification accuracy from 77% to 93% in negative and from 33% to 91% in positive ion detection modes. Supervised models were also built, and after the leave 20% out cross-validation, the overall classification accuracy was 98.5% in negative and 99% in positive ion detection modes. This suggests that the new generation of monopolar REIMS electrodes could provide substantially improved species level identification accuracies in both polarity detection modes. Graphical abstract.
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Affiliation(s)
- Zsolt Bodai
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK.
| | - Simon Cameron
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK
| | - Frances Bolt
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK
| | - Daniel Simon
- Waters Research Center, 7 Zahony Street, Budapest, 1031, Hungary
| | - Richard Schaffer
- Waters Research Center, 7 Zahony Street, Budapest, 1031, Hungary
| | - Tamas Karancsi
- Waters Research Center, 7 Zahony Street, Budapest, 1031, Hungary
| | - Julia Balog
- Waters Research Center, 7 Zahony Street, Budapest, 1031, Hungary
| | - Tony Rickards
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK
- Department of Microbiology, Imperial College Healthcare NHS Trust, Charing Cross Hospital, London, W6 8RF, UK
| | - Adam Burke
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK
| | - Kate Hardiman
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK
| | - Julia Abda
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK
| | - Monica Rebec
- Department of Microbiology, Imperial College Healthcare NHS Trust, Charing Cross Hospital, London, W6 8RF, UK
| | - Zoltan Takats
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK
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Luptáková D, Pluháček T, Palyzová A, Přichystal J, Balog J, Lemr K, Juránek I, Havlíček V. Meet interesting abbreviations in clinical mass spectrometry: from compound classification by REIMS to multimodal and mass spectrometry imaging (MSI). Acta Virol 2017; 61:353-360. [PMID: 28854802 DOI: 10.4149/av_2017_316] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
This feature article discusses two modern mass spectrometry abbreviations in their clinical applications. Rapid evaporative ionization mass spectrometry (REIMS) is reported as a molecular classification tool useful for spectral features definition prior to mass spectrometry imaging (MSI). REIMS is appreciated not only as an ionization technique coupled with a surgical device but particularly as a biomarker discovery tool. For more complex understanding of pathological processes at cellular and molecular levels, the importance of multimodal approach in imaging applications is documented in the context of fiducial markers needed for hyperspectral data fusion collected by optical microscopy, elemental and molecular MSI. Finally, pathogen inactivation needed prior to the sectioning of the infected tissue is reported, and the impact of formaldehyde crosslinking to signal reduction is discussed.
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St John ER, Balog J, McKenzie JS, Rossi M, Covington A, Muirhead L, Bodai Z, Rosini F, Speller AVM, Shousha S, Ramakrishnan R, Darzi A, Takats Z, Leff DR. Rapid evaporative ionisation mass spectrometry of electrosurgical vapours for the identification of breast pathology: towards an intelligent knife for breast cancer surgery. Breast Cancer Res 2017; 19:59. [PMID: 28535818 PMCID: PMC5442854 DOI: 10.1186/s13058-017-0845-2] [Citation(s) in RCA: 126] [Impact Index Per Article: 18.0] [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: 12/08/2016] [Accepted: 04/25/2017] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Re-operation for positive resection margins following breast-conserving surgery occurs frequently (average = 20-25%), is cost-inefficient, and leads to physical and psychological morbidity. Current margin assessment techniques are slow and labour intensive. Rapid evaporative ionisation mass spectrometry (REIMS) rapidly identifies dissected tissues by determination of tissue structural lipid profiles through on-line chemical analysis of electrosurgical aerosol toward real-time margin assessment. METHODS Electrosurgical aerosol produced from ex-vivo and in-vivo breast samples was aspirated into a mass spectrometer (MS) using a monopolar hand-piece. Tissue identification results obtained by multivariate statistical analysis of MS data were validated by histopathology. Ex-vivo classification models were constructed from a mass spectral database of normal and tumour breast samples. Univariate and tandem MS analysis of significant peaks was conducted to identify biochemical differences between normal and cancerous tissues. An ex-vivo classification model was used in combination with bespoke recognition software, as an intelligent knife (iKnife), to predict the diagnosis for an ex-vivo validation set. Intraoperative REIMS data were acquired during breast surgery and time-synchronized to operative videos. RESULTS A classification model using histologically validated spectral data acquired from 932 sampling points in normal tissue and 226 in tumour tissue provided 93.4% sensitivity and 94.9% specificity. Tandem MS identified 63 phospholipids and 6 triglyceride species responsible for 24 spectral differences between tissue types. iKnife recognition accuracy with 260 newly acquired fresh and frozen breast tissue specimens (normal n = 161, tumour n = 99) provided sensitivity of 90.9% and specificity of 98.8%. The ex-vivo and intra-operative method produced visually comparable high intensity spectra. iKnife interpretation of intra-operative electrosurgical vapours, including data acquisition and analysis was possible within a mean of 1.80 seconds (SD ±0.40). CONCLUSIONS The REIMS method has been optimised for real-time iKnife analysis of heterogeneous breast tissues based on subtle changes in lipid metabolism, and the results suggest spectral analysis is both accurate and rapid. Proof-of-concept data demonstrate the iKnife method is capable of online intraoperative data collection and analysis. Further validation studies are required to determine the accuracy of intra-operative REIMS for oncological margin assessment.
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Affiliation(s)
- Edward R. St John
- Department of BioSurgery and Surgical Technology, Imperial College London, London, UK
| | - Julia Balog
- Division of Computational and Systems Medicine, Imperial College, London, UK
- Waters Research Centre, Budapest, Hungary
| | - James S. McKenzie
- Division of Computational and Systems Medicine, Imperial College, London, UK
| | - Merja Rossi
- Division of Computational and Systems Medicine, Imperial College, London, UK
| | - April Covington
- Department of BioSurgery and Surgical Technology, Imperial College London, London, UK
| | - Laura Muirhead
- Department of BioSurgery and Surgical Technology, Imperial College London, London, UK
| | - Zsolt Bodai
- Division of Computational and Systems Medicine, Imperial College, London, UK
| | - Francesca Rosini
- Division of Computational and Systems Medicine, Imperial College, London, UK
- Department of Pathology, Imperial College NHS Trust, London, UK
| | - Abigail V. M. Speller
- Division of Computational and Systems Medicine, Imperial College, London, UK
- Department of Pathology, Imperial College NHS Trust, London, UK
| | - Sami Shousha
- Department of Pathology, Imperial College NHS Trust, London, UK
| | | | - Ara Darzi
- Department of BioSurgery and Surgical Technology, Imperial College London, London, UK
| | - Zoltan Takats
- Division of Computational and Systems Medicine, Imperial College, London, UK
- Sir Alexander Fleming Building, South Kensington Campus, Imperial College, London, SW7 2AZ UK
| | - Daniel R. Leff
- Department of BioSurgery and Surgical Technology, Imperial College London, London, UK
- Department of BioSurgery and Surgical Technology, Clinical Senior Lecturer and Consultant Breast Surgeon, St Mary’s Hospital, 10th Floor, QEQM Wing, London, W2 1NY UK
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St John E, Balog J, McKenzie J, White E, Covington A, Bodai Z, Rosini F, Ramakrishnan R, Darzi A, Takats Z, Leff D. Rapid Evaporative Ionisation Mass Spectrometry of surgical vapours towards an intelligent knife for precision breast surgery. Eur J Surg Oncol 2017. [DOI: 10.1016/j.ejso.2017.01.037] [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] Open
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Black C, Chevallier OP, Haughey SA, Balog J, Stead S, Pringle SD, Riina MV, Martucci F, Acutis PL, Morris M, Nikolopoulos DS, Takats Z, Elliott CT. A real time metabolomic profiling approach to detecting fish fraud using rapid evaporative ionisation mass spectrometry. Metabolomics 2017; 13:153. [PMID: 29151824 PMCID: PMC5668337 DOI: 10.1007/s11306-017-1291-y] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Accepted: 10/25/2017] [Indexed: 01/05/2023]
Abstract
INTRODUCTION Fish fraud detection is mainly carried out using a genomic profiling approach requiring long and complex sample preparations and assay running times. Rapid evaporative ionisation mass spectrometry (REIMS) can circumvent these issues without sacrificing a loss in the quality of results. OBJECTIVES To demonstrate that REIMS can be used as a fast profiling technique capable of achieving accurate species identification without the need for any sample preparation. Additionally, we wanted to demonstrate that other aspects of fish fraud other than speciation are detectable using REIMS. METHODS 478 samples of five different white fish species were subjected to REIMS analysis using an electrosurgical knife. Each sample was cut 8-12 times with each one lasting 3-5 s and chemometric models were generated based on the mass range m/z 600-950 of each sample. RESULTS The identification of 99 validation samples provided a 98.99% correct classification in which species identification was obtained near-instantaneously (≈ 2 s) unlike any other form of food fraud analysis. Significant time comparisons between REIMS and polymerase chain reaction (PCR) were observed when analysing 6 mislabelled samples demonstrating how REIMS can be used as a complimentary technique to detect fish fraud. Additionally, we have demonstrated that the catch method of fish products is capable of detection using REIMS, a concept never previously reported. CONCLUSIONS REIMS has been proven to be an innovative technique to help aid the detection of fish fraud and has the potential to be utilised by fisheries to conduct their own quality control (QC) checks for fast accurate results.
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Affiliation(s)
- Connor Black
- 0000 0004 0374 7521grid.4777.3Institute for Global Food Security, Advanced ASSET Centre, School of Biological Sciences, Queen’s University Belfast, 18-30 Malone Road, Belfast, BT9 5BN Northern Ireland, UK
| | - Olivier P. Chevallier
- 0000 0004 0374 7521grid.4777.3Institute for Global Food Security, Advanced ASSET Centre, School of Biological Sciences, Queen’s University Belfast, 18-30 Malone Road, Belfast, BT9 5BN Northern Ireland, UK
| | - Simon A. Haughey
- 0000 0004 0374 7521grid.4777.3Institute for Global Food Security, Advanced ASSET Centre, School of Biological Sciences, Queen’s University Belfast, 18-30 Malone Road, Belfast, BT9 5BN Northern Ireland, UK
| | - Julia Balog
- Waters Research Centre, 7 Zahony Street, Budapest, 1031 Hungary
- 0000 0001 2113 8111grid.7445.2Imperial College London, South Kensington Campus, Sir Alexander Fleming Building, London, SW7 2AZ UK
| | - Sara Stead
- Waters Corporation, Altrincham Road, Wilmslow, SK9 4AX UK
| | | | - Maria V. Riina
- 0000 0004 1759 3180grid.425427.2Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d’Aosta, Via Bologna 148, 10154 Turin, Italy
| | - Francesca Martucci
- 0000 0004 1759 3180grid.425427.2Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d’Aosta, Via Bologna 148, 10154 Turin, Italy
| | - Pier L. Acutis
- 0000 0004 1759 3180grid.425427.2Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d’Aosta, Via Bologna 148, 10154 Turin, Italy
| | - Mike Morris
- Waters Corporation, Altrincham Road, Wilmslow, SK9 4AX UK
| | - Dimitrios S. Nikolopoulos
- 0000 0004 0374 7521grid.4777.3School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, UK
| | - Zoltan Takats
- 0000 0001 2113 8111grid.7445.2Imperial College London, South Kensington Campus, Sir Alexander Fleming Building, London, SW7 2AZ UK
| | - Christopher T. Elliott
- 0000 0004 0374 7521grid.4777.3Institute for Global Food Security, Advanced ASSET Centre, School of Biological Sciences, Queen’s University Belfast, 18-30 Malone Road, Belfast, BT9 5BN Northern Ireland, UK
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Vaqas B, White E, Hui-Yu H, Balog J, Galea D, Takats Z, O’Neill K. SURG-31. INTRAOPERATIVE MOLECULAR DIAGNOSIS AND SURGICAL GUIDANCE USING iKNIFE REAL-TIME MASS SPECTROMETRY. Neuro Oncol 2016. [DOI: 10.1093/neuonc/now212.831] [Citation(s) in RCA: 2] [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: 11/14/2022] Open
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Goossens R, Balog J, Lemmers J, van den Boogaard M, van der Vliet P, Donlin-Smith C, Nations S, Kriek M, Ruivenkamp C, Heard P, Bakker B, Tapscott S, Cody J, Tawil R, van der Maarel S. Monosomy 18p: Risks for developing FSHD. Neuromuscul Disord 2016. [DOI: 10.1016/j.nmd.2016.06.295] [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: 11/16/2022]
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Bolt F, Cameron SJS, Karancsi T, Simon D, Schaffer R, Rickards T, Hardiman K, Burke A, Bodai Z, Perdones-Montero A, Rebec M, Balog J, Takats Z. Automated High-Throughput Identification and Characterization of Clinically Important Bacteria and Fungi using Rapid Evaporative Ionization Mass Spectrometry. Anal Chem 2016; 88:9419-9426. [DOI: 10.1021/acs.analchem.6b01016] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [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)
- Frances Bolt
- Section
of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, United Kingdom
| | - Simon J. S. Cameron
- Section
of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, United Kingdom
| | - Tamas Karancsi
- Waters Research
Centre, 7 Zahony Street, Budapest, 1031, Hungary
| | - Daniel Simon
- Waters Research
Centre, 7 Zahony Street, Budapest, 1031, Hungary
| | - Richard Schaffer
- Waters Research
Centre, 7 Zahony Street, Budapest, 1031, Hungary
| | - Tony Rickards
- Department
of Microbiology, Imperial College Healthcare NHS Trust, Charing Cross
Hospital, London W6 8RF, United Kingdom
| | - Kate Hardiman
- Section
of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, United Kingdom
| | - Adam Burke
- Section
of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, United Kingdom
| | - Zsolt Bodai
- Section
of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, United Kingdom
| | - Alvaro Perdones-Montero
- Section
of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, United Kingdom
| | - Monica Rebec
- Department
of Microbiology, Imperial College Healthcare NHS Trust, Charing Cross
Hospital, London W6 8RF, United Kingdom
| | - Julia Balog
- Waters Research
Centre, 7 Zahony Street, Budapest, 1031, Hungary
| | - Zoltan Takats
- Section
of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, United Kingdom
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Balog J, Perenyi D, Guallar-Hoyas C, Egri A, Pringle SD, Stead S, Chevallier OP, Elliott CT, Takats Z. Identification of the Species of Origin for Meat Products by Rapid Evaporative Ionization Mass Spectrometry. J Agric Food Chem 2016; 64:4793-4800. [PMID: 27167240 DOI: 10.1021/acs.jafc.6b01041] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Increasingly abundant food fraud cases have brought food authenticity and safety into major focus. This study presents a fast and effective way to identify meat products using rapid evaporative ionization mass spectrometry (REIMS). The experimental setup was demonstrated to be able to record a mass spectrometric profile of meat specimens in a time frame of <5 s. A multivariate statistical algorithm was developed and successfully tested for the identification of animal tissue with different anatomical origin, breed, and species with 100% accuracy at species and 97% accuracy at breed level. Detection of the presence of meat originating from a different species (horse, cattle, and venison) has also been demonstrated with high accuracy using mixed patties with a 5% detection limit. REIMS technology was found to be a promising tool in food safety applications providing a reliable and simple method for the rapid characterization of food products.
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Affiliation(s)
- Julia Balog
- Imperial College London , South Kensington Campus, Sir Alexander Fleming Building, SW7 2AZ London, United Kingdom
- Waters Research Center , 7 Zahony Street, Budapest 1031, Hungary
| | - Dora Perenyi
- Imperial College London , South Kensington Campus, Sir Alexander Fleming Building, SW7 2AZ London, United Kingdom
| | - Cristina Guallar-Hoyas
- Imperial College London , South Kensington Campus, Sir Alexander Fleming Building, SW7 2AZ London, United Kingdom
| | - Attila Egri
- Waters Research Center , 7 Zahony Street, Budapest 1031, Hungary
| | - Steven D Pringle
- Waters Corporation , Altricham Road, SK9 4AX Wilmslow, United Kingdom
| | - Sara Stead
- Waters Corporation , Altricham Road, SK9 4AX Wilmslow, United Kingdom
| | - Olivier P Chevallier
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast , 18-30 Malone Road, BT9 5BN Belfast, Northern Ireland, United Kingdom
| | - Chris T Elliott
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast , 18-30 Malone Road, BT9 5BN Belfast, Northern Ireland, United Kingdom
| | - Zoltan Takats
- Imperial College London , South Kensington Campus, Sir Alexander Fleming Building, SW7 2AZ London, United Kingdom
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St John E, Rossi M, Balog J, McKenzie J, Muirhead L, Speller A, Gildea L, Veselkov K, Shousha S, Ramakrishnan R, Takats Z, Darzi A, Leff D. Real time intraoperative classification of breast tissue with the intelligent knife. Eur J Surg Oncol 2016. [DOI: 10.1016/j.ejso.2016.02.102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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St John ER, Al-Khudairi R, Balog J, Rossi M, Gildea L, Speller A, Ramakrishnan R, Shousha S, Takats Z, Leff DR, Darzi A. Abstract P2-12-20: Rapid evaporative ionisation mass spectrometry towards real time intraoperative oncological margin status determination in breast conserving surgery. Cancer Res 2016. [DOI: 10.1158/1538-7445.sabcs15-p2-12-20] [Citation(s) in RCA: 4] [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] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Positive tumour margins following attempted breast conserving surgery (BCS) is an important risk factor for local recurrence. Nationally in the United Kingdom on average approximately 25% of patients undergoing BCS require additional surgery for positive margins. Traditional techniques such as specimen xray, frozen section & imprint cytology to optimise margin clearance have significant limitations. Various research methods under investigation include optical spectroscopy, high resolution imaging and radiofrequency spectroscopy. Rapid Evaporative Ionisation Mass Spectrometry (REIMS) is a new method that uses mass spectrometric analysis of the tissue specific ionic content of the surgical diathermy smoke plume for the rapid identification of dissected breast tissues as an intelligent knife (iKnife). We investigate the ability of the "iKnife" to analyze heterogeneous breast tissue intraoperatively using mass spectrometric techniques.
Method: The study involved three stages that comprised: method development, tissue specific ex-vivo database construction and intraoperative analysis. Smoke aerosol produced as a result of electrosurgical diathermy from a variety of frozen, fresh and in-vivo breast samples were aspirated into a mass spectrometer via a modified surgical handpiece. Tissue diagnosis was confirmed by subsequent histopathological validation. The data underwent computational analysis using multivariate statistics –predominantly Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), along with leave one patient out cross-validation. A total of 128 patients (n=40 method development, n=66 ex-vivo database, n=22 intraoperative analysis) undergoing breast surgery were enrolled in this study. Ethical approval was obtained from the Research Ethics Committee.
Results: 40 patients contributed breast samples (normal and cancerous) for method optimisation to enable analysis of high intensity spectra from heterogeneous breast tissue. Following optimisation an ex-vivo database was constructed from 89 excised fresh breast tissue samples from 66 patients using 330 spectra (246 Normal, 60 Tumour – IDC, ILC, IMC and 24 Benign - fibroadenoma). Multivariate statistical analysis of data revealed classification of tumour compared to normal tissue with sensitivities of 93.0% and specificity of 91.9%. The iKnife was used intraoperatively during the entire operation of 25 surgeries. Spectral data was obtained within 1-2 seconds. Specific margin analysis correctly identified negative margins in 10 cases.
Conclusions: The iKnife has been successfully developed for analysis of intraoperative heterogeneous breast tissue. Preliminary data suggests that this technique is suitable with high accuracy for the separation of normal, benign (fibroadenoma) and cancerous (invasive ductal and invasive lobular carcinoma) breast tissues. In comparison to the normal breast, cancerous tissues exhibit statistically different spectral profiles. Further work is aimed at the development of a real time algorithm able to match intraoperative data with the pre-existing database for the rapid interpretation and real time feedback of intraoperative data towards detecting positive margins intraoperatively.
Citation Format: St John ER, Al-Khudairi R, Balog J, Rossi M, Gildea L, Speller A, Ramakrishnan R, Shousha S, Takats Z, Leff DR, Darzi A. Rapid evaporative ionisation mass spectrometry towards real time intraoperative oncological margin status determination in breast conserving surgery. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P2-12-20.
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Affiliation(s)
- ER St John
- Imperial College, London, United Kingdom; Imperial College Healthcare NHS Trust, London, United Kingdom
| | - R Al-Khudairi
- Imperial College, London, United Kingdom; Imperial College Healthcare NHS Trust, London, United Kingdom
| | - J Balog
- Imperial College, London, United Kingdom; Imperial College Healthcare NHS Trust, London, United Kingdom
| | - M Rossi
- Imperial College, London, United Kingdom; Imperial College Healthcare NHS Trust, London, United Kingdom
| | - L Gildea
- Imperial College, London, United Kingdom; Imperial College Healthcare NHS Trust, London, United Kingdom
| | - A Speller
- Imperial College, London, United Kingdom; Imperial College Healthcare NHS Trust, London, United Kingdom
| | - R Ramakrishnan
- Imperial College, London, United Kingdom; Imperial College Healthcare NHS Trust, London, United Kingdom
| | - S Shousha
- Imperial College, London, United Kingdom; Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Z Takats
- Imperial College, London, United Kingdom; Imperial College Healthcare NHS Trust, London, United Kingdom
| | - DR Leff
- Imperial College, London, United Kingdom; Imperial College Healthcare NHS Trust, London, United Kingdom
| | - A Darzi
- Imperial College, London, United Kingdom; Imperial College Healthcare NHS Trust, London, United Kingdom
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Vaqas B, Short M, Balog J, Zeng H, Takats Z, O'Neill K. SURG-28NEUROSURGICAL INTRAOPERATIVE SPECTROSCOPY: TOWARDS REAL-TIME CNS TUMOUR BIOPSIES. Neuro Oncol 2015. [DOI: 10.1093/neuonc/nov235.28] [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: 11/12/2022] Open
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Balog J, Kumar S, Alexander J, Golf O, Huang J, Wiggins T, Abbassi-Ghadi N, Enyedi A, Kacska S, Kinross J, Hanna GB, Nicholson JK, Takats Z. In Vivo Endoscopic Tissue Identification by Rapid Evaporative Ionization Mass Spectrometry (REIMS). Angew Chem Int Ed Engl 2015. [DOI: 10.1002/ange.201502770] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Balog J, Kumar S, Alexander J, Golf O, Huang J, Wiggins T, Abbassi-Ghadi N, Enyedi A, Kacska S, Kinross J, Hanna GB, Nicholson JK, Takats Z. In vivo endoscopic tissue identification by rapid evaporative ionization mass spectrometry (REIMS). Angew Chem Int Ed Engl 2015; 54:11059-62. [PMID: 26248566 DOI: 10.1002/anie.201502770] [Citation(s) in RCA: 88] [Impact Index Per Article: 9.8] [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: 03/25/2015] [Revised: 05/20/2015] [Indexed: 11/09/2022]
Abstract
Gastrointestinal cancers are a leading cause of mortality, accounting for 23 % of cancer-related deaths worldwide. In order to improve outcomes from these cancers, novel tissue characterization methods are needed to facilitate accurate diagnosis. Rapid evaporative ionization mass spectrometry (REIMS) is a technique developed for the in vivo classification of human tissue through mass spectrometric analysis of aerosols released during electrosurgical dissection. This ionization technique was further developed by utilizing surface induced dissociation and was integrated with an endoscopic polypectomy snare to allow in vivo analysis of the gastrointestinal tract. We tested the classification performance of this novel endoscopic REIMS method in vivo. It was shown to be capable of differentiating between healthy layers of the intestinal wall, cancer, and adenomatous polyps based on the REIMS fingerprint of each tissue type in vivo.
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Affiliation(s)
- Julia Balog
- Computational and Systems Medicine, Imperial College London, South Kensington Campus, London SW7 2AZ (UK)
| | - Sacheen Kumar
- Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, QEQM 10th floor, London W2 1NY (UK)
| | - James Alexander
- Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, QEQM 10th floor, London W2 1NY (UK)
| | - Ottmar Golf
- Computational and Systems Medicine, Imperial College London, South Kensington Campus, London SW7 2AZ (UK)
| | - Juzheng Huang
- Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, QEQM 10th floor, London W2 1NY (UK)
| | - Tom Wiggins
- Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, QEQM 10th floor, London W2 1NY (UK)
| | - Nima Abbassi-Ghadi
- Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, QEQM 10th floor, London W2 1NY (UK)
| | - Attila Enyedi
- Institute of Surgery, University of Debrecen, Moricz Zsigmond krt. 22, Debrecen 4032 (Hungary)
| | - Sandor Kacska
- Gastroenterology Clinic, University of Debrecen, Nagyerdei krt. 98., Debrecen 4032 (Hungary)
| | - James Kinross
- Computational and Systems Medicine, Imperial College London, South Kensington Campus, London SW7 2AZ (UK)
| | - George B Hanna
- Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, QEQM 10th floor, London W2 1NY (UK)
| | - Jeremy K Nicholson
- Computational and Systems Medicine, Imperial College London, South Kensington Campus, London SW7 2AZ (UK)
| | - Zoltan Takats
- Computational and Systems Medicine, Imperial College London, South Kensington Campus, London SW7 2AZ (UK).
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St John E, Balog J, Muirhead L, Speller A, Jones E, Ramakrishnan R, Darzi A, Takats Z, Leff D. 11. Intra-operative Rapid Evaporative Ionisation Mass Spectrometry: A future intelligent knife (iKnife) for oncological margin control? Eur J Surg Oncol 2015. [DOI: 10.1016/j.ejso.2015.03.012] [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: 10/23/2022] Open
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van den Boogaard T, Lemmers R, Camano P, van der Vliet P, Balog J, Voermans N, Tapscott S, de Munain A, Tawil R, Bakker B, Maarel S. G.O.4. Neuromuscul Disord 2014. [DOI: 10.1016/j.nmd.2014.06.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [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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Strittmatter N, Rebec M, Jones EA, Golf O, Abdolrasouli A, Balog J, Behrends V, Veselkov KA, Takats Z. Characterization and Identification of Clinically Relevant Microorganisms Using Rapid Evaporative Ionization Mass Spectrometry. Anal Chem 2014; 86:6555-62. [DOI: 10.1021/ac501075f] [Citation(s) in RCA: 76] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Nicole Strittmatter
- Section of Computational
and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, United Kingdom
| | - Monica Rebec
- Department
of Microbiology, Imperial College Healthcare NHS Trust, Charing Cross Hospital, London W6 8RF, United Kingdom
| | - Emrys A. Jones
- Section of Computational
and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, United Kingdom
| | - Ottmar Golf
- Section of Computational
and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, United Kingdom
| | - Alireza Abdolrasouli
- Department
of Microbiology, Imperial College Healthcare NHS Trust, Charing Cross Hospital, London W6 8RF, United Kingdom
| | - Julia Balog
- Section of Computational
and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, United Kingdom
| | - Volker Behrends
- Section of Computational
and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, United Kingdom
| | - Kirill A. Veselkov
- Section of Computational
and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, United Kingdom
| | - Zoltan Takats
- Section of Computational
and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, United Kingdom
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Enyedi A, Csongor V, Szabo K, Takacs I, Sasi Szabo L, Vegh T, Toth L, Balog J, Takats Z. F-041 * REAL-TIME DETECTION OF METASTASES IN LYMPH NODES DURING THORACIC SURGERY. Interact Cardiovasc Thorac Surg 2014. [DOI: 10.1093/icvts/ivu167.41] [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: 11/14/2022] Open
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Enyedi A, Takacs I, Váradi C, Veres L, Szabo K, Végh T, Balog J, Takáts Z. F-038REAL-TIME, IN-VIVO TISSUE IDENTIFICATION DURING THORACIC SURGERY. Interact Cardiovasc Thorac Surg 2013. [DOI: 10.1093/icvts/ivt288.38] [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: 11/14/2022] Open
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Jain M, Vélez JI, Acosta MT, Palacio LG, Balog J, Roessler E, Pineda D, Londoño AC, Palacio JD, Arbelaez A, Lopera F, Elia J, Hakonarson H, Seitz C, Freitag CM, Palmason H, Meyer J, Romanos M, Walitza S, Hemminger U, Warnke A, Romanos J, Renner T, Jacob C, Lesch KP, Swanson J, Castellanos FX, Bailey-Wilson JE, Arcos-Burgos M, Muenke M. A cooperative interaction between LPHN3 and 11q doubles the risk for ADHD. Mol Psychiatry 2012; 17:741-7. [PMID: 21606926 PMCID: PMC3382263 DOI: 10.1038/mp.2011.59] [Citation(s) in RCA: 44] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
In previous studies of a genetic isolate, we identified significant linkage of attention deficit hyperactivity disorder (ADHD) to 4q, 5q, 8q, 11q and 17p. The existence of unique large size families linked to multiple regions, and the fact that these families came from an isolated population, we hypothesized that two-locus interaction contributions to ADHD were plausible. Several analytical models converged to show significant interaction between 4q and 11q (P<1 × 10(-8)) and 11q and 17p (P<1 × 10(-6)). As we have identified that common variants of the LPHN3 gene were responsible for the 4q linkage signal, we focused on 4q-11q interaction to determine that single-nucleotide polymorphisms (SNPs) harbored in the LPHN3 gene interact with SNPs spanning the 11q region that contains DRD2 and NCAM1 genes, to double the risk of developing ADHD. This interaction not only explains genetic effects much better than taking each of these loci effects by separated but also differences in brain metabolism as depicted by proton magnetic resonance spectroscopy data and pharmacogenetic response to stimulant medication. These findings not only add information about how high order genetic interactions might be implicated in conferring susceptibility to develop ADHD but also show that future studies of the effects of genetic interactions on ADHD clinical information will help to shape predictive models of individual outcome.
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Affiliation(s)
- M Jain
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - J I Vélez
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - M T Acosta
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - L G Palacio
- Neurosciences Group, University of Antioquia, Medellín, Colombia
| | - J Balog
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - E Roessler
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - D Pineda
- Neurosciences Group, University of Antioquia, Medellín, Colombia
| | - A C Londoño
- Neurosciences Group, University of Antioquia, Medellín, Colombia
| | - J D Palacio
- Neurosciences Group, University of Antioquia, Medellín, Colombia
| | - A Arbelaez
- Neurosciences Group, University of Antioquia, Medellín, Colombia
| | - F Lopera
- Neurosciences Group, University of Antioquia, Medellín, Colombia
| | - J Elia
- The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - H Hakonarson
- The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - C Seitz
- Department of Child and Adolescent Psychiatry, Saarland University Hospital, Homburg, Saar, Germany
| | - C M Freitag
- Department of Child and Adolescent Psychiatry, Saarland University Hospital, Homburg, Saar, Germany
| | - H Palmason
- Graduate School for Psychobiology, Division of Neuro-Behavioral Genetics, University of Trier, Trier, Germany
| | - J Meyer
- Graduate School for Psychobiology, Division of Neuro-Behavioral Genetics, University of Trier, Trier, Germany
| | - M Romanos
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - S Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - U Hemminger
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - A Warnke
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - J Romanos
- Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - T Renner
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany,Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany,Molecular and Psychobiology, University of Würzburg, Würzburg, Germany
| | - C Jacob
- Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - K-P Lesch
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany,Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany,Molecular and Psychobiology, University of Würzburg, Würzburg, Germany
| | - J Swanson
- UCI Child Development Center, University of California, Irvine, CA, USA
| | | | - J E Bailey-Wilson
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - M Arcos-Burgos
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA,Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Building 35, Room 1B-209, Bethesda, MD 20892-3717, USA. E-mails: and
| | - M Muenke
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA,Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Building 35, Room 1B-209, Bethesda, MD 20892-3717, USA. E-mails: and
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Gerbig S, Golf O, Balog J, Denes J, Baranyai Z, Zarand A, Raso E, Timar J, Takats Z. Analysis of colorectal adenocarcinoma tissue by desorption electrospray ionization mass spectrometric imaging. Anal Bioanal Chem 2012; 403:2315-25. [PMID: 22447214 DOI: 10.1007/s00216-012-5841-x] [Citation(s) in RCA: 78] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2011] [Revised: 02/01/2012] [Accepted: 02/03/2012] [Indexed: 12/31/2022]
Abstract
Negative ion desorption electrospray ionization (DESI) was used for the analysis of an ex vivo tissue sample set comprising primary colorectal adenocarcinoma samples and colorectal adenocarcinoma liver metastasis samples. Frozen sections (12 μm thick) were analyzed by means of DESI imaging mass spectrometry (IMS) with spatial resolution of 100 μm using a computer-controlled DESI imaging stage mounted on a high resolution Orbitrap mass spectrometer. DESI-IMS data were found to predominantly feature complex lipids, including phosphatidyl-inositols, phophatidyl-ethanolamines, phosphatidyl-serines, phosphatidyl-ethanolamine plasmalogens, phosphatidic acids, phosphatidyl-glycerols, ceramides, sphingolipids, and sulfatides among others. Molecular constituents were identified based on their exact mass and MS/MS fragmentation spectra. An identified set of molecules was found to be in good agreement with previously reported DESI imaging data. Different histological tissue types were found to yield characteristic mass spectrometric data in each individual section. Histological features were identified by comparison to hematoxylin-eosin stained neighboring sections. Ions specific to certain histological tissue types (connective tissue, smooth muscle, healthy mucosa, healthy liver parenchyma, and adenocarcinoma) were identified by semi-automated screening of data. While each section featured a number of tissue-specific species, no potential global biomarker was found in the full sample set for any of the tissue types. As an alternative approach, data were analyzed by principal component analysis (PCA) and linear discriminant analysis (LDA) which resulted in efficient separation of data points based on their histological types. A pixel-by-pixel tissue identification method was developed, featuring the PCA/LDA analysis of authentic data set, and localization of unknowns in the resulting 60D, histologically assigned LDA space. Novel approach was found to yield results which are in 95% agreement with the results of classical histology. KRAS mutation status was determined for each sample by standard molecular biology methods and a similar PCA/LDA approach was developed to assess the feasibility of the determination of this important parameter using solely DESI imaging data. Results showed that the mutant and wild-type samples fully separated. DESI-MS and molecular biology results were in agreement in 90% of the cases.
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Affiliation(s)
- Stefanie Gerbig
- Institute for Inorganic and Analytical Chemistry, Justus-Liebig-University, Giessen, Germany
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Langen K, Papanikolaou N, Balog J, Crilly R, Followill D, Goddu S, Grant W, Olivera G, Ramsey C, Shi C. WE-B-BRA-02: QA of Helical Tomotherapy TG-148. Med Phys 2011. [DOI: 10.1118/1.3613301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Balog J, Szaniszlo T, Schaefer KC, Denes J, Lopata A, Godorhazy L, Szalay D, Balogh L, Sasi-Szabo L, Toth M, Takats Z. Identification of biological tissues by rapid evaporative ionization mass spectrometry. Anal Chem 2011; 82:7343-50. [PMID: 20681559 DOI: 10.1021/ac101283x] [Citation(s) in RCA: 154] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The newly developed rapid evaporative ionization mass spectrometry (REIMS) provides the possibility of in vivo, in situ mass spectrometric tissue analysis. The experimental setup for REIMS is characterized in detail for the first time, and the description and testing of an equipment capable of in vivo analysis is presented. The spectra obtained by various standard surgical equipments were compared and found highly specific to the histological type of the tissues. The tissue analysis is based on their different phospholipid distribution; the identification algorithm uses a combination of principal component analysis (PCA) and linear discriminant analysis (LDA). The characterized method was proven to be sensitive for any perturbation such as age or diet in rats, but it was still perfectly suitable for tissue identification. Tissue identification accuracy higher than 97% was achieved with the PCA/LDA algorithm using a spectral database collected from various tissue species. In vivo, ex vivo, and post mortem REIMS studies were performed, and the method was found to be applicable for histological tissue analysis during surgical interventions, endoscopy, or after surgery in pathology.
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Langen K, Papanikolaou N, Balog J, Crilly R, Followill D, Goddu S, Grant W, Olivera G, Ramsey C, Shi C. TU-B-203-02: QA of Radiation Delivery Systems. Med Phys 2010. [DOI: 10.1118/1.3469183] [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: 11/07/2022] Open
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Pikó H, Vancsó V, Nagy B, Balog J, Nagymihály M, Herczegfalvi A, Tímár L, Bán Z, Karcagi V. Muscular dystrophies: diagnostic approaches in Hungary. Acta Physiol Hung 2008; 95:405-18. [PMID: 19009915 DOI: 10.1556/aphysiol.95.2008.4.7] [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] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Muscular dystrophies are a genetically heterogeneous group of degenerative muscle disorders. This article focuses on two severe forms of muscular dystrophies and provides genetic data for a large cohort of Hungarian patients diagnosed within the last few years by the authors. The Duchenne/Becker muscular dystrophy (DMD/BMD) is caused by mutations in the dystrophin gene, which is located on chromosome Xp21. The genetic analysis of dystrophin is usually performed by multiplex polymerase chain reaction (PCR), which detects approximately 95% of all deletions but does not distinguish between one and two copies of the exons investigated. The present work, therefore, concentrates on the improvement of the diagnostic panel for the analysis of DMD/BMD in Hungary. Radioactively labelled cDNA probes, encompassing the whole dystrophin gene detect all the deletions and the analysis is quantitative. In addition, the new multiple ligation-dependent probe amplification (MLPA) technique was recently introduced that enabled more reliable and faster quantitative detection of the entire dystrophin gene. The genomic basis of facioscapulohumeral muscular dystrophy (FSHD) is associated with contraction of the D4Z4 repeat region in the subtelomere of chromosome 4q. In case of FSHD, molecular genetic criteria still have to be improved because of the complexity of the disorder.
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Affiliation(s)
- H Pikó
- Department of Molecular Genetics and Diagnostics, National Institute of Environmental Health, Gyáli út 2-6, H-1096 Budapest, Hungary.
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Huff G, Huff W, Rath N, Balog J, Anthony NB, Nestor K. Stress-induced colibacillosis and turkey osteomyelitis complex in turkeys selected for increased body weight. Poult Sci 2006; 85:266-72. [PMID: 16523626 DOI: 10.1093/ps/85.2.266] [Citation(s) in RCA: 24] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Two stress models were used to induce colibacillosis and turkey osteomyelitis complex (TOC): Escherichia coli challenge following dexamethasone injection (Dex) and E. coli challenge preceding transport stress (Transport). A total of 160 birds from 3 lines of turkeys: a slow-growing line selected for egg production (Egg), a line selected for 16-wk BW (F line), and a Commercial line (Comm), were studied in a 3 x 3 x 2 (line x treatment x sex) factorial design. At 14 wk, the Dex group was treated with 3 injections of 2 mg of Dex/kg of BW followed by airsac challenge with 100 cfu of E. coli. The Transport group was given 5,000 cfu of the same E. coli and 8 d later was transported for 3 h and held for an additional 9 h in the transport vehicle. Controls of each line were neither stressed nor challenged with E. coli. Birds were necropsied 2 wk postchallenge. All birds were sexed, scored for airsacculitis (AS) and TOC, and knee synovia were cultured for E. coli. Percent mortality was unaffected by sex, was increased by the Dex treatment, and was higher in Dex-treated male Comm-line birds and Dex-treated female F-line birds compared with their respective nonchallenged controls. Both treatments increased AS scores, and scores of Dex-treated male Comm-line birds and female F-line birds were also higher compared with their respective controls. Male Comm birds under Transport had higher AS scores as compared with nonchallenged males and challenged females. The TOC incidence was increased by Dex only. There was no TOC in Egg-line birds, whereas TOC incidence approached significance in both Comm and F lines compared with the Egg line (P = 0.06). Males had twice as much TOC as females, and this approached significance in the F line (P = 0.06). There was a low level of TOC in male Transport birds of both large-bodied lines, whereas no female Transport birds had TOC lesions. Dex-treated male birds of both the F line and Comm line had significantly higher incidence of TOC compared with their respective nonchallenged controls. The challenge strain of E. coli was isolated from more knee cultures of both large lines compared with the Egg line. Isolation was increased by Dex and was higher in male Comm-line birds and both male and female F-line birds relative to their controls. The difference in disease resistance between these lines suggests that selection for fast growth of turkeys may affect the stress response, resulting in increased chronic bacterial disease such as TOC.
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Affiliation(s)
- G Huff
- USDA, Agricultural Research Service, Poultry Production and Product Safety Research Unit, Poultry Science Center, University of Arkansas, Fayetteville 72701, USA.
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Olivera G, Ruchala K, Kapatoes J, Reckwerdt P, Jeraj R, Lu W, Balog J, Mackie T. Approaches to prostate patient setup including daily anatomy changes. Int J Radiat Oncol Biol Phys 2001. [DOI: 10.1016/s0360-3016(01)02533-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Kapatoes J, Olivera G, Lu W, Reckwerdt P, Keller H, Balog J, Mackie T. Dose gradients as a tool in the optimization and verification of intensity modulated radiation therapy (IMRT). Int J Radiat Oncol Biol Phys 2000. [DOI: 10.1016/s0360-3016(00)80074-7] [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: 10/27/2022]
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Petrylak DP, Macarthur RB, O'Connor J, Shelton G, Judge T, Balog J, Pfaff C, Bagiella E, Heitjan D, Fine R, Zuech N, Sawczuk I, Benson M, Olsson CA. Phase I trial of docetaxel with estramustine in androgen-independent prostate cancer. J Clin Oncol 1999; 17:958-67. [PMID: 10071290 DOI: 10.1200/jco.1999.17.3.958] [Citation(s) in RCA: 239] [Impact Index Per Article: 9.6] [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] [Indexed: 11/20/2022] Open
Abstract
PURPOSE To evaluate the toxicity, efficacy, and pharmacokinetics of docetaxel when combined with oral estramustine and dexamethasone in a phase I study in patients with progressive metastatic androgen-independent prostate cancer. PATIENTS AND METHODS Thirty-four men were stratified into minimally pretreated (MPT) and extensively pretreated (EPT) groups. Estramustine 280 mg PO tid was administered 1 hour before or 2 hours after meals on days 1 through 5, with escalated doses of docetaxel from 40 to 80 mg/m2 on day 2. Treatment was repeated every 21 days. RESULTS Thirty-four patients were assessable for toxicity and 33 for response. In the MPT patients, dose-limiting myelosuppression was reached at 80 mg/m2, with six patients experiencing grade 3/4 granulocytopenia. In EPT patients, escalation above 70 mg/m2 was not attempted. Fourteen MPT (70%) and six EPT (50%) patients had a > or = 50% decline in serum PSA on two consecutive measurements taken at least 2 weeks apart. The overall 50% PSA response rate was 63% (95% confidence interval [CI], 28% to 81%). Of the 18 patients with bidimensionally measurable disease, five (28%; 95% CI, 11% to 54%) achieved a partial response. At the time of entry onto the study, 15 patients required narcotic analgesics for bone pain; after treatment, eight (53%) discontinued their pain medications. The area under the curve for docetaxel increased linearly from 40 to 70 mg/m2. At 80 mg/m2, the measured area under the curve was 8.37 (standard deviation, 0.724), which was significantly higher than the previously reported values. CONCLUSION The recommended phase II dose of docetaxel combined with estramustine is 70 mg/m2 in MPT patients and 60 mg/m2 in EPT patients. This combination is active in men with androgen-independent prostate cancer.
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Affiliation(s)
- D P Petrylak
- Department of Medicine, Columbia Presbyterian Medical Center, New York, NY 10032, USA.
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Fitchard EE, Aldridge JS, Ruchala K, Fang G, Balog J, Pearson DW, Olivera GH, Schloesser EA, Wenman D, Reckwerdt PJ, Mackie TR. Registration using tomographic projection files. Phys Med Biol 1999; 44:495-507. [PMID: 10070797 DOI: 10.1088/0031-9155/44/2/015] [Citation(s) in RCA: 20] [Impact Index Per Article: 0.8] [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] [Indexed: 11/11/2022]
Abstract
An algorithm has been developed and experimentally verified for tomographic registration--a patient positioning method using internal anatomy and standard external fiducial marks. This algorithm improves patient set-up and verification to an accuracy sufficient for tomotherapy. By implementation of this technique, the time-consuming reconstruction process is avoided. Instead, offsets in the x, y and z directions are determined directly from sinogram data by an algorithm that utilizes cross-correlations and Fourier transforms. To verify the efficiency and stability of the algorithm, data were collected on the University of Wisconsin's dedicated tomotherapy research workbench. The experiment indicates offset statistical errors of less than +/-0.8 mm for offsets up to 30 mm. With standard clinical techniques, initial patient offsets are expected to be less than 5 mm, so the 30 mm limitation is of no consequence. The angular resolution for the direction of patient translation is within the +/-2 degrees needed for tomotherapy.
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Affiliation(s)
- E E Fitchard
- Department of Medical Physics, University of Wisconsin-Madison, 53706, USA
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Abstract
Tomotherapy is delivery of intensity-modulated, rotational radiation therapy using a fan-beam delivery. The NOMOS (Sewickley, PA) Peacock system is an example of sequential (or serial) tomotherapy that uses a fast-moving, actuator-driven multileaf collimator attached to a conventional C-arm gantry to modulate the beam intensity. In helical tomotherapy, the patient is continuously translated through a ring gantry as the fan beam rotates. The beam delivery geometry is similar to that of helical computed tomography (CT) and requires the use of slip rings to transmit power and data. A ring gantry provides a stable and accurate platform to perform tomographic verification using an unmodulated megavoltage beam. Moreover, megavoltage tomograms have adequate tissue contrast and resolution to provide setup verification. Assuming only translational and rotational offset errors, it is also possible to determine the offsets directly from tomographic projections, avoiding the time-consuming image reconstruction operation. The offsets can be used to modify the leaf delivery pattern to match the beam to the patient's anatomy on each day of a course of treatment. If tomographic representations of the patient are generated, this information can also be used to perform dose reconstruction. In this way, the actual dose distribution delivered can be superimposed onto the tomographic representation of the patient obtained at the time of treatment. The results can be compared with the planned isodose on the planning CT. This comparison may be used as an accurate basis for adaptive radiotherapy whereby the optimized delivery is modified before subsequent fractions. The verification afforded tomotherapy allows more precise conformal therapy. It also enables conformal avoidance radiotherapy, the complement to conformal therapy, for cases in which the tumor volume is ill-defined, but the locations of sensitive structures are adequately determined. A clinical tomotherapy unit is under construction at the University of Wisconsin.
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Affiliation(s)
- T R Mackie
- University of Wisconsin Medical School, Madison, WI 53706, USA
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Balázs LK, Balog J, Forgács P, Mohammedi N, Palla L, Schnittger J. Quantum equivalence ofσmodels related by non-Abelian duality transformations. Int J Clin Exp Med 1998. [DOI: 10.1103/physrevd.57.3585] [Citation(s) in RCA: 15] [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: 11/07/2022]
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Meskiene I, Bögre L, Glaser W, Balog J, Brandstötter M, Zwerger K, Ammerer G, Hirt H. MP2C, a plant protein phosphatase 2C, functions as a negative regulator of mitogen-activated protein kinase pathways in yeast and plants. Proc Natl Acad Sci U S A 1998; 95:1938-43. [PMID: 9465121 PMCID: PMC19217 DOI: 10.1073/pnas.95.4.1938] [Citation(s) in RCA: 135] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
By interference of the yeast pheromone mitogen-activated protein kinase (MAPK) pathway with an alfalfa cDNA expression library, we have isolated the MP2C gene encoding a functional protein phosphatase type 2C. Epistasis analysis in yeast indicated that the molecular target of the MP2C phosphatase is Ste11, a MAPK kinase kinase that is a central regulator of the pheromone and osmosensing pathways. In plants, MP2C functions as a negative regulator of the stress-activated MAPK (SAMK) pathway that is activated by cold, drought, touch, and wounding. Although activation of the SAMK pathway occurs by a posttranslational mechanism, de novo transcription and translation of protein factor(s) are necessary for its inactivation. MP2C is likely to be this or one of these factors, because wound-induced activation of SAMK is followed by MP2C gene expression and recombinant glutathione S-transferase-MP2C is able to inactivate extracts containing wound-induced SAMK. Wound-induced MP2C expression is a transient event and correlates with the refractory period, i.e., the time when restimulation of the SAMK pathway is not possible by a second stimulation. These data suggest that MP2C is part of a negative feedback mechanism that is responsible for resetting the SAMK cascade in plants.
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Affiliation(s)
- I Meskiene
- Institute of Microbiology and Genetics, Vienna Biocenter, Dr. Bohrgasse 9, A-1030 Vienna, Austria
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Balog J. National health insurance in America--the issue of copayment. West J Med 1990; 152:76. [PMID: 2340021 PMCID: PMC1002272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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