1
|
Zhai Y, Fu X, Xu W. Miniature mass spectrometers and their potential for clinical point-of-care analysis. MASS SPECTROMETRY REVIEWS 2024; 43:1172-1191. [PMID: 37610153 DOI: 10.1002/mas.21867] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 08/04/2023] [Accepted: 08/11/2023] [Indexed: 08/24/2023]
Abstract
Mass spectrometry (MS) has become a powerful technique for clinical applications with high sensitivity and specificity. Different from conventional MS diagnosis in laboratory, point-of-care (POC) analyses in clinics require mass spectrometers and analytical procedures to be friendly for novice users and applicable for on-site clinical diagnosis. The recent decades have seen the progress in the development of miniature mass spectrometers, providing a promising solution for clinical POC applications. In this review, we report recent advances of miniature mass spectrometers and their exploration in clinical applications, mainly including the rapid analysis of illegal drugs, on-site monitoring of therapeutic drugs, and detection of biomarkers. With improved analytical performance, miniature mass spectrometers are also expected to apply to more and more clinical applications. Some promising POC analyses that can be performed by miniature mass spectrometers in the future are discussed. Lastly, we also provide our perspectives on the challenges in technical development of miniature mass spectrometers for clinical POC analysis.
Collapse
Affiliation(s)
- Yanbing Zhai
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Xinyan Fu
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Wei Xu
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| |
Collapse
|
2
|
Samanipour S, Barron LP, van Herwerden D, Praetorius A, Thomas KV, O’Brien JW. Exploring the Chemical Space of the Exposome: How Far Have We Gone? JACS AU 2024; 4:2412-2425. [PMID: 39055136 PMCID: PMC11267556 DOI: 10.1021/jacsau.4c00220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 05/29/2024] [Accepted: 05/31/2024] [Indexed: 07/27/2024]
Abstract
Around two-thirds of chronic human disease can not be explained by genetics alone. The Lancet Commission on Pollution and Health estimates that 16% of global premature deaths are linked to pollution. Additionally, it is now thought that humankind has surpassed the safe planetary operating space for introducing human-made chemicals into the Earth System. Direct and indirect exposure to a myriad of chemicals, known and unknown, poses a significant threat to biodiversity and human health, from vaccine efficacy to the rise of antimicrobial resistance as well as autoimmune diseases and mental health disorders. The exposome chemical space remains largely uncharted due to the sheer number of possible chemical structures, estimated at over 1060 unique forms. Conventional methods have cataloged only a fraction of the exposome, overlooking transformation products and often yielding uncertain results. In this Perspective, we have reviewed the latest efforts in mapping the exposome chemical space and its subspaces. We also provide our view on how the integration of data-driven approaches might be able to bridge the identified gaps.
Collapse
Affiliation(s)
- Saer Samanipour
- Van’t
Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, Amsterdam 1090 GD, The Netherlands
- UvA
Data Science Center, University of Amsterdam, Amsterdam 1090 GD, The Netherlands
- Queensland
Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Leon Patrick Barron
- Van’t
Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, Amsterdam 1090 GD, The Netherlands
- MRC
Centre for Environment and Health, Environmental Research Group, School
of Public Health, Faculty of Medicine, Imperial
College London, London W12 0BZ, United Kingdom
| | - Denice van Herwerden
- Van’t
Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, Amsterdam 1090 GD, The Netherlands
| | - Antonia Praetorius
- Institute
for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam 1090 GD, The Netherlands
| | - Kevin V. Thomas
- Queensland
Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Jake William O’Brien
- Van’t
Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, Amsterdam 1090 GD, The Netherlands
- Queensland
Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Cornwall Street, Woolloongabba, Queensland 4102, Australia
| |
Collapse
|
3
|
Molnár A, Horkovics-Kováts GS, Kucsma N, Szegő Z, Tauber B, Egri A, Szkupien Z, Deák BA, McKenzie JS, Thuróczy J, Schäffer R, Schlosser G, Szakács G, Balog J. Characterisation of Canine and Feline Breast Tumours, Their Metastases, and Corresponding Primary Cell Lines Using LA-REIMS and DESI-MS Imaging. Int J Mol Sci 2024; 25:7752. [PMID: 39062995 PMCID: PMC11277125 DOI: 10.3390/ijms25147752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Revised: 06/30/2024] [Accepted: 07/10/2024] [Indexed: 07/28/2024] Open
Abstract
Breast cancer, a complex disease with a significant prevalence to form metastases, necessitates novel therapeutic strategies to improve treatment outcomes. Here, we present the results of a comparative molecular study of primary breast tumours, their metastases, and the corresponding primary cell lines using Desorption Electrospray Ionisation (DESI) and Laser-Assisted Rapid Evaporative Ionisation Mass Spectrometry (LA-REIMS) imaging. Our results show that ambient ionisation mass spectrometry technology is suitable for rapid characterisation of samples, providing a lipid- and metabolite-rich spectrum within seconds. Our study demonstrates that the lipidomic fingerprint of the primary tumour is not significantly distinguishable from that of its metastasis, in parallel with the similarity observed between their respective primary cell lines. While significant differences were observed between tumours and the corresponding cell lines, distinct lipidomic signatures and several phospholipids such as PA(36:2), PE(36:1), and PE(P-38:4)/PE(O-38:5) for LA-REIMS imaging and PE(P-38:4)/PE(O-38:5), PS(36:1), and PI(38:4) for DESI-MSI were identified in both tumours and cells. We show that the tumours' characteristics can be found in the corresponding primary cell lines, offering a promising avenue for assessing tumour responsiveness to therapeutic interventions. A comparative analysis by DESI-MSI and LA-REIMS imaging revealed complementary information, demonstrating the utility of LA-REIMS in the molecular imaging of cancer.
Collapse
Affiliation(s)
- Adrienn Molnár
- Hevesy György PhD School of Chemistry, ELTE Eötvös Loránd University, H-1117 Budapest, Hungary; (A.M.); (G.S.H.-K.)
- Waters Research Center, H-1031 Budapest, Hungary; (Z.S.); (A.E.); (R.S.)
- MTA-ELTE Lendület (Momentum) Ion Mobility Mass Spectrometry Research Group, Faculty of Science, Institute of Chemistry, ELTE Eötvös Loránd University, H-1117 Budapest, Hungary;
| | - Gabriel Stefan Horkovics-Kováts
- Hevesy György PhD School of Chemistry, ELTE Eötvös Loránd University, H-1117 Budapest, Hungary; (A.M.); (G.S.H.-K.)
- Waters Research Center, H-1031 Budapest, Hungary; (Z.S.); (A.E.); (R.S.)
| | - Nóra Kucsma
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, H-1117 Budapest, Hungary; (N.K.); (G.S.)
| | - Zsuzsanna Szegő
- Waters Research Center, H-1031 Budapest, Hungary; (Z.S.); (A.E.); (R.S.)
| | | | - Attila Egri
- Waters Research Center, H-1031 Budapest, Hungary; (Z.S.); (A.E.); (R.S.)
| | | | - Bálint András Deák
- Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, H-1085 Budapest, Hungary;
| | - James S. McKenzie
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London W12 0NN, UK;
| | | | - Richard Schäffer
- Waters Research Center, H-1031 Budapest, Hungary; (Z.S.); (A.E.); (R.S.)
| | - Gitta Schlosser
- MTA-ELTE Lendület (Momentum) Ion Mobility Mass Spectrometry Research Group, Faculty of Science, Institute of Chemistry, ELTE Eötvös Loránd University, H-1117 Budapest, Hungary;
| | - Gergely Szakács
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, H-1117 Budapest, Hungary; (N.K.); (G.S.)
- Center for Cancer Research, Medical University of Vienna, 1090 Vienna, Austria
| | - Júlia Balog
- Waters Research Center, H-1031 Budapest, Hungary; (Z.S.); (A.E.); (R.S.)
| |
Collapse
|
4
|
Zhang F, Xu J, Yue Y, Wang Y, Sun J, Song D, Zhang C, Qu L, Zhu S, Zhang J, Yang B. Three-dimensional histological electrophoresis enables fast automatic distinguishment of cancer margins and lymph node metastases. SCIENCE ADVANCES 2023; 9:eadg2690. [PMID: 37390200 PMCID: PMC10313175 DOI: 10.1126/sciadv.adg2690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 05/25/2023] [Indexed: 07/02/2023]
Abstract
Tissue diagnosis is important during surgical excision of solid tumors for margin evaluation. Conventional histopathologic methods rely heavily on image-based visual diagnosis by specialized pathologists, which can be time-consuming and subjective. We report a three-dimensional (3D) histological electrophoresis system for rapid labeling and separation of the proteins within tissue sections, providing a more precise assessment of tumor-positive margin in surgically resected tissues. The 3D histological electrophoresis system uses a tumor-seeking dye labeling strategy to visualize the distribution of tumor-specific proteins within sections and a tumor finder that automatically predicts the tumor contour. We successfully demonstrated the system's capability to predict the tumor contours from five murine xenograft models and distinguish the tumor-invaded region of sentinel lymph nodes. Specifically, we used the system to accurately assess tumor-positive margins from 14 patients with cancer. Our 3D histological electrophoresis system serves as an intraoperative tissue assessment technology for more accurate and automatic pathologic diagnosis.
Collapse
Affiliation(s)
- Feiran Zhang
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Jiajun Xu
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Ying Yue
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Yajun Wang
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Jianing Sun
- School of Mathematics and Statistics, Northeast Normal University, Changchun 130024, P. R. China
| | - Dong Song
- Department of Breast Surgery, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Chengbin Zhang
- Department of Pathology, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Limei Qu
- Department of Pathology, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Shoujun Zhu
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Junhu Zhang
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Bai Yang
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun 130021, P. R. China
| |
Collapse
|
5
|
Maiju L, Anna A, Artturi V, Teemu T, Anton K, Markus K, Antti V, Antti R, Niku O. Laser desorption tissue imaging with Differential Mobility Spectrometry. Exp Mol Pathol 2022; 125:104759. [PMID: 35337806 DOI: 10.1016/j.yexmp.2022.104759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 02/27/2022] [Accepted: 03/19/2022] [Indexed: 11/04/2022]
Abstract
Pathological gross examination of breast carcinoma samples is sometimes laborious. A tissue pre-mapping method could indicate neoplastic areas to the pathologist and enable focused sampling. Differential Mobility Spectrometry (DMS) is a rapid and affordable technology for complex gas mixture analysis. We present an automated tissue laser analysis system for imaging approaches (iATLAS), which utilizes a computer-controlled laser evaporator unit coupled with a DMS gas analyzer. The system is demonstrated in the classification of porcine tissue samples and three human breast carcinomas. Tissue samples from eighteen landrace pigs were classified with the system based on a pre-designed matrix (spatial resolution 1-3 mm). The smoke samples were analyzed with DMS, and tissue classification was performed with several machine learning approaches. Porcine skeletal muscle (n = 1030), adipose tissue (n = 1329), normal breast tissue (n = 258), bone (n = 680), and liver (n = 264) were identified with 86% cross-validation (CV) accuracy with a convolutional neural network (CNN) model. Further, a panel tissue that comprised all five tissue types was applied as an independent validation dataset. In this test, 82% classification accuracy with CNN was achieved. An analogous procedure was applied to demonstrate the feasibility of iATLAS in breast cancer imaging according to 1) macroscopically and 2) microscopically annotated data with 10-fold CV and SVM (radial kernel). We reached a classification accuracy of 94%, specificity of 94%, and sensitivity of 93% with the macroscopically annotated data from three breast cancer specimens. The microscopic annotation was applicable to two specimens. For the first specimen, the classification accuracy was 84% (specificity 88% and sensitivity 77%). For the second, the classification accuracy was 72% (specificity 88% and sensitivity 24%). This study presents a promising method for automated tissue imaging in an animal model and lays foundation for breast cancer imaging.
Collapse
Affiliation(s)
- Lepomäki Maiju
- Surgery, Faculty of Medicine and Health Technology, Tampere University, Kauppi Campus, Arvo Building, Arvo Ylpön katu 34, 33520 Tampere, Finland; Department of Pathology, Fimlab Laboratories, Arvo Ylpön katu 4, FI-33520 Tampere, Finland.
| | - Anttalainen Anna
- Olfactomics Ltd, Kampusareena, Korkeakoulunkatu 7, FI-33720 Tampere, Finland; Sensor Technology and Biomeasurements, Faculty of Medicine and Health Technology, Tampere University, Hervanta Campus, Sähkötalo Building, Korkeakoulunkatu 3, FI-33720 Tampere, Finland
| | - Vuorinen Artturi
- Sensor Technology and Biomeasurements, Faculty of Medicine and Health Technology, Tampere University, Hervanta Campus, Sähkötalo Building, Korkeakoulunkatu 3, FI-33720 Tampere, Finland
| | - Tolonen Teemu
- Department of Pathology, Fimlab Laboratories, Arvo Ylpön katu 4, FI-33520 Tampere, Finland
| | - Kontunen Anton
- Olfactomics Ltd, Kampusareena, Korkeakoulunkatu 7, FI-33720 Tampere, Finland; Sensor Technology and Biomeasurements, Faculty of Medicine and Health Technology, Tampere University, Hervanta Campus, Sähkötalo Building, Korkeakoulunkatu 3, FI-33720 Tampere, Finland
| | - Karjalainen Markus
- Olfactomics Ltd, Kampusareena, Korkeakoulunkatu 7, FI-33720 Tampere, Finland; Sensor Technology and Biomeasurements, Faculty of Medicine and Health Technology, Tampere University, Hervanta Campus, Sähkötalo Building, Korkeakoulunkatu 3, FI-33720 Tampere, Finland
| | - Vehkaoja Antti
- Sensor Technology and Biomeasurements, Faculty of Medicine and Health Technology, Tampere University, Hervanta Campus, Sähkötalo Building, Korkeakoulunkatu 3, FI-33720 Tampere, Finland
| | - Roine Antti
- Surgery, Faculty of Medicine and Health Technology, Tampere University, Kauppi Campus, Arvo Building, Arvo Ylpön katu 34, 33520 Tampere, Finland; Olfactomics Ltd, Kampusareena, Korkeakoulunkatu 7, FI-33720 Tampere, Finland
| | - Oksala Niku
- Surgery, Faculty of Medicine and Health Technology, Tampere University, Kauppi Campus, Arvo Building, Arvo Ylpön katu 34, 33520 Tampere, Finland; Olfactomics Ltd, Kampusareena, Korkeakoulunkatu 7, FI-33720 Tampere, Finland; Vascular Centre, Tampere University Hospital, Central Hospital, P.O. Box 2000, FI-33521 Tampere, Finland
| |
Collapse
|
6
|
Metabolomic Phenotyping of Gliomas: What Can We Get with Simplified Protocol for Intact Tissue Analysis? Cancers (Basel) 2022; 14:cancers14020312. [PMID: 35053475 PMCID: PMC8773998 DOI: 10.3390/cancers14020312] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/02/2022] [Accepted: 01/05/2022] [Indexed: 12/17/2022] Open
Abstract
Glioblastoma multiforme is one of the most malignant neoplasms among humans in their third and fourth decades of life, which is evidenced by short patient survival times and rapid tumor-cell proliferation after radiation and chemotherapy. At present, the diagnosis of gliomas and decisions related to therapeutic strategies are based on genetic testing and histological analysis of the tumor, with molecular biomarkers still being sought to complement the diagnostic panel. This work aims to enable the metabolomic characterization of cancer tissue and the discovery of potential biomarkers via high-resolution mass spectrometry coupled to liquid chromatography and a solvent-free sampling protocol that uses a microprobe to extract metabolites directly from intact tumors. The metabolomic analyses were performed independently from genetic and histological testing and at a later time. Despite the small cohort analyzed in this study, the results indicated that the proposed method is able to identify metabolites associated with different malignancy grades of glioma, as well as IDH and 1p19q codeletion mutations. A comparison of the constellation of identified metabolites and the results of standard tests indicated the validity of using the characterization of one comprehensive tumor phenotype as a reflection of all diagnostically meaningful information. Due to its simplicity, the proposed analytical approach was verified as being compatible with a surgical environment and applicable for large-scale studies.
Collapse
|
7
|
Nauta S, Huysmans P, Tuijthof GM, Eijkel GB, Poeze M, Siegel TP, Heeren RMA. Automated 3D Sampling and Imaging of Uneven Sample Surfaces with LA-REIMS. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2022; 33:111-122. [PMID: 34882413 PMCID: PMC8739836 DOI: 10.1021/jasms.1c00290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
The analysis of samples with large height variations remains a challenge for mass spectrometry imaging (MSI), despite many technological advantages. Ambient sampling and ionization MS techniques allow for the molecular analysis of sample surfaces with height variations, but most techniques lack MSI capabilities. We developed a 3D MS scanner for the automated sampling and imaging of a 3D surface with laser-assisted rapid evaporative ionization mass spectrometry (LA-REIMS). The sample is moved automatically with a constant distance between the laser probe and sample surface in the 3D MS Scanner. The topography of the surface was scanned with a laser point distance sensor to define the MS measurement points. MS acquisition was performed with LA-REIMS using a surgical CO2 laser coupled to a qTOF instrument. The topographical scan and MS acquisition can be completed within 1 h using the 3D MS scanner for 300 measurement points on uneven samples with a spatial resolution of 2 mm in the top view, corresponding to 22.04 cm2. Comparison between the automated acquisition with the 3D MS scanner and manual acquisition by hand showed that the automation resulted in increased reproducibility between the measurement points. 3D visualizations of molecular distributions related to structural differences were shown for an apple, a marrowbone, and a human femoral head to demonstrate the imaging feasibility of the system. The developed 3D MS scanner allows for the automated sampling of surfaces with uneven topographies with LA-REIMS, which can be used for the 3D visualization of molecular distributions of these surfaces.
Collapse
Affiliation(s)
- Sylvia
P. Nauta
- Maastricht
MultiModal Molecular Imaging (M4i) Institute, Division of Imaging
Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, The Netherlands
- Department
of Orthopedic Surgery and Trauma Surgery, Maastricht University Medical Center, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
| | - Pascal Huysmans
- Research
Engineering, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, The Netherlands
| | - Gabriëlle
J. M. Tuijthof
- Research
Engineering, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, The Netherlands
| | - Gert B. Eijkel
- Maastricht
MultiModal Molecular Imaging (M4i) Institute, Division of Imaging
Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, The Netherlands
| | - Martijn Poeze
- Department
of Surgery, Division of Trauma Surgery, Maastricht University Medical Center, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
- NUTRIM,
School for Nutrition and Translational Research in Metabolism, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, The Netherlands
| | - Tiffany Porta Siegel
- Maastricht
MultiModal Molecular Imaging (M4i) Institute, Division of Imaging
Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, The Netherlands
| | - Ron M. A. Heeren
- Maastricht
MultiModal Molecular Imaging (M4i) Institute, Division of Imaging
Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, The Netherlands
| |
Collapse
|
8
|
Katz L, Tata A, Woolman M, Zarrine-Afsar A. Lipid Profiling in Cancer Diagnosis with Hand-Held Ambient Mass Spectrometry Probes: Addressing the Late-Stage Performance Concerns. Metabolites 2021; 11:metabo11100660. [PMID: 34677375 PMCID: PMC8537725 DOI: 10.3390/metabo11100660] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/18/2021] [Accepted: 09/22/2021] [Indexed: 02/06/2023] Open
Abstract
Untargeted lipid fingerprinting with hand-held ambient mass spectrometry (MS) probes without chromatographic separation has shown promise in the rapid characterization of cancers. As human cancers present significant molecular heterogeneities, careful molecular modeling and data validation strategies are required to minimize late-stage performance variations of these models across a large population. This review utilizes parallels from the pitfalls of conventional protein biomarkers in reaching bedside utility and provides recommendations for robust modeling as well as validation strategies that could enable the next logical steps in large scale assessment of the utility of ambient MS profiling for cancer diagnosis. Six recommendations are provided that range from careful initial determination of clinical added value to moving beyond just statistical associations to validate lipid involvements in disease processes mechanistically. Further guidelines for careful selection of suitable samples to capture expected and unexpected intragroup variance are provided and discussed in the context of demographic heterogeneities in the lipidome, further influenced by lifestyle factors, diet, and potential intersect with cancer lipid pathways probed in ambient mass spectrometry profiling studies.
Collapse
Affiliation(s)
- Lauren Katz
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, Canada; (L.K.); (M.W.)
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, ON M5G 1P5, Canada
| | - Alessandra Tata
- Laboratorio di Chimica Sperimentale, Istituto Zooprofilattico delle Venezie, Viale Fiume 78, 36100 Vicenza, Italy;
| | - Michael Woolman
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, Canada; (L.K.); (M.W.)
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, ON M5G 1P5, Canada
| | - Arash Zarrine-Afsar
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, Canada; (L.K.); (M.W.)
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, ON M5G 1P5, Canada
- Department of Surgery, University of Toronto, 149 College Street, Toronto, ON M5T 1P5, Canada
- Keenan Research Center for Biomedical Science & the Li Ka Shing Knowledge Institute, St. Michael’s Hospital, 30 Bond Street, Toronto, ON M5B 1W8, Canada
- Correspondence: ; Tel.: +1-416-581-8473
| |
Collapse
|
9
|
Zhang J, Sans M, Garza KY, Eberlin LS. MASS SPECTROMETRY TECHNOLOGIES TO ADVANCE CARE FOR CANCER PATIENTS IN CLINICAL AND INTRAOPERATIVE USE. MASS SPECTROMETRY REVIEWS 2021; 40:692-720. [PMID: 33094861 DOI: 10.1002/mas.21664] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 09/09/2020] [Accepted: 09/09/2020] [Indexed: 06/11/2023]
Abstract
Developments in mass spectrometry technologies have driven a widespread interest and expanded their use in cancer-related research and clinical applications. In this review, we highlight the developments in mass spectrometry methods and instrumentation applied to direct tissue analysis that have been tailored at enhancing performance in clinical research as well as facilitating translation and implementation of mass spectrometry in clinical settings, with a focus on cancer-related studies. Notable studies demonstrating the capabilities of direct mass spectrometry analysis in biomarker discovery, cancer diagnosis and prognosis, tissue analysis during oncologic surgeries, and other clinically relevant problems that have the potential to substantially advance cancer patient care are discussed. Key challenges that need to be addressed before routine clinical implementation including regulatory efforts are also discussed. Overall, the studies highlighted in this review demonstrate the transformative potential of mass spectrometry technologies to advance clinical research and care for cancer patients. © 2020 Wiley Periodicals, Inc. Mass Spec Rev.
Collapse
Affiliation(s)
- Jialing Zhang
- Department of Chemistry, University of Texas at Austin, Austin, TX
| | - Marta Sans
- Department of Chemistry, University of Texas at Austin, Austin, TX
| | - Kyana Y Garza
- Department of Chemistry, University of Texas at Austin, Austin, TX
| | - Livia S Eberlin
- Department of Chemistry, University of Texas at Austin, Austin, TX
| |
Collapse
|
10
|
Plekhova V, Van Meulebroek L, De Graeve M, Perdones-Montero A, De Spiegeleer M, De Paepe E, Van de Walle E, Takats Z, Cameron SJS, Vanhaecke L. Rapid ex vivo molecular fingerprinting of biofluids using laser-assisted rapid evaporative ionization mass spectrometry. Nat Protoc 2021; 16:4327-4354. [PMID: 34341579 DOI: 10.1038/s41596-021-00580-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 05/31/2021] [Indexed: 01/29/2023]
Abstract
Of the many metabolites involved in any clinical condition, only a narrow range of biomarkers is currently being used in the clinical setting. A key to personalized medicine would be to extend this range. Metabolic fingerprinting provides a more comprehensive insight, but many methods used for metabolomics analysis are too complex and time-consuming to be diagnostically useful. Here, a rapid evaporative ionization mass spectrometry (REIMS) system for direct ex vivo real-time analysis of biofluids with minor sample pretreatment is detailed. The REIMS can be linked to various laser wavelength systems (such as optical parametric oscillator or CO2 laser) and with automation for high-throughput analysis. Laser-induced sample evaporation occurs within seconds through radiative heating with the plume guided to the MS instrument. The presented procedure includes (i) laser setup with automation, (ii) analysis of biofluids (blood/urine/stool/saliva/sputum/breast milk) and (iii) data analysis. We provide the optimal settings for biofluid analysis and quality control, enabling sensitive, precise and robust analysis. Using the automated setup, 96 samples can be analyzed in ~35-40 min per ionization mode, with no intervention required. Metabolic fingerprints are made up of 2,000-4,000 features, for which relative quantification can be achieved at high repeatability when total ion current normalization is applied. With saliva and feces as example matrices, >70% of features had a coefficient of variance ≤30%. However, to achieve acceptable long-term reproducibility, additional normalizations by, e.g., LOESS are recommended, especially for positive ionization.
Collapse
Affiliation(s)
- Vera Plekhova
- Laboratory of Chemical Analysis, Ghent University, Merelbeke, Belgium
| | - Lieven Van Meulebroek
- Laboratory of Chemical Analysis, Ghent University, Merelbeke, Belgium.,ProDigest BV, Zwijnaarde, Belgium
| | - Marilyn De Graeve
- Laboratory of Chemical Analysis, Ghent University, Merelbeke, Belgium
| | | | | | - Ellen De Paepe
- Laboratory of Chemical Analysis, Ghent University, Merelbeke, Belgium
| | - Emma Van de Walle
- Laboratory of Chemical Analysis, Ghent University, Merelbeke, Belgium
| | - Zoltan Takats
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Simon J S Cameron
- School of Biological Sciences, Institute for Global Food Security, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Lynn Vanhaecke
- Laboratory of Chemical Analysis, Ghent University, Merelbeke, Belgium. .,School of Biological Sciences, Institute for Global Food Security, Queen's University Belfast, Belfast, Northern Ireland, UK.
| |
Collapse
|
11
|
Fu X, Wang Y, Xia B, Shi P, Zhou Y. Ultrasonic Sputter Desorption Mass Spectrometry Technique for Minimally Invasive Tissue Analysis. Anal Chem 2021; 93:10502-10510. [PMID: 34284576 DOI: 10.1021/acs.analchem.1c01448] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Minimally invasive techniques for in vivo tissue analysis are desired by life science and medical research. Herein, a new ionization interface coupled with ultrasonic sputter desorption (USD) was developed for in vitro and in vivo tissue analysis. Sample molecules were effectively sputtered out when the high-frequency ultrasonic probe touched the tissue. Then, the sputtered molecules were collected and ionized by a custom-made heated quartz tube and finally analyzed by mass spectrometry (MS) online. The sample pretreatment of the USD-MS technique was quite simple and required no other steps except for wetting the tissue surface with ethanol to assist molecular extraction. Experimental results demonstrated that the proposed method was suitable for the analysis of different morphologies of tissues (such as liver, brain, kidney, and lung) and performed well in the analysis of liver tumors and paracancerous tissues. Moreover, as the proposed method caused little damage to the tissues during analysis, rats and mice with orthotopic tumors still survived after the experiments. Overall, the newly developed USD-MS technique was an effective tool for minimally invasive tissue analysis and could be used as a new candidate method for in situ and real-time analysis of biological tissues in vitro and in vivo.
Collapse
Affiliation(s)
- Xian Fu
- Chengdu Institute of Biology, Chinese Academy of Sciences, No. 93 South Keyuan Road, Gaoxin Distinct, Chengdu 610041, P. R. China.,Center for Novel Target & Therapeutic Intervention, Institute of Life Sciences, Chongqing Medical University, Chongqing 400016, P. R. China
| | - Yu Wang
- Chengdu Institute of Biology, Chinese Academy of Sciences, No. 93 South Keyuan Road, Gaoxin Distinct, Chengdu 610041, P. R. China.,University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Bing Xia
- Chengdu Institute of Biology, Chinese Academy of Sciences, No. 93 South Keyuan Road, Gaoxin Distinct, Chengdu 610041, P. R. China
| | - Peiyu Shi
- Chengdu Institute of Biology, Chinese Academy of Sciences, No. 93 South Keyuan Road, Gaoxin Distinct, Chengdu 610041, P. R. China.,University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Yan Zhou
- Chengdu Institute of Biology, Chinese Academy of Sciences, No. 93 South Keyuan Road, Gaoxin Distinct, Chengdu 610041, P. R. China
| |
Collapse
|
12
|
Ma J, Li T, Chen H, Wang C, Wang H, Li Q. Lipidomic analysis and diagnosis of glioblastoma multiforme with rapid evaporative ionization mass spectrometry. Electrophoresis 2021; 42:1965-1973. [PMID: 34272893 DOI: 10.1002/elps.202100130] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 07/04/2021] [Accepted: 07/13/2021] [Indexed: 01/17/2023]
Abstract
Glioblastoma multiforme (GBM) is the most common and aggressive brain tumor in the central nervous system. GBM patients have a very low 5-year survival rate and most of them died within 1 year. Conventional histopathological examination for GBM diagnosis is complicated and time-consuming, which always blocks the development of more precise and effective treatments in resection operation. Rapid evaporative ionization mass spectrometry (REIMS) is a MS technique in clinical medicine research, which combines the common diathermy device with MS to acquire the lipid profiles of tissue specimens for lipidomic analysis and real-time tumor diagnosis. In this study, the REIMS method employing bipolar forceps was optimized and validated for high-throughput lipidomics and diagnosis of GBM for the first time. Total 42 lipid metabolites were tentatively identified and 12 out of 13 lipid biomarkers showed higher intensities in GBM, which were consistent with previous studies. After this, a statistic model was built with the lipidomic data for the diagnosis of GBM tumor in real-time. The diagnostic accuracy (94.74%), sensitivity (95.38%), and specificity (93.33%) were evaluated with histopathology validated brain tissue specimens that were not used in the training set. The proposed REIMS method for the lipidomic-analysis and diagnosis of GBM tumor provides a new direction for MS-based lipidomics and precision medicine and might be used to guide surgeons to precisely resect the GBM tissue and keep the normal brain tissue in operation.
Collapse
Affiliation(s)
- Jianfeng Ma
- Zhejiang Provincial Key Laboratory of Anesthesiology, Department of Anesthesiology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, P. R. China
| | - Ting Li
- Zhejiang Provincial Key Laboratory of Anesthesiology, Department of Anesthesiology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, P. R. China.,Clinical Research Unit, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, P. R. China
| | - Huiyao Chen
- Department of Pathology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, P. R. China
| | - Chengde Wang
- Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, P. R. China
| | - Haixing Wang
- Zhejiang Provincial Key Laboratory of Anesthesiology, Department of Anesthesiology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, P. R. China
| | - Qun Li
- Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, P. R. China
| |
Collapse
|
13
|
Zhang J, Sans M, DeHoog RJ, Garza KY, King ME, Feider CL, Bensussan A, Keating MF, Lin JQ, Povilaitis SC, Katta N, Milner TE, Yu W, Nagi C, Dhingra S, Pirko C, Brahmbhatt KA, Van Buren G, Carter S, Thompson A, Grogan RH, Suliburk J, Eberlin LS. Clinical Translation and Evaluation of a Handheld and Biocompatible Mass Spectrometry Probe for Surgical Use. Clin Chem 2021; 67:1271-1280. [PMID: 34263289 DOI: 10.1093/clinchem/hvab098] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 05/05/2021] [Indexed: 11/13/2022]
Abstract
BACKGROUND Intraoperative tissue analysis and identification are critical to guide surgical procedures and improve patient outcomes. Here, we describe the clinical translation and evaluation of the MasSpec Pen technology for molecular analysis of in vivo and freshly excised tissues in the operating room (OR). METHODS An Orbitrap mass spectrometer equipped with a MasSpec Pen interface was installed in an OR. A "dual-path" MasSpec Pen interface was designed and programmed for the clinical studies with 2 parallel systems that facilitated the operation of the MasSpec Pen. The MasSpec Pen devices were autoclaved before each surgical procedure and were used by surgeons and surgical staff during 100 surgeries over a 12-month period. RESULTS Detection of mass spectral profiles from 715 in vivo and ex vivo analyses performed on thyroid, parathyroid, lymph node, breast, pancreatic, and bile duct tissues during parathyroidectomies, thyroidectomies, breast, and pancreatic neoplasia surgeries was achieved. The MasSpec Pen enabled gentle extraction and sensitive detection of various molecular species including small metabolites and lipids using a droplet of sterile water without causing apparent tissue damage. Notably, effective molecular analysis was achieved while no limitations to sequential histologic tissue analysis were identified and no device-related complications were reported for any of the patients. CONCLUSIONS This study shows that the MasSpec Pen system can be successfully incorporated into the OR, allowing direct detection of rich molecular profiles from tissues with a seconds-long turnaround time that could be used to inform surgical and clinical decisions without disrupting tissue analysis workflows.
Collapse
Affiliation(s)
- Jialing Zhang
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Marta Sans
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Rachel J DeHoog
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Kyana Y Garza
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Mary E King
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Clara L Feider
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Alena Bensussan
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Michael F Keating
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - John Q Lin
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | | | - Nitesh Katta
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX
| | - Thomas E Milner
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX
| | - Wendong Yu
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX
| | - Chandandeep Nagi
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX
| | - Sadhna Dhingra
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX
| | | | | | | | - Stacey Carter
- Department of Surgery, Baylor College of Medicine, Houston, TX
| | | | - Raymon H Grogan
- Department of Surgery, Baylor College of Medicine, Houston, TX
| | - James Suliburk
- Department of Surgery, Baylor College of Medicine, Houston, TX
| | - Livia S Eberlin
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| |
Collapse
|
14
|
Ding X, Liu K, Shi Z. LASER DESORPTION/ABLATION POSTIONIZATION MASS SPECTROMETRY: RECENT PROGRESS IN BIOANALYTICAL APPLICATIONS. MASS SPECTROMETRY REVIEWS 2021; 40:566-605. [PMID: 32770707 DOI: 10.1002/mas.21649] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 07/07/2020] [Accepted: 07/16/2020] [Indexed: 06/11/2023]
Abstract
Lasers have long been used in the field of mass spectrometric analysis for characterization of condensed matter. However, emission of neutrals upon laser irradiation surpasses the number of ions. Typically, only one in about one million analytes ejected by laser desorption/ablation is ionized, which has fueled the quest for postionization methods enabling ionization of desorbed neutrals to enhance mass spectrometric detection schemes. The development of postionization techniques can be an endeavor that integrates multiple disciplines involving photon energy transfer, electrochemistry, gas discharge, etc. The combination of lasers of different parameters and diverse ion sources has made laser desorption/ablation postionization (LD/API) a growing and lively research community, including two-step laser mass spectrometry, laser ablation atmospheric pressure photoionization mass spectrometry, and those coupled to ambient mass spectrometry. These hyphenated techniques have shown potentials in bioanalytical applications, with major inroads to be made in simultaneous location and quantification of pharmaceuticals, toxins, and metabolites in complex biomatrixes. This review is intended to provide a timely comprehensive view of the broadening bioanalytical applications of disparate LD/API techniques. We also have attempted to discuss these applications according to the classifications based on the postionization methods and to encapsulate the latest achievements in the field of LD/API by highlighting some of the very best reports in the 21st century. © 2020 John Wiley & Sons Ltd.
Collapse
Affiliation(s)
- Xuelu Ding
- Department of Pharmaceutical Analysis, School of Pharmacy, Qingdao University, Qingdao, 266021, China
| | - Kun Liu
- Department of Pharmaceutical Analysis, School of Pharmacy, Qingdao University, Qingdao, 266021, China
| | - Zhenyan Shi
- Department of Pharmaceutical Analysis, School of Pharmacy, Qingdao University, Qingdao, 266021, China
| |
Collapse
|
15
|
Otsuka Y. Direct Liquid Extraction and Ionization Techniques for Understanding Multimolecular Environments in Biological Systems (Secondary Publication). Mass Spectrom (Tokyo) 2021; 10:A0095. [PMID: 34249586 PMCID: PMC8246329 DOI: 10.5702/massspectrometry.a0095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 04/21/2021] [Indexed: 11/23/2022] Open
Abstract
A combination of direct liquid extraction using a small volume of solvent and electrospray ionization allows the rapid measurement of complex chemical components in biological samples and visualization of their distribution in tissue sections. This review describes the development of such techniques and their application to biological research since the first reports in the early 2000s. An overview of electrospray ionization, ion suppression in samples, and the acceleration of specific chemical reactions in charged droplets is also presented. Potential future applications for visualizing multimolecular environments in biological systems are discussed.
Collapse
Affiliation(s)
- Yoichi Otsuka
- Graduate School of Science, Osaka University, 1–1 Machikaneyama-cho, Toyonaka, Osaka 560–0043, Japan
- JST, PRESTO, 4–1–8 Honcho, Kawaguchi, Saitama 332–0012, Japan
| |
Collapse
|
16
|
Nauta SP, Poeze M, Heeren RMA, Porta Siegel T. Clinical use of mass spectrometry (imaging) for hard tissue analysis in abnormal fracture healing. Clin Chem Lab Med 2021; 58:897-913. [PMID: 32049645 DOI: 10.1515/cclm-2019-0857] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 12/16/2019] [Indexed: 12/23/2022]
Abstract
Common traumas to the skeletal system are bone fractures and injury-related articular cartilage damage. The healing process can be impaired resulting in non-unions in 5-10% of the bone fractures and in post-traumatic osteoarthritis (PTOA) in up to 75% of the cases of cartilage damage. Despite the amount of research performed in the areas of fracture healing and cartilage repair as well as non-unions and PTOA, still, the outcome of a bone fracture or articular cartilage damage cannot be predicted. Here, we discuss known risk factors and key molecules involved in the repair process, together with the main challenges associated with the prediction of outcome of these injuries. Furthermore, we review and discuss the opportunities for mass spectrometry (MS) - an analytical tool capable of detecting a wide variety of molecules in tissues - to contribute to extending molecular understanding of impaired healing and the discovery of predictive biomarkers. Therefore, the current knowledge and challenges concerning MS imaging of bone and cartilage tissue as well as in vivo MS are discussed. Finally, we explore the possibilities of in situ, real-time MS for the prediction of outcome during surgery of bone fractures and injury-related articular cartilage damage.
Collapse
Affiliation(s)
- Sylvia P Nauta
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Maastricht, The Netherlands.,Department of Orthopedic Surgery and Traumasurgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Martijn Poeze
- Department of Surgery, Division of Traumasurgery, Maastricht University Medical Center, Maastricht, The Netherlands.,NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Ron M A Heeren
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, The Netherlands
| | - Tiffany Porta Siegel
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Maastricht, The Netherlands
| |
Collapse
|
17
|
Ogrinc N, Saudemont P, Takats Z, Salzet M, Fournier I. Cancer Surgery 2.0: Guidance by Real-Time Molecular Technologies. Trends Mol Med 2021; 27:602-615. [PMID: 33965341 DOI: 10.1016/j.molmed.2021.04.001] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 03/30/2021] [Accepted: 04/02/2021] [Indexed: 12/14/2022]
Abstract
In vivo cancer margin delineation during surgery remains a major challenge. Despite the availability of several image guidance techniques and intraoperative assessment, clear surgical margins and debulking efficiency remain scarce. For this reason, there is particular interest in developing rapid intraoperative tools with high sensitivity and specificity to help guide cancer surgery in vivo. Recently, several emerging technologies including intraoperative mass spectrometry have paved the way for molecular guidance in a clinical setting. We evaluate these techniques and assess their relevance for intraoperative surgical guidance and how they can transform the future of molecular cancer surgery, diagnostics, patient management and care.
Collapse
Affiliation(s)
- Nina Ogrinc
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France
| | - Philippe Saudemont
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France
| | - Zoltan Takats
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France
| | - Michel Salzet
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France; Institut Universitaire de France (IUF), Paris, France.
| | - Isabelle Fournier
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France; Institut Universitaire de France (IUF), Paris, France.
| |
Collapse
|
18
|
Woolman M, Katz L, Tata A, Basu SS, Zarrine-Afsar A. Breaking Through the Barrier: Regulatory Considerations Relevant to Ambient Mass Spectrometry at the Bedside. Clin Lab Med 2021; 41:221-246. [PMID: 34020761 DOI: 10.1016/j.cll.2021.03.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Rapid characterization of tissue disorder using ambient mass spectrometry (MS) techniques, requiring little to no preanalytical preparations of sampled tissues, has been shown using a variety of ion sources and with many disease classes. A brief overview of ambient MS in clinical applications, the state of the art in regulatory affairs, and recommendations to facilitate adoption for use at the bedside are presented. Unique challenges in the validation of untargeted MS methods and additional safety and compliance requirements for deployment within a clinical setting are further discussed. Development of a harmonized validation strategy for ambient MS methods is emphasized.
Collapse
Affiliation(s)
- Michael Woolman
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada; Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Lauren Katz
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada; Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Alessandra Tata
- Laboratorio di Chimica Sperimentale, Istituto Zooprofilattico delle Venezie, Viale Fiume 78, 36100 Vicenza, Italy
| | - Sankha S Basu
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Arash Zarrine-Afsar
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada; Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada; Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T 1P5, Canada; Keenan Research Center for Biomedical Science & the Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada.
| |
Collapse
|
19
|
Manoli E, Mason S, Ford L, Adebesin A, Bodai Z, Darzi A, Kinross J, Takats Z. Validation of Ultrasonic Harmonic Scalpel for Real-Time Tissue Identification Using Rapid Evaporative Ionization Mass Spectrometry. Anal Chem 2021; 93:5906-5916. [PMID: 33787247 PMCID: PMC8153397 DOI: 10.1021/acs.analchem.1c00270] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
![]()
In this study, we integrate rapid
evaporative ionization mass spectrometry
(REIMS) with the Harmonic scalpel, an advanced laparoscopic surgical
instrument that utilizes ultrasound energy to dissect and coagulate
tissues. It provides unparalleled manipulation capability to surgeons
and has superseded traditional electrosurgical tools particularly
in abdominal surgery, but is yet to be validated with REIMS. The REIMS
platform coupled with the Harmonic device was shown to produce tissue-specific
lipid profiles through the analysis of porcine tissues in both negative
and positive ionization modes. Comparison with other methods of electrosurgical
dissection, such as monopolar electrosurgery and CO2 laser,
showed spectral differences in the profile dependent on the energy
device used. The Harmonic device demonstrated major spectral differences
in the phospholipid region of m/z 600–1000 compared with the monopolar electrosurgical and
CO2 laser-generated spectra. Within the Harmonic REIMS
spectra, high intensities of diglycerides and triglycerides were observed.
In contrast, monopolar electrosurgical and laser spectra demonstrated
high abundances of glycerophospholipids. The Harmonic scalpel was
able to differentiate between the liver, muscle, colon, and small
intestine, demonstrating 100% diagnostic accuracy. The validation
of the Harmonic device–mass spectrometry combination will allow
the platform to be used safely and robustly for real-time in vivo surgical tissue identification in a variety of clinical
applications.
Collapse
Affiliation(s)
- Eftychios Manoli
- Department of Surgery and Cancer, Imperial College London, St Marys Hospital, London W2 1NY, United Kingdom
| | - Sam Mason
- Department of Surgery and Cancer, Imperial College London, St Marys Hospital, London W2 1NY, United Kingdom
| | - Lauren Ford
- Department of Surgery and Cancer, Imperial College London, St Marys Hospital, London W2 1NY, United Kingdom
| | - Afeez Adebesin
- Department of Surgery and Cancer, Imperial College London, St Marys Hospital, London W2 1NY, United Kingdom
| | - Zsolt Bodai
- Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
| | - Ara Darzi
- Department of Surgery and Cancer, Imperial College London, St Marys Hospital, London W2 1NY, United Kingdom
| | - James Kinross
- Department of Surgery and Cancer, Imperial College London, St Marys Hospital, London W2 1NY, United Kingdom
| | - Zoltan Takats
- Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
| |
Collapse
|
20
|
Yan B, Murta T, Elia EA, Steven RT, Bunch J. Direct Tissue Mass Spectrometry Imaging by Atmospheric Pressure UV-Laser Desorption Plasma Postionization. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:429-435. [PMID: 33289553 DOI: 10.1021/jasms.0c00315] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Matrix-assisted laser desorption ionization (MALDI) operated at atmospheric pressure has been shown to be a promising technique for mass spectrometry imaging of biological tissues at high spatial resolution. Recent studies have shown several orders of magnitude improvement in sensitivity afforded by coupling with a low-temperature plasma (LTP) for postionization. In this work we report the first results from "matrix-free" imaging using our atmospheric pressure (AP) transmission mode (TM) (MA)LDI source with LTP postionization. Direct MSI analysis of murine testis with no sample preparation after tissue sectioning enabled imaging of a range of lipid classes at pixel sizes of 25 μm. We compared results from the matrix-free methods with MALDI experiments in which the matrix was applied on top, underneath, or layered as a sandwich. The sandwich preparation was found to lead to ion yields approximately 2- or 3-fold higher than the other methods, indicating that the addition of a light absorbing matrix remains beneficial. Nonetheless, LDI methods confer a range of advantages, and the sensitivity improvements provided by postionization strategies are a promising step toward high-efficiency laser sampling under ambient conditions.
Collapse
Affiliation(s)
- Bin Yan
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington TW11 0LW, United Kingdom
| | - Teresa Murta
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington TW11 0LW, United Kingdom
| | - Efstathios A Elia
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington TW11 0LW, United Kingdom
| | - Rory T Steven
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington TW11 0LW, United Kingdom
| | - Josephine Bunch
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington TW11 0LW, United Kingdom
- Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
- Rosalind Franklin Institute, Harwell Campus, Didcot OX11 0FA, United Kingdom
| |
Collapse
|
21
|
Keating MF, Zhang J, Feider CL, Retailleau S, Reid R, Antaris A, Hart B, Tan G, Milner TE, Miller K, Eberlin LS. Integrating the MasSpec Pen to the da Vinci Surgical System for In Vivo Tissue Analysis during a Robotic Assisted Porcine Surgery. Anal Chem 2020; 92:11535-11542. [PMID: 32786489 DOI: 10.1021/acs.analchem.0c02037] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Minimally invasive robotic-assisted surgeries have been increasingly used as a first-line of treatment for patients undergoing oncologic surgeries. In-situ tissue identification is critical to guide tissue resection and assist decision-making. Traditional intraoperative histopathologic analysis of frozen tissue sections can be time-consuming and present logistical challenges which interrupt surgical workflows. We report the development and implementation of a laparoscopic, drop-in version of the MasSpec Pen device integrated into the da Vinci Xi Surgical system for in vivo tissue analysis in a robotic-assisted porcine surgery. We evaluated the performance of the drop-in MasSpec Pen during surgery by introducing the device into the animal upper gastrointestinal system and performing in vivo analyses of the stomach and liver, including charred and bloody tissues after electrocauterization. The molecular profiles obtained included ions tentatively identified as metabolites and lipids typically observed with MasSpec Pen analysis, without causing observable tissue damage. Statistical classifiers built to distinguish porcine liver and stomach tissues using the in vivo data yielded an overall tissue identification accuracy of 98% (n = 53 analyses). The results provide evidence that the drop-in MasSpec Pen developed can be used to acquire mass spectra in vivo during a robotic-assisted surgery and might be used as an in vivo tissue assessment tool to help guide surgical resections and streamline surgical workflows.
Collapse
Affiliation(s)
- Michael F Keating
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78751, United States
| | - Jialing Zhang
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78751, United States
| | - Clara L Feider
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78751, United States
| | | | - Robert Reid
- Intuitive Surgical, Sunnyvale, California 94086, United States
| | | | - Bradley Hart
- Thermo Fisher Scientific, San Jose, California 95134, United States
| | - Gina Tan
- Thermo Fisher Scientific, San Jose, California 95134, United States
| | - Thomas E Milner
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78751, United States
| | - Kyle Miller
- Intuitive Surgical, Sunnyvale, California 94086, United States
| | - Livia S Eberlin
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78751, United States
| |
Collapse
|
22
|
Woolman M, Qiu J, Kuzan-Fischer CM, Ferry I, Dara D, Katz L, Daud F, Wu M, Ventura M, Bernards N, Chan H, Fricke I, Zaidi M, Wouters BG, Rutka JT, Das S, Irish J, Weersink R, Ginsberg HJ, Jaffray DA, Zarrine-Afsar A. In situ tissue pathology from spatially encoded mass spectrometry classifiers visualized in real time through augmented reality. Chem Sci 2020; 11:8723-8735. [PMID: 34123126 PMCID: PMC8163395 DOI: 10.1039/d0sc02241a] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Integration between a hand-held mass spectrometry desorption probe based on picosecond infrared laser technology (PIRL-MS) and an optical surgical tracking system demonstrates in situ tissue pathology from point-sampled mass spectrometry data. Spatially encoded pathology classifications are displayed at the site of laser sampling as color-coded pixels in an augmented reality video feed of the surgical field of view. This is enabled by two-way communication between surgical navigation and mass spectrometry data analysis platforms through a custom-built interface. Performance of the system was evaluated using murine models of human cancers sampled in situ in the presence of body fluids with a technical pixel error of 1.0 ± 0.2 mm, suggesting a 84% or 92% (excluding one outlier) cancer type classification rate across different molecular models that distinguish cell-lines of each class of breast, brain, head and neck murine models. Further, through end-point immunohistochemical staining for DNA damage, cell death and neuronal viability, spatially encoded PIRL-MS sampling is shown to produce classifiable mass spectral data from living murine brain tissue, with levels of neuronal damage that are comparable to those induced by a surgical scalpel. This highlights the potential of spatially encoded PIRL-MS analysis for in vivo use during neurosurgical applications of cancer type determination or point-sampling in vivo tissue during tumor bed examination to assess cancer removal. The interface developed herein for the analysis and the display of spatially encoded PIRL-MS data can be adapted to other hand-held mass spectrometry analysis probes currently available. Integration between a hand-held mass spectrometry desorption probe based on picosecond infrared laser technology (PIRL-MS) and an optical surgical tracking system demonstrates in situ tissue pathology from point-sampled mass spectrometry data.![]()
Collapse
Affiliation(s)
- Michael Woolman
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473.,Department of Medical Biophysics, University of Toronto 101 College Street Toronto ON M5G 1L7 Canada
| | - Jimmy Qiu
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Claudia M Kuzan-Fischer
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children 686 Bay Street Toronto ON M5G 0A4 Canada.,Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children Toronto ON M5G 1X8 Canada
| | - Isabelle Ferry
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children 686 Bay Street Toronto ON M5G 0A4 Canada.,Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children Toronto ON M5G 1X8 Canada
| | - Delaram Dara
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Lauren Katz
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473.,Department of Medical Biophysics, University of Toronto 101 College Street Toronto ON M5G 1L7 Canada
| | - Fowad Daud
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473.,Department of Medical Biophysics, University of Toronto 101 College Street Toronto ON M5G 1L7 Canada
| | - Megan Wu
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children 686 Bay Street Toronto ON M5G 0A4 Canada
| | - Manuela Ventura
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Nicholas Bernards
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Harley Chan
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Inga Fricke
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Mark Zaidi
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Brad G Wouters
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473.,Department of Medical Biophysics, University of Toronto 101 College Street Toronto ON M5G 1L7 Canada
| | - James T Rutka
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children 686 Bay Street Toronto ON M5G 0A4 Canada.,Department of Surgery, University of Toronto 149 College Street Toronto ON M5T 1P5 Canada.,Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children Toronto ON M5G 1X8 Canada
| | - Sunit Das
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children 686 Bay Street Toronto ON M5G 0A4 Canada.,Department of Surgery, University of Toronto 149 College Street Toronto ON M5T 1P5 Canada.,Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children Toronto ON M5G 1X8 Canada
| | - Jonathan Irish
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Robert Weersink
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Howard J Ginsberg
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473.,Department of Surgery, University of Toronto 149 College Street Toronto ON M5T 1P5 Canada.,Keenan Research Center for Biomedical Science, The Li Ka Shing Knowledge Institute, St. Michael's Hospital 30 Bond Street Toronto ON M5B 1W8 Canada
| | - David A Jaffray
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473.,Department of Medical Biophysics, University of Toronto 101 College Street Toronto ON M5G 1L7 Canada
| | - Arash Zarrine-Afsar
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473.,Department of Medical Biophysics, University of Toronto 101 College Street Toronto ON M5G 1L7 Canada.,Department of Surgery, University of Toronto 149 College Street Toronto ON M5T 1P5 Canada.,Keenan Research Center for Biomedical Science, The Li Ka Shing Knowledge Institute, St. Michael's Hospital 30 Bond Street Toronto ON M5B 1W8 Canada
| |
Collapse
|
23
|
The intelligent knife (iKnife) and its intraoperative diagnostic advantage for the treatment of cervical disease. Proc Natl Acad Sci U S A 2020; 117:7338-7346. [PMID: 32179675 PMCID: PMC7132269 DOI: 10.1073/pnas.1916960117] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Clearance of surgical margins in early cervical cancer prevents the need for adjuvant chemoradiation and associated morbidity and allows fertility preservation. Clearance of disease is also crucial in the surgical management of local recurrence of cervical tumors with exenterative surgery. In this study intelligent knife technology was able to discriminate healthy from abnormal lesions on the cervix with high accuracy, highlighting the potential to improve intraoperative management of women treated surgically for cervical cancer and, as a result, patient outcomes. While pilot experiments in vivo are encouraging, accuracy remains to be validated in larger patient cohorts. Future studies could also explore whether this technology could be used for management of cervical preinvasive disease. Clearance of surgical margins in cervical cancer prevents the need for adjuvant chemoradiation and allows fertility preservation. In this study, we determined the capacity of the rapid evaporative ionization mass spectrometry (REIMS), also known as intelligent knife (iKnife), to discriminate between healthy, preinvasive, and invasive cervical tissue. Cervical tissue samples were collected from women with healthy, human papilloma virus (HPV) ± cervical intraepithelial neoplasia (CIN), or cervical cancer. A handheld diathermy device generated surgical aerosol, which was transferred into a mass spectrometer for subsequent chemical analysis. Combination of principal component and linear discriminant analysis and least absolute shrinkage and selection operator was employed to study the spectral differences between groups. Significance of discriminatory m/z features was tested using univariate statistics and tandem MS performed to elucidate the structure of the significant peaks allowing separation of the two classes. We analyzed 87 samples (normal = 16, HPV ± CIN = 50, cancer = 21 patients). The iKnife discriminated with 100% accuracy normal (100%) vs. HPV ± CIN (100%) vs. cancer (100%) when compared to histology as the gold standard. When comparing normal vs. cancer samples, the accuracy was 100% with a sensitivity of 100% (95% CI 83.9 to 100) and specificity 100% (79.4 to 100). Univariate analysis revealed significant MS peaks in the cancer-to-normal separation belonging to various classes of complex lipids. The iKnife discriminates healthy from premalignant and invasive cervical lesions with high accuracy and can improve oncological outcomes and fertility preservation of women treated surgically for cervical cancer. Larger in vivo research cohorts are required to validate these findings.
Collapse
|
24
|
Genangeli M, Heeren RMA, Porta Siegel T. Tissue classification by rapid evaporative ionization mass spectrometry (REIMS): comparison between a diathermic knife and CO 2 laser sampling on classification performance. Anal Bioanal Chem 2019; 411:7943-7955. [PMID: 31713015 PMCID: PMC6920236 DOI: 10.1007/s00216-019-02148-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 09/02/2019] [Accepted: 09/10/2019] [Indexed: 01/29/2023]
Abstract
The increasing need for rapid, in situ, and robust tissue profiling approaches in the context of intraoperative diagnostics has led to the development of a large number of ambient ionization-based surface sampling strategies. This paper compares the performances of a diathermic knife and a CO2 laser handpiece, both clinically approved, coupled to a rapid evaporative ionization mass spectrometry (REIMS) source for quasi-instantaneous tissue classification. Several fresh meat samples (muscle, liver, bone, bone marrow, cartilage, skin, fat) were obtained from different animals. Overall, the laser produced cleaner cuts and more reproducible and higher spectral quality signals when compared with the diathermic knife (CV laser = 9-12%, CV diathermic = 14-23%). The molecular profiles were subsequently entered into a database and PCA/LDA classification/prediction models were built to assess if the data generated with one sampling modality can be employed to classify the data generated with the other handpiece. We demonstrate that the correct classification rate of the models increases (+ 25%) with the introduction of a model based on peak lists that are tissue-specific and common to the two handpieces, compared with considering solely the whole molecular profile. This renders it possible to use a unique and universal database for quasi-instantaneous tissue recognition which would provide similar classification results independent of the handpiece used. Furthermore, the laser was able to generate aerosols rich in lipids from hard tissues such as bone, bone marrow, and cartilage. Combined, these results demonstrate that REIMS is a valuable and versatile tool for instantaneous identification/classification of hard tissue and coupling to different aerosol-generating handpieces expands its field of application. Graphical abstract.
Collapse
Affiliation(s)
- Michele Genangeli
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER, Maastricht, The Netherlands
- School of Pharmacy, Chemistry Unit, University of Camerino, Via S. Agostino 1, 62032, Camerino, MC, Italy
| | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER, Maastricht, The Netherlands
| | - Tiffany Porta Siegel
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER, Maastricht, The Netherlands.
| |
Collapse
|
25
|
Gowers GOF, Cameron SJS, Perdones-Montero A, Bell D, Chee SM, Kern M, Tew D, Ellis T, Takáts Z. Off-Colony Screening of Biosynthetic Libraries by Rapid Laser-Enabled Mass Spectrometry. ACS Synth Biol 2019; 8:2566-2575. [PMID: 31622554 DOI: 10.1021/acssynbio.9b00243] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
By leveraging advances in DNA synthesis and molecular cloning techniques, synthetic biology increasingly makes use of large construct libraries to explore large design spaces. For biosynthetic pathway engineering, the ability to screen these libraries for a variety of metabolites of interest is essential. If the metabolite of interest or the metabolic phenotype is not easily measurable, screening soon becomes a major bottleneck involving time-consuming culturing, sample preparation, and extraction. To address this, we demonstrate the use of automated laser-assisted rapid evaporative ionization mass spectrometry (LA-REIMS)-a form of ambient laser desorption ionization mass spectrometry-to perform rapid mass spectrometry analysis direct from agar plate yeast colonies without sample preparation or extraction. We use LA-REIMS to assess production levels of violacein and betulinic acid directly from yeast colonies at a rate of 6 colonies per minute. We then demonstrate the throughput enabled by LA-REIMS by screening over 450 yeast colonies within <4 h, while simultaneously generating recoverable glycerol stocks of each colony in real time. This showcases LA-REIMS as a prescreening tool to complement downstream quantification methods such as liquid chromatography-mass spectroscopy (LCMS). By prescreening several hundred colonies with LA-REIMS, we successfully isolate and verify a strain with a 2.5-fold improvement in betulinic acid production. Finally, we show that LA-REIMS can detect 20 out of a panel of 27 diverse biological molecules, demonstrating the broad applicability of LA-REIMS to metabolite detection. The rapid and automated nature of LA-REIMS makes this a valuable new technology to complement existing screening technologies currently employed in academic and industrial workflows.
Collapse
Affiliation(s)
- Glen-Oliver F. Gowers
- Imperial College Centre for Synthetic Biology (IC−CSynB), Imperial College London, London SW7 2AZ, United Kingdom
- Department of Bioengineering, 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
- Ambimass, London W12 0BZ, United Kingdom
| | - Alvaro Perdones-Montero
- Section of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, United Kingdom
- Ambimass, London W12 0BZ, United Kingdom
| | - David Bell
- SynbiCITE, Imperial College London, London SW7 2AZ, United Kingdom
| | - Soo Mei Chee
- SynbiCITE, Imperial College London, London SW7 2AZ, United Kingdom
| | - Marcelo Kern
- GlaxoSmithKline, Stevenage SG1 2NY, United Kingdom
| | - David Tew
- GlaxoSmithKline, Stevenage SG1 2NY, United Kingdom
| | - Tom Ellis
- Imperial College Centre for Synthetic Biology (IC−CSynB), Imperial College London, London SW7 2AZ, United Kingdom
- Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
| | - Zoltan Takáts
- Section of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, United Kingdom
- Ambimass, London W12 0BZ, United Kingdom
| |
Collapse
|
26
|
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] [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.
Collapse
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.
| |
Collapse
|
27
|
Zhou W, Hong Y, Huang C, Shen C, Chu Y. Laser Ablation Electrospray Ionization Time-of-Flight Mass Spectrometry for Direct Analysis of Biological Tissue. JOURNAL OF ANALYTICAL METHODS IN CHEMISTRY 2019; 2019:1417035. [PMID: 31772814 PMCID: PMC6854941 DOI: 10.1155/2019/1417035] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 08/19/2019] [Accepted: 10/01/2019] [Indexed: 06/10/2023]
Abstract
Direct analysis and identification of biological tissue is significant for clinical applications. In this study, porcine liver and kidney have been analyzed using laser ablation electrospray ionization time-of-flight mass spectrometry (LAESI-TOFMS). This method showed good reproducibility for the same types of tissue and is capable of distinguishing different tissue species. The margin assessment was also performed using porcine renal tissue, and the response time was less than 6 s. Furthermore, human hepatocarcinoma tissue and normal tissue were identified using this method. Our results indicate that LAESI-TOFMS is a feasible approach for direct identification of tumor tissue and potential for assessment of the resection margin.
Collapse
Affiliation(s)
- Wenzhao Zhou
- Anhui Province Key Laboratory of Medical Physics and Technology, Center of Medical Physics and Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China
| | - Yan Hong
- School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, Anhui 232001, China
| | - Chaoqun Huang
- Anhui Province Key Laboratory of Medical Physics and Technology, Center of Medical Physics and Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China
| | - Chengyin Shen
- Anhui Province Key Laboratory of Medical Physics and Technology, Center of Medical Physics and Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China
| | - Yannan Chu
- Anhui Province Key Laboratory of Medical Physics and Technology, Center of Medical Physics and Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China
| |
Collapse
|
28
|
Sukhikh G, Chagovets V, Wang X, Rodionov V, Kometova V, Tokareva A, Kononikhin A, Starodubtseva N, Chingin K, Chen H, Frankevich V. Combination of Low-Temperature Electrosurgical Unit and Extractive Electrospray Ionization Mass Spectrometry for Molecular Profiling and Classification of Tissues. Molecules 2019; 24:molecules24162957. [PMID: 31443190 PMCID: PMC6720730 DOI: 10.3390/molecules24162957] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 08/07/2019] [Accepted: 08/12/2019] [Indexed: 11/17/2022] Open
Abstract
Real-time molecular navigation of tissue surgeries is an important goal at present. Combination of electrosurgical units and mass spectrometry (MS) to perform accurate molecular visualization of biological tissues has been pursued by many research groups. Determination of molecular tissue composition at a particular location by surgical smoke analysis is now of increasing interest for clinical use. However, molecular analysis of surgical smoke is commonly lacking molecular specificity and is associated with significant carbonization and chemical contamination, which are mainly related to the high temperature of smoke at which many molecules become unstable. Unlike traditional electrosurgical tools, low-temperature electrosurgical units allow tissue dissection without substantial heating. Here, we show that low-temperature electrosurgical units can be used for desorption of molecules from biological tissues without thermal degradation. The use of extractive electrospray ionization technique for the ionization of desorbed molecules allowed us to obtain mass spectra of healthy and pathological tissues with high degree of differentiation. Overall, the data indicate that the described approach has potential for intraoperative use.
Collapse
Affiliation(s)
- Gennady Sukhikh
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of Russian Federation, Moscow 117997, Russia
- Department of Obstetrics, Gynecology, Perinatology and Reproductology, First Moscow State Medical University named after I.M. Sechenov, Moscow 119991, Russia
| | - Vitaliy Chagovets
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of Russian Federation, Moscow 117997, Russia
| | - Xinchen Wang
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, China
| | - Valeriy Rodionov
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of Russian Federation, Moscow 117997, Russia
| | - Vlada Kometova
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of Russian Federation, Moscow 117997, Russia
| | - Alisa Tokareva
- Moscow Institute of Physics and Technology, Moscow 141701, Russia
| | - Alexey Kononikhin
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of Russian Federation, Moscow 117997, Russia
- Moscow Institute of Physics and Technology, Moscow 141701, Russia
| | - Natalia Starodubtseva
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of Russian Federation, Moscow 117997, Russia
- Moscow Institute of Physics and Technology, Moscow 141701, Russia
| | - Konstantin Chingin
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, China
| | - Huanwen Chen
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, China
| | - Vladimir Frankevich
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of Russian Federation, Moscow 117997, Russia.
| |
Collapse
|
29
|
Jones EA, Simon D, Karancsi T, Balog J, Pringle SD, Takats Z. Matrix Assisted Rapid Evaporative Ionization Mass Spectrometry. Anal Chem 2019; 91:9784-9791. [PMID: 31194519 DOI: 10.1021/acs.analchem.9b01441] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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.
Collapse
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
| |
Collapse
|
30
|
Woolman M, Zarrine-Afsar A. Platforms for rapid cancer characterization by ambient mass spectrometry: advancements, challenges and opportunities for improvement towards intrasurgical use. Analyst 2019; 143:2717-2722. [PMID: 29786708 DOI: 10.1039/c8an00310f] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Ambient Mass Spectrometry (MS) analysis is widely used to characterize biological and non-biological samples. Advancements that allow rapid analysis of samples by ambient methods such as Desorption Electrospray Ionization Mass Spectrometry (DESI-MS) and Rapid Evaporative Ionization Mass Spectrometry (REIMS) are discussed. A short, non-comprehensive overview of ambient MS is provided that only contains example applications due to space limitations. A spatially encoded mass spectrometry analysis concept to plan cancer resection is introduced. The application of minimally destructive tissue ablation probes to survey the surgical field for sites of pathology using on-line analysis methods is discussed. The technological challenges that must be overcome for ambient MS to become a robust method for intrasurgical pathology assessments are reviewed.
Collapse
Affiliation(s)
- Michael Woolman
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, ON M5G 1P5, Canada.
| | | |
Collapse
|
31
|
Utilisation of Ambient Laser Desorption Ionisation Mass Spectrometry (ALDI-MS) Improves Lipid-Based Microbial Species Level Identification. Sci Rep 2019; 9:3006. [PMID: 30816263 PMCID: PMC6395639 DOI: 10.1038/s41598-019-39815-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Accepted: 01/30/2019] [Indexed: 02/08/2023] Open
Abstract
The accurate and timely identification of the causative organism of infection is important in ensuring the optimum treatment regimen is prescribed for a patient. Rapid evaporative ionisation mass spectrometry (REIMS), using electrical diathermy for the thermal disruption of a sample, has been shown to provide fast and accurate identification of microorganisms directly from culture. However, this method requires contact to be made between the REIMS probe and microbial biomass; resulting in the necessity to clean or replace the probes between analyses. Here, optimisation and utilisation of ambient laser desorption ionisation (ALDI) for improved speciation accuracy and analytical throughput is shown. Optimisation was completed on 15 isolates of Escherichia coli, showing 5 W in pulsatile mode produced the highest signal-to-noise ratio. These parameters were used in the analysis of 150 clinical isolates from ten microbial species, resulting in a speciation accuracy of 99.4% - higher than all previously reported REIMS modalities. Comparison of spectral data showed high levels of similarity between previously published electrical diathermy REIMS data. ALDI does not require contact to be made with the sample during analysis, meaning analytical throughput can be substantially improved, and further, increases the range of sample types which can be analysed in potential direct-from-sample pathogen detection.
Collapse
|
32
|
Sans M, Zhang J, Lin JQ, Feider CL, Giese N, Breen MT, Sebastian K, Liu J, Sood AK, Eberlin LS. Performance of the MasSpec Pen for Rapid Diagnosis of Ovarian Cancer. Clin Chem 2019; 65:674-683. [PMID: 30770374 DOI: 10.1373/clinchem.2018.299289] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Accepted: 01/22/2019] [Indexed: 11/06/2022]
Abstract
BACKGROUND Accurate tissue diagnosis during ovarian cancer surgery is critical to maximize cancer excision and define treatment options. Yet, current methods for intraoperative tissue evaluation can be time intensive and subjective. We have developed a handheld and biocompatible device coupled to a mass spectrometer, the MasSpec Pen, which uses a discrete water droplet for molecular extraction and rapid tissue diagnosis. Here we evaluated the performance of this technology for ovarian cancer diagnosis across different sample sets, tissue types, and mass spectrometry systems. METHODS MasSpec Pen analyses were performed on 192 ovarian, fallopian tube, and peritoneum tissue samples. Samples were evaluated by expert pathologists to confirm diagnosis. Performance using an Orbitrap and a linear ion trap mass spectrometer was tested. Statistical models were generated using machine learning and evaluated using validation and test sets. RESULTS High performance for high-grade serous carcinoma (n = 131; clinical sensitivity, 96.7%; specificity, 95.7%) and overall cancer (n = 138; clinical sensitivity, 94.0%; specificity, 94.4%) diagnoses was achieved using Orbitrap data. Variations in the mass spectra from normal tissue, low-grade, and high-grade serous ovarian cancers were observed. Discrimination between cancer and fallopian tube or peritoneum tissues was also achieved with accuracies of 92.6% and 87.9%, respectively, and 100% clinical specificity for both. Using ion trap data, excellent results for high-grade serous cancer vs normal ovarian differentiation (n = 40; clinical sensitivity, 100%; specificity, 100%) were obtained. CONCLUSIONS The MasSpec Pen, together with machine learning, provides robust molecular models for ovarian serous cancer prediction and thus has potential for clinical use for rapid and accurate ovarian cancer diagnosis.
Collapse
Affiliation(s)
- Marta Sans
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Jialing Zhang
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - John Q Lin
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Clara L Feider
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Noah Giese
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Michael T Breen
- Department of Women's Health, Dell Medical School, The University of Texas at Austin, Austin, TX
| | - Katherine Sebastian
- Department of Internal Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX
| | - Jinsong Liu
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Anil K Sood
- Department of Gynecologic Oncology and Reproductive Medicine, and the Center for RNA Interference and Non-Coding RNA, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Livia S Eberlin
- Department of Chemistry, The University of Texas at Austin, Austin, TX;
| |
Collapse
|
33
|
Cameron SJ, Takáts Z. Mass spectrometry approaches to metabolic profiling of microbial communities within the human gastrointestinal tract. Methods 2018; 149:13-24. [DOI: 10.1016/j.ymeth.2018.04.027] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 04/05/2018] [Accepted: 04/22/2018] [Indexed: 12/14/2022] Open
|
34
|
Zhang J, Rector J, Lin JQ, Young JH, Sans M, Katta N, Giese N, Yu W, Nagi C, Suliburk J, Liu J, Bensussan A, DeHoog RJ, Garza KY, Ludolph B, Sorace AG, Syed A, Zahedivash A, Milner TE, Eberlin LS. Nondestructive tissue analysis for ex vivo and in vivo cancer diagnosis using a handheld mass spectrometry system. Sci Transl Med 2018; 9:9/406/eaan3968. [PMID: 28878011 DOI: 10.1126/scitranslmed.aan3968] [Citation(s) in RCA: 243] [Impact Index Per Article: 40.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Accepted: 08/17/2017] [Indexed: 12/13/2022]
Abstract
Conventional methods for histopathologic tissue diagnosis are labor- and time-intensive and can delay decision-making during diagnostic and therapeutic procedures. We report the development of an automated and biocompatible handheld mass spectrometry device for rapid and nondestructive diagnosis of human cancer tissues. The device, named MasSpec Pen, enables controlled and automated delivery of a discrete water droplet to a tissue surface for efficient extraction of biomolecules. We used the MasSpec Pen for ex vivo molecular analysis of 20 human cancer thin tissue sections and 253 human patient tissue samples including normal and cancerous tissues from breast, lung, thyroid, and ovary. The mass spectra obtained presented rich molecular profiles characterized by a variety of potential cancer biomarkers identified as metabolites, lipids, and proteins. Statistical classifiers built from the histologically validated molecular database allowed cancer prediction with high sensitivity (96.4%), specificity (96.2%), and overall accuracy (96.3%), as well as prediction of benign and malignant thyroid tumors and different histologic subtypes of lung cancer. Notably, our classifier allowed accurate diagnosis of cancer in marginal tumor regions presenting mixed histologic composition. Last, we demonstrate that the MasSpec Pen is suited for in vivo cancer diagnosis during surgery performed in tumor-bearing mouse models, without causing any observable tissue harm or stress to the animal. Our results provide evidence that the MasSpec Pen could potentially be used as a clinical and intraoperative technology for ex vivo and in vivo cancer diagnosis.
Collapse
Affiliation(s)
- Jialing Zhang
- Department of Chemistry, University of Texas at Austin, Austin, TX 78712, USA
| | - John Rector
- Department of Chemistry, University of Texas at Austin, Austin, TX 78712, USA.,Department of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA
| | - John Q Lin
- Department of Chemistry, University of Texas at Austin, Austin, TX 78712, USA
| | - Jonathan H Young
- Department of Chemistry, University of Texas at Austin, Austin, TX 78712, USA
| | - Marta Sans
- Department of Chemistry, University of Texas at Austin, Austin, TX 78712, USA
| | - Nitesh Katta
- Department of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA
| | - Noah Giese
- Department of Chemistry, University of Texas at Austin, Austin, TX 78712, USA
| | - Wendong Yu
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Chandandeep Nagi
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX 77030, USA
| | - James Suliburk
- Department of Surgery, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jinsong Liu
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alena Bensussan
- Department of Chemistry, University of Texas at Austin, Austin, TX 78712, USA
| | - Rachel J DeHoog
- Department of Chemistry, University of Texas at Austin, Austin, TX 78712, USA
| | - Kyana Y Garza
- Department of Chemistry, University of Texas at Austin, Austin, TX 78712, USA
| | - Benjamin Ludolph
- Department of Chemistry, University of Texas at Austin, Austin, TX 78712, USA
| | - Anna G Sorace
- Department of Internal Medicine, Dell Medical School, University of Texas at Austin, Austin, TX 78712, USA
| | - Anum Syed
- Department of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA
| | - Aydin Zahedivash
- Department of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA
| | - Thomas E Milner
- Department of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA
| | - Livia S Eberlin
- Department of Chemistry, University of Texas at Austin, Austin, TX 78712, USA.
| |
Collapse
|
35
|
Osman H, Georges J, Elsahy D, Hattab EM, Yocom S, Cohen-Gadol AA. In Vivo Microscopy in Neurosurgical Oncology. World Neurosurg 2018; 115:110-127. [PMID: 29653276 DOI: 10.1016/j.wneu.2018.03.218] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 03/29/2018] [Accepted: 03/30/2018] [Indexed: 10/17/2022]
Abstract
Intraoperative neurosurgical histopathologic diagnoses rely on evaluation of rapid tissue preparations such as frozen sections and smears with conventional light microscopy. Although useful, these techniques are time consuming and therefore cannot provide real-time intraoperative feedback. In vivo molecular imaging techniques are emerging as novel methods for generating real-time diagnostic histopathologic images of tumors and their surrounding tissues. These imaging techniques rely on contrast generated by exogenous fluorescent dyes, autofluorescence of endogenous molecules, fluorescence decay of excited molecules, or light scattering. Large molecular imaging instruments are being miniaturized for clinical in vivo use. This review discusses pertinent imaging systems that have been developed for neurosurgical use and imaging techniques currently under development for neurosurgical molecular imaging.
Collapse
Affiliation(s)
- Hany Osman
- Massachusetts General Hospital and Harvard Medical School, Wellman Center for Photomedicine, Boston, Massachusetts, USA
| | - Joseph Georges
- Philadelphia College of Osteopathic Medicine, Department of Neurosurgery, Philadelphia, Pennsylvania, USA
| | - Deena Elsahy
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Eyas M Hattab
- University of Louisville, Department of Pathology and Laboratory Medicine, Louisville, Kentucky, USA
| | - Steven Yocom
- Philadelphia College of Osteopathic Medicine, Department of Neurosurgery, Philadelphia, Pennsylvania, USA
| | - Aaron A Cohen-Gadol
- Goodman Campbell Brain and Spine and Indiana University Department of Neurological Surgery, Indianapolis, Indiana, USA.
| |
Collapse
|
36
|
Cahill JF, Kertesz V, Porta T, LeBlanc JCY, Heeren RMA, Van Berkel GJ. Solvent effects on differentiation of mouse brain tissue using laser microdissection 'cut and drop' sampling with direct mass spectral analysis. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2018; 32:414-422. [PMID: 29297944 DOI: 10.1002/rcm.8053] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 12/07/2017] [Accepted: 12/14/2017] [Indexed: 05/12/2023]
Abstract
RATIONALE Laser microdissection-liquid vortex capture/electrospray ionization mass spectrometry (LMD-LVC/ESI-MS) has potential for on-line classification of tissue but an investigation into what analytical conditions provide best spectral differentiation has not been conducted. The effects of solvent, ionization polarity, and spectral acquisition parameters on differentiation of mouse brain tissue regions are described. METHODS Individual 40 × 40 μm microdissections from cortex, white, grey, granular, and nucleus regions of mouse brain tissue were analyzed using different capture/ESI solvents, in positive and negative ion mode ESI, using time-of-flight (TOF)-MS and sequential window acquisitions of all theoretical spectra (SWATH)-MS (a permutation of tandem-MS), and combinations thereof. Principal component analysis-linear discriminant analysis (PCA-LDA), applied to each mass spectral dataset, was used to determine the accuracy of differentiation of mouse brain tissue regions. RESULTS Mass spectral differences associated with capture/ESI solvent composition manifested as altered relative distributions of ions rather than the presence or absence of unique ions. In negative ion mode ESI, 80/20 (v/v) methanol/water yielded spectra with low signal/noise ratios relative to other solvents. PCA-LDA models acquired using 90/10 (v/v) methanol/chloroform differentiated tissue regions with 100% accuracy while data collected using methanol misclassified some samples. The combination of SWATH-MS and TOF-MS data improved differentiation accuracy. CONCLUSIONS Combined TOF-MS and SWATH-MS data differentiated white, grey, granular, and nucleus mouse tissue regions with greater accuracy than when solely using TOF-MS data. Using 90/10 (v/v) methanol/chloroform, tissue regions were perfectly differentiated. These results will guide future studies looking to utilize the potential of LMD-LVC/ESI-MS for tissue and disease differentiation.
Collapse
Affiliation(s)
- John F Cahill
- Mass Spectrometry and Laser Spectroscopy Group, Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831-6131, USA
| | - Vilmos Kertesz
- Mass Spectrometry and Laser Spectroscopy Group, Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831-6131, USA
| | - Tiffany Porta
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229, ER, Maastricht, The Netherlands
| | | | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229, ER, Maastricht, The Netherlands
| | - Gary J Van Berkel
- Mass Spectrometry and Laser Spectroscopy Group, Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831-6131, USA
| |
Collapse
|
37
|
Kim JY, Seo ES, Lim HJ, Kim H, Park JW, Shin HH, Lim DK, Moon DW. Nanomaterials and continuous wave laser-based efficient desorption for atmospheric pressure mass spectrometric imaging of live hippocampal tissue slices. RSC Adv 2018; 8:8021-8025. [PMID: 35541999 PMCID: PMC9078475 DOI: 10.1039/c8ra00038g] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Accepted: 02/12/2018] [Indexed: 02/04/2023] Open
Abstract
Micrometer-resolution mass spectrometric imaging of live hippocampal tissue is achieved with a highly efficient desorption of biomolecules using a 532 nm continuous wave laser and gold nanoparticles or graphene oxide as an energy transporter, which enables clear identification of the distributions of monoacylglycerol, adenine, cholesterol, sphingosine and ceramide. Micrometer-resolution mass spectrometric imaging of live hippocampal tissue is achieved with a highly efficient desorption of biomolecules using a 532 nm continuous wave laser and gold nanoparticles or graphene oxide as an energy transporter.![]()
Collapse
Affiliation(s)
- Jae Young Kim
- Department of New Biology
- Daegu Gyeongbuk Institute of Science and Technology (DGIST)
- Daegu
- Republic of Korea
| | - Eun Seok Seo
- Department of New Biology
- Daegu Gyeongbuk Institute of Science and Technology (DGIST)
- Daegu
- Republic of Korea
| | - Hee Jin Lim
- Department of New Biology
- Daegu Gyeongbuk Institute of Science and Technology (DGIST)
- Daegu
- Republic of Korea
| | - Hyunmin Kim
- Companion Diagnostics and Medical Technology Research Group
- Daegu Gyeongbuk Institute of Science and Technology (DGIST)
- Daegu
- Republic of Korea
| | - Ji-Won Park
- Graduate School of Analytical Science and Technology (GRAST)
- Chungnam National University
- Daejeon
- Republic of Korea
| | - Hyeon Ho Shin
- KU-KIST Graduate School of Converging Science and Technology
- Korea University
- Seoul
- Republic of Korea
| | - Dong-Kwon Lim
- KU-KIST Graduate School of Converging Science and Technology
- Korea University
- Seoul
- Republic of Korea
| | - Dae Won Moon
- Department of New Biology
- Daegu Gyeongbuk Institute of Science and Technology (DGIST)
- Daegu
- Republic of Korea
| |
Collapse
|
38
|
Sarode GS, Choudhary N, Sarode SC, Patil S. Is the Pen really Mightier than the Scalpel? J Contemp Dent Pract 2017; 18:987-988. [PMID: 29109307 DOI: 10.5005/jp-journals-10024-2161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
One of the most crucial aspects of cancer diagnosis and treatment is to determine the thin boundary between lesional and normal tissues. So it is important to assess an accurate negative margin and to completely excise the tumor for a prolonged disease-free state and increase the overall survival of the patient.
Collapse
Affiliation(s)
- Gargi S Sarode
- Department of Oral Pathology and Microbiology, Dr. D. Y. Patil Dental College and Hospital, Dr. D. Y. Patil Vidyapeeth, Pune Maharashtra, India, Phone: +919823871462, e-mail:
| | - Nilookumari Choudhary
- Department of Oral Pathology and Microbiology, Dr. D. Y. Patil Dental College and Hospital, Dr. D. Y. Patil Vidyapeeth, Pune Maharashtra, India
| | - Sachin C Sarode
- Department of Oral Pathology and Microbiology, Dr. D. Y. Patil Dental College and Hospital, Dr. D. Y. Patil Vidyapeeth, Pune Maharashtra, India
| | - Shankargouda Patil
- Department of Diagnostic Sciences, Division of Oral Pathology College of Dentistry, Jazan University, Jazan, Kingdom of Saudi Arabia
| |
Collapse
|
39
|
Woolman M, Ferry I, Kuzan-Fischer CM, Wu M, Zou J, Kiyota T, Isik S, Dara D, Aman A, Das S, Taylor MD, Rutka JT, Ginsberg HJ, Zarrine-Afsar A. Rapid determination of medulloblastoma subgroup affiliation with mass spectrometry using a handheld picosecond infrared laser desorption probe. Chem Sci 2017; 8:6508-6519. [PMID: 28989676 PMCID: PMC5628578 DOI: 10.1039/c7sc01974b] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Accepted: 07/21/2017] [Indexed: 12/25/2022] Open
Abstract
Medulloblastoma (MB), the most prevalent malignant childhood brain tumour, consists of at least 4 distinct subgroups each of which possesses a unique survival rate and response to treatment. To rapidly determine MB subgroup affiliation in a manner that would be actionable during surgery, we subjected murine xenograft tumours of two MB subgroups (SHH and Group 3) to Mass Spectrometry (MS) profiling using a handheld Picosecond InfraRed Laser (PIRL) desorption probe and interface developed by our group. This platform provides real time MS profiles of tissue based on laser desorbed lipids and small molecules with only 5-10 seconds of sampling. PIRL-MS analysis of ex vivo MB tumours offered a 98% success rate in subgroup determination, observed over 194 PIRL-MS datasets collected from 19 independent tumours (∼10 repetitions each) utilizing 6 different established MB cell lines. Robustness was verified by a 5%-leave-out-and-remodel test. PIRL ablated tissue material was collected on a filter paper and subjected to high resolution LC-MS to provide ion identity assignments for the m/z values that contribute most to the statistical discrimination between SHH and Group 3 MB. Based on this analysis, rapid classification of MB with PIRL-MS utilizes a variety of fatty acid chains, glycerophosphates, glycerophosphoglycerols and glycerophosphocholines rapidly extracted from the tumours. In this work, we provide evidence that 5-10 seconds of sampling from ex vivo MB tissue with PIRL-MS can allow robust tumour subgroup classification, and have identified several biomarker ions responsible for the statistical discrimination of MB Group 3 and the SHH subgroup. The existing PIRL-MS platform used herein offers capabilities for future in vivo use.
Collapse
Affiliation(s)
- Michael Woolman
- Techna Institute for the Advancement of Technology for Health , University Health Network , 100 College Street , Toronto , ON M5G 1P5 , Canada .
- Department of Medical Biophysics , University of Toronto , 101 College Street , Toronto , ON M5G 1L7 , Canada
| | - Isabelle Ferry
- Peter Gilgan Centre for Research and Learning , Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , Canada
- Arthur and Sonia Labatt Brain Tumor Research Centre , The Hospital for Sick Children , Toronto , ON M5G 1X8 , Canada
- Developmental & Stem Cell Biology Program , The Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , Canada
| | - Claudia M Kuzan-Fischer
- Peter Gilgan Centre for Research and Learning , Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , Canada
- Arthur and Sonia Labatt Brain Tumor Research Centre , The Hospital for Sick Children , Toronto , ON M5G 1X8 , Canada
- Developmental & Stem Cell Biology Program , The Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , Canada
| | - Megan Wu
- Peter Gilgan Centre for Research and Learning , Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , Canada
- Arthur and Sonia Labatt Brain Tumor Research Centre , The Hospital for Sick Children , Toronto , ON M5G 1X8 , Canada
- Developmental & Stem Cell Biology Program , The Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , Canada
| | - Jing Zou
- Techna Institute for the Advancement of Technology for Health , University Health Network , 100 College Street , Toronto , ON M5G 1P5 , Canada .
| | - Taira Kiyota
- Drug Discovery Program , Ontario Institute for Cancer Research , 661 University Avenue , Toronto , ON M5G 0A3 , Canada
| | - Semra Isik
- Peter Gilgan Centre for Research and Learning , Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , Canada
| | - Delaram Dara
- Techna Institute for the Advancement of Technology for Health , University Health Network , 100 College Street , Toronto , ON M5G 1P5 , Canada .
| | - Ahmed Aman
- Drug Discovery Program , Ontario Institute for Cancer Research , 661 University Avenue , Toronto , ON M5G 0A3 , Canada
| | - Sunit Das
- Peter Gilgan Centre for Research and Learning , Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , Canada
- Department of Surgery , University of Toronto , 149 College Street , Toronto , ON M5T 1P5 , Canada
- Keenan Research Center for Biomedical Science , The Li Ka Shing Knowledge Institute , St. Michael's Hospital , 30 Bond Street , Toronto , ON M5B 1W8 , Canada
| | - Michael D Taylor
- Peter Gilgan Centre for Research and Learning , Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , Canada
- Department of Surgery , University of Toronto , 149 College Street , Toronto , ON M5T 1P5 , Canada
- Arthur and Sonia Labatt Brain Tumor Research Centre , The Hospital for Sick Children , Toronto , ON M5G 1X8 , Canada
- Developmental & Stem Cell Biology Program , The Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , Canada
| | - James T Rutka
- Peter Gilgan Centre for Research and Learning , Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , Canada
- Department of Surgery , University of Toronto , 149 College Street , Toronto , ON M5T 1P5 , Canada
- Arthur and Sonia Labatt Brain Tumor Research Centre , The Hospital for Sick Children , Toronto , ON M5G 1X8 , Canada
| | - Howard J Ginsberg
- Techna Institute for the Advancement of Technology for Health , University Health Network , 100 College Street , Toronto , ON M5G 1P5 , Canada .
- Department of Surgery , University of Toronto , 149 College Street , Toronto , ON M5T 1P5 , Canada
- Keenan Research Center for Biomedical Science , The Li Ka Shing Knowledge Institute , St. Michael's Hospital , 30 Bond Street , Toronto , ON M5B 1W8 , Canada
- Institute of Biomaterials and Biomedical Engineering , University of Toronto , 164 College Street , Toronto , ON M5S 3G9 , Canada
| | - Arash Zarrine-Afsar
- Techna Institute for the Advancement of Technology for Health , University Health Network , 100 College Street , Toronto , ON M5G 1P5 , Canada .
- Department of Medical Biophysics , University of Toronto , 101 College Street , Toronto , ON M5G 1L7 , Canada
- Department of Surgery , University of Toronto , 149 College Street , Toronto , ON M5T 1P5 , Canada
- Keenan Research Center for Biomedical Science , The Li Ka Shing Knowledge Institute , St. Michael's Hospital , 30 Bond Street , Toronto , ON M5B 1W8 , Canada
| |
Collapse
|
40
|
Abstract
Since the introduction of desorption electrospray ionization (DESI) mass spectrometry (MS), ambient MS methods have seen increased use in a variety of fields from health to food science. Increasing its popularity in metabolomics, ambient MS offers limited sample preparation, rapid and direct analysis of liquids, solids, and gases, in situ and in vivo analysis, and imaging. The metabolome consists of a constantly changing collection of small (<1.5 kDa) molecules. These include endogenous molecules that are part of primary metabolism pathways, secondary metabolites with specific functions such as signaling, chemicals incorporated in the diet or resulting from environmental exposures, and metabolites associated with the microbiome. Characterization of the responsive changes of this molecule cohort is the principal goal of any metabolomics study. With adjustments to experimental parameters, metabolites with a range of chemical and physical properties can be selectively desorbed and ionized and subsequently analyzed with increased speed and sensitivity. This review covers the broad applications of a variety of ambient MS techniques in four primary fields in which metabolomics is commonly employed.
Collapse
Affiliation(s)
- Chaevien S. Clendinen
- School of Chemistry and Biochemistry & Petit Institute for Bioengineering & Bioscience (IBB), Georgia Institute of Technology, 901 Atlantic Drive NW. Atlanta, GA
| | - María Eugenia Monge
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD, Ciudad de Buenos Aires, Argentina
| | - Facundo M. Fernández
- School of Chemistry and Biochemistry & Petit Institute for Bioengineering & Bioscience (IBB), Georgia Institute of Technology, 901 Atlantic Drive NW. Atlanta, GA
| |
Collapse
|
41
|
Woolman M, Gribble A, Bluemke E, Zou J, Ventura M, Bernards N, Wu M, Ginsberg HJ, Das S, Vitkin A, Zarrine-Afsar A. Optimized Mass Spectrometry Analysis Workflow with Polarimetric Guidance for ex vivo and in situ Sampling of Biological Tissues. Sci Rep 2017; 7:468. [PMID: 28352074 PMCID: PMC5428042 DOI: 10.1038/s41598-017-00272-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Accepted: 02/14/2017] [Indexed: 02/02/2023] Open
Abstract
Spatially Targeted Mass Spectrometry (MS) analysis using survey scans with an imaging modality often requires consecutive tissue slices, because of the tissue damage during survey scan or due to incompatible sample preparation requirements between the survey modality and MS. We report two spatially targeted MS analysis workflows based on polarized light imaging guidance that use the same tissue sample for survey and targeted analysis. The first workflow is applicable for thin-slice analysis, and uses transmission-polarimetry-guided Desorption ElectroSpray Ionization Mass Spectrometry (DESI-MS), and confirmatory H&E histopathology analysis on the same slice; this is validated using quantitative digital pathology methods. The second workflow explores a polarimetry-guided MS platform for thick tissue assessment by developing reflection-mode polarimetric imaging coupled with a hand-held Picosecond InfraRed Laser (PIRL) MS ablation probe that requires minimal tissue removal to produce detectable signal. Tissue differentiation within 5–10 s of sampling with the hand-held probe is shown using multivariate statistical methods of the MS profiles. Both workflows were tasked with differentiating necrotic cancer sites from viable cancers using a breast tumour model, and their performance was evaluated. The use of the same tissue surface addresses mismatches in guidance due to intrinsic changes in tissue morphology over consecutive sections.
Collapse
Affiliation(s)
- Michael Woolman
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada.,Department of Medical Biophysics, University of Toronto, 101 College Street Suite 15-701, Toronto, ON, M5G 1L7, Canada
| | - Adam Gribble
- Department of Medical Biophysics, University of Toronto, 101 College Street Suite 15-701, Toronto, ON, M5G 1L7, Canada
| | - Emma Bluemke
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada
| | - Jing Zou
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada
| | - Manuela Ventura
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada
| | - Nicholas Bernards
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada
| | - Megan Wu
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children, 686 Bay Street, Toronto, ON, M5G-0A4, Canada
| | - Howard J Ginsberg
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada.,Department of Surgery, University of Toronto, 149 College Street, Toronto, ON, M5T-1P5, Canada.,Keenan Research Center for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B-1W8, Canada.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, 164 College Street, Toronto, ON, M5S 3G9, Canada
| | - Sunit Das
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children, 686 Bay Street, Toronto, ON, M5G-0A4, Canada.,Department of Surgery, University of Toronto, 149 College Street, Toronto, ON, M5T-1P5, Canada.,Keenan Research Center for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B-1W8, Canada
| | - Alex Vitkin
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children, 686 Bay Street, Toronto, ON, M5G-0A4, Canada.,Department of Radiation Oncology, University of Toronto, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada.,Division of Biophysics and Bioimaging, Ontario Cancer Institute, University Health Network, 610 University Ave, Toronto, ON, M5G 2M9, Canada
| | - Arash Zarrine-Afsar
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada. .,Department of Medical Biophysics, University of Toronto, 101 College Street Suite 15-701, Toronto, ON, M5G 1L7, Canada. .,Department of Surgery, University of Toronto, 149 College Street, Toronto, ON, M5T-1P5, Canada. .,Keenan Research Center for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B-1W8, Canada.
| |
Collapse
|
42
|
Abstract
Ambient ionization mass spectrometry was developed as a sample preparation-free alternative to traditional MS-based workflows. Desorption electrospray ionization (DESI)-MS methods were demonstrated to allow the direct analysis of a broad range of samples including unaltered biological tissue specimens. In contrast to this advantageous feature, nowadays DESI-MS is almost exclusively used for sample preparation intensive mass spectrometric imaging (MSI) in the area of cancer research. As an alternative to MALDI, DESI-MSI offers matrix deposition-free experiment with improved signal in the lower (<500m/z) range. DESI-MSI enables the spatial mapping of tumor metabolism and has been broadly demonstrated to offer an alternative to frozen section histology for intraoperative tissue identification and surgical margin assessment. Rapid evaporative ionization mass spectrometry (REIMS) was developed exclusively for the latter purpose by the direct combination of electrosurgical devices and mass spectrometry. In case of the REIMS technology, aerosol particles produced by electrosurgical dissection are subjected to MS analysis, providing spectral information on the structural lipid composition of tissues. REIMS technology was demonstrated to give real-time information on the histological nature of tissues being dissected, deeming it an ideal tool for intraoperative tissue identification including surgical margin control. More recently, the method has also been used for the rapid lipidomic phenotyping of cancer cell lines as it was demonstrated in case of the NCI-60 cell line collection.
Collapse
Affiliation(s)
- Z Takats
- Imperial College London, London, United Kingdom.
| | - N Strittmatter
- Drug Safety and Metabolism, AstraZeneca, Cambridge, United Kingdom
| | | |
Collapse
|
43
|
Huang KT, Ludy S, Calligaris D, Dunn IF, Laws E, Santagata S, Agar NYR. Rapid Mass Spectrometry Imaging to Assess the Biochemical Profile of Pituitary Tissue for Potential Intraoperative Usage. Adv Cancer Res 2016; 134:257-282. [PMID: 28110653 DOI: 10.1016/bs.acr.2016.11.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Pituitary adenomas are relatively common intracranial neoplasms that are frequently treated with surgical resection. Rapid visualization of pituitary tissue remains a challenge as current techniques either produce little to no information on hormone-secreting function or are too slow to practically aid in intraoperative or even perioperative decision-making. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) represents a powerful method by which molecular maps of tissue samples can be created, yielding a two-dimensional representation of the expression patterns of small molecules and proteins from biologic samples. In this chapter, we review the use of MALDI MSI, its application to the characterization of the pituitary gland, and its potential applications for guiding the management of pituitary adenomas.
Collapse
Affiliation(s)
- K T Huang
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - S Ludy
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - D Calligaris
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - I F Dunn
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - E Laws
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - S Santagata
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States
| | - N Y R Agar
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States.
| |
Collapse
|
44
|
|
45
|
Timms JF, Hale OJ, Cramer R. Advances in mass spectrometry-based cancer research and analysis: from cancer proteomics to clinical diagnostics. Expert Rev Proteomics 2016; 13:593-607. [DOI: 10.1080/14789450.2016.1182431] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
46
|
Ifa DR, Eberlin LS. Ambient Ionization Mass Spectrometry for Cancer Diagnosis and Surgical Margin Evaluation. Clin Chem 2015; 62:111-23. [PMID: 26555455 DOI: 10.1373/clinchem.2014.237172] [Citation(s) in RCA: 124] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Accepted: 09/28/2015] [Indexed: 01/12/2023]
Abstract
BACKGROUND There is a clinical need for new technologies that would enable rapid disease diagnosis based on diagnostic molecular signatures. Ambient ionization mass spectrometry has revolutionized the means by which molecular information can be obtained from tissue samples in real time and with minimal sample pretreatment. New developments in ambient ionization techniques applied to clinical research suggest that ambient ionization mass spectrometry will soon become a routine medical tool for tissue diagnosis. CONTENT This review summarizes the main developments in ambient ionization techniques applied to tissue analysis, with focus on desorption electrospray ionization mass spectrometry, probe electrospray ionization, touch spray, and rapid evaporative ionization mass spectrometry. We describe their applications to human cancer research and surgical margin evaluation, highlighting integrated approaches tested for ex vivo and in vivo human cancer tissue analysis. We also discuss the challenges for clinical implementation of these tools and offer perspectives on the future of the field. SUMMARY A variety of studies have showcased the value of ambient ionization mass spectrometry for rapid and accurate cancer diagnosis. Small molecules have been identified as potential diagnostic biomarkers, including metabolites, fatty acids, and glycerophospholipids. Statistical analysis allows tissue discrimination with high accuracy rates (>95%) being common. This young field has challenges to overcome before it is ready to be broadly accepted as a medical tool for cancer diagnosis. Growing research in new, integrated ambient ionization mass spectrometry technologies and the ongoing improvements in the existing tools make this field very promising for future translation into the clinic.
Collapse
Affiliation(s)
- Demian R Ifa
- Department of Chemistry, York University, Toronto, ON, Canada
| | - Livia S Eberlin
- Department of Chemistry, The University of Texas at Austin, Austin, TX.
| |
Collapse
|
47
|
Tissue spray ionization mass spectrometry for rapid recognition of human lung squamous cell carcinoma. Sci Rep 2015; 5:10077. [PMID: 25961911 PMCID: PMC4426755 DOI: 10.1038/srep10077] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2014] [Accepted: 03/27/2015] [Indexed: 01/24/2023] Open
Abstract
Tissue spray ionization mass spectrometry (TSI-MS) directly on small tissue samples has been shown to provide highly specific molecular information. In this study, we apply this method to the analysis of 38 pairs of human lung squamous cell carcinoma tissue (cancer) and adjacent normal lung tissue (normal). The main components of pulmonary surfactants, dipalmitoyl phosphatidylcholine (DPPC, m/z 757.47), phosphatidylcholine (POPC, m/z 782.52), oleoyl phosphatidylcholine (DOPC, m/z 808.49), and arachidonic acid stearoyl phosphatidylcholine (SAPC, m/z 832.43), were identified using high-resolution tandem mass spectrometry. Monte Carlo sampling partial least squares linear discriminant analysis (PLS-LDA) was used to distinguish full-mass-range mass spectra of cancer samples from the mass spectra of normal tissues. With 5 principal components and 30-40 Monte Carlo samplings, the accuracy of cancer identification in matched tissue samples reached 94.42%. Classification of a tissue sample required less than 1 min, which is much faster than the analysis of frozen sections. The rapid, in situ diagnosis with minimal sample consumption provided by TSI-MS is advantageous for surgeons. TSI-MS allows them to make more informed decisions during surgery.
Collapse
|
48
|
Huang J, Gao Y, Zhuo H, Zhang J, Ma X. Can ionization mass spectrometry coupled with ultrasonic scalpel a fine detection method for intraoperative pathological analysis? Med Hypotheses 2015; 84:509-10. [DOI: 10.1016/j.mehy.2015.02.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2014] [Accepted: 02/20/2015] [Indexed: 01/28/2023]
|
49
|
Affiliation(s)
- Bernhard Spengler
- Justus Liebig University Giessen, Institute of Inorganic and Analytical
Chemistry, Schubertstrasse
60, Building 16, 35392 Giessen, Germany
| |
Collapse
|
50
|
Adaway JE, Keevil BG, Owen LJ. Liquid chromatography tandem mass spectrometry in the clinical laboratory. Ann Clin Biochem 2014; 52:18-38. [DOI: 10.1177/0004563214557678] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Clinical laboratory medicine has seen the introduction and evolution of liquid chromatography tandem mass spectrometry in routine clinical laboratories over the last 10–15 years. There still exists a wide diversity of assays from very esoteric and highly specialist manual assays to more simplified kit-based assays. The technology is not static as manufacturers are continually making improvements. Mass spectrometry is now commonly used in several areas of diagnostics including therapeutic drug monitoring, toxicology, endocrinology, paediatrics and microbiology. Some of the most high throughput analyses or common analytes include vitamin D, immunosuppressant monitoring, androgen measurement and newborn screening. It also offers flexibility for the measurement of analytes in a variety of different matrices which would prove difficult with immunoassays. Unlike immunoassays or high-pressure liquid chromatography assays using ultraviolet or fluorescence detection, mass spectrometry offers better specificity and reduced interferences if attention is paid to potential isobaric compounds. Furthermore, multiplexing, which enables multiple analytes to be measured with the same volume of serum is advantageous, and the requirement for large sample volumes is decreasing as instrument sensitivity increases. There are many emerging applications in the literature. Using mass spectrometry to identify novel isoforms or modified peptides is possible as is quantification of proteins and peptides, with or without protein digests. Future developments by the manufacturers may also include mechanisms to improve the throughput of samples and strategies to decrease the level of skill required by the operators.
Collapse
Affiliation(s)
- Joanne E Adaway
- Biochemistry Department, University Hospital of South Manchester, Manchester, UK
- Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Brian G Keevil
- Biochemistry Department, University Hospital of South Manchester, Manchester, UK
- Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Laura J Owen
- Biochemistry Department, University Hospital of South Manchester, Manchester, UK
- Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| |
Collapse
|