1
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Ogrinc N, Caux PD, Robin YM, Bouchaert E, Fatou B, Ziskind M, Focsa C, Bertin D, Tierny D, Takats Z, Salzet M, Fournier I. Direct Water-Assisted Laser Desorption/Ionization Mass Spectrometry Lipidomic Analysis and Classification of Formalin-Fixed Paraffin-Embedded Sarcoma Tissues without Dewaxing. Clin Chem 2021; 67:1513-1523. [PMID: 34586394 DOI: 10.1093/clinchem/hvab160] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 07/26/2021] [Indexed: 11/13/2022]
Abstract
BACKGROUND Formalin-fixed paraffin-embedded (FFPE) tissue has been the gold standard for routine pathology for general and cancer postoperative diagnostics. Despite robust histopathology, immunohistochemistry, and molecular methods, accurate diagnosis remains difficult for certain cases. Overall, the entire process can be time consuming, labor intensive, and does not reach over 90% diagnostic sensitivity and specificity. There is a growing need in onco-pathology for adjunct novel rapid, accurate, reliable, diagnostically sensitive, and specific methods for high-throughput biomolecular identification. Lipids have long been considered only as building blocks of cell membranes or signaling molecules, but have recently been introduced as central players in cancer. Due to sample processing, which limits their detection, lipid analysis directly from unprocessed FFPE tissues has never been reported. METHODS We present a proof-of-concept with direct analysis of tissue-lipidomic signatures from FFPE tissues without dewaxing and minimal sample preparation using water-assisted laser desorption ionization mass spectrometry and deep-learning. RESULTS On a cohort of difficult canine and human sarcoma cases, classification for canine sarcoma subtyping was possible with 99.1% accuracy using "5-fold" and 98.5% using "leave-one-patient out," and 91.2% accuracy for human sarcoma using 5-fold and 73.8% using leave-one-patient out. The developed classification model enabled stratification of blind samples in <5 min and showed >95% probability for discriminating 2 human sarcoma blind samples. CONCLUSION It is possible to create a rapid diagnostic platform to screen clinical FFPE tissues with minimal sample preparation for molecular pathology.
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Affiliation(s)
- Nina Ogrinc
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, France
| | - Pierre-Damien Caux
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, France
| | - Yves-Marie Robin
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, France.,Unité de Pathologie Morphologique et Moléculaire, Centre Oscar Lambret, Lille, France
| | - Emmanuel Bouchaert
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, France.,OCR (Oncovet Clinical Research), Parc Eurasante Lille Metropole, Loos, France
| | - Benoit Fatou
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, France
| | - Michael Ziskind
- University of Lille, CNRS, UMR 8523, PhLAM-Physique des Lasers, Atomes et Molécules, Lille, France
| | - Cristian Focsa
- University of Lille, CNRS, UMR 8523, PhLAM-Physique des Lasers, Atomes et Molécules, Lille, France
| | - Delphine Bertin
- Unité de Pathologie Morphologique et Moléculaire, Centre Oscar Lambret, Lille, France
| | - Dominique Tierny
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, France.,OCR (Oncovet Clinical Research), Parc Eurasante Lille Metropole, Loos, France
| | - Zoltan Takats
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, France
| | - Michel Salzet
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, 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, Lille, France.,Institut Universitaire de France (IUF), Paris, France
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2
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Merdas M, Lagarrigue M, Vanbellingen Q, Umbdenstock T, Da Violante G, Pineau C. On-tissue chemical derivatization reagents for matrix-assisted laser desorption/ionization mass spectrometry imaging. JOURNAL OF MASS SPECTROMETRY : JMS 2021; 56:e4731. [PMID: 34080257 DOI: 10.1002/jms.4731] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 03/26/2021] [Accepted: 04/13/2021] [Indexed: 05/27/2023]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) is a key tool for the analysis of biological tissues. It provides spatial and quantitative information about different types of analytes within tissue sections. Despite the increasing improvements of this technique, the low detection sensitivity of some compounds remains an important challenge to overcome. Poor sensitivity is related to weak ionization efficiency, low abundance of analytes and matrix ions, or endogenous interferences. On-tissue chemical derivatization (OTCD) has proven to be an important solution to these issues and is increasingly employed in MALDI MSI studies. OTCD reagents, synthesized or commercially available, have been essentially used for the detection of small exogenous or endogenous molecules within tissues. Optimally, an OTCD reaction is performed in mild conditions, in an acceptable range of time, preserves the integrity of the tissues, and prevents the delocalization. In addition to their reactivity with a targeted chemical function, some OTCD reagents can also be used as a matrix, which simplifies the sample preparation procedure. In this review, we present an exhaustive overview of OTCD reagents and methods used in MALDI MSI studies.
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Affiliation(s)
- Mira Merdas
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, Rennes, F-35042, France
- Protim, Univ Rennes, Rennes, F-35042, France
- DMPK Department, Technologie Servier, Orléans, 45007, France
| | - Mélanie Lagarrigue
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, Rennes, F-35042, France
- Protim, Univ Rennes, Rennes, F-35042, France
| | | | | | | | - Charles Pineau
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, Rennes, F-35042, France
- Protim, Univ Rennes, Rennes, F-35042, France
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3
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Drelich L, Aboulouard S, Franck J, Salzet M, Fournier I, Wisztorski M. Toward High Spatially Resolved Proteomics Using Expansion Microscopy. Anal Chem 2021; 93:12195-12203. [PMID: 34449217 DOI: 10.1021/acs.analchem.0c05372] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Expansion microscopy (EM) is an emerging approach for morphological examination of biological specimens at nanoscale resolution using conventional optical microscopy. To achieve physical separation of cell structures, tissues are embedded in a swellable polymer and expanded several fold in an isotropic manner. This work shows the development and optimization of physical tissue expansion as a new method for spatially resolved large-scale proteomics. Herein we established a novel method to enlarge the tissue section to be compatible with manual microdissection on regions of interest and MS-based proteomic analysis. A major issue in expansion microscopy is the loss of protein information during the mechanical homogenization phase due to the use of proteinase K. For isotropic expansion, different homogenization agents were investigated, both to maximize protein identification and to minimize protein diffusion. Best results were obtained with SDS for homogenization. Using our modified protocol, we were able to enlarge a tissue section more than 3-fold and identified up to 655 proteins from 1 mm in size after expansion, equivalent to 330 μm in their real size corresponding thus to an average of 260 cells. This approach can be performed easily without any expensive sampling instrument. We demonstrated the compatibility of sample preparation for expansion microscopy and proteomic study in a spatial context.
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Affiliation(s)
- Lauranne Drelich
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, Lille, 59000, France
| | - Soulaimane Aboulouard
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, Lille, 59000, France
| | - Julien Franck
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, Lille, 59000, France
| | - Michel Salzet
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, Lille, 59000, France.,Institut Universitaire de France (IUF), Paris, 75000, France
| | - Isabelle Fournier
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, Lille, 59000, France.,Institut Universitaire de France (IUF), Paris, 75000, France
| | - Maxence Wisztorski
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, Lille, 59000, France
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4
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Burenbatu, Wang Y, Wang S, Narisu, Wuritunashun, Gong C, Hashengaowa, Eerdunduleng, Sarula, Guihua, Bai H. iTRAQ-based quantitative proteomics analysis of immune thrombocytopenia patients before and after Qishunbaolier treatment. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2021; 35:e8993. [PMID: 33140498 PMCID: PMC7757159 DOI: 10.1002/rcm.8993] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 10/07/2020] [Accepted: 10/13/2020] [Indexed: 10/08/2023]
Abstract
RATIONALE Treatment of immune thrombocytopenia (ITP) usually involves long-term use of immunosuppressive corticosteroids and splenectomy. However, these treatments often have side effects in patients. The Mongolian medicine Qishunbaolier (QSBLE) has a high curative effect, reduces the chances of relapse, and has no obvious side effects. This study was designed to identify potential therapeutic targets of QSBLE for treating ITP. METHODS To reveal differences in protein expression between ITP patients (ITPs) before and after QSBLE treatment, comparative proteomics studies were performed using isobaric tags for relative and absolute quantification (iTRAQ). The analysis used nanospray liquid chromatography/tandem mass spectrometry (nano-LC/MS/MS) in positive ion electrospray ionization mode. Key proteins relevant to ITP were revealed by the Kyoto Encyclopedia of Genes and Genomes (KEGG) and other bioinformatics tools. Real-time polymerase chain reaction (RT-PCR) analysis was carried out for confirmation of differentially expressed proteins. RESULTS A total of 982 differentially expressed proteins were identified in ITPs compared with the controls. Compared with the pre-QSBLE treatment group, 61 differentially expressed proteins were identified in the post-QSBLE treatment group, with 48 proteins being significantly upregulated and 13 downregulated. Twenty-nine pathways were significantly enriched. Q6N030 and other proteins were the key players in the protein-pathway network. Twenty proteins that may play important roles in the treatment of ITP were further filtered. RT-PCR and Western blot analyses further confirmed that MIF, PGK1 and IGHM were upregulated in ITPs after QSBLE treatment, in accordance with the proteomics data. CONCLUSIONS It is believed that the identified proteins and the results of bioinformatics analysis will provide a potential therapeutic target site for QSBLE for ITP therapy and biomarkers.
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Affiliation(s)
- Burenbatu
- Affiliated Hospital of Inner Mongolia University for NationalitiesTongliaoInner Mongolia028000China
| | - Yanbo Wang
- College of Life Sciences and Food SciencesInner Mongolia University for NationalitiesTongliaoInner Mongolia028000China
- Inner Mongolia Engineering and Technical Research Center for Personalized MedicineInner Mongolia University for NationalitiesTongliaoInner Mongolia028000China
| | - Shuanglian Wang
- Affiliated Hospital of Inner Mongolia University for NationalitiesTongliaoInner Mongolia028000China
| | - Narisu
- Affiliated Hospital of Inner Mongolia University for NationalitiesTongliaoInner Mongolia028000China
| | - Wuritunashun
- Affiliated Hospital of Inner Mongolia University for NationalitiesTongliaoInner Mongolia028000China
| | - Cuiqin Gong
- Affiliated Hospital of Inner Mongolia University for NationalitiesTongliaoInner Mongolia028000China
| | - Hashengaowa
- Affiliated Hospital of Inner Mongolia University for NationalitiesTongliaoInner Mongolia028000China
| | - Eerdunduleng
- Affiliated Hospital of Inner Mongolia University for NationalitiesTongliaoInner Mongolia028000China
| | - Sarula
- Affiliated Hospital of Inner Mongolia University for NationalitiesTongliaoInner Mongolia028000China
| | - Guihua
- Affiliated Hospital of Inner Mongolia University for NationalitiesTongliaoInner Mongolia028000China
| | - Haihua Bai
- College of Life Sciences and Food SciencesInner Mongolia University for NationalitiesTongliaoInner Mongolia028000China
- Inner Mongolia Engineering and Technical Research Center for Personalized MedicineInner Mongolia University for NationalitiesTongliaoInner Mongolia028000China
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5
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Abstract
Mass spectrometry imaging (MSI) is a label-free molecular imaging technique allowing an untargeted detection of a broad range of biomolecules and xenobiotics. MSI enables imaging of the spatial distribution of proteins, peptides, lipids and metabolites from a wide range of samples. To date, this technique is commonly applied to tissue sections in cancer diagnostics and biomarker development, but also molecular histology in general. Advances in the methodology and bioinformatics improved the resolution of MS images below the single cell level and increased the flexibility of the workflow. However, MSI-based research in virology is just starting to gain momentum and its full potential has not been exploited yet. In this review, we discuss the main applications of MSI in virology. We review important aspects of matrix-assisted laser desorption/ionization (MALDI) MSI, the most widely used MSI technique in virology. In addition, we summarize relevant literature on MSI studies that aim to unravel virus-host interactions and virus pathogenesis, to elucidate antiviral drug kinetics and to improve current viral disease diagnostics. Collectively, these studies strongly improve our general understanding of virus-induced changes in the proteome, metabolome and metabolite distribution in host tissues of humans, animals and plants upon infection. Furthermore, latest MSI research provided important insights into the drug distribution and distribution kinetics, especially in antiretroviral research. Finally, MSI-based investigations of oncogenic viruses greatly increased our knowledge on tumor mass signatures and facilitated the identification of cancer biomarkers.
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Affiliation(s)
- Luca D Bertzbach
- Institute of Virology, Freie Universität Berlin, Berlin, Germany
| | | | - Axel Karger
- Institute of Molecular Virology and Cell Biology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany.
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6
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Wang K, Donnarumma F, Pettit ME, Szot CW, Solouki T, Murray KK. MALDI imaging directed laser ablation tissue microsampling for data independent acquisition proteomics. JOURNAL OF MASS SPECTROMETRY : JMS 2020; 55:e4475. [PMID: 31726477 DOI: 10.1002/jms.4475] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 10/25/2019] [Accepted: 11/07/2019] [Indexed: 06/10/2023]
Abstract
A multimodal workflow for mass spectrometry imaging was developed that combines MALDI imaging with protein identification and quantification by liquid chromatography tandem mass spectrometry (LC-MS/MS). Thin tissue sections were analyzed by MALDI imaging, and the regions of interest (ROI) were identified using a smoothing and edge detection procedure. A midinfrared laser at 3-μm wavelength was used to remove the ROI from the brain tissue section after MALDI mass spectrometry imaging (MALDI MSI). The captured material was processed using a single-pot solid-phase-enhanced sample preparation (SP3) method and analyzed by LC-MS/MS using ion mobility (IM) enhanced data independent acquisition (DIA) to identify and quantify proteins; more than 600 proteins were identified. Using a modified database that included isoform and the post-translational modifications chain, loss of the initial methionine, and acetylation, 14 MALDI MSI peaks were identified. Comparison of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of the identified proteins was achieved through an evolutionary relationships classification system.
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Affiliation(s)
- Kelin Wang
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, United States
| | - Fabrizio Donnarumma
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, United States
| | - Michael E Pettit
- Department of Chemistry and Biochemistry, Baylor University, Waco, TX, 76706, United States
| | - Carson W Szot
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, United States
| | - Touradj Solouki
- Department of Chemistry and Biochemistry, Baylor University, Waco, TX, 76706, United States
| | - Kermit K Murray
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, United States
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7
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Ito T, Hiramoto M. Use of mTRAQ derivatization reagents on tissues for imaging neurotransmitters by MALDI imaging mass spectrometry: the triple spray method. Anal Bioanal Chem 2019; 411:6847-6856. [PMID: 31440782 PMCID: PMC6834748 DOI: 10.1007/s00216-019-02052-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 07/21/2019] [Accepted: 07/26/2019] [Indexed: 01/18/2023]
Abstract
During drug development, matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry is used for visually elucidating the distribution of substances such as biomarkers, candidate compounds, and metabolites in the tissues. However, it is difficult to make relative comparisons between tissue sections and there are still many challenges. Here, we report a new method of “triple spray” for the comparison of analyte distribution in multiple tissue slices. This method targets amino acids and amines, and it incorporates the application of the internal standard in the on-tissue derivatization step. With further development, it has the potential to alleviate problems caused by the matrix effect. Initially, we measured three serial sections of rat brain to verify the efficacy of this method. In the hypothalamus, where gamma-aminobutyric acid (GABA) is known to be present in high concentration, the GABA levels of the three serial section showed little variation (CV = 1.62%). Subsequently, we compared the GABA level in the brain between stroke-prone spontaneous hypertensive rats (SHRSP) and Wistar-Kyoto (WKY) rats with three individuals each. It showed significant differences between these models at the pre-selected region of interest (p < 0.05). Our results show that the triple spray allows for relative comparison among multiple tissue slices with high reproducibility. Graphical abstract ![]()
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Affiliation(s)
- Toshimasa Ito
- Drug Development Solutions Division, Sekisui Medical Co., Ltd, 2117 Muramatsu, Tokai, Ibaraki, Japan.
| | - Masashi Hiramoto
- Analysis and Pharmacokinetics Research Labs., Astellas Pharma Inc., 21 Miyukigaoka, Tsukuba-shi, Ibaraki, Japan
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8
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Barré FPY, Paine MRL, Flinders B, Trevitt AJ, Kelly PD, Ait-Belkacem R, Garcia JP, Creemers LB, Stauber J, Vreeken RJ, Cillero-Pastor B, Ellis SR, Heeren RMA. Enhanced Sensitivity Using MALDI Imaging Coupled with Laser Postionization (MALDI-2) for Pharmaceutical Research. Anal Chem 2019; 91:10840-10848. [PMID: 31355633 PMCID: PMC6706868 DOI: 10.1021/acs.analchem.9b02495] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Visualizing the distributions of drugs and their metabolites is one of the key emerging application areas of matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) within pharmaceutical research. The success of a given MALDI-MSI experiment is ultimately determined by the ionization efficiency of the compounds of interest, which in many cases are too low to enable detection at relevant concentrations. In this work we have taken steps to address this challenge via the first application of laser-postionisation coupled with MALDI (so-called MALDI-2) to the analysis and imaging of pharmaceutical compounds. We demonstrate that MALDI-2 increased the signal intensities for 7 out of the 10 drug compounds analyzed by up to 2 orders of magnitude compared to conventional MALDI analysis. This gain in sensitivity enabled the distributions of drug compounds in both human cartilage and dog liver tissue to be visualized using MALDI-2, whereas little-to-no signal from tissue was obtained using conventional MALDI. This work demonstrates the vast potential of MALDI-2-MSI in pharmaceutical research and drug development and provides a valuable tool to broaden the application areas of MSI. Finally, in an effort to understand the ionization mechanism, we provide the first evidence that the preferential formation of [M + H]+ ions with MALDI-2 has no obvious correlation with the gas-phase proton affinity values of the analyte molecules, suggesting, as with MALDI, the occurrence of complex and yet to be elucidated ionization phenomena.
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Affiliation(s)
- Florian P Y Barré
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands
| | - Martin R L Paine
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands
| | - Bryn Flinders
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands
| | - Adam J Trevitt
- School of Chemistry , University of Wollongong , Wollongong , Australia
| | - Patrick D Kelly
- School of Chemistry , University of Wollongong , Wollongong , Australia
| | | | - João P Garcia
- University Medical Centre (UMC) Utrecht , Department of Orthopedics , Heidelberglaan 100 , 3584 CX Utrecht , The Netherlands
| | - Laura B Creemers
- University Medical Centre (UMC) Utrecht , Department of Orthopedics , Heidelberglaan 100 , 3584 CX Utrecht , The Netherlands
| | | | - Rob J Vreeken
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands.,Discovery Sciences , Janssen Research and Development , Beerse , Belgium
| | - Berta Cillero-Pastor
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands
| | - Shane R Ellis
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands
| | - Ron M A Heeren
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands
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9
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Phillips L, Gill AJ, Baxter RC. Novel Prognostic Markers in Triple-Negative Breast Cancer Discovered by MALDI-Mass Spectrometry Imaging. Front Oncol 2019; 9:379. [PMID: 31139569 PMCID: PMC6527753 DOI: 10.3389/fonc.2019.00379] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 04/23/2019] [Indexed: 11/29/2022] Open
Abstract
There are no widely-accepted prognostic markers currently available to predict outcomes in patients with triple-negative breast cancer (TNBC), and no targeted therapies with confirmed benefit. We have used MALDI mass spectrometry imaging (MSI) of tryptic peptides to compare regions of cancer and benign tissue in 10 formalin-fixed, paraffin-embedded sections of TNBC tumors. Proteins were identified by reference to a peptide library constructed by LC-MALDI-MS/MS analyses of the same tissues. The prognostic significance of proteins that distinguished between cancer and benign regions was estimated by Kaplan-Meier analysis of their gene expression from public databases. Among peptides that distinguished between cancer and benign tissue in at least 3 tissues with a ROC area under the curve >0.7, 14 represented proteins identified from the reference library, including proteins not previously associated with breast cancer. Initial network analysis using the STRING database showed no obvious functional relationships except among collagen subunits COL1A1, COL1A2, and COL63A, but manual curation, including the addition of EGFR to the analysis, revealed a unique network connecting 10 of the 14 proteins. Kaplan-Meier survival analysis to examine the relationship between tumor expression of genes encoding the 14 proteins, and recurrence-free survival (RFS) in patients with basal-like TNBC showed that, compared to low expression, high expression of nine of the genes was associated with significantly worse RFS, most with hazard ratios >2. In contrast, in estrogen receptor-positive tumors, high expression of these genes showed only low, or no, association with worse RFS. These proteins are proposed as putative markers of RFS in TNBC, and some may also be considered as possible targets for future therapies.
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Affiliation(s)
- Leo Phillips
- Hormones and Cancer Group, University of Sydney, Kolling Institute, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Anthony J Gill
- Cancer Diagnosis and Pathology Group, University of Sydney, Kolling Institute, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Robert C Baxter
- Hormones and Cancer Group, University of Sydney, Kolling Institute, Royal North Shore Hospital, St Leonards, NSW, Australia
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10
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Casadonte R, Kriegsmann M, Perren A, Baretton G, Deininger S, Kriegsmann K, Welsch T, Pilarsky C, Kriegsmann J. Development of a Class Prediction Model to Discriminate Pancreatic Ductal Adenocarcinoma from Pancreatic Neuroendocrine Tumor by MALDI Mass Spectrometry Imaging. Proteomics Clin Appl 2018; 13:e1800046. [DOI: 10.1002/prca.201800046] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 11/05/2018] [Indexed: 12/13/2022]
Affiliation(s)
| | - Mark Kriegsmann
- Institute of PathologyUniversity of Heidelberg Heidelberg 69120 Germany
| | - Aurel Perren
- Institute of PathologyUniversity of Bern Bern 3012 Switzerland
| | - Gustavo Baretton
- Institute of PathologyUniversity Hospital Carl Gustav Carus at the Technical University of Dresden Dresden 01307 Germany
| | | | - Katharina Kriegsmann
- Department of HematologyOncology and RheumatologyUniversity of Heidelberg Heidelberg 69120 Germany
| | - Thilo Welsch
- Institute of PathologyUniversity Hospital Carl Gustav Carus at the Technical University of Dresden Dresden 01307 Germany
| | - Christian Pilarsky
- Institute of PathologyUniversity Hospital Carl Gustav Carus at the Technical University of Dresden Dresden 01307 Germany
| | - Jörg Kriegsmann
- Proteopath GmbH Trier 54296 Germany
- MVZ for HistologyCytology and Molecular Diagnostics Trier 54296 Germany
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11
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Zandanel C, Legouffe R, Trochon-Joseph V, Tomezyk A, Gaudin M, Bonnel D, Stauber J, Vasseur B, Bromet N. Biodistribution of polycyanoacrylate nanoparticles encapsulating doxorubicin by Matrix-Assisted Laser Desorption Ionization (MALDI) Mass Spectrometry Imaging (MSI). J Drug Deliv Sci Technol 2018. [DOI: 10.1016/j.jddst.2018.06.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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12
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Mallah K, Quanico J, Trede D, Kobeissy F, Zibara K, Salzet M, Fournier I. Lipid Changes Associated with Traumatic Brain Injury Revealed by 3D MALDI-MSI. Anal Chem 2018; 90:10568-10576. [DOI: 10.1021/acs.analchem.8b02682] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Khalil Mallah
- INSERM, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, F-59000 Lille, France
- ER045, PRASE, Laboratory of Stem Cells, Department of Biology, Faculty of Sciences-I, Lebanese University, 6573-14 Beirut, Lebanon
| | - Jusal Quanico
- INSERM, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, F-59000 Lille, France
| | | | - Firas Kobeissy
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, 1107 2020 Beirut, Lebanon
| | - Kazem Zibara
- ER045, PRASE, Laboratory of Stem Cells, Department of Biology, Faculty of Sciences-I, Lebanese University, 6573-14 Beirut, Lebanon
| | - Michel Salzet
- INSERM, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, F-59000 Lille, France
| | - Isabelle Fournier
- INSERM, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, F-59000 Lille, France
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Kaushik AK, DeBerardinis RJ. Applications of metabolomics to study cancer metabolism. Biochim Biophys Acta Rev Cancer 2018; 1870:2-14. [PMID: 29702206 PMCID: PMC6193562 DOI: 10.1016/j.bbcan.2018.04.009] [Citation(s) in RCA: 109] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2018] [Accepted: 04/20/2018] [Indexed: 12/13/2022]
Abstract
Reprogrammed metabolism supports tumor growth and provides a potential source of therapeutic targets and disease biomarkers. Mass spectrometry-based metabolomics has emerged as a broadly informative technique for profiling metabolic features associated with specific oncogenotypes, disease progression, therapeutic liabilities and other clinically relevant aspects of tumor biology. In this review, we introduce the applications of metabolomics to study deregulated metabolism and metabolic vulnerabilities in cancer. We provide examples of studies that used metabolomics to discover novel metabolic regulatory mechanisms, including processes that link metabolic alterations with gene expression, protein function, and other aspects of systems biology. Finally, we discuss emerging applications of metabolomics for in vivo isotope tracing and metabolite imaging, both of which hold promise to advance our understanding of the role of metabolic reprogramming in cancer.
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Affiliation(s)
- Akash K Kaushik
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd. Dallas, TX 75390-8502, United States
| | - Ralph J DeBerardinis
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd. Dallas, TX 75390-8502, United States.
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Qin L, Zhang Y, Liu Y, He H, Han M, Li Y, Zeng M, Wang X. Recent advances in matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) for in situ analysis of endogenous molecules in plants. PHYTOCHEMICAL ANALYSIS : PCA 2018; 29:351-364. [PMID: 29667236 DOI: 10.1002/pca.2759] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2018] [Revised: 02/01/2018] [Accepted: 02/04/2018] [Indexed: 05/27/2023]
Abstract
INTRODUCTION Mass spectrometry imaging (MSI) as a label-free and powerful imaging technique enables in situ evaluation of a tissue metabolome and/or proteome, becoming increasingly popular in the detection of plant endogenous molecules. OBJECTIVE The characterisation of structure and spatial information of endogenous molecules in plants are both very important aspects to better understand the physiological mechanism of plant organism. METHODS Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a commonly-used tissue imaging technique, which requires matrix to assist in situ detection of a variety of molecules on the surface of a tissue section. In previous studies, MALDI-MSI was mostly used for the detection of molecules from animal tissue sections, compared to plant samples due to cell structural limitations, such as plant cuticles, epicuticular waxes, and cell walls. Despite the enormous progress that has been made in tissue imaging, there is still a challenge for MALDI-MSI suitable for the imaging of endogenous compounds in plants. RESULTS This review summarises the recent advances in MALDI-MSI, focusing on the application of in situ detection of endogenous molecules in different plant organs, i.e. root, stem, leaf, flower, fruit, and seed. CONCLUSION Further improvements on instrumentation sensitivity, matrix selection, image processing and sample preparation will expand the application of MALDI-MSI in plant research.
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Affiliation(s)
- Liang Qin
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
| | - Yawen Zhang
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
| | - Yaqin Liu
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
| | - Huixin He
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
| | - Manman Han
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
| | - Yanyan Li
- The Hospital of Minzu University of China, Minzu University of China, Beijing, P. R. China
| | - Maomao Zeng
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, P. R. China
- Collaborative Innovation Centre of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, P. R. China
| | - Xiaodong Wang
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
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