1
|
Zhong AB, Muti IH, Eyles SJ, Vachet RW, Sikora KN, Bobst CE, Calligaris D, Stopka SA, Agar JN, Wu CL, Mino-Kenudson MA, Agar NYR, Christiani DC, Kaltashov IA, Cheng LL. Multiplatform Metabolomics Studies of Human Cancers With NMR and Mass Spectrometry Imaging. Front Mol Biosci 2022; 9:785232. [PMID: 35463966 PMCID: PMC9024335 DOI: 10.3389/fmolb.2022.785232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 03/02/2022] [Indexed: 11/22/2022] Open
Abstract
The status of metabolomics as a scientific branch has evolved from proof-of-concept to applications in science, particularly in medical research. To comprehensively evaluate disease metabolomics, multiplatform approaches of NMR combining with mass spectrometry (MS) have been investigated and reported. This mixed-methods approach allows for the exploitation of each individual technique's unique advantages to maximize results. In this article, we present our findings from combined NMR and MS imaging (MSI) analysis of human lung and prostate cancers. We further provide critical discussions of the current status of NMR and MS combined human prostate and lung cancer metabolomics studies to emphasize the enhanced metabolomics ability of the multiplatform approach.
Collapse
Affiliation(s)
- Anya B. Zhong
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Isabella H. Muti
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Stephen J. Eyles
- Department of Biochemistry and Molecular Biology, University of Massachusetts-Amherst, Amherst, MA, United States
| | - Richard W. Vachet
- Department of Biochemistry and Molecular Biology, University of Massachusetts-Amherst, Amherst, MA, United States
| | - Kristen N. Sikora
- Department of Biochemistry and Molecular Biology, University of Massachusetts-Amherst, Amherst, MA, United States
| | - Cedric E. Bobst
- Department of Biochemistry and Molecular Biology, University of Massachusetts-Amherst, Amherst, MA, United States
| | - David Calligaris
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Sylwia A. Stopka
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Jeffery N. Agar
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, United States
| | - Chin-Lee Wu
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | | | - Nathalie Y. R. Agar
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Dana-Farber Cancer Institute, Boston, MA, United States
| | - David C. Christiani
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Igor A. Kaltashov
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Leo L. Cheng
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| |
Collapse
|
2
|
Lee PY, Yeoh Y, Omar N, Pung YF, Lim LC, Low TY. Molecular tissue profiling by MALDI imaging: recent progress and applications in cancer research. Crit Rev Clin Lab Sci 2021; 58:513-529. [PMID: 34615421 DOI: 10.1080/10408363.2021.1942781] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Matrix-assisted laser desorption/ionization (MALDI) imaging is an emergent technology that has been increasingly adopted in cancer research. MALDI imaging is capable of providing global molecular mapping of the abundance and spatial information of biomolecules directly in the tissues without labeling. It enables the characterization of a wide spectrum of analytes, including proteins, peptides, glycans, lipids, drugs, and metabolites and is well suited for both discovery and targeted analysis. An advantage of MALDI imaging is that it maintains tissue integrity, which allows correlation with histological features. It has proven to be a valuable tool for probing tumor heterogeneity and has been increasingly applied to interrogate molecular events associated with cancer. It provides unique insights into both the molecular content and spatial details that are not accessible by other techniques, and it has allowed considerable progress in the field of cancer research. In this review, we first provide an overview of the MALDI imaging workflow and approach. We then highlight some useful applications in various niches of cancer research, followed by a discussion of the challenges, recent developments and future prospect of this technique in the field.
Collapse
Affiliation(s)
- Pey Yee Lee
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Yeelon Yeoh
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Nursyazwani Omar
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Yuh-Fen Pung
- Division of Biomedical Science, University of Nottingham Malaysia, Selangor, Malaysia
| | - Lay Cheng Lim
- Department of Life Sciences, School of Pharmacy, International Medical University (IMU), Kuala Lumpur, Malaysia
| | - Teck Yew Low
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| |
Collapse
|
3
|
Precision pharmacology: Mass spectrometry imaging and pharmacokinetic drug resistance. Crit Rev Oncol Hematol 2019; 141:153-162. [PMID: 31302407 DOI: 10.1016/j.critrevonc.2019.06.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 06/08/2019] [Accepted: 06/13/2019] [Indexed: 12/27/2022] Open
Abstract
Failure of systemic cancer treatment can be, at least in part, due to the drug not being delivered to the tumour at sufficiently high concentration and/or sufficiently homogeneous distribution; this is termed as "pharmacokinetic drug resistance". To understand whether a drug is being adequately delivered to the tumour, "precision pharmacology" techniques are needed. Mass spectrometry imaging (MSI) is a relatively new and complex technique that allows imaging of drug distribution within tissues. In this review we address the applicability of MSI to the study of cancer drug distribution from the bench to the bedside. We address: (i) the role of MSI in pre-clinical studies to characterize anti-cancer drug distribution within the body and the tumour, (ii) the application of MSI in pre-clinical studies to define optimal drug dose or schedule, combinations or new drug delivery systems, and finally (iii) the emerging role of MSI in clinical research.
Collapse
|
4
|
MALDI mass spectrometry imaging of erlotinib administered in combination with bevacizumab in xenograft mice bearing B901L, EGFR-mutated NSCLC cells. Sci Rep 2017; 7:16763. [PMID: 29196706 PMCID: PMC5711937 DOI: 10.1038/s41598-017-17211-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Accepted: 11/22/2017] [Indexed: 12/18/2022] Open
Abstract
Combination therapy of erlotinib plus bevacizumab improves progression-free survival of patients with epidermal growth factor receptor–mutated (EGFR-mutated) advanced non–small-cell lung cancer (NSCLC) compared with erlotinib alone. Although improved delivery and distribution of erlotinib to tumours as a result of the normalization of microvessels by bevacizumab is thought to be one of the underlying mechanisms, there is insufficient supporting evidence. B901L cells derived from EGFR-mutated NSCLC were subcutaneously implanted into mice, and mice were treated with bevacizumab or human IgG followed by treatment with erlotinib. The distribution of erlotinib in their tumours at different times after erlotinib administration was analysed by matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI). We also analysed the distribution of erlotinib metabolites and the distribution of erlotinib in tumours refractory to erlotinib, which were established by long-term treatment with erlotinib. We found that erlotinib was broadly diffused in the tumours from B901L-implanted xenograft mice, independently of bevacizumab treatment. We also found that erlotinib metabolites were co-localized with erlotinib and that erlotinib in erlotinib-refractory tumours was broadly distributed throughout the tumour tissue. Multivariate imaging approaches using MALDI MSI as applied in this study are of great value for pharmacokinetic studies in drug development.
Collapse
|
5
|
Ucal Y, Durer ZA, Atak H, Kadioglu E, Sahin B, Coskun A, Baykal AT, Ozpinar A. Clinical applications of MALDI imaging technologies in cancer and neurodegenerative diseases. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2017; 1865:795-816. [PMID: 28087424 DOI: 10.1016/j.bbapap.2017.01.005] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 12/08/2016] [Accepted: 01/06/2017] [Indexed: 12/25/2022]
Abstract
Matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) imaging mass spectrometry (IMS) enables localization of analytes of interest along with histology. More specifically, MALDI-IMS identifies the distributions of proteins, peptides, small molecules, lipids, and drugs and their metabolites in tissues, with high spatial resolution. This unique capacity to directly analyze tissue samples without the need for lengthy sample preparation reduces technical variability and renders MALDI-IMS ideal for the identification of potential diagnostic and prognostic biomarkers and disease gradation. MALDI-IMS has evolved rapidly over the last decade and has been successfully used in both medical and basic research by scientists worldwide. In this review, we explore the clinical applications of MALDI-IMS, focusing on the major cancer types and neurodegenerative diseases. In particular, we re-emphasize the diagnostic potential of IMS and the challenges that must be confronted when conducting MALDI-IMS in clinical settings. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.
Collapse
Affiliation(s)
- Yasemin Ucal
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Zeynep Aslıhan Durer
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Hakan Atak
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Elif Kadioglu
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Betul Sahin
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Abdurrahman Coskun
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Ahmet Tarık Baykal
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Aysel Ozpinar
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey.
| |
Collapse
|
6
|
Abstract
Drug analysis represents a large field in different disciplines. Plasma is commonly considered to be the biosample of choice for that purpose. However, concentrations often do not represent the levels present within deeper compartments and therefore cannot sufficiently explain efficacy or toxicology of drugs. MALDI-MS in drug analysis is of great interest for high-throughput quantification and particularly spatially resolved tissue imaging. The current perspective article will deal with challenges and opportunities of MALDI-MS drug analysis in different biological samples. A particular focus will be on hair samples. Recent applications were included, reviewed for their instrumental setup and sample preparation and pros and cons as well as future perspectives are critically discussed.
Collapse
|
7
|
Carter CL, Jones JW, Farese AM, MacVittie TJ, Kane MA. Inflation-Fixation Method for Lipidomic Mapping of Lung Biopsies by Matrix Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging. Anal Chem 2016; 88:4788-94. [PMID: 27028398 DOI: 10.1021/acs.analchem.6b00165] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Chronic respiratory diseases are among the leading causes of deaths worldwide and major contributors of morbidity and global disease burden. To appropriately investigate lung disease, the respiratory airways must be fixed in their physiological orientation and should be inflated prior to investigations. We present an inflation-fixation method that enables lipidomic investigations of whole lung samples and resected biopsy specimens by matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI). Formalin-inflation enables sample preparation to parallel standard clinical and surgical procedures, in addition to greatly reducing the complexity of analysis, by decreasing the number of analytes in the MALDI plume and reducing adduct formation in the resulting mass spectra. The reduced complexity increased sensitivity and enabled high-resolution imaging acquisitions without any loss in analyte detection at 10 and 20 μm scans. We present a detailed study of over 100 lipid ions detected in positive and negative ion modes covering the conducting and respiratory airways and parts of the peripheral nervous tissue running through the lungs. By defining the resolution required for clear definition of the alveolar space and thus the respiratory airways we have provided a guideline for MSI investigations of respiratory diseases involving the airways, including the interstitium. This study has provided a detailed map of lipid species and their localization within larger mammalian lung samples, for the first time, thus categorizing the lipidome for future MALDI-MSI studies of pulmonary diseases.
Collapse
Affiliation(s)
- Claire L Carter
- University of Maryland , School of Pharmacy, Department of Pharmaceutical Sciences, 20 North Pine Street, Baltimore, Maryland 21201, United States
| | - Jace W Jones
- University of Maryland , School of Pharmacy, Department of Pharmaceutical Sciences, 20 North Pine Street, Baltimore, Maryland 21201, United States
| | - Ann M Farese
- University of Maryland , School of Medicine, Department of Radiation Oncology, 655 West Baltimore Street, Baltimore, Maryland 21201, United States
| | - Thomas J MacVittie
- University of Maryland , School of Medicine, Department of Radiation Oncology, 655 West Baltimore Street, Baltimore, Maryland 21201, United States
| | - Maureen A Kane
- University of Maryland , School of Pharmacy, Department of Pharmaceutical Sciences, 20 North Pine Street, Baltimore, Maryland 21201, United States
| |
Collapse
|
8
|
Végvári Á, Shavkunov AS, Fehniger TE, Grabau D, Niméus E, Marko-Varga G. Localization of tamoxifen in human breast cancer tumors by MALDI mass spectrometry imaging. Clin Transl Med 2016; 5:10. [PMID: 26965929 PMCID: PMC4786513 DOI: 10.1186/s40169-016-0090-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2015] [Accepted: 03/03/2016] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Tamoxifen is used in endocrine treatment of breast cancer to inhibit estrogen signaling. A set of stratified ER-positive and ER-negative tumor sections was subjected to manual deposition of tamoxifen solution in order to investigate its spatial distribution upon exposure to interaction within thin tissue sections. METHODS The localization of tamoxifen in tumor sections was assessed by matrix assisted laser deposition/ionization mass spectrometry imaging. The images of extracted ion maps were analyzed for comparison of signal intensity distributions. RESULTS The precursor ion of tamoxifen (m/z 372.233) displayed heterogeneous signal intensity distributions in histological compartments of tumor tissue sections. The levels of tamoxifen in tumor cells compared with stroma were higher in ER-positive tissues, whereas ER-negative tissue sections showed lower signal intensities in tumor cells. CONCLUSIONS The experimental model was successfully applied on frozen tumor samples allowing for differentiation between ER groups based on distribution of tamoxifen.
Collapse
Affiliation(s)
- Ákos Végvári
- Department of Biomedical Engineering, Clinical Protein Science and Imaging, Lund University, BMC D13, 221 84, Lund, Sweden.
| | - Alexander S Shavkunov
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA
| | - Thomas E Fehniger
- Department of Biomedical Engineering, Clinical Protein Science and Imaging, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Dorthe Grabau
- Department of Oncology and Pathology, Clinical Science, Lund University, Lund, Sweden
| | - Emma Niméus
- Department of Oncology and Pathology, Clinical Science, Lund University, Lund, Sweden.,Department of Surgery, Skåne University Hospital, Lund, Sweden
| | - György Marko-Varga
- Department of Biomedical Engineering, Clinical Protein Science and Imaging, Lund University, BMC D13, 221 84, Lund, Sweden
| |
Collapse
|
9
|
Grüner BM, Winkelmann I, Feuchtinger A, Sun N, Balluff B, Teichmann N, Herner A, Kalideris E, Steiger K, Braren R, Aichler M, Esposito I, Schmid RM, Walch A, Siveke JT. Modeling Therapy Response and Spatial Tissue Distribution of Erlotinib in Pancreatic Cancer. Mol Cancer Ther 2016; 15:1145-52. [DOI: 10.1158/1535-7163.mct-15-0165] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Accepted: 12/06/2015] [Indexed: 11/16/2022]
|
10
|
Chang J, Kim Y, Kwon HJ. Advances in identification and validation of protein targets of natural products without chemical modification. Nat Prod Rep 2016; 33:719-30. [DOI: 10.1039/c5np00107b] [Citation(s) in RCA: 79] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
This review focuses on and reports case studies of the latest advances in target protein identification methods for label-free natural products. The integration of newly developed technologies will provide new insights and highlight the value of natural products for use as biological probes and new drug candidates.
Collapse
Affiliation(s)
- J. Chang
- Department of Biotechnology
- Translational Research Center for Protein Function Control
- College of Life Science & Biotechnology
- Yonsei University
- Seoul 120-749
| | - Y. Kim
- Department of Biotechnology
- Translational Research Center for Protein Function Control
- College of Life Science & Biotechnology
- Yonsei University
- Seoul 120-749
| | - H. J. Kwon
- Department of Biotechnology
- Translational Research Center for Protein Function Control
- College of Life Science & Biotechnology
- Yonsei University
- Seoul 120-749
| |
Collapse
|
11
|
Nilsson A, Goodwin RJA, Shariatgorji M, Vallianatou T, Webborn PJH, Andrén PE. Mass Spectrometry Imaging in Drug Development. Anal Chem 2015; 87:1437-55. [DOI: 10.1021/ac504734s] [Citation(s) in RCA: 133] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Anna Nilsson
- Biomolecular
Imaging and Proteomics, National Center for Mass Spectrometry Imaging,
Department of Pharmaceutical Biosciences, Uppsala University, P.O. Box 591 BMC, 75124 Uppsala, Sweden
| | - Richard J. A. Goodwin
- Drug Safety & Metabolism, Innovative Medicines, AstraZeneca, Darwin Building 310, Cambridge Science Park, Milton Road, Cambridge, Cambridgeshire CB4 OWG, U.K
| | - Mohammadreza Shariatgorji
- Biomolecular
Imaging and Proteomics, National Center for Mass Spectrometry Imaging,
Department of Pharmaceutical Biosciences, Uppsala University, P.O. Box 591 BMC, 75124 Uppsala, Sweden
| | - Theodosia Vallianatou
- Biomolecular
Imaging and Proteomics, National Center for Mass Spectrometry Imaging,
Department of Pharmaceutical Biosciences, Uppsala University, P.O. Box 591 BMC, 75124 Uppsala, Sweden
| | - Peter J. H. Webborn
- Drug Safety & Metabolism, Innovative Medicines, AstraZeneca, Darwin Building 310, Cambridge Science Park, Milton Road, Cambridge, Cambridgeshire CB4 OWG, U.K
| | - Per E. Andrén
- Biomolecular
Imaging and Proteomics, National Center for Mass Spectrometry Imaging,
Department of Pharmaceutical Biosciences, Uppsala University, P.O. Box 591 BMC, 75124 Uppsala, Sweden
| |
Collapse
|
12
|
Jaumot J, Tauler R. Potential use of multivariate curve resolution for the analysis of mass spectrometry images. Analyst 2015; 140:837-46. [DOI: 10.1039/c4an00801d] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The application of MCR-ALS to mass spectrometry imaging data provides spatial distribution and MS spectra of components, allowing compound identification.
Collapse
Affiliation(s)
- Joaquim Jaumot
- Department of Environmental Chemistry
- IDAEA-CSIC
- Barcelona 08034
- Spain
| | - Romà Tauler
- Department of Environmental Chemistry
- IDAEA-CSIC
- Barcelona 08034
- Spain
| |
Collapse
|
13
|
Kriegsmann J, Kriegsmann M, Casadonte R. MALDI TOF imaging mass spectrometry in clinical pathology: a valuable tool for cancer diagnostics (review). Int J Oncol 2014; 46:893-906. [PMID: 25482502 DOI: 10.3892/ijo.2014.2788] [Citation(s) in RCA: 114] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2014] [Accepted: 11/04/2014] [Indexed: 11/06/2022] Open
Abstract
Matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) imaging mass spectrometry (IMS) is an evolving technique in cancer diagnostics and combines the advantages of mass spectrometry (proteomics), detection of numerous molecules, and spatial resolution in histological tissue sections and cytological preparations. This method allows the detection of proteins, peptides, lipids, carbohydrates or glycoconjugates and small molecules.Formalin-fixed paraffin-embedded tissue can also be investigated by IMS, thus, this method seems to be an ideal tool for cancer diagnostics and biomarker discovery. It may add information to the identification of tumor margins and tumor heterogeneity. The technique allows tumor typing, especially identification of the tumor of origin in metastatic tissue, as well as grading and may provide prognostic information. IMS is a valuable method for the identification of biomarkers and can complement histology, immunohistology and molecular pathology in various fields of histopathological diagnostics, especially with regard to identification and grading of tumors.
Collapse
Affiliation(s)
- Jörg Kriegsmann
- MVZ for Histology, Cytology and Molecular Diagnostics, Trier, Germany
| | - Mark Kriegsmann
- Institute for Pathology, University of Heidelberg, Heidelberg, Germany
| | | |
Collapse
|
14
|
Connell JJ, Sugihara Y, Török S, Döme B, Tóvári J, Fehniger TE, Marko-Varga G, Végvári Á. Localization of sunitinib in in vivo animal and in vitro experimental models by MALDI mass spectrometry imaging. Anal Bioanal Chem 2014; 407:2245-53. [PMID: 25424181 DOI: 10.1007/s00216-014-8350-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2014] [Revised: 11/13/2014] [Accepted: 11/15/2014] [Indexed: 11/29/2022]
Abstract
The spatial distribution of an anticancer drug and its intended target within a tumor plays a major role on determining how effective the drug can be at tackling the tumor. This study provides data regarding the lateral distribution of sunitinib, an oral antiangiogenic receptor tyrosine kinase inhibitor using an in vitro animal model as well as an in vitro experimental model that involved deposition of a solution of sunitinib onto tissue sections. All tumor sections were analyzed by matrix-assisted laser desorption/ionization mass spectrometry imaging and compared with subsequent histology staining. Six tumors at four different time points after commencement of in vivo sunitinib treatment were examined to observe the patterns of drug uptake. The levels of sunitinib present in in vivo treated tumor sections increased continuously until day 7, but a decrease was observed at day 10. Furthermore, the in vitro experimental model was adjustable to produce a drug level similar to that obtained in the in vivo model experiments. The distribution of sunitinib in tissue sections treated in vitro appeared to agree with the histological structure of tumors, suggesting that this approach may be useful for testing drug update.
Collapse
Affiliation(s)
- James J Connell
- Clinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, Biomedical Center D13, 221 84, Lund, Sweden
| | | | | | | | | | | | | | | |
Collapse
|
15
|
Fehniger TE, Suits F, Végvári Á, Horvatovich P, Foster M, Marko-Varga G. Queries of MALDI-imaging global datasets identifying ion mass signatures associated with tissue compartments. Proteomics 2014; 14:862-71. [DOI: 10.1002/pmic.201300431] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2013] [Revised: 11/28/2013] [Accepted: 12/10/2013] [Indexed: 11/11/2022]
Affiliation(s)
- Thomas E. Fehniger
- Clinical Protein Science & Imaging; Department of Measurement Technology and Industrial Electrical Engineering; Institution of Biomedical Engineering, Biomedical Centrum, Lund University; Lund Sweden
- Center of Excellence in Biological and Medical Mass Spectrometry; Lund University; Lund Sweden
| | - Frank Suits
- Computational Biology Center, IBM T. J. Watson Research Center; NY USA
| | - Ákos Végvári
- Clinical Protein Science & Imaging; Department of Measurement Technology and Industrial Electrical Engineering; Institution of Biomedical Engineering, Biomedical Centrum, Lund University; Lund Sweden
- Center of Excellence in Biological and Medical Mass Spectrometry; Lund University; Lund Sweden
| | - Peter Horvatovich
- Department of Analytical Biochemistry; University of Groningen; Groningen The Netherlands
- Netherlands Bioinformatics Centre; Nijmegen The Netherlands
- Netherlands Proteomics Centre; Utrecht The Netherlands
| | - Martyn Foster
- Areteva Ltd, Department of Experimental Pathology, BioCity, Nottingham; UK
| | - György Marko-Varga
- Clinical Protein Science & Imaging; Department of Measurement Technology and Industrial Electrical Engineering; Institution of Biomedical Engineering, Biomedical Centrum, Lund University; Lund Sweden
- Center of Excellence in Biological and Medical Mass Spectrometry; Lund University; Lund Sweden
- First Department of Surgery; Tokyo Medical University; Tokyo Japan
- CREATE Health; Lund University; Lund Sweden
| |
Collapse
|