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Espejo C, Wilson R, Pye RJ, Ratcliffe JC, Ruiz-Aravena M, Willms E, Wolfe BW, Hamede R, Hill AF, Jones ME, Woods GM, Lyons AB. Cathelicidin-3 Associated With Serum Extracellular Vesicles Enables Early Diagnosis of a Transmissible Cancer. Front Immunol 2022; 13:858423. [PMID: 35422813 PMCID: PMC9004462 DOI: 10.3389/fimmu.2022.858423] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 03/01/2022] [Indexed: 12/03/2022] Open
Abstract
The identification of practical early diagnostic biomarkers is a cornerstone of improved prevention and treatment of cancers. Such a case is devil facial tumor disease (DFTD), a highly lethal transmissible cancer afflicting virtually an entire species, the Tasmanian devil (Sarcophilus harrisii). Despite a latent period that can exceed one year, to date DFTD diagnosis requires visual identification of tumor lesions. To enable earlier diagnosis, which is essential for the implementation of effective conservation strategies, we analyzed the extracellular vesicle (EV) proteome of 87 Tasmanian devil serum samples using data-independent acquisition mass spectrometry approaches. The antimicrobial peptide cathelicidin-3 (CATH3), released by innate immune cells, was enriched in serum EV samples of both devils with clinical DFTD (87.9% sensitivity and 94.1% specificity) and devils with latent infection (i.e., collected while overtly healthy, but 3-6 months before subsequent DFTD diagnosis; 93.8% sensitivity and 94.1% specificity). Although high expression of antimicrobial peptides has been mostly related to inflammatory diseases, our results suggest that they can be also used as accurate cancer biomarkers, suggesting a mechanistic role in tumorous processes. This EV-based approach to biomarker discovery is directly applicable to improving understanding and diagnosis of a broad range of diseases in other species, and these findings directly enhance the capacity of conservation strategies to ensure the viability of the imperiled Tasmanian devil population.
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Affiliation(s)
- Camila Espejo
- Tasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Richard Wilson
- Central Science Laboratory, University of Tasmania, Hobart, TAS, Australia
| | - Ruth J Pye
- Menzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Julian C Ratcliffe
- La Trobe University Bioimaging Platform, La Trobe University, Bundoora, VIC, Australia
| | - Manuel Ruiz-Aravena
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia.,Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, United States
| | - Eduard Willms
- Department of Biochemistry and Chemistry, School of Agriculture, Biomedicine and Environment, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC, Australia
| | - Barrett W Wolfe
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia
| | - Rodrigo Hamede
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia.,CANECEV, Centre de Recherches Ecologiques et Evolutives sur le Cancer, Montpellier, France
| | - Andrew F Hill
- Department of Biochemistry and Chemistry, School of Agriculture, Biomedicine and Environment, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC, Australia.,Institute for Health and Sport, Victoria University, Footscray, VIC, Australia
| | - Menna E Jones
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
| | - Gregory M Woods
- Menzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - A Bruce Lyons
- Tasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
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Espejo C, Patchett AL, Wilson R, Lyons AB, Woods GM. Challenges of an Emerging Disease: The Evolving Approach to Diagnosing Devil Facial Tumour Disease. Pathogens 2021; 11:27. [PMID: 35055975 PMCID: PMC8780694 DOI: 10.3390/pathogens11010027] [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: 11/03/2021] [Revised: 12/08/2021] [Accepted: 12/17/2021] [Indexed: 11/16/2022] Open
Abstract
Devil Facial Tumour Disease (DFTD) is an emerging infectious disease that provides an excellent example of how diagnostic techniques improve as disease-specific knowledge is generated. DFTD manifests as tumour masses on the faces of Tasmanian devils, first noticed in 1996. As DFTD became more prevalent among devils, karyotyping of the lesions and their devil hosts demonstrated that DFTD was a transmissible cancer. The subsequent routine diagnosis relied on microscopy and histology to characterise the facial lesions as cancer cells. Combined with immunohistochemistry, these techniques characterised the devil facial tumours as sarcomas of neuroectodermal origin. More sophisticated molecular methods identified the origin of DFTD as a Schwann cell, leading to the Schwann cell-specific protein periaxin to discriminate DFTD from other facial lesions. After the discovery of a second facial cancer (DFT2), cytogenetics and the absence of periaxin expression confirmed the independence of the new cancer from DFT1 (the original DFTD). Molecular studies of the two DFTDs led to the development of a PCR assay to differentially diagnose the cancers. Proteomics and transcriptomic studies identified different cell phenotypes among the two DFTD cell lines. Phenotypic differences were also reflected in proteomics studies of extracellular vesicles (EVs), which yielded an early diagnostic marker that could detect DFTD in its latent stage from serum samples. A mesenchymal marker was also identified that could serve as a serum-based differential diagnostic. The emergence of two transmissible cancers in one species has provided an ideal opportunity to better understand transmissible cancers, demonstrating how fundamental research can be translated into applicable and routine diagnostic techniques.
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Affiliation(s)
- Camila Espejo
- Tasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS 7000, Australia; (C.E.); (A.B.L.)
| | - Amanda L. Patchett
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia;
| | - Richard Wilson
- Central Science Laboratory, University of Tasmania, Hobart, TAS 7000, Australia;
| | - A. Bruce Lyons
- Tasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS 7000, Australia; (C.E.); (A.B.L.)
| | - Gregory M. Woods
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia;
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3
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Dujon AM, Vittecoq M, Bramwell G, Thomas F, Ujvari B. Machine learning is a powerful tool to study the effect of cancer on species and ecosystems. Methods Ecol Evol 2021. [DOI: 10.1111/2041-210x.13703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Antoine M. Dujon
- Geelong School of Life and Environmental Sciences Centre for Integrative Ecology Deakin University Waurn Ponds Victoria Australia
- CREECUMR IRD 224‐CNRS 5290‐Université de Montpellier Montpellier France
- CANECEV‐Centre de Recherches Ecologiques et Evolutives sur le cancer (CREEC) Montpellier France
| | - Marion Vittecoq
- CREECUMR IRD 224‐CNRS 5290‐Université de Montpellier Montpellier France
- MIVEGECUniversity of MontpellierCNRSIRD Montpellier France
- Tour du Valat Research Institute for the Conservation of Mediterranean Wetlands Arles France
| | - Georgina Bramwell
- Geelong School of Life and Environmental Sciences Centre for Integrative Ecology Deakin University Waurn Ponds Victoria Australia
- CANECEV‐Centre de Recherches Ecologiques et Evolutives sur le cancer (CREEC) Montpellier France
| | - Frédéric Thomas
- CREECUMR IRD 224‐CNRS 5290‐Université de Montpellier Montpellier France
- CANECEV‐Centre de Recherches Ecologiques et Evolutives sur le cancer (CREEC) Montpellier France
- MIVEGECUniversity of MontpellierCNRSIRD Montpellier France
| | - Beata Ujvari
- Geelong School of Life and Environmental Sciences Centre for Integrative Ecology Deakin University Waurn Ponds Victoria Australia
- CANECEV‐Centre de Recherches Ecologiques et Evolutives sur le cancer (CREEC) Montpellier France
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Huang R, Shen K, He Q, Hu Y, Sun C, Guo C, Pan Y. Metabolic Profiling of Urinary Chiral Amino-Containing Biomarkers for Gastric Cancer Using a Sensitive Chiral Chlorine-Labeled Probe by HPLC-MS/MS. J Proteome Res 2021; 20:3952-3962. [PMID: 34229439 DOI: 10.1021/acs.jproteome.1c00267] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Screening of characteristic biomarkers from chiral amino-containing metabolites in biological samples is difficult and important for the noninvasive diagnosis of gastric cancer (GC). Here, an enantiomeric pair of chlorine-labeled probes d-BPCl and l-BPCl was synthesized to selectively label d- and l-amino-containing metabolites in biological samples, respectively. Incorrect structural annotations were excluded according to the characteristic 3:1 abundance ratio of natural chlorine isotopes (35Cl and 37Cl) derived from the probes. A sensitive C18 HPLC-QQQ-MS/MS method in combination with the probes was then developed and applied in metabolomic analysis of amino-containing metabolites in urine samples. A total of 161 amino-containing metabolites were rapidly separated and determined, and 28 chiral amino acids and achiral glycine were quantified with good precision and accuracy. A total of 18 differential variables were discriminated by analyzing chiral amino-containing metabolites in urine samples of the GC patient and healthy person using the probe-based HPLC-MS/MS-MRM method combined with the orthogonal partial least squares discriminant analysis and Mann-Whitney U test with false discovery rate correction for multiple hypotheses. A diagnostic regression model including d-isoleucine, d-serine, and β-(pyrazol-1-yl)-l-alanine and age was then constructed with an average prediction correctness of 88.9% in the validation set. This work established a close connection between gastric cancer and chiral amino-containing metabolites. The mass spectrometry data analyzed in the study are publicly available via Mendeley Data (DOI: 10.17632/4bd93j9yrr.1).
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Affiliation(s)
- Rongrong Huang
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Kexin Shen
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Quan He
- Department of Chemistry, Zhejiang University, Hangzhou 310027, Zhejiang, China
| | - Yiqiu Hu
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang, China
| | - Cuirong Sun
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Cheng Guo
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang, China
| | - Yuanjiang Pan
- Department of Chemistry, Zhejiang University, Hangzhou 310027, Zhejiang, China
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Willacey CC, Karu N, Harms AC, Hankemeier T. Metabolic profiling of material-limited cell samples by dimethylaminophenacyl bromide derivatization with UPLC-MS/MS analysis. Microchem J 2020. [DOI: 10.1016/j.microc.2020.105445] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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6
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LC–MS/MS analysis of the central energy and carbon metabolites in biological samples following derivatization by dimethylaminophenacyl bromide. J Chromatogr A 2019; 1608:460413. [DOI: 10.1016/j.chroma.2019.460413] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Revised: 07/27/2019] [Accepted: 07/30/2019] [Indexed: 12/12/2022]
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Martyn GV, Shurin GV, Keskinov AA, Bunimovich YL, Shurin MR. Schwann cells shape the neuro-immune environs and control cancer progression. Cancer Immunol Immunother 2019; 68:1819-1829. [PMID: 30607548 PMCID: PMC11028256 DOI: 10.1007/s00262-018-02296-3] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2018] [Accepted: 12/24/2018] [Indexed: 12/16/2022]
Abstract
At present, significant experimental and clinical data confirm the active involvement of the peripheral nervous system (PNS) in different phases of cancer development and progression. Most of the research effort focuses on the impact of distinct neuronal types, e.g., adrenergic, cholinergic, dopaminergic, etc. in carcinogenesis, generally ignoring neuroglia. The very fact that these cells far outnumber the other cellular types may also play an important role worthy of study in this context. The most prevalent neuroglia within the PNS consists of Schwann cells (SCs). These cells play a substantial role in maintaining homeostasis within the nervous system. They possess distinct immunomodulatory, inflammatory and regenerative capacities-also, one should consider their broad distribution throughout the body; this makes them a perfect target for malignant cells during the initial stages of cancer development and the very formation of the tumor microenvironment itself. We show that SCs in the tumor milieu attract different subsets of immune regulators and augment their ability to suppress effector T cells. SCs may also up-regulate invasiveness of tumor cells and support metastatic disease. We outline the interactive potential of SCs juxtaposed with cancerous cells, referring to data from various external sources alongside data of our own.
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Affiliation(s)
- German V Martyn
- Department of Neurology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Galina V Shurin
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Anton A Keskinov
- Centre for Strategic Planning and Management of Biomedical Health Risks, Ministry of Health, Moscow, Russia
| | - Yuri L Bunimovich
- Department of Dermatology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Michael R Shurin
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
- Department of Immunology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
- Clinical Immunopathology, University of Pittsburgh Medical Center, Clinical Lab Bldg, Room 4024, 3477 Euler Way, Pittsburgh, PA, 15213, USA.
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Abstract
Devil Facial Tumour Disease (DFTD), a highly contagious cancer, has decimated Tasmanian devil (Sarcophilus harrisii) numbers in the wild. To ensure its long-term survival, a captive breeding program was implemented but has not been as successful as envisaged at its launch in 2005. We therefore investigated the reproductive success of 65 captive devil pair combinations, of which 35 produced offspring (successful pairs) whereas the remaining 30 pairs, despite being observed mating, produced no offspring (unsuccessful pairs). The devils were screened at six MHC Class I-linked microsatellite loci. Our analyses revealed that younger females had a higher probability of being successful than older females. In the successful pairs we also observed a higher difference in total number of heterozygous loci, i.e. when one devil had a high total number of heterozygous loci, its partner had low numbers. Our results therefore suggest that devil reproductive success is subject to disruptive MHC selection, which to our knowledge has never been recorded in any vertebrate. In order to enhance the success of the captive breeding program the results from the present study show the importance of using young (2-year old) females as well as subjecting the devils to MHC genotyping.
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Date Y, Kikuchi J. Application of a Deep Neural Network to Metabolomics Studies and Its Performance in Determining Important Variables. Anal Chem 2018; 90:1805-1810. [DOI: 10.1021/acs.analchem.7b03795] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Yasuhiro Date
- RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
- Graduate
School of Medical Life Science, Yokohama City University, 1-7-29
Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
| | - Jun Kikuchi
- RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
- Graduate
School of Medical Life Science, Yokohama City University, 1-7-29
Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
- Graduate
School of Bioagricultural Sciences, Nagoya University, 1 Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8601, Japan
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Hayes DA, Kunde DA, Taylor RL, Pyecroft SB, Sohal SS, Snow ET. ERBB3: A potential serum biomarker for early detection and therapeutic target for devil facial tumour 1 (DFT1). PLoS One 2017; 12:e0177919. [PMID: 28591206 PMCID: PMC5462353 DOI: 10.1371/journal.pone.0177919] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 05/05/2017] [Indexed: 12/13/2022] Open
Abstract
Devil Facial Tumour 1 (DFT1) is one of two transmissible neoplasms of Tasmanian devils (Sarcophilus harrisii) predominantly affecting their facial regions. DFT1's cellular origin is that of Schwann cell lineage where lesions are evident macroscopically late in the disease. Conversely, the pre-clinical timeframe from cellular transmission to appearance of DFT1 remains uncertain demonstrating the importance of an effective pre-clinical biomarker. We show that ERBB3, a marker expressed normally by the developing neural crest and Schwann cells, is immunohistohemically expressed by DFT1, therefore the potential of ERBB3 as a biomarker was explored. Under the hypothesis that serum ERBB3 levels may increase as DFT1 invades local and distant tissues our pilot study determined serum ERBB3 levels in normal Tasmanian devils and Tasmanian devils with DFT1. Compared to the baseline serum ERBB3 levels in unaffected Tasmanian devils, Tasmanian devils with DFT1 showed significant elevation of serum ERBB3 levels. Interestingly Tasmanian devils with cutaneous lymphoma (CL) also showed elevation of serum ERBB3 levels when compared to the baseline serum levels of Tasmanian devils without DFT1. Thus, elevated serum ERBB3 levels in otherwise healthy looking devils could predict possible DFT1 or CL in captive or wild devil populations and would have implications on the management, welfare and survival of Tasmanian devils. ERBB3 is also a therapeutic target and therefore the potential exists to consider modes of administration that may eradicate DFT1 from the wild.
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Affiliation(s)
- Dane A. Hayes
- Department of Primary Industries, Parks Water and Environment, Animal Health Laboratory, Launceston, Tasmania, Australia
- Save the Tasmanian Devil Program, University of Tasmania, Hobart, Tasmania, Australia
- School of Health Sciences, Faculty of Health, University of Tasmania, Launceston, Tasmania, Australia
| | - Dale A. Kunde
- School of Health Sciences, Faculty of Health, University of Tasmania, Launceston, Tasmania, Australia
| | - Robyn L. Taylor
- Save the Tasmanian Devil Program, University of Tasmania, Hobart, Tasmania, Australia
- Department of Primary Industries, Parks Water and Environment, Resource Management and Conservation, Hobart, Tasmania, Australia
| | - Stephen B. Pyecroft
- School of Animal & Veterinary Sciences, Faculty of Science, University of Adelaide, Roseworthy Campus, Roseworthy, South Australia
| | - Sukhwinder Singh Sohal
- School of Health Sciences, Faculty of Health, University of Tasmania, Launceston, Tasmania, Australia
| | - Elizabeth T. Snow
- School of Health Sciences, Faculty of Health, University of Tasmania, Launceston, Tasmania, Australia
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