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Tataranu LG, Turliuc S, Rizea RE, Dricu A, Alexandru O, Staicu GA, Kamel A. A Synopsis of Biomarkers in Glioblastoma: Past and Present. Curr Issues Mol Biol 2024; 46:6903-6939. [PMID: 39057054 PMCID: PMC11275428 DOI: 10.3390/cimb46070412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 06/27/2024] [Accepted: 07/01/2024] [Indexed: 07/28/2024] Open
Abstract
Accounting for 48% of malignant brain tumors in adults, glioblastoma has been of great interest in the last decades, especially in the biomolecular and neurosurgical fields, due to its incurable nature and notable neurological morbidity. The major advancements in neurosurgical technologies have positively influenced the extent of safe tumoral resection, while the latest progress in the biomolecular field of GBM has uncovered new potential therapeutical targets. Although GBM currently has no curative therapy, recent progress has been made in the management of this disease, both from surgical and molecular perspectives. The main current therapeutic approach is multimodal and consists of neurosurgical intervention, radiotherapy, and chemotherapy, mostly with temozolomide. Although most patients will develop treatment resistance and tumor recurrence after surgical removal, biomolecular advancements regarding GBM have contributed to a better understanding of this pathology and its therapeutic management. Over the past few decades, specific biomarkers have been discovered that have helped predict prognosis and treatment responses and contributed to improvements in survival rates.
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Affiliation(s)
- Ligia Gabriela Tataranu
- Neurosurgical Department, University of Medicine and Pharmacy “Carol Davila”, 020022 Bucharest, Romania;
- Neurosurgical Department, Clinical Emergency Hospital “Bagdasar-Arseni”, 041915 Bucharest, Romania;
| | - Serban Turliuc
- Medical Department, University of Medicine and Pharmacy “G. T. Popa”, 700115 Iasi, Romania;
| | - Radu Eugen Rizea
- Neurosurgical Department, University of Medicine and Pharmacy “Carol Davila”, 020022 Bucharest, Romania;
- Neurosurgical Department, Clinical Emergency Hospital “Bagdasar-Arseni”, 041915 Bucharest, Romania;
| | - Anica Dricu
- Department of Biochemistry, Faculty of Medicine, University of Medicine and Pharmacy, 200349 Craiova, Romania (O.A.); (G.-A.S.)
| | - Oana Alexandru
- Department of Biochemistry, Faculty of Medicine, University of Medicine and Pharmacy, 200349 Craiova, Romania (O.A.); (G.-A.S.)
| | - Georgiana-Adeline Staicu
- Department of Biochemistry, Faculty of Medicine, University of Medicine and Pharmacy, 200349 Craiova, Romania (O.A.); (G.-A.S.)
| | - Amira Kamel
- Neurosurgical Department, Clinical Emergency Hospital “Bagdasar-Arseni”, 041915 Bucharest, Romania;
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2
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Clavreul A, Guette C, Lasla H, Rousseau A, Blanchet O, Henry C, Boissard A, Cherel M, Jézéquel P, Guillonneau F, Menei P, Lemée JM. Proteomics of tumor and serum samples from isocitrate dehydrogenase-wildtype glioblastoma patients: is the detoxification of reactive oxygen species associated with shorter survival? Mol Oncol 2024. [PMID: 38803161 DOI: 10.1002/1878-0261.13668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 04/12/2024] [Accepted: 05/10/2024] [Indexed: 05/29/2024] Open
Abstract
Proteomics has been little used for the identification of novel prognostic and/or therapeutic markers in isocitrate dehydrogenase (IDH)-wildtype glioblastoma (GB). In this study, we analyzed 50 tumor and 30 serum samples from short- and long-term survivors of IDH-wildtype GB (STS and LTS, respectively) by data-independent acquisition mass spectrometry (DIA-MS)-based proteomics, with the aim of identifying such markers. DIA-MS identified 5422 and 826 normalized proteins in tumor and serum samples, respectively, with only three tumor proteins and 26 serum proteins displaying significant differential expression between the STS and LTS groups. These dysregulated proteins were principally associated with the detoxification of reactive oxygen species (ROS). In particular, GB patients in the STS group had high serum levels of malate dehydrogenase 1 (MDH1) and ribonuclease inhibitor 1 (RNH1) and low tumor levels of fatty acid-binding protein 7 (FABP7), which may have enabled them to maintain low ROS levels, counteracting the effects of the first-line treatment with radiotherapy plus concomitant and adjuvant temozolomide. A blood score built on the levels of MDH1 and RNH1 expression was found to be an independent prognostic factor for survival based on the serum proteome data for a cohort of 96 IDH-wildtype GB patients. This study highlights the utility of circulating MDH1 and RNH1 biomarkers for determining the prognosis of patients with IDH-wildtype GB. Furthermore, the pathways driven by these biomarkers, and the tumor FABP7 pathway, may constitute promising therapeutic targets for blocking ROS detoxification to overcome resistance to chemoradiotherapy in potential GB STS.
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Affiliation(s)
- Anne Clavreul
- Département de Neurochirurgie, CHU d'Angers, France
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
| | - Catherine Guette
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Hamza Lasla
- Omics Data Science Unit, Institut de Cancérologie de l'Ouest (ICO), Nantes, France
- SIRIC ILIAD, Institut de Recherche en Santé, Université de Nantes, France
| | - Audrey Rousseau
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- Département de Pathologie, CHU d'Angers, France
| | - Odile Blanchet
- Centre de Ressources Biologiques, BB-0033-00038, CHU d'Angers, France
| | - Cécile Henry
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Alice Boissard
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Mathilde Cherel
- Département de Biologie Médicale, Centre Eugène Marquis, Unicancer, Rennes, France
| | - Pascal Jézéquel
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- Omics Data Science Unit, Institut de Cancérologie de l'Ouest (ICO), Nantes, France
- SIRIC ILIAD, Institut de Recherche en Santé, Université de Nantes, France
| | - François Guillonneau
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Philippe Menei
- Département de Neurochirurgie, CHU d'Angers, France
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
| | - Jean-Michel Lemée
- Département de Neurochirurgie, CHU d'Angers, France
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
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3
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Swaney EEK, Babl FE, Rausa VC, Anderson N, Hearps SJC, Parkin G, Hart-Smith G, Zaw T, Carroll L, Takagi M, Seal ML, Davis GA, Anderson V, Ignjatovic V. Discovery of Alpha-1-Antichymotrypsin as a Marker of Delayed Recovery from Concussion in Children. J Neurotrauma 2024. [PMID: 38597719 DOI: 10.1089/neu.2023.0503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024] Open
Abstract
Of the four million children who experience a concussion each year, 30-50% of children will experience delayed recovery, where they will continue to experience symptoms more than two weeks after their injury. Delayed recovery from concussion encompasses emotional, behavioral, physical, and cognitive symptoms, and as such, there is an increased focus on developing an objective tool to determine risk of delayed recovery. This study aimed to identify a blood protein signature predictive of delayed recovery from concussion in children. Plasma samples were collected from children who presented to the Emergency Department at the Royal Children's Hospital, Melbourne, within 48h post-concussion. This study involved a discovery and validation phase. For the discovery phase, untargeted proteomics analysis was performed using single window acquisition of all theoretical mass spectra to identify blood proteins differentially abundant in samples from children with and without delayed recovery from concussion. A subset of these proteins was then validated in a separate participant cohort using multiple reaction monitoring and enzyme linked immunosorbent assay. A blood protein signature predictive of delayed recovery from concussion was modeled using a Support Vector Machine, a machine learning approach. In the discovery phase, 22 blood proteins were differentially abundant in age- and sex-matched samples from children with (n = 9) and without (n = 9) delayed recovery from concussion, six of whom were chosen for validation. In the validation phase, alpha-1-ACT was shown to be significantly lower in children with delayed recovery (n = 12) compared with those without delayed recovery (n = 28), those with orthopedic injuries (n = 7) and healthy controls (n = 33). A model consisting of alpha-1-ACT concentration stratified children based on recovery from concussion with an 0.88 area under the curve. We have identified that alpha-1-ACT differentiates between children at risk of delayed recovery from those without delayed recovery from concussion. To our knowledge, this is the first study to identify alpha-1-ACT as a potential marker of delayed recovery from concussion in children. Multi-site studies are required to further validate this finding before use in a clinical setting.
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Affiliation(s)
- Ella E K Swaney
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Victoria, Australia
| | - Franz E Babl
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Emergency Department, Royal Children's Hospital, Melbourne, Victoria, Australia
| | - Vanessa C Rausa
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Nicholas Anderson
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | | | - Georgia Parkin
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Gene Hart-Smith
- Australian Proteomics Analysis Facility, Macquarie University, Sydney, New South Wales, Australia
| | - Thiri Zaw
- Australian Proteomics Analysis Facility, Macquarie University, Sydney, New South Wales, Australia
| | - Luke Carroll
- Australian Proteomics Analysis Facility, Macquarie University, Sydney, New South Wales, Australia
| | - Michael Takagi
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- School of Psychological Sciences, University of Melbourne, Victoria, Australia
| | - Marc L Seal
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Victoria, Australia
| | - Gavin A Davis
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Neurosurgery, Austin and Cabrini Hospitals, Melbourne, Victoria, Australia
| | - Vicki Anderson
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- School of Psychological Sciences, University of Melbourne, Victoria, Australia
- Psychology Service, Royal Children's Hospital, Melbourne, Victoria, Australia
| | - Vera Ignjatovic
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Victoria, Australia
- Johns Hopkins All Children's Institute for Clinical and Translational Research, St. Petersburg, FL, USA
- Department of Pediatrics, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
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4
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Hallal SM, Tűzesi Á, Sida LA, Xian E, Madani D, Muralidharan K, Shivalingam B, Buckland ME, Satgunaseelan L, Alexander KL. Glioblastoma biomarkers in urinary extracellular vesicles reveal the potential for a 'liquid gold' biopsy. Br J Cancer 2024; 130:836-851. [PMID: 38212481 PMCID: PMC10912426 DOI: 10.1038/s41416-023-02548-9] [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: 08/14/2023] [Revised: 12/05/2023] [Accepted: 12/08/2023] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND Biomarkers that reflect glioblastoma tumour activity and treatment response are urgently needed to help guide clinical management, particularly for recurrent disease. As the urinary system is a major clearance route of circulating extracellular vesicles (EVs; 30-1000 nm nanoparticles) we explored whether sampling urinary-EVs could serve as a simple and non-invasive liquid biopsy approach for measuring glioblastoma-associated biomarkers. METHODS Fifty urine specimens (15-60 ml) were collected from 24 catheterised glioblastoma patients immediately prior to primary (n = 17) and recurrence (n = 7) surgeries, following gross total resection (n = 9), and from age/gender-matched healthy participants (n = 14). EVs isolated by differential ultracentrifugation were characterised and extracted proteomes were analysed by high-resolution data-independent acquisition liquid chromatography tandem mass spectrometry (DIA-LC-MS/MS). RESULTS Overall, 6857 proteins were confidently identified in urinary-EVs (q-value ≤ 0.01), including 94 EV marker proteins. Glioblastoma-specific proteomic signatures were determined, and putative urinary-EV biomarkers corresponding to tumour burden and recurrence were identified (FC ≥ | 2 | , adjust p-val≤0.05, AUC > 0.9). CONCLUSION In-depth DIA-LC-MS/MS characterisation of urinary-EVs substantiates urine as a viable source of glioblastoma biomarkers. The promising 'liquid gold' biomarker panels described here warrant further investigation.
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Affiliation(s)
- Susannah M Hallal
- Brain Cancer Research, Neurosurgery Department, Chris O'Brien Lifehouse, Camperdown, NSW, Australia
- Department of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- School of Medical Sciences, Faculty of Medicine and Health Sciences, The University of Sydney, Camperdown, NSW, Australia
| | - Ágota Tűzesi
- Department of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- School of Medical Sciences, Faculty of Medicine and Health Sciences, The University of Sydney, Camperdown, NSW, Australia
| | - Liam A Sida
- School of Medical Sciences, Faculty of Medicine and Health Sciences, The University of Sydney, Camperdown, NSW, Australia
| | - Elissa Xian
- Brain Cancer Research, Neurosurgery Department, Chris O'Brien Lifehouse, Camperdown, NSW, Australia
- Neurosurgery Department, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Daniel Madani
- Brain Cancer Research, Neurosurgery Department, Chris O'Brien Lifehouse, Camperdown, NSW, Australia
- Neurosurgery Department, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Krishna Muralidharan
- Brain Cancer Research, Neurosurgery Department, Chris O'Brien Lifehouse, Camperdown, NSW, Australia
- Neurosurgery Department, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Brindha Shivalingam
- Brain Cancer Research, Neurosurgery Department, Chris O'Brien Lifehouse, Camperdown, NSW, Australia
- Neurosurgery Department, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Sydney Medical School, Faculty of Medicine and Health Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Michael E Buckland
- Department of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- School of Medical Sciences, Faculty of Medicine and Health Sciences, The University of Sydney, Camperdown, NSW, Australia
| | - Laveniya Satgunaseelan
- Brain Cancer Research, Neurosurgery Department, Chris O'Brien Lifehouse, Camperdown, NSW, Australia
- Department of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Sydney Medical School, Faculty of Medicine and Health Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Kimberley L Alexander
- Brain Cancer Research, Neurosurgery Department, Chris O'Brien Lifehouse, Camperdown, NSW, Australia.
- Department of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
- School of Medical Sciences, Faculty of Medicine and Health Sciences, The University of Sydney, Camperdown, NSW, Australia.
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5
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Cho CH, Deyneko IV, Cordova-Martinez D, Vazquez J, Maguire AS, Diaz JR, Carbonell AU, Tindi JO, Cui MH, Fleysher R, Molholm S, Lipton ML, Branch CA, Hodgson L, Jordan BA. ANKS1B encoded AIDA-1 regulates social behaviors by controlling oligodendrocyte function. Nat Commun 2023; 14:8499. [PMID: 38129387 PMCID: PMC10739966 DOI: 10.1038/s41467-023-43438-1] [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: 04/08/2022] [Accepted: 11/09/2023] [Indexed: 12/23/2023] Open
Abstract
Heterozygous deletions in the ANKS1B gene cause ANKS1B neurodevelopmental syndrome (ANDS), a rare genetic disease characterized by autism spectrum disorder (ASD), attention deficit/hyperactivity disorder, and speech and motor deficits. The ANKS1B gene encodes for AIDA-1, a protein that is enriched at neuronal synapses and regulates synaptic plasticity. Here we report an unexpected role for oligodendroglial deficits in ANDS pathophysiology. We show that Anks1b-deficient mouse models display deficits in oligodendrocyte maturation, myelination, and Rac1 function, and recapitulate white matter abnormalities observed in ANDS patients. Selective loss of Anks1b from the oligodendrocyte lineage, but not from neuronal populations, leads to deficits in social preference and sensory reactivity previously observed in a brain-wide Anks1b haploinsufficiency model. Furthermore, we find that clemastine, an antihistamine shown to increase oligodendrocyte precursor cell maturation and central nervous system myelination, rescues deficits in social preference in 7-month-old Anks1b-deficient mice. Our work shows that deficits in social behaviors present in ANDS may originate from abnormal Rac1 activity within oligodendrocytes.
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Affiliation(s)
- Chang Hoon Cho
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
- Human Pathobiology and OMNI Reverse Translation, Genentech, Inc., San Francisco, CA, USA
| | - Ilana Vasilisa Deyneko
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Dylann Cordova-Martinez
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Juan Vazquez
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Anne S Maguire
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jenny R Diaz
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Abigail U Carbonell
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jaafar O Tindi
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Min-Hui Cui
- Department of Radiology, Albert Einstein College of Medicine, Bronx, NY, USA
- Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Roman Fleysher
- Department of Radiology, Albert Einstein College of Medicine, Bronx, NY, USA
- Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sophie Molholm
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Michael L Lipton
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Radiology, Albert Einstein College of Medicine, Bronx, NY, USA
- Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Craig A Branch
- Department of Radiology, Albert Einstein College of Medicine, Bronx, NY, USA
- Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Louis Hodgson
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, USA
- Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Bryen A Jordan
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA.
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY, USA.
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Chen YT, Liao WR, Wang HT, Chen HW, Chen SF. Targeted protein quantitation in human body fluids by mass spectrometry. MASS SPECTROMETRY REVIEWS 2023; 42:2379-2403. [PMID: 35702881 DOI: 10.1002/mas.21788] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 01/11/2022] [Accepted: 04/08/2022] [Indexed: 06/15/2023]
Abstract
Human body fluids (biofluids) contain various proteins, some of which reflect individuals' physiological conditions or predict diseases. Therefore, the analysis of biofluids can provide substantial information on novel biomarkers for clinical diagnosis and prognosis. In the past decades, mass spectrometry (MS)-based technologies have been developed as proteomic strategies not only for the identification of protein biomarkers but also for biomarker verification/validation in body fluids for clinical applications. The main advantage of targeted MS-based methodologies is the accurate and specific simultaneous quantitation of multiple biomarkers with high sensitivity. Here, we review MS-based methodologies that are currently used for the targeted quantitation of protein components in human body fluids, especially in plasma, urine, cerebrospinal fluid, and saliva. In addition, the currently used MS-based methodologies are summarized with a specific focus on applicable clinical sample types, MS configurations, and acquisition modes.
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Affiliation(s)
- Yi-Ting Chen
- Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Nephrology, Kidney Research Center, Linkou Medical Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Molecular and Medicine Research Center, Chang Gung University, Taoyuan, Taiwan
- Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Wan-Rou Liao
- Department of Chemistry, National Taiwan Normal University, Taipei, Taiwan
| | - Hsueh-Ting Wang
- Instrumentation Center, National Taiwan Normal University, Taipei, Taiwan
| | - Hsiao-Wei Chen
- Molecular and Medicine Research Center, Chang Gung University, Taoyuan, Taiwan
| | - Sung-Fang Chen
- Department of Chemistry, National Taiwan Normal University, Taipei, Taiwan
- Instrumentation Center, National Taiwan Normal University, Taipei, Taiwan
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Kang N, Oh HJ, Hong JH, Moon HE, Kim Y, Lee HJ, Min H, Park H, Lee SH, Paek SH, Jin J. Glial cell proteome using targeted quantitative methods for potential multi-diagnostic biomarkers. Clin Proteomics 2023; 20:45. [PMID: 37875819 PMCID: PMC10598909 DOI: 10.1186/s12014-023-09432-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 10/04/2023] [Indexed: 10/26/2023] Open
Abstract
Glioblastoma is one of the most malignant primary brain cancer. Despite surgical resection with modern technology followed by chemo-radiation therapy with temozolomide, resistance to the treatment and recurrence is common due to its aggressive and infiltrating nature of the tumor with high proliferation index. The median survival time of the patients with glioblastomas is less than 15 months. Till now there has been no report of molecular target specific for glioblastomas. Early diagnosis and development of molecular target specific for glioblastomas are essential for longer survival of the patients with glioblastomas. Development of biomarkers specific for glioblastomas is most important for early diagnosis, estimation of the prognosis, and molecular target therapy of glioblastomas. To that end, in this study, we have conducted a comprehensive proteome study using primary cells and tissues from patients with glioblastoma. In the discovery stage, we have identified 7429 glioblastoma-specific proteins, where 476 proteins were quantitated using Tandem Mass Tag (TMT) method; 228 and 248 proteins showed up and down-regulated pattern, respectively. In the validation stage (20 selected target proteins), we developed quantitative targeted method (MRM: Multiple reaction monitoring) using stable isotope standards (SIS) peptide. In this study, five proteins (CCT3, PCMT1, TKT, TOMM34, UBA1) showed the significantly different protein levels (t-test: p value ≤ 0.05, AUC ≥ 0.7) between control and cancer groups and the result of multiplex assay using logistic regression showed the 5-marker panel showed better sensitivity (0.80 and 0.90), specificity (0.92 and 1.00), error rate (10 and 2%), and AUC value (0.94 and 0.98) than the best single marker (TOMM34) in primary cells and tissues, respectively. Although we acknowledge that the model requires further validation in a large sample size, the 5 protein marker panel can be used as baseline data for the discovery of novel biomarkers of the glioblastoma.
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Affiliation(s)
- Narae Kang
- New Drug Development Center, Heungdeok-gu, Chungbuk, Cheongju-si, 28160, Korea
| | - Hyun Jeong Oh
- School of Mechanical Engineering, Korea University, Seoul, 024841, Republic of Korea
- Institute of Chemical Engineering Convergence Systems, Korea University, Seoul, 02841, Republic of Korea
| | - Ji Hye Hong
- New Drug Development Center, Heungdeok-gu, Chungbuk, Cheongju-si, 28160, Korea
| | - Hyo Eun Moon
- Department of Neurosurgery, Cancer Research Institute and Ischemic/Hypoxic Disease Institute, Seoul National University, 28 Yeongeon-dong, Jongno-gu, Seoul, 03080, Korea
- Advanced Institute of Convergence Technology, Seoul National University (SNU), Suwon, 16229, Korea
| | - Yona Kim
- Department of Neurosurgery, Cancer Research Institute and Ischemic/Hypoxic Disease Institute, Seoul National University, 28 Yeongeon-dong, Jongno-gu, Seoul, 03080, Korea
- Advanced Institute of Convergence Technology, Seoul National University (SNU), Suwon, 16229, Korea
| | - Hyeon-Jeong Lee
- Department of Molecular Medicine & Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, 28 Yeongeon-dong, Jongno-gu, Seoul, 03080, Korea
- Doping Control Center, Korea Institute of Science and Technology, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Korea
| | - Hophil Min
- Doping Control Center, Korea Institute of Science and Technology, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Korea
| | - Hyeonji Park
- New Drug Development Center, Heungdeok-gu, Chungbuk, Cheongju-si, 28160, Korea
| | - Sang Hun Lee
- Department of Chemical and Biological Engineering, Hanbat National University, Daejeon, 34158, Korea
| | - Sun Ha Paek
- Department of Neurosurgery, Cancer Research Institute and Ischemic/Hypoxic Disease Institute, Seoul National University, 28 Yeongeon-dong, Jongno-gu, Seoul, 03080, Korea.
- Advanced Institute of Convergence Technology, Seoul National University (SNU), Suwon, 16229, Korea.
| | - Jonghwa Jin
- New Drug Development Center, Heungdeok-gu, Chungbuk, Cheongju-si, 28160, Korea.
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8
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Skouras P, Markouli M, Kalamatianos T, Stranjalis G, Korkolopoulou P, Piperi C. Advances on Liquid Biopsy Analysis for Glioma Diagnosis. Biomedicines 2023; 11:2371. [PMID: 37760812 PMCID: PMC10525418 DOI: 10.3390/biomedicines11092371] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 08/16/2023] [Accepted: 08/21/2023] [Indexed: 09/29/2023] Open
Abstract
Gliomas comprise the most frequent primary central nervous system (CNS) tumors, characterized by remarkable genetic and epigenetic heterogeneity, difficulty in monitoring, and increased relapse and mortality rates. Tissue biopsy is an established method of tumor cell collection and analysis that enables diagnosis, classification of different tumor types, and prediction of prognosis upon confirmation of tumor's location for surgical removal. However, it is an invasive and often challenging procedure that cannot be used for frequent patient screening, detection of mutations, disease monitoring, or resistance to therapy. To this end, the minimally invasive procedure of liquid biopsy has emerged, allowing effortless tumor sampling and enabling continuous monitoring. It is considered a novel preferable way to obtain faster data on potential tumor risk, personalized diagnosis, prognosis, and recurrence evaluation. The purpose of this review is to describe the advances on liquid biopsy for glioma diagnosis and management, indicating several biomarkers that can be utilized to analyze tumor characteristics, such as cell-free DNA (cfDNA), cell-free RNA (cfRNA), circulating proteins, circulating tumor cells (CTCs), and exosomes. It further addresses the benefit of combining liquid biopsy with radiogenomics to facilitate early and accurate diagnoses, enable precise prognostic assessments, and facilitate real-time disease monitoring, aiming towards more optimal treatment decisions.
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Affiliation(s)
- Panagiotis Skouras
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece;
- 1st Department of Neurosurgery, Evangelismos Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (T.K.); (G.S.)
| | - Mariam Markouli
- Department of Medicine, Boston Medical Center, Boston University School of Medicine, Boston, MA 02118, USA;
| | - Theodosis Kalamatianos
- 1st Department of Neurosurgery, Evangelismos Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (T.K.); (G.S.)
| | - George Stranjalis
- 1st Department of Neurosurgery, Evangelismos Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (T.K.); (G.S.)
| | - Penelope Korkolopoulou
- Department of Pathology, Medical School, National and Kapodistrian University of Athens, 75 M. Asias Street, 11527 Athens, Greece;
| | - Christina Piperi
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece;
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9
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Pai MGJ, Biswas D, Verma A, Srivastava S. A proteome-level view of brain tumors for a better understanding of novel diagnosis, prognosis, and therapy. Expert Rev Proteomics 2023; 20:381-395. [PMID: 37970632 DOI: 10.1080/14789450.2023.2283498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 11/01/2023] [Indexed: 11/17/2023]
Abstract
INTRODUCTION Brain tumors are complex and heterogeneous malignancies with significant challenges in diagnosis, prognosis, and therapy. Proteomics, the large-scale study of proteins and their functions, has emerged as a powerful tool to comprehensively investigate the molecular mechanisms underlying brain tumor regulation. AREAS COVERED This review explores brain tumors from a proteomic standpoint, highlighting recent progress and insights gained through proteomic methods. It delves into the proteomic techniques employed and underscores potential biomarkers for early detection, prognosis, and treatment planning. Recent PubMed Central proteomic studies (2017-present) are discussed, summarizing findings on altered protein expression, post-translational changes, and protein interactions. This sheds light on brain tumor signaling pathways and their significance in innovative therapeutic approaches. EXPERT OPINION Proteomics offers immense potential for revolutionizing brain tumor diagnosis and therapy. To unlock its full benefits, further translational research is crucial. Combining proteomics with other omics data enhances our grasp of brain tumors. Validating and translating proteomic biomarkers are vital for better patient results. Challenges include tumor complexity, lack of curated proteomic databases, and the need for collaboration between researchers and clinicians. Overcoming these challenges requires investment in technology, data sharing, and translational research.
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Affiliation(s)
- Medha Gayathri J Pai
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India
| | - Deeptarup Biswas
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India
| | - Ayushi Verma
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India
| | - Sanjeeva Srivastava
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India
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10
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Hosseini A, Ashraf H, Rahimi F, Alipourfard I, Alivirdiloo V, Hashemi B, Yazdani Y, Ghazi F, Eslami M, Ameri Shah Reza M, Dadashpour M. Recent advances in the detection of glioblastoma, from imaging-based methods to proteomics and biosensors: A narrative review. Cancer Cell Int 2023; 23:98. [PMID: 37210528 DOI: 10.1186/s12935-023-02947-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 05/16/2023] [Indexed: 05/22/2023] Open
Abstract
Glioblastoma (GBM) is an aggressive type of cancer that originates in the cells called astrocytes, which support the functioning of nerve cells. It can develop in either the brain or the spinal cord and is also known as glioblastoma multiform. GBM is a highly aggressive cancer that can occur in either the brain or spinal cord. The detection of GBM in biofluids offers potential advantages over current methods for diagnosing and treatment monitoring of glial tumors. Biofluid-based detection of GBM focuses on identifying tumor-specific biomarkers in blood and cerebrospinal fluid. To date, different methods have been used to detect biomarkers of GBM, ranging from various imaging techniques to molecular approaches. Each method has its own strengths and weaknesses. The present review aims to scrutinize multiple diagnostic methods for GBM, with a focus on proteomics methods and biosensors. In other words, this study aims to provide an overview of the most significant research findings based on proteomics and biosensors for the diagnosis of GBM.
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Affiliation(s)
| | - Hami Ashraf
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Rahimi
- Division of Clinical Laboratory, Zahra Mardani Azari Children Training, Research and Treatment Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Iraj Alipourfard
- Institute of Physical Chemistry, Polish Academy of Science, Warsaw, Poland
| | - Vahid Alivirdiloo
- Medical Doctor Ramsar Campus, Mazandaran University of Medical Sciences, Ramsar, Iran
| | - Behnam Hashemi
- Department of Bacteriology, Faculty of Medical Science, Tarbiat Modares University, Tehran, Iran
| | - Yalda Yazdani
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Farhood Ghazi
- Stem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Majid Eslami
- Department of Medical Bacteriology and Virology, Semnan University of Medical Sciences, Semnan, Iran
| | | | - Mehdi Dadashpour
- Department of Medical Biotechnology, Semnan University of Medical Sciences, Semnan, Iran.
- Student Research Committee, Semnan University of Medical Sciences, Semnan, Iran.
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11
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Philipsen MH, Hansson E, Manaprasertsak A, Lange S, Jennische E, Carén H, Gatzinsky K, Jakola A, Hammarlund EU, Malmberg P. Distinct Cholesterol Localization in Glioblastoma Multiforme Revealed by Mass Spectrometry Imaging. ACS Chem Neurosci 2023; 14:1602-1609. [PMID: 37040529 PMCID: PMC10161228 DOI: 10.1021/acschemneuro.2c00776] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/31/2023] [Indexed: 04/13/2023] Open
Abstract
Glioblastoma multiforme (GBM) is the most common and aggressive brain tumor in adults and is highly resistant to chemo- and radiotherapies. GBM has been associated with alterations in lipid contents, but lipid metabolism reprogramming in tumor cells is not fully elucidated. One of the key hurdles is to localize the lipid species that are correlated with tumor growth and invasion. A better understanding of the localization of abnormal lipid metabolism and its vulnerabilities may open up to novel therapeutic approaches. Here, we use time-of-flight secondary ion mass spectrometry (ToF-SIMS) to spatially probe the lipid composition in a GBM biopsy from two regions with different histopathologies: one region with most cells of uniform size and shape, the homogeneous part, and the other with cells showing a great variation in size and shape, the heterogeneous part. Our results reveal elevated levels of cholesterol, diacylglycerols, and some phosphatidylethanolamine in the homogeneous part, while the heterogeneous part was dominated by a variety of fatty acids, phosphatidylcholine, and phosphatidylinositol species. We also observed a high expression of cholesterol in the homogeneous tumor region to be associated with large cells but not with macrophages. Our findings suggest that ToF-SIMS can distinguish in lipid distribution between parts within a human GBM tumor, which can be linked to different molecular mechanisms.
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Affiliation(s)
- Mai H. Philipsen
- Tissue
Development and Evolution (TiDE) Division, Department of Laboratory
Medicine, Lund University, SE22100 Lund, Sweden
- Lund
Stem Cell Center, Department of Laboratory Medicine, Lund University, SE22100 Lund, Sweden
| | - Ellinor Hansson
- Department
of Chemistry and Chemical Engineering, Chalmers
University of Technology, SE41296 Gothenburg, Sweden
| | - Auraya Manaprasertsak
- Tissue
Development and Evolution (TiDE) Division, Department of Laboratory
Medicine, Lund University, SE22100 Lund, Sweden
- Lund
Stem Cell Center, Department of Laboratory Medicine, Lund University, SE22100 Lund, Sweden
| | - Stefan Lange
- Institute
of Biomedicine, University of Gothenburg, SE41390 Gothenburg, Sweden
| | - Eva Jennische
- Institute
of Biomedicine, University of Gothenburg, SE41390 Gothenburg, Sweden
| | - Helena Carén
- Sahlgrenska
Centre for Cancer Research, Department of Medical Biochemistry and
Cell biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, SE41390 Gothenburg, Sweden
- Institute
of Biomedicine, University of Gothenburg, SE41390 Gothenburg, Sweden
| | - Kliment Gatzinsky
- Department
of Neurosurgery, Sahlgrenska University
Hospital, SE41345 Gothenburg, Sweden
| | - Asgeir Jakola
- Department
of Neurosurgery, Sahlgrenska University
Hospital, SE41345 Gothenburg, Sweden
- Institute
of Neuroscience and physiology, Department of clinical neuroscience, Sahlgrenska Academy, SE41345 Gothenburg, Sweden
| | - Emma U. Hammarlund
- Tissue
Development and Evolution (TiDE) Division, Department of Laboratory
Medicine, Lund University, SE22100 Lund, Sweden
- Lund
Stem Cell Center, Department of Laboratory Medicine, Lund University, SE22100 Lund, Sweden
| | - Per Malmberg
- Department
of Chemistry and Chemical Engineering, Chalmers
University of Technology, SE41296 Gothenburg, Sweden
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12
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Chantaravisoot N, Wongkongkathep P, Kalpongnukul N, Pacharakullanon N, Kaewsapsak P, Ariyachet C, Loo JA, Tamanoi F, Pisitkun T. mTORC2 interactome and localization determine aggressiveness of high-grade glioma cells through association with gelsolin. Sci Rep 2023; 13:7037. [PMID: 37120454 PMCID: PMC10148843 DOI: 10.1038/s41598-023-33872-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 04/20/2023] [Indexed: 05/01/2023] Open
Abstract
mTOR complex 2 (mTORC2) has been implicated as a key regulator of glioblastoma cell migration. However, the roles of mTORC2 in the migrational control process have not been entirely elucidated. Here, we elaborate that active mTORC2 is crucial for GBM cell motility. Inhibition of mTORC2 impaired cell movement and negatively affected microfilament and microtubule functions. We also aimed to characterize important players involved in the regulation of cell migration and other mTORC2-mediated cellular processes in GBM cells. Therefore, we quantitatively characterized the alteration of the mTORC2 interactome under selective conditions using affinity purification-mass spectrometry in glioblastoma. We demonstrated that changes in cell migration ability specifically altered mTORC2-associated proteins. GSN was identified as one of the most dynamic proteins. The mTORC2-GSN linkage was mostly highlighted in high-grade glioma cells, connecting functional mTORC2 to multiple proteins responsible for directional cell movement in GBM. Loss of GSN disconnected mTORC2 from numerous cytoskeletal proteins and affected the membrane localization of mTORC2. In addition, we reported 86 stable mTORC2-interacting proteins involved in diverse molecular functions, predominantly cytoskeletal remodeling, in GBM. Our findings might help expand future opportunities for predicting the highly migratory phenotype of brain cancers in clinical investigations.
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Affiliation(s)
- Naphat Chantaravisoot
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Pathumwan, Bangkok, 10330, Thailand.
- Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
| | - Piriya Wongkongkathep
- Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
- Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Nuttiya Kalpongnukul
- Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Narawit Pacharakullanon
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Pathumwan, Bangkok, 10330, Thailand
| | - Pornchai Kaewsapsak
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Pathumwan, Bangkok, 10330, Thailand
- Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Chaiyaboot Ariyachet
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Pathumwan, Bangkok, 10330, Thailand
- Center of Excellence in Hepatitis and Liver Cancer, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Joseph A Loo
- Department of Chemistry and Biochemistry, University of California, Los Angeles, CA, 90095, USA
- UCLA/DOE Institute of Genomics and Proteomics, University of California, Los Angeles, CA, 90095, USA
- Department of Biological Chemistry, University of California, Los Angeles, CA, 90095, USA
| | - Fuyuhiko Tamanoi
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, CA, 90095, USA
- Institute for Integrated Cell-Material Sciences, Institute for Advanced Study, Kyoto University, Kyoto, 606-8501, Japan
| | - Trairak Pisitkun
- Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
- Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
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13
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Wang Y, Sakaguchi M, Sabit H, Tamai S, Ichinose T, Tanaka S, Kinoshita M, Uchida Y, Ohtsuki S, Nakada M. COL1A2 inhibition suppresses glioblastoma cell proliferation and invasion. J Neurosurg 2023; 138:639-648. [PMID: 35932265 DOI: 10.3171/2022.6.jns22319] [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: 02/07/2022] [Accepted: 06/01/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE An extracellular matrix such as collagen is an essential component of the tumor microenvironment. Collagen alpha-2(I) chain (COL1A2) is a chain of type I collagen whose triple helix comprises two alpha-1 chains and one alpha-2 chain. The authors' proteomics data showed that COL1A2 is significantly higher in the blood of patients with glioblastoma (GBM) compared with healthy controls. COL1A2 has many different functions in various types of cancers. However, the functions of COL1A2 in GBM are poorly understood. In this study, the authors analyzed the functions of COL1A2 and its signaling pathways in GBM. METHODS Surgical specimens and GBM cell lines (T98, U87, and U251) were used. The expression level of COL1A2 was examined using GBM tissues and normal brain tissues by quantitative real-time polymerase chain reaction. The clinical significance of these levels was evaluated using Kaplan-Meier analysis. Small interfering RNA (siRNA) and small hairpin RNA of COL1A2 were transfected into GBM cell lines to investigate the function of COL1A2 in vitro and in vivo. Flow cytometry was introduced to analyze the alteration of cell cycles. Western blot and immunohistochemistry were performed to analyze the underlying mechanisms. RESULTS The expression level of COL1A2 was upregulated in GBM compared with normal brain tissues. A higher expression of COL1A2 was correlated with poor progression-free survival and overall survival. COL1A2 inhibition significantly suppressed cell proliferation in vitro and in vivo, likely due to G1 arrest. The invasion ability was notably deteriorated by inhibiting COL1A2. Cyclin D1, cyclin-dependent kinase 1, and cyclin-dependent kinase 4, which are involved in the cell cycle, were all downregulated after blockade of COL1A2 in vitro and in vivo. Phosphoinositide 3-kinase inhibitor reduced the expression of COL1A2. Although downregulation of COL1A2 decreased the protein kinase B (Akt) phosphorylation, Akt activator can phosphorylate Akt in siRNA-treated cells. This finding suggests that Akt phosphorylation is partially dependent on COL1A2. CONCLUSIONS COL1A2 plays an important role in driving GBM progression. COL1A2 inhibition attenuated GBM proliferation by promoting cell cycle arrest, indicating that COL1A2 could be a promising therapeutic target for GBM treatment.
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Affiliation(s)
- Yi Wang
- 1Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa
| | - Maki Sakaguchi
- 1Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa.,2Department of Diagnostic Pathology, Kanazawa University Hospital, Kanazawa
| | - Hemragul Sabit
- 1Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa
| | - Sho Tamai
- 1Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa
| | - Toshiya Ichinose
- 1Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa
| | - Shingo Tanaka
- 1Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa
| | - Masashi Kinoshita
- 1Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa
| | - Yasuo Uchida
- 3Division of Membrane Transport and Drug Targeting, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai; and
| | - Sumio Ohtsuki
- 4Department of Pharmaceutical Microbiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Mitsutoshi Nakada
- 1Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa
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14
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Abstract
An ideal biomarker must meet several parameters to enable its successful adoption; however, the nature of glioma makes it challenging to discover valuable biomarkers. While biomarkers require simplicity for clinical implementation, anatomical features and the complexity of the brain make it challenging to perform histological examination. Therefore, compared to biomarkers from general histological examination, liquid biomarkers for brain disease offer many more advantages in these minimally invasive methods. Ideal biomarkers should have high sensitivity and specificity, especially in malignant tumors. The heterogeneous nature of glioma makes it challenging to determine useful common biomarkers, and no liquid biomarker has yet been adopted clinically. The low incidence of brain tumors also hinders research progress. To overcome these problems, clinical applications of new types of specimens, such as extracellular vesicles and comprehensive omics analysis, have been developed, and some candidate liquid biomarkers have been identified. As against previous reviews, we focused on and reviewed the sensitivity and specificity of each liquid biomarker for its clinical application. Perusing an ideal glioma biomarker would help uncover the common underlying mechanism of glioma and develop new therapeutic targets. Further multicenter studies based on these findings will help establish new treatment strategies in the future.
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15
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Discovering Glioma Tissue through Its Biomarkers' Detection in Blood by Raman Spectroscopy and Machine Learning. Pharmaceutics 2023; 15:pharmaceutics15010203. [PMID: 36678833 PMCID: PMC9862809 DOI: 10.3390/pharmaceutics15010203] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 12/27/2022] [Accepted: 12/29/2022] [Indexed: 01/11/2023] Open
Abstract
The most commonly occurring malignant brain tumors are gliomas, and among them is glioblastoma multiforme. The main idea of the paper is to estimate dependency between glioma tissue and blood serum biomarkers using Raman spectroscopy. We used the most common model of human glioma when continuous cell lines, such as U87, derived from primary human tumor cells, are transplanted intracranially into the mouse brain. We studied the separability of the experimental and control groups by machine learning methods and discovered the most informative Raman spectral bands. During the glioblastoma development, an increase in the contribution of lactate, tryptophan, fatty acids, and lipids in dried blood serum Raman spectra were observed. This overlaps with analogous results of glioma tissues from direct Raman spectroscopy studies. A non-linear relationship between specific Raman spectral lines and tumor size was discovered. Therefore, the analysis of blood serum can track the change in the state of brain tissues during the glioma development.
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16
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Nisa KU, Tarfeen N, Humaira, Wani S, Nisa Q, Ali S, Wali AF. Proteomic approaches in the study of cancers. Proteomics 2023. [DOI: 10.1016/b978-0-323-95072-5.00002-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
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17
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Cancer proteomics, current status, challenges, and future outlook. Proteomics 2023. [DOI: 10.1016/b978-0-323-95072-5.00011-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
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18
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Nisa MU, Farooq S, Ali S, Eachkoti R, Rehman MU, Hafiz S. Proteomics: A modern tool for identifying therapeutic targets in different types of carcinomas. Proteomics 2023. [DOI: 10.1016/b978-0-323-95072-5.00013-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
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19
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Ahmed M, Semreen AM, El-Huneidi W, Bustanji Y, Abu-Gharbieh E, Alqudah MAY, Alhusban A, Shara M, Abuhelwa AY, Soares NC, Semreen MH, Alzoubi KH. Preclinical and Clinical Applications of Metabolomics and Proteomics in Glioblastoma Research. Int J Mol Sci 2022; 24:ijms24010348. [PMID: 36613792 PMCID: PMC9820403 DOI: 10.3390/ijms24010348] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 12/20/2022] [Accepted: 12/21/2022] [Indexed: 12/28/2022] Open
Abstract
Glioblastoma (GB) is a primary malignancy of the central nervous system that is classified by the WHO as a grade IV astrocytoma. Despite decades of research, several aspects about the biology of GB are still unclear. Its pathogenesis and resistance mechanisms are poorly understood, and methods to optimize patient diagnosis and prognosis remain a bottle neck owing to the heterogeneity of the malignancy. The field of omics has recently gained traction, as it can aid in understanding the dynamic spatiotemporal regulatory network of enzymes and metabolites that allows cancer cells to adjust to their surroundings to promote tumor development. In combination with other omics techniques, proteomic and metabolomic investigations, which are a potent means for examining a variety of metabolic enzymes as well as intermediate metabolites, might offer crucial information in this area. Therefore, this review intends to stress the major contribution these tools have made in GB clinical and preclinical research and highlights the crucial impacts made by the integrative "omics" approach in reducing some of the therapeutic challenges associated with GB research and treatment. Thus, our study can purvey the use of these powerful tools in research by serving as a hub that particularly summarizes studies employing metabolomics and proteomics in the realm of GB diagnosis, treatment, and prognosis.
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Affiliation(s)
- Munazza Ahmed
- Department of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates
- Research Institute for Medical Health Sciences, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Ahlam M. Semreen
- Department of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates
- Research Institute for Medical Health Sciences, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Waseem El-Huneidi
- Research Institute for Medical Health Sciences, University of Sharjah, Sharjah 27272, United Arab Emirates
- Department of Basic Medical Sciences, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Yasser Bustanji
- Department of Basic and Clinical Pharmacology, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates
- School of Pharmacy, The University of Jordan, Amman 11942, Jordan
| | - Eman Abu-Gharbieh
- Research Institute for Medical Health Sciences, University of Sharjah, Sharjah 27272, United Arab Emirates
- Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Mohammad A. Y. Alqudah
- Department of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates
- Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid 22110, Jordan
| | - Ahmed Alhusban
- Department of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates
- Research Institute for Medical Health Sciences, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Mohd Shara
- Department of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Ahmad Y. Abuhelwa
- Department of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates
- Research Institute for Medical Health Sciences, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Nelson C. Soares
- Research Institute for Medical Health Sciences, University of Sharjah, Sharjah 27272, United Arab Emirates
- Department of Medicinal Chemistry, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Mohammad H. Semreen
- Research Institute for Medical Health Sciences, University of Sharjah, Sharjah 27272, United Arab Emirates
- Department of Medicinal Chemistry, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates
- Correspondence: (M.H.S.); (K.H.A.)
| | - Karem H. Alzoubi
- Department of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates
- Research Institute for Medical Health Sciences, University of Sharjah, Sharjah 27272, United Arab Emirates
- Correspondence: (M.H.S.); (K.H.A.)
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20
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Danko K, Lukasheva E, Zhukov VA, Zgoda V, Frolov A. Detergent-Assisted Protein Digestion-On the Way to Avoid the Key Bottleneck of Shotgun Bottom-Up Proteomics. Int J Mol Sci 2022; 23:13903. [PMID: 36430380 PMCID: PMC9695859 DOI: 10.3390/ijms232213903] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/02/2022] [Accepted: 11/05/2022] [Indexed: 11/16/2022] Open
Abstract
Gel-free bottom-up shotgun proteomics is the principal methodological platform for the state-of-the-art proteome research. This methodology assumes quantitative isolation of the total protein fraction from a complex biological sample, its limited proteolysis with site-specific proteases, analysis of the resulted peptides with nanoscaled reversed-phase high-performance liquid chromatography-(tandem) mass spectrometry (nanoRP-HPLC-MS and MS/MS), protein identification by sequence database search and peptide-based quantitative analysis. The most critical steps of this workflow are protein reconstitution and digestion; therefore, detergents and chaotropic agents are strongly mandatory to ensure complete solubilization of complex protein isolates and to achieve accessibility of all protease cleavage sites. However, detergents are incompatible with both RP separation and electrospray ionization (ESI). Therefore, to make LC-MS analysis possible, several strategies were implemented in the shotgun proteomics workflow. These techniques rely either on enzymatic digestion in centrifugal filters with subsequent evacuation of the detergent, or employment of MS-compatible surfactants, which can be degraded upon the digestion. In this review we comprehensively address all currently available strategies for the detergent-assisted proteolysis in respect of their relative efficiency when applied to different biological matrices. We critically discuss the current progress and the further perspectives of these technologies in the context of its advances and gaps.
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Affiliation(s)
- Katerina Danko
- Department of Biochemistry, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Elena Lukasheva
- Department of Biochemistry, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Vladimir A. Zhukov
- All-Russia Research Institute for Agricultural Microbiology, Podbelsky Chaussee 3, Pushkin, 196608 St. Petersburg, Russia
| | - Viktor Zgoda
- Institute of Biomedical Chemistry, 119121 Moscow, Russia
| | - Andrej Frolov
- K.A. Timiryazev Institute of Plant Physiology RAS, 127276 Moscow, Russia
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21
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Charlie-Silva I, Feitosa NM, Pontes LG, Fernandes BH, Nóbrega RH, Gomes JMM, Prata MNL, Ferraris FK, Melo DC, Conde G, Rodrigues LF, Aracati MF, Corrêa-Junior JD, Manrique WG, Superio J, Garcez AS, Conceição K, Yoshimura TM, Núñez SC, Eto SF, Fernandes DC, Freitas AZ, Ribeiro MS, Nedoluzhko A, Lopes-Ferreira M, Borra RC, Barcellos LJG, Perez AC, Malafaia G, Cunha TM, Belo MAA, Galindo-Villegas J. Plasma proteome responses in zebrafish following λ-carrageenan-Induced inflammation are mediated by PMN leukocytes and correlate highly with their human counterparts. Front Immunol 2022; 13:1019201. [PMID: 36248846 PMCID: PMC9559376 DOI: 10.3389/fimmu.2022.1019201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 09/09/2022] [Indexed: 11/23/2022] Open
Abstract
Regulation of inflammation is a critical process for maintaining physiological homeostasis. The λ-carrageenan (λ-CGN) is a mucopolysaccharide extracted from the cell wall of red algae (Chondrus crispus) capable of inducing acute intestinal inflammation, which is translated into the production of acute phase reactants secreted into the blood circulation. However, the associated mechanisms in vertebrates are not well understood. Here, we investigated the crucial factors behind the inflammatory milieu of λ-CGN-mediated inflammation administered at 0, 1.75, and 3.5% (v/w) by i.p. injection into the peritoneal cavity of adult zebrafish (ZF) (Danio rerio). We found that polymorphonuclear leukocytes (neutrophils) and lymphocytes infiltrating the ZF peritoneal cavity had short-term persistence. Nevertheless, they generate a strong pattern of inflammation that affects systemically and is enough to produce edema in the cavity. Consistent with these findings, cell infiltration, which causes notable tissue changes, resulted in the overexpression of several acute inflammatory markers at the protein level. Using reversed-phase high-performance liquid chromatography followed by a hybrid linear ion-trap mass spectrometry shotgun proteomic approach, we identified 2938 plasma proteins among the animals injected with PBS and 3.5% λ-CGN. First, the bioinformatic analysis revealed the composition of the plasma proteome. Interestingly, 72 commonly expressed proteins were recorded among the treated and control groups, but, surprisingly, 2830 novel proteins were differentially expressed exclusively in the λ-CGN-induced group. Furthermore, from the commonly expressed proteins, compared to the control group 62 proteins got a significant (p < 0.05) upregulation in the λ-CGN-treated group, while the remaining ten proteins were downregulated. Next, we obtained the major protein-protein interaction networks between hub protein clusters in the blood plasma of the λ-CGN induced group. Moreover, to understand the molecular underpinnings of these effects based on the unveiled protein sets, we performed a bioinformatic structural similarity analysis and generated overlapping 3D reconstructions between ZF and humans during acute inflammation. Biological pathway analysis pointed to the activation and abundance of diverse classical immune and acute phase reactants, several catalytic enzymes, and varied proteins supporting the immune response. Together, this information can be used for testing and finding novel pharmacological targets to treat human intestinal inflammatory diseases.
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Affiliation(s)
| | - Natália M. Feitosa
- Integrated Laboratory of Translational Bioscience, Institute of Biodiversity and Sustainability, Federal University of Rio de Janeiro, Macaé, Brazil
| | | | - Bianca H. Fernandes
- Laboratório de Controle Genético e Sanitário, Faculdade de Medicina Universidade de São Paulo, São Paulo, Brazil
| | - Rafael H. Nóbrega
- Reproductive and Molecular Biology Group, Department of Morphology, Institute of Biosciences, São Paulo State University, São Paulo, Brazil
| | - Juliana M. M. Gomes
- Transplantation Immunobiology Lab, Department of Immunology, Institute of Biomedical Sciences, Universidade de São Paulo, São Paulo, Brazil
| | - Mariana N. L. Prata
- Department of Pharmacology, Instituto de CiênciasBiomédicas-Universidade Federal de Minas Gerais (ICB-UFMG), Belo Horizonte, Brazil
| | - Fausto K. Ferraris
- Department of Pharmacology and Toxicology, Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil
| | - Daniela C. Melo
- Laboratory of Zebrafish from Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Gabriel Conde
- Department of Preventive Veterinary Medicine, São Paulo State University, São Paulo, Brazil
| | - Letícia F. Rodrigues
- Department of Preventive Veterinary Medicine, São Paulo State University, São Paulo, Brazil
| | - Mayumi F. Aracati
- Department of Preventive Veterinary Medicine, São Paulo State University, São Paulo, Brazil
| | - José D. Corrêa-Junior
- Department of Morphology, Instituto de CiênciasBiomédicas-Universidade Federal de Minas Gerais (ICB-UFMG), Belo Horizonte, Brazil
| | - Wilson G. Manrique
- Veterinary College, Federal University of Rondonia, Rolim de Moura, Brazil
| | - Joshua Superio
- Department of Aquaculture, Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
| | | | - Katia Conceição
- Peptide Biochemistry Laboratory, Universidade Federal de São Paulo (UNIFESP), Sao Jose Dos Campos, Brazil
| | - Tania M. Yoshimura
- Center for Lasers and Applications, Instituto de PesquisasEnergéticas e Nucleares (IPEN-CNEN), Sao Paulo, Brazil
| | - Silvia C. Núñez
- University Brazil, São Paulo, Brazil
- University Brazil, Descalvado, Brazil
| | - Silas F. Eto
- Development and Innovation Laboratory, Center of Innovation and Development, Butantan Institute, São Paulo, Brazil
| | - Dayanne C. Fernandes
- Department of Preventive Veterinary Medicine, São Paulo State University, São Paulo, Brazil
| | - Anderson Z. Freitas
- Center for Lasers and Applications, Instituto de PesquisasEnergéticas e Nucleares (IPEN-CNEN), Sao Paulo, Brazil
| | - Martha S. Ribeiro
- Center for Lasers and Applications, Instituto de PesquisasEnergéticas e Nucleares (IPEN-CNEN), Sao Paulo, Brazil
| | - Artem Nedoluzhko
- Paleogenomics Laboratory, European University at Saint Petersburg, Saint Petersburg, Russia
| | | | - Ricardo C. Borra
- Department of Genetics and Evolution, Federal University of São Carlos, São Paulo, Brazil
| | - Leonardo J. G. Barcellos
- Postgraduate Program in Pharmacology, Federal University of Santa Maria, Rio Grande do Sul, Brazil
- Postgraduate Program in Bioexperimentation. University of Passo Fundo, Rio Grande do Sul, Brazil
| | - Andrea C. Perez
- Department of Pharmacology and Toxicology, Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil
| | - Guilheme Malafaia
- Biological Research Laboratory, Goiano Federal Institute, Urutaí, Brazil
| | - Thiago M. Cunha
- Center of Research in Inflammatory Diseases, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
- Department of Pharmacology, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Marco A. A. Belo
- Department of Preventive Veterinary Medicine, São Paulo State University, São Paulo, Brazil
- University Brazil, São Paulo, Brazil
- University Brazil, Descalvado, Brazil
- *Correspondence: Marco A. A. Belo, ; Jorge Galindo-Villegas,
| | - Jorge Galindo-Villegas
- Department of Genomics, Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
- *Correspondence: Marco A. A. Belo, ; Jorge Galindo-Villegas,
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22
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Hsieh CH, Wang YC. Emerging roles of plasma gelsolin in tumorigenesis and modulating the tumor microenvironment. Kaohsiung J Med Sci 2022; 38:819-825. [PMID: 35942641 DOI: 10.1002/kjm2.12578] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 07/18/2022] [Accepted: 07/18/2022] [Indexed: 02/06/2023] Open
Abstract
The protein expression of gelsolin, an actin scavenger controlling cytoskeletal remodeling, cell morphology, differentiation, movement, and apoptosis, has been found to be significantly decreased in several pathological conditions including neurodegenerative diseases, inflammatory disorders, and cancers. Its extracellular isoform, called plasma gelsolin (pGSN), is one of the most abundant plasma proteins in the circulation, and has emerged as a novel diagnostic biomarker for early disease detection. Current evidence reveals that gelsolin can function as either an oncoprotein or a tumor suppressor depending on the carcinoma type. Interestingly, recent studies have shown that pGSN is also involved in immunomodulation, revealing the multifunctional roles of pGSN in tumor progression. In this review, we discuss the current knowledge focusing on the roles of gelsolin in inflammation and wound healing, cancers, and tumor microenvironment. Future prospects of pGSN related studies and clinical application are also addressed.
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Affiliation(s)
- Chih-Hsiung Hsieh
- Department of Pharmacology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yi-Ching Wang
- Department of Pharmacology, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Institute of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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Gilson Sena IF, Fernandes LL, Lorandi LL, Santana TV, Cintra L, Lima IF, Iwai LK, Kramer JM, Birbrair A, Heller D. Identification of early biomarkers in saliva in genetically engineered mouse model C(3)1-TAg of breast cancer. Sci Rep 2022; 12:11544. [PMID: 35798767 PMCID: PMC9263110 DOI: 10.1038/s41598-022-14514-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 06/08/2022] [Indexed: 11/09/2022] Open
Abstract
Breast cancer is one of leading causes of death worldwide in the female population. Deaths from breast cancer could be reduced significantly through earlier and more efficient detection of the disease. Saliva, an oral fluid that contains an abundance of protein biomarkers, has been recognized as a promising diagnostic biofluid that is easy to isolate through non-invasive techniques. Assays on saliva can be performed rapidly and are cost-effective. Therefore, our work aimed to identify salivary biomarkers present in the initial stages of breast cancer, where cell alterations are not yet detectable by histopathological analysis. Using state-of-the-art techniques, we employed a transgenic mouse model of mammary cancer to identify molecular changes in precancerous stage breast cancer through protein analysis in saliva. Through corroborative molecular approaches, we established that proteins related to metabolic changes, inflammatory process and cell matrix degradation are detected in saliva at the onset of tumor development. Our work demonstrated that salivary protein profiles can be used to identify cellular changes associated with precancerous stage breast cancer through non-invasive means even prior to biopsy-evident disease.
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Affiliation(s)
| | | | | | | | | | - Ismael Feitosa Lima
- Laboratory of Applied Toxicology, Center of Toxins, Immune-Response and Cell Signaling (LETA/CeTICS), Instituto Butantan, São Paulo, Brazil
| | - Leo Kei Iwai
- Laboratory of Applied Toxicology, Center of Toxins, Immune-Response and Cell Signaling (LETA/CeTICS), Instituto Butantan, São Paulo, Brazil
| | - Jill M Kramer
- Department of Oral Biology, School of Dental Medicine, The University of Buffalo, State University of New York, Buffalo, NY, USA
| | - Alexander Birbrair
- Department of Pathology, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil. .,Department of Dermatology, Medical Sciences Center, University of Wisconsin-Madison, Rm 4385, 1300 University Avenue, Madison, WI, 53706, USA. .,Department of Radiology, Columbia University Medical Center, New York, NY, USA.
| | - Débora Heller
- Post Graduate Program in Dentistry, Cruzeiro do Sul University, São Paulo, Brazil. .,Hospital Israelita Albert Einstein, São Paulo, Brazil. .,Department of Periodontology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA.
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Senhaji N, Squalli Houssaini A, Lamrabet S, Louati S, Bennis S. Molecular and Circulating Biomarkers in Patients with Glioblastoma. Int J Mol Sci 2022; 23:7474. [PMID: 35806478 PMCID: PMC9267689 DOI: 10.3390/ijms23137474] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 04/28/2022] [Accepted: 05/16/2022] [Indexed: 02/04/2023] Open
Abstract
Glioblastoma is the most aggressive malignant tumor of the central nervous system with a low survival rate. The difficulty of obtaining this tumor material represents a major limitation, making the real-time monitoring of tumor progression difficult, especially in the events of recurrence or resistance to treatment. The identification of characteristic biomarkers is indispensable for an accurate diagnosis, the rigorous follow-up of patients, and the development of new personalized treatments. Liquid biopsy, as a minimally invasive procedure, holds promise in this regard. The purpose of this paper is to summarize the current literature regarding the identification of molecular and circulating glioblastoma biomarkers and the importance of their integration as a valuable tool to improve patient care.
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Affiliation(s)
- Nadia Senhaji
- Department of Biology, Faculty of Sciences, Moulay Ismail University, Meknes 50000, Morocco
- Laboratory of Biomedical and Translational Research, Faculty of Medicine, Pharmacy and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez 30070, Morocco; (A.S.H.); (S.L.); (S.B.)
| | - Asmae Squalli Houssaini
- Laboratory of Biomedical and Translational Research, Faculty of Medicine, Pharmacy and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez 30070, Morocco; (A.S.H.); (S.L.); (S.B.)
| | - Salma Lamrabet
- Laboratory of Biomedical and Translational Research, Faculty of Medicine, Pharmacy and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez 30070, Morocco; (A.S.H.); (S.L.); (S.B.)
| | - Sara Louati
- Medical Biotechnology Laboratory, Faculty of Medicine and Pharmacy of Rabat, Mohammed Vth University, Rabat 10000, Morocco;
| | - Sanae Bennis
- Laboratory of Biomedical and Translational Research, Faculty of Medicine, Pharmacy and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez 30070, Morocco; (A.S.H.); (S.L.); (S.B.)
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25
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Ravuri HG, Sadowski P, Noor Z, Satake N, Mills PC. Plasma proteomic changes in response to surgical trauma and a novel transdermal analgesic treatment in dogs. J Proteomics 2022; 265:104648. [PMID: 35691609 DOI: 10.1016/j.jprot.2022.104648] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 05/16/2022] [Accepted: 06/01/2022] [Indexed: 10/18/2022]
Abstract
Assessment of pain responses and inflammation during animal surgery is difficult because traditional methods, such as visual analogue scores, are not applicable while under anaesthesia. Acute phase proteins (APPs), such as C-reactive protein and haptoglobin, that are typically monitored in veterinary research, do not show a significant change until at least 2 h post-surgery and therefore, immediate pathophysiological changes are uncertain. The current study used sequential window acquisition of all theoretical mass spectra (SWATH-MS) to investigate plasma proteome changes that occur immediately following surgery in dogs and also to assess the efficacy of a novel transdermal ketoprofen (TK) formulation. Castration was chosen as surgical model in this study. The procedure was performed on twelve dogs (n = 6 in two groups) and blood samples were collected at 0 h, 1 and 2 h after surgery for proteomic analysis. Following surgery, there was a general downregulation of proteins, including complement C- 3, complement factor B, complement factor D, transthyretin, and proteins associated with lipid, cholesterol, and glucose metabolisms, reflecting the systemic response to surgical trauma. Many of these changes were diminished in the transdermal group (TD) since ketoprofen, a non-steroidal anti-inflammatory drug (NSAID), inhibits prostanoids and the associated chemotactic neutrophil migration to site of tissue injury. SIGNIFICANCE: SWATH-MS Proteomic analysis revealed significant changes in plasma proteins, predominantly involved in early acute phase and inflammatory response at 1 & 2 h after surgery in castrated dogs. Pre-operative application of transdermal ketoprofen formulation had reduced the systemic immune response, which was confirmed by negligible alteration of proteins in transdermal treated group. A key outcome of this experiment was studying the efficacy of a novel transdermal NSAID formulation in dogs.
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Affiliation(s)
- Halley Gora Ravuri
- School of Veterinary Science, The University of Queensland, Gatton, QLD, Australia
| | - Pawel Sadowski
- Central Analytical Research Facility, Queensland University of Technology, Brisbane, QLD, Australia
| | - Zainab Noor
- ProCan, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW, Australia
| | - Nana Satake
- School of Veterinary Science, The University of Queensland, Gatton, QLD, Australia
| | - Paul C Mills
- School of Veterinary Science, The University of Queensland, Gatton, QLD, Australia.
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26
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Han S, Zhao W, Wang C, Wang Y, Song R, Haller H, Jiang H, Chen J. Preliminary Investigation of the Biomarkers of Acute Renal Transplant Rejection Using Integrated Proteomics Studies, Gene Expression Omnibus Datasets, and RNA Sequencing. Front Med (Lausanne) 2022; 9:905464. [PMID: 35646951 PMCID: PMC9133438 DOI: 10.3389/fmed.2022.905464] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Accepted: 04/11/2022] [Indexed: 11/23/2022] Open
Abstract
A kidney transplant is often the best treatment for end-stage renal disease. Although immunosuppressive therapy sharply reduces the occurrence of acute allograft rejection (AR), it remains the main cause of allograft dysfunction. We aimed to identify effective biomarkers for AR instead of invasive kidney transplant biopsy. We integrated the results of several proteomics studies related to AR and utilized public data sources. Gene ontology (GO) and pathway analyses were used to identify important biological processes and pathways. The performance of the identified proteins was validated using several public gene expression omnibus (GEO) datasets. Samples that performed well were selected for further validation through RNA sequencing of peripheral blood mononuclear cells of patients with AR (n = 16) and non-rejection (n = 19) from our medical center. A total of 25 differentially expressed proteins (DEPs) overlapped in proteomic studies of urine and blood samples. GO analysis showed that the DEPs were mainly involved in the immune system and blood coagulation. Pathway analysis showed that the complement and coagulation cascade pathways were well enriched. We found that immunoglobulin heavy constant alpha 1 (IGHA1) and immunoglobulin κ constant (IGKC) showed good performance in distinguishing AR from non-rejection groups validated with several GEO datasets. Through RNA sequencing, the combination of IGHA1, IGKC, glomerular filtration rate, and donor age showed good performance in the diagnosis of AR with ROC AUC 91.4% (95% CI: 82–100%). Our findings may contribute to the discovery of potential biomarkers for AR monitoring.
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Affiliation(s)
- Shuai Han
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Nephropathy, Hangzhou, China
- Institute of Nephropathy, Zhejiang University, Hangzhou, China
- Zhejiang Clinical Research Center of Kidney and Urinary System Disease, Hangzhou, China
| | - Wenjun Zhao
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Nephropathy, Hangzhou, China
- Institute of Nephropathy, Zhejiang University, Hangzhou, China
- Zhejiang Clinical Research Center of Kidney and Urinary System Disease, Hangzhou, China
| | - Cuili Wang
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Nephropathy, Hangzhou, China
- Institute of Nephropathy, Zhejiang University, Hangzhou, China
- Zhejiang Clinical Research Center of Kidney and Urinary System Disease, Hangzhou, China
| | - Yucheng Wang
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Nephropathy, Hangzhou, China
- Institute of Nephropathy, Zhejiang University, Hangzhou, China
- Zhejiang Clinical Research Center of Kidney and Urinary System Disease, Hangzhou, China
| | - Rong Song
- Department of Nephrology, Hannover Medical School, Hanover, Germany
| | - Hermann Haller
- Department of Nephrology, Hannover Medical School, Hanover, Germany
| | - Hong Jiang
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Nephropathy, Hangzhou, China
- Institute of Nephropathy, Zhejiang University, Hangzhou, China
- Zhejiang Clinical Research Center of Kidney and Urinary System Disease, Hangzhou, China
- *Correspondence: Hong Jiang,
| | - Jianghua Chen
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Nephropathy, Hangzhou, China
- Institute of Nephropathy, Zhejiang University, Hangzhou, China
- Zhejiang Clinical Research Center of Kidney and Urinary System Disease, Hangzhou, China
- Jianghua Chen,
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27
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Jin Y, Wang W, Wang Q, Zhang Y, Zahid KR, Raza U, Gong Y. Alpha-1-antichymotrypsin as a novel biomarker for diagnosis, prognosis, and therapy prediction in human diseases. Cancer Cell Int 2022; 22:156. [PMID: 35439996 PMCID: PMC9019971 DOI: 10.1186/s12935-022-02572-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 04/06/2022] [Indexed: 12/15/2022] Open
Abstract
The glycoprotein alpha-1-antichymotrypsin (AACT), a serine protease inhibitor, is mainly synthesized in the liver and then secreted into the blood and is involved in the acute phase response, inflammation, and proteolysis. The dysregulation of AACT and its glycosylation levels are associated with tumor progression and recurrence, and could be used as a biomarker for tumor monitoring. In this review, we summarized the expression level, glycosylation modification, and biological characteristics of AACT during inflammation, neurodegenerative or other elderly diseases, and tumorigenesis, as well as, focused on the biological roles of AACT in cancer. The aberrant expression of AACT in cancer might be due to genetic alterations and/or immune by bioinformatics analysis. Moreover, AACT may serve as a diagnostic or prognostic biomarker or therapeutic target in tumors. Furthermore, we found that the expression of AACT was associated with the overall survival of patients with human cancers. Decreased AACT expression was associated with poor survival in patients with liver cancer, increased AACT expression was associated with shorter survival in patients with pancreatic cancer, and decreased AACT expression was associated with shorter survival in patients with early lung cancer. The review confirmed the key roles of AACT in tumorigenesis, suggesting that the glycoprotein AACT may serve as a biomarker for tumor diagnosis and prognosis, and could be a potential therapeutic target for human diseases.
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Affiliation(s)
- Yanxia Jin
- Hubei Key Laboratory of Edible Wild Plants Conservation and Utilization, College of Life Sciences, Hubei Normal University, No. 11 Cihu Road, Huangshi District, Huangshi, 435002, China
| | - Weidong Wang
- College of Life Sciences, Hubei Normal University, No. 11 Cihu Road, Huangshi District, Huangshi, 435002, China.
| | - Qiyun Wang
- Hubei Key Laboratory of Edible Wild Plants Conservation and Utilization, College of Life Sciences, Hubei Normal University, No. 11 Cihu Road, Huangshi District, Huangshi, 435002, China
| | - Yueyang Zhang
- Hubei Key Laboratory of Edible Wild Plants Conservation and Utilization, College of Life Sciences, Hubei Normal University, No. 11 Cihu Road, Huangshi District, Huangshi, 435002, China
| | - Kashif Rafiq Zahid
- Shenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Science and Oceanography, Carson International Cancer Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Umar Raza
- Department of Biological Sciences, National University of Medical Sciences (NUMS), PWD Campus, Rawalpindi, Pakistan
| | - Yongsheng Gong
- Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, No.26 Daoqian Street, Suzhou, 215002, China.
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SRPX Emerges as a Potential Tumor Marker in the Extracellular Vesicles of Glioblastoma. Cancers (Basel) 2022; 14:cancers14081984. [PMID: 35454889 PMCID: PMC9028996 DOI: 10.3390/cancers14081984] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 04/08/2022] [Accepted: 04/10/2022] [Indexed: 02/01/2023] Open
Abstract
Simple Summary Glioblastoma is the most common malignant primary brain tumor and remains incurable. Additionally, there are only a few non-invasive early diagnostic and prognostic markers for this disease. The stability of extracellular vesicles (EVs) and their availability in patient serum make them ideal for discovery of early markers associated with diagnosis, prognosis, and treatment response for glioblastoma. In this study, we used proteomics analysis to discover a novel tumor biomarker in glioblastoma human primary cell-derived EVs and found that sushi-repeat containing protein X-linked (SRPX) was the only protein identified in the majority of glioblastoma EVs that was absent in the HPA-derived EVs. Moreover, we further analyzed the possible role of SRPX in glioblastoma tumorigenesis and found that SRPX is involved in glioblastoma cell growth, and SRPX depletion sensitizes glioblastoma to temozolomide (TMZ). Taken together, our results suggest that SRPX can be used as a novel tumor biomarker for diagnostic and prognostic purposes for glioblastomas. Abstract Extracellular vesicles (EVs) may be used as a non-invasive screening platform to discover markers associated with early diagnosis, prognosis, and treatment response. Such an approach is invaluable for diseases such as glioblastoma, for which only a few non-invasive diagnostic or prognostic markers are available. We used mass spectrometry to analyze proteomics profiles of EVs derived from four glioblastoma cell lines and human primary astrocytes (HPAs) and found that SRPX is the only protein enriched in the majority of glioblastoma EVs that was absent in the HPA-derived EVs. Then, we evaluated the relationship between SRPX protein expression and tumor grade using immunohistochemical staining (IHC) and performed colony formation and viability assays to analyze the possible function of SRPX in glioblastoma. SRPX mRNA and protein expression were associated with tumor grade. Moreover, temozolomide (TMZ)-resistant tumor tissues showed highly positive SRPX staining, compared to all other tumor grades. Additionally, glioblastoma cells displayed enhanced SRPX gene expression when exposed to TMZ. Knockdown of SRPX gene expression via siRNA inhibited cell viability. Taken together, the results of this study suggest that SRPX can be used as a novel tumor marker for diagnostic and prognostic purposes and can also be a therapeutic target for glioblastomas.
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Sun J, Wang L. HOXA-AS2 enhances GBM cell malignancy by suppressing miR-2116-3p thereby upregulating SERPINA3. BMC Cancer 2022; 22:366. [PMID: 35387643 PMCID: PMC8985346 DOI: 10.1186/s12885-022-09462-y] [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: 06/18/2021] [Accepted: 02/07/2022] [Indexed: 11/10/2022] Open
Abstract
Background Glioblastoma (GBM) is malignant, demanding more attention to the improvement of the diagnosis and therapy. LncRNAs have been implicated in the malignancy of GBM cells. Methods HOXA-AS2, miR-2116-3p and SERPINA3 expression levels in GBM tissues and cell lines were detected by qRT-PCR. Western blotting was performed to detect the protein levels of Bax and Bcl-2. Dual-luciferase reporter assay was for detection of relationship among these factors, together with RIP and RNA pull-down. CCK-8, EdU, wound healing and transwell assays were for detection of the role of HOXA-AS2, miR-2116-3p and SERPINA3 in cell viability, proliferation, migration and invasion in GBM, respectively. Results HOXA-AS2 and SERPINA3 showed higher level in GBM tissues and cell lines. Low level of HOXA-AS2 attenuated GBM cell growth in vitro. Moreover, the anti-tumor impact of silenced HOXA-AS2 was restored by miR-2116-3p inhibitor, but its tumor-promotional effect could be reversed by silenced SERPINA3. Conclusion HOXA-AS2 enhanced GBM cell malignancy through sponging miR-2116-3p and releasing SERPINA3, which might shed light on the diagnosis and therapy for GBM in the future. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-09462-y.
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Affiliation(s)
- Jianrui Sun
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe East Road, Zhengzhou, 450052, Henan, China.
| | - Lin Wang
- Information Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China
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Graham RLJ, McMullen AA, Moore G, Dempsey-Hibbert NC, Myers B, Graham C. SWATH-MS identification of CXCL7, LBP, TGFβ1 and PDGFRβ as novel biomarkers in human systemic mastocytosis. Sci Rep 2022; 12:5087. [PMID: 35332176 PMCID: PMC8948255 DOI: 10.1038/s41598-022-08345-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 03/07/2022] [Indexed: 12/11/2022] Open
Abstract
Mastocytosis is a rare myeloproliferative disease, characterised by accumulation of neoplastic mast cells in one or several organs. It presents as cutaneous or systemic. Patients with advanced systemic mastocytosis have a median survival of 3.5 years. The aetiology of mastocytosis is poorly understood, patients present with a broad spectrum of varying clinical symptoms that lack specificity to point clearly to a definitive diagnosis. Discovery of novel blood borne biomarkers would provide a tractable method for rapid identification of mastocytosis and its sub-types. Moving towards this goal, we carried out a clinical biomarker study on blood from twenty individuals (systemic mastocytosis: n = 12, controls: n = 8), which were subjected to global proteome investigation using the novel technology SWATH-MS. This identified several putative biomarkers for systemic mastocytosis. Orthogonal validation of these putative biomarkers was achieved using ELISAs. Utilising this workflow, we identified and validated CXCL7, LBP, TGFβ1 and PDGF receptor-β as novel biomarkers for systemic mastocytosis. We demonstrate that CXCL7 correlates with neutrophil count offering a new insight into the increased prevalence of anaphylaxis in mastocytosis patients. Additionally, demonstrating the utility of SWATH-MS for the discovery of novel biomarkers in the systemic mastocytosis diagnostic sphere.
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Affiliation(s)
- R L J Graham
- School of Biological Sciences, Queens University Belfast, Chlorine Gardens, Belfast, BT9 5DL, UK
| | - A A McMullen
- Department of Life Sciences, Manchester Metropolitan University, Manchester, M1 5GD, UK
| | - G Moore
- School of Biological Sciences, Queens University Belfast, Chlorine Gardens, Belfast, BT9 5DL, UK
| | - N C Dempsey-Hibbert
- Department of Life Sciences, Manchester Metropolitan University, Manchester, M1 5GD, UK
| | - B Myers
- University Hospitals of Leicester NHS Trust, Leicester, LE3 9QP, UK
| | - C Graham
- School of Biological Sciences, Queens University Belfast, Chlorine Gardens, Belfast, BT9 5DL, UK.
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31
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Ravuri HG, Noor Z, Mills PC, Satake N, Sadowski P. Data-Independent Acquisition Enables Robust Quantification of 400 Proteins in Non-Depleted Canine Plasma. Proteomes 2022; 10:9. [PMID: 35324581 PMCID: PMC8953371 DOI: 10.3390/proteomes10010009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/25/2022] [Accepted: 02/22/2022] [Indexed: 12/30/2022] Open
Abstract
Mass spectrometry-based plasma proteomics offers a major advance for biomarker discovery in the veterinary field, which has traditionally been limited to quantification of a small number of proteins using biochemical assays. The development of foundational data and tools related to sequential window acquisition of all theoretical mass spectra (SWATH)-mass spectrometry has allowed for quantitative profiling of a significant number of plasma proteins in humans and several animal species. Enabling SWATH in dogs enhances human biomedical research as a model species, and significantly improves diagnostic and disease monitoring capability. In this study, a comprehensive peptide spectral library specific to canine plasma proteome was developed and evaluated using SWATH for protein quantification in non-depleted dog plasma. Specifically, plasma samples were subjected to various orthogonal fractionation and digestion techniques, and peptide fragmentation data corresponding to over 420 proteins was collected. Subsequently, a SWATH-based assay was introduced that leveraged the developed resource and that enabled reproducible quantification of 400 proteins in non-depleted plasma samples corresponding to various disease conditions. The ability to profile the abundance of such a significant number of plasma proteins using a single method in dogs has the potential to accelerate biomarker discovery studies in this species.
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Affiliation(s)
- Halley Gora Ravuri
- School of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia; (H.G.R.); (P.C.M.)
| | - Zainab Noor
- ProCan, Children’s Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW 2145, Australia;
| | - Paul C. Mills
- School of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia; (H.G.R.); (P.C.M.)
| | - Nana Satake
- School of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia; (H.G.R.); (P.C.M.)
| | - Pawel Sadowski
- Central Analytical Research Facility, Queensland University of Technology, Brisbane, QLD 4000, Australia
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32
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Zou Y, Xu Y, Chen X, Wu Y, Fu L, Lv Y. Research Progress on Leucine-Rich Alpha-2 Glycoprotein 1: A Review. Front Pharmacol 2022; 12:809225. [PMID: 35095520 PMCID: PMC8797156 DOI: 10.3389/fphar.2021.809225] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 12/13/2021] [Indexed: 12/18/2022] Open
Abstract
Leucine-rich alpha⁃2 glycoprotein 1 (LRG1) is an important member of the leucine-rich repetitive sequence protein family. LRG1 was mainly involved in normal physiological activities of the nervous system, such as synapse formation, synapse growth, the development of nerve processes, neurotransmitter transfer and release, and cell adhesion molecules or ligand-binding proteins. Also, LRG1 affected the development of respiratory diseases, hematological diseases, endocrine diseases, tumor diseases, eye diseases, cardiovascular diseases, rheumatic immune diseases, infectious diseases, etc. LRG1 was a newly discovered important upstream signaling molecule of transforming growth factor⁃β (TGF⁃β) that affected various pathological processes through the TGF⁃β signaling pathway. However, research on LRG1 and its involvement in the occurrence and development of diseases was still in its infancy and the current studies were mainly focused on proteomic detection and basic animal experimental reports. We could reasonably predict that LRG1 might act as a new direction and strategy for the treatment of many diseases.
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Affiliation(s)
- Yonghui Zou
- Department of Pharmacy, The First Affiliated Hospital of Nanchang University, Nanchang, China.,School of Clinical Medicine, Nanchang University, Nanchang, China
| | - Yi Xu
- Department of Pharmacy, The First Affiliated Hospital of Nanchang University, Nanchang, China.,School of Clinical Medicine, Nanchang University, Nanchang, China
| | - Xiaofeng Chen
- Department of Pharmacy, The First Affiliated Hospital of Nanchang University, Nanchang, China.,School of Clinical Medicine, Nanchang University, Nanchang, China
| | - Yaoqi Wu
- Department of Pharmacy, The First Affiliated Hospital of Nanchang University, Nanchang, China.,College of Pharmacy, Nanchang University, Nanchang, China
| | - Longsheng Fu
- Department of Pharmacy, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yanni Lv
- Department of Pharmacy, The First Affiliated Hospital of Nanchang University, Nanchang, China
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Camilli C, Hoeh AE, De Rossi G, Moss SE, Greenwood J. LRG1: an emerging player in disease pathogenesis. J Biomed Sci 2022; 29:6. [PMID: 35062948 PMCID: PMC8781713 DOI: 10.1186/s12929-022-00790-6] [Citation(s) in RCA: 56] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 01/11/2022] [Indexed: 12/15/2022] Open
Abstract
The secreted glycoprotein leucine-rich α-2 glycoprotein 1 (LRG1) was first described as a key player in pathogenic ocular neovascularization almost a decade ago. Since then, an increasing number of publications have reported the involvement of LRG1 in multiple human conditions including cancer, diabetes, cardiovascular disease, neurological disease, and inflammatory disorders. The purpose of this review is to provide, for the first time, a comprehensive overview of the LRG1 literature considering its role in health and disease. Although LRG1 is constitutively expressed by hepatocytes and neutrophils, Lrg1-/- mice show no overt phenotypic abnormality suggesting that LRG1 is essentially redundant in development and homeostasis. However, emerging data are challenging this view by suggesting a novel role for LRG1 in innate immunity and preservation of tissue integrity. While our understanding of beneficial LRG1 functions in physiology remains limited, a consistent body of evidence shows that, in response to various inflammatory stimuli, LRG1 expression is induced and directly contributes to disease pathogenesis. Its potential role as a biomarker for the diagnosis, prognosis and monitoring of multiple conditions is widely discussed while dissecting the mechanisms underlying LRG1 pathogenic functions. Emphasis is given to the role that LRG1 plays as a vasculopathic factor where it disrupts the cellular interactions normally required for the formation and maintenance of mature vessels, thereby indirectly contributing to the establishment of a highly hypoxic and immunosuppressive microenvironment. In addition, LRG1 has also been reported to affect other cell types (including epithelial, immune, mesenchymal and cancer cells) mostly by modulating the TGFβ signalling pathway in a context-dependent manner. Crucially, animal studies have shown that LRG1 inhibition, through gene deletion or a function-blocking antibody, is sufficient to attenuate disease progression. In view of this, and taking into consideration its role as an upstream modifier of TGFβ signalling, LRG1 is suggested as a potentially important therapeutic target. While further investigations are needed to fill gaps in our current understanding of LRG1 function, the studies reviewed here confirm LRG1 as a pleiotropic and pathogenic signalling molecule providing a strong rationale for its use in the clinic as a biomarker and therapeutic target.
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Affiliation(s)
- Carlotta Camilli
- Institute of Ophthalmology, University College London, London, UK.
| | - Alexandra E Hoeh
- Institute of Ophthalmology, University College London, London, UK
| | - Giulia De Rossi
- Institute of Ophthalmology, University College London, London, UK
| | - Stephen E Moss
- Institute of Ophthalmology, University College London, London, UK
| | - John Greenwood
- Institute of Ophthalmology, University College London, London, UK
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Lin M, Liu J, Zhang F, Qi G, Tao S, Fan W, Chen M, Ding K, Zhou F. The role of leucine-rich alpha-2-glycoprotein-1 in proliferation, migration, and invasion of tumors. J Cancer Res Clin Oncol 2022; 148:283-291. [PMID: 35037101 DOI: 10.1007/s00432-021-03876-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Accepted: 11/27/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Leucine-rich alpha-2-glycoprotein-1 (LRG1) is widely involved in proliferation, migration, and invasion of various tumor cells. Recent studies have evaluated the potential of LRG1 as both an early tumor and a prognostic biomarker. METHOD The relevant literature from PubMed is reviewed in this article. RESULTS It has been found that LRG1 mainly acts on the regulatory mechanisms of angiogenesis, epithelial-mesenchymal transition (EMT), and apoptosis by transforming growth factor (TGF-β) signaling pathway as well as affecting the occurrence and development of the tumors. Moreover, with advancement of research, LRG1 regulation pathways which are independent of TGF-β signaling pathway have been gradually revealed in different tumor cells; There are several studies on the biological effects of LRG1 as an inflammatory factor, vascular growth regulator, cell adhesion, and a cell viability influencing factor. In addition, various tumor suppression methods which are based on regulation of LRG1 levels have also shown high potential clinical value. CONCLUSIONS LRG1 are critical for the processes of tumorigenesis, development, and metastasis in various tumors. The present study reviewed the latest research on the achievements of LRG1 in tumor genesis and development. Further, this study also discussed the related molecular mechanisms of various biological functions of LRG1.
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Affiliation(s)
- Meng Lin
- Department of Pathology, Weifang Medical University, Weifang, Shandong, People's Republic of China
| | - Jinmeng Liu
- Laboratory of Biochemistry and Molecular Biology, Weifang Medical University, Weifang, Shandong, People's Republic of China
| | - Fengping Zhang
- Department of Pathology, Weifang Medical University, Weifang, Shandong, People's Republic of China
| | - Gaoxiu Qi
- Department of Pathology, Affiliated Hospital, Weifang Medical University, Weifang, Shandong, People's Republic of China
| | - Shuqi Tao
- Department of Pathology, Weifang Medical University, Weifang, Shandong, People's Republic of China
| | - Wenyuan Fan
- Department of Pathology, Weifang Medical University, Weifang, Shandong, People's Republic of China
| | - Min Chen
- Department of Pathology, Affiliated Hospital, Weifang Medical University, Weifang, Shandong, People's Republic of China
| | - Kang Ding
- Department of Pathology, Weifang Medical University, Weifang, Shandong, People's Republic of China
| | - Fenghua Zhou
- Department of Pathology, Weifang Medical University, Weifang, Shandong, People's Republic of China.
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Noor Z, Paramasivan S, Ghodasara P, Chemonges S, Gupta R, Kopp S, Mills PC, Ranganathan S, Satake N, Sadowski P. Leveraging homologies for cross-species plasma proteomics in ungulates using data-independent acquisition. J Proteomics 2022; 250:104384. [PMID: 34601153 DOI: 10.1016/j.jprot.2021.104384] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 08/27/2021] [Accepted: 09/17/2021] [Indexed: 12/23/2022]
Abstract
The collection of blood plasma is minimally invasive, and the fluid is a rich source of proteins for biomarker studies in both humans and animals. Plasma protein analysis by mass spectrometry (MS) can be challenging, though modern data acquisition strategies, such as sequential window acquisition of all theoretical fragment ion spectra (SWATH), enable reproducible quantitation of hundreds of proteins in non-depleted plasma from humans and laboratory model animals. Although there is strong potential to enhance veterinary and translational research, SWATH-based plasma proteomics in non-laboratory animals is virtually non-existent. One limitation to date is the lack of comprehensively annotated genomes to aid protein identification. The current study established plasma peptide spectral repositories for sheep and cattle that enabled quantification of over 200 proteins in non-depleted plasma using SWATH approach. Moreover, bioinformatics pipeline was developed to leverage inter-species homologies to enhance the depth of baseline libraries and plasma protein quantification in bovids. Finally, the practical utility of using bovid libraries for SWATH data extraction in taxonomically related non-domestic ungulate species (giraffe) has been demonstrated. SIGNIFICANCE: Ability to quickly generate comprehensive spectral libraries is limiting the applicability of data-independent acquisition, such as SWATH, to study proteomes of non-laboratory animals. We describe an approach to obtain relatively shallow foundational plasma repositories from domestic ruminants and employ homology searches to increase the depth of data, which we subsequently extend to unsequenced ungulates using SWATH method. When applied to cross-species proteomics, the number of proteins quantified by our approach far exceeds what is traditionally used in plasma protein tests.
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Affiliation(s)
- Zainab Noor
- Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia
| | - Selvam Paramasivan
- School of Veterinary Science, The University of Queensland, Gatton, QLD, Australia; Central Analytical Research Facility, Queensland University of Technology, Brisbane, QLD, Australia
| | - Priya Ghodasara
- School of Veterinary Science, The University of Queensland, Gatton, QLD, Australia; Veterinary Medicine, The University of Saskatchewan, Saskatchewan, SK, Canada
| | - Saul Chemonges
- School of Veterinary Science, The University of Queensland, Gatton, QLD, Australia; Central Analytical Research Facility, Queensland University of Technology, Brisbane, QLD, Australia
| | - Rajesh Gupta
- Central Analytical Research Facility, Queensland University of Technology, Brisbane, QLD, Australia
| | - Steven Kopp
- School of Veterinary Science, The University of Queensland, Gatton, QLD, Australia
| | - Paul C Mills
- School of Veterinary Science, The University of Queensland, Gatton, QLD, Australia
| | - Shoba Ranganathan
- Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia
| | - Nana Satake
- School of Veterinary Science, The University of Queensland, Gatton, QLD, Australia; School of Agriculture and Food Sciences, The University of Queensland, St Lucia, QLD, Australia
| | - Pawel Sadowski
- Central Analytical Research Facility, Queensland University of Technology, Brisbane, QLD, Australia.
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Yu M, Yu S, Zhou W, Yi B, Liu Y. HOXC6/8/10/13 predict poor prognosis and associate with immune infiltrations in glioblastoma. Int Immunopharmacol 2021; 101:108293. [PMID: 34763232 DOI: 10.1016/j.intimp.2021.108293] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 10/10/2021] [Accepted: 10/18/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND Glioblastoma (GBM), characterized by deregulated cell proliferation and immune cells infiltration, is a common and lethal tumor of the central nervous system. Recently, the infiltration of immune cells has attracted attention as a potential novel GBM immunotherapy option. Homeobox C cluster (HOXC) is an evolutionarily conserved family of transcriptional factors that are involved in embryogenesis and tumorigenesis. Nevertheless, the correlations of HOXCs with the prognosis and immune infiltration of GBM remain blurred. METHODS The RNA-seq data with corresponding clinical characteristics were downloaded from TCGA and GTEx databases. The correlations between HOXCs and clinical characteristics were calculated using univariable and multivariate Cox regression. R language with ggplot2, survminer, survival, GSVA, and pROC packages were employed to analyze the data and present the plots. MethSurv, UALCAN and cBioPortal were employed to evaluate the DNA methylation and mutation status of HOXCs in GBM. We also verified the expression and prognosis of HOXCs by qPCR and immunohistochemistry in a cohort of 36 patients. RESULTS We identified that HOXC6/8/10/13 were crucial biomarkers for diagnosis and prognostic judgement in GBM. Gene set variation analysis revealed that levels of expression of HOXCs were associated with the infiltration of various immune cells. The qPCR and immunohistochemistry data validated the prognostic values of HOXC6/8/10/13 in GBM. Finally, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis showed that HOXCs might be involved in DNA-binding transcription activator activity and the apelin signaling pathway. CONCLUSION This research highlights that HOXC6/8/10/13 are involved in the immune infiltrates, also provide potential clinical utility as therapeutic targets in GBM.
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Affiliation(s)
- Mingjun Yu
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang 110004, People's Republic of China; Gamma Knife Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Neuro-oncology in Liaoning Province, Shenyang 110004, People's Republic of China
| | - Shijia Yu
- Department of Neurology, Shengjing Hospital of China Medical University, Shenyang 110004, People's Republic of China
| | - Wen Zhou
- Department of Pain Management, Dalian Municipal Central Hospital, Dalian 116033, People's Republic of China
| | - Bolong Yi
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang 110004, People's Republic of China; Key Laboratory of Neuro-oncology in Liaoning Province, Shenyang 110004, People's Republic of China
| | - Yunhui Liu
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang 110004, People's Republic of China; Key Laboratory of Neuro-oncology in Liaoning Province, Shenyang 110004, People's Republic of China.
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Kwon YW, Jo HS, Bae S, Seo Y, Song P, Song M, Yoon JH. Application of Proteomics in Cancer: Recent Trends and Approaches for Biomarkers Discovery. Front Med (Lausanne) 2021; 8:747333. [PMID: 34631760 PMCID: PMC8492935 DOI: 10.3389/fmed.2021.747333] [Citation(s) in RCA: 82] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 08/26/2021] [Indexed: 12/12/2022] Open
Abstract
Proteomics has become an important field in molecular sciences, as it provides valuable information on the identity, expression levels, and modification of proteins. For example, cancer proteomics unraveled key information in mechanistic studies on tumor growth and metastasis, which has contributed to the identification of clinically applicable biomarkers as well as therapeutic targets. Several cancer proteome databases have been established and are being shared worldwide. Importantly, the integration of proteomics studies with other omics is providing extensive data related to molecular mechanisms and target modulators. These data may be analyzed and processed through bioinformatic pipelines to obtain useful information. The purpose of this review is to provide an overview of cancer proteomics and recent advances in proteomic techniques. In particular, we aim to offer insights into current proteomics studies of brain cancer, in which proteomic applications are in a relatively early stage. This review covers applications of proteomics from the discovery of biomarkers to the characterization of molecular mechanisms through advances in technology. Moreover, it addresses global trends in proteomics approaches for translational research. As a core method in translational research, the continued development of this field is expected to provide valuable information at a scale beyond that previously seen.
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Affiliation(s)
- Yang Woo Kwon
- Neurodegenerative Diseases Research Group, Korea Brain Research Institute, Daegu, South Korea
| | - Han-Seul Jo
- Neurodegenerative Diseases Research Group, Korea Brain Research Institute, Daegu, South Korea
| | - Sungwon Bae
- Neurodegenerative Diseases Research Group, Korea Brain Research Institute, Daegu, South Korea
| | - Youngsuk Seo
- Neurodegenerative Diseases Research Group, Korea Brain Research Institute, Daegu, South Korea
| | - Parkyong Song
- Department of Convergence Medicine, Pusan National University School of Medicine, Yangsan, South Korea
| | - Minseok Song
- Department of Life Sciences, Yeungnam University, Gyeongsan, South Korea
| | - Jong Hyuk Yoon
- Neurodegenerative Diseases Research Group, Korea Brain Research Institute, Daegu, South Korea
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Greco F, Anastasi F, Pardini LF, Dilillo M, Vannini E, Baroncelli L, Caleo M, McDonnell LA. Longitudinal Bottom-Up Proteomics of Serum, Serum Extracellular Vesicles, and Cerebrospinal Fluid Reveals Candidate Biomarkers for Early Detection of Glioblastoma in a Murine Model. Molecules 2021; 26:5992. [PMID: 34641541 PMCID: PMC8512455 DOI: 10.3390/molecules26195992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 09/24/2021] [Accepted: 09/30/2021] [Indexed: 12/04/2022] Open
Abstract
Glioblastoma Multiforme (GBM) is a brain tumor with a poor prognosis and low survival rates. GBM is diagnosed at an advanced stage, so little information is available on the early stage of the disease and few improvements have been made for earlier diagnosis. Longitudinal murine models are a promising platform for biomarker discovery as they allow access to the early stages of the disease. Nevertheless, their use in proteomics has been limited owing to the low sample amount that can be collected at each longitudinal time point. Here we used optimized microproteomics workflows to investigate longitudinal changes in the protein profile of serum, serum small extracellular vesicles (sEVs), and cerebrospinal fluid (CSF) in a GBM murine model. Baseline, pre-symptomatic, and symptomatic tumor stages were determined using non-invasive motor tests. Forty-four proteins displayed significant differences in signal intensities during GBM progression. Dysregulated proteins are involved in cell motility, cell growth, and angiogenesis. Most of the dysregulated proteins already exhibited a difference from baseline at the pre-symptomatic stage of the disease, suggesting that early effects of GBM might be detectable before symptom onset.
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Affiliation(s)
- Francesco Greco
- Institute of Life Sciences, Sant’Anna School of Advanced Studies, 56127 Pisa, Italy;
- Fondazione Pisana per la Scienza ONLUS, 56017 San Giuliano Terme, Italy; (F.A.); (L.F.P.); (M.D.)
| | - Federica Anastasi
- Fondazione Pisana per la Scienza ONLUS, 56017 San Giuliano Terme, Italy; (F.A.); (L.F.P.); (M.D.)
- NEST Laboratories, Scuola Normale Superiore, 56127 Pisa, Italy
| | - Luca Fidia Pardini
- Fondazione Pisana per la Scienza ONLUS, 56017 San Giuliano Terme, Italy; (F.A.); (L.F.P.); (M.D.)
- Department of Chemistry and Industrial Chemistry, University of Pisa, 56124 Pisa, Italy
| | - Marialaura Dilillo
- Fondazione Pisana per la Scienza ONLUS, 56017 San Giuliano Terme, Italy; (F.A.); (L.F.P.); (M.D.)
| | - Eleonora Vannini
- CNR, Neuroscience Institute, 56124 Pisa, Italy; (E.V.); (L.B.); (M.C.)
- Fondazione Umberto Veronesi, 20122 Milano, Italy
| | - Laura Baroncelli
- CNR, Neuroscience Institute, 56124 Pisa, Italy; (E.V.); (L.B.); (M.C.)
- IRCCS Fondazione Stella Maris, 56018 Calambrone, Italy
| | - Matteo Caleo
- CNR, Neuroscience Institute, 56124 Pisa, Italy; (E.V.); (L.B.); (M.C.)
- Dipartimento di Scienze Biomediche, Università di Padova, 35131 Padova, Italy
| | - Liam A. McDonnell
- Fondazione Pisana per la Scienza ONLUS, 56017 San Giuliano Terme, Italy; (F.A.); (L.F.P.); (M.D.)
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Tribe AK, McConnell MJ, Teesdale-Spittle PH. The Big Picture of Glioblastoma Malignancy: A Meta-Analysis of Glioblastoma Proteomics to Identify Altered Biological Pathways. ACS OMEGA 2021; 6:24535-24544. [PMID: 34604635 PMCID: PMC8482494 DOI: 10.1021/acsomega.1c02991] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Indexed: 05/08/2023]
Abstract
Glioblastoma is a highly malignant cancer with no effective treatment. It is vital to elucidate the mechanisms which drive glioblastoma in order to identify therapeutic targets. The differences in protein expression between glioblastoma, grade I-III glioma, and normal brain tissue reflect the functional alterations driving malignancy. However, proteomic analysis of glioblastoma has been hampered by the heterogeneity of glioblastoma and the variety of methodology used in its study. To reduce these inconsistencies, we performed a meta-analysis of the literature published since 2015, including 14 datasets from eight papers comparing the whole proteome of glioblastoma to normal brain or grade I-III glioma. We found that 154 proteins were commonly upregulated and 116 proteins were commonly downregulated in glioblastoma compared to normal brain. Meanwhile, 240 proteins were commonly upregulated and 125 proteins were commonly downregulated in glioblastoma compared to grade I-III glioma. Functional enrichment analysis revealed upregulation of proteins involved in mRNA splicing and the immune system and downregulation of proteins involved in synaptic signaling and glucose and glutamine metabolism. The identification of these altered biological pathways provides a basis for deeper investigation in the pursuit of an effective treatment for glioblastoma.
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Wang L, Liu J, Tai J, Zhou N, Huang T, Xue Y, Quan Z. A prospective study revealing the role of an immune-related eRNA, WAKMAR2, in breast cancer. Sci Rep 2021; 11:15328. [PMID: 34321580 PMCID: PMC8319425 DOI: 10.1038/s41598-021-94784-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 07/16/2021] [Indexed: 12/26/2022] Open
Abstract
Enhancer RNAs (eRNAs) are a subclass of non-coding RNAs that are generated during the transcription of enhancer regions and play an important role in tumourigenesis. In this study, we focused on the crucial eRNAs that participate in immune responses in invasive breast cancer (IBC). We first used The Cancer Genome Atlas and Human enhancer RNA Atlas to screen for tissue-specific eRNAs and their target genes. Through Pearson correlation analysis with immune genes, the eRNA WAKMAR2 was identified as a key candidate involved in IBC. Our further research suggested that WAKMAR2 is crucial in regulating the tumour microenvironment and may function by regulating immune-related genes, including IL27RA, RAC2, FABP7, IGLV1-51, IGHA1, and IGHD. Quantitative reverse transcription-polymerase chain reaction was used to detect the expression of WAKMAR2 in IBC and normal tissues, and the effect of WAKMAR2 on the regulation of downstream genes in MB-231 and MCF7 cells was studied in vitro. WAKMAR2 was found to be highly involved in tumour immunity and was downregulated in IBC tissues. Furthermore, the expression of WAKMAR2 and its target genes was observed at the pan-cancer level. This study provides evidence to suggest new potential targets for the treatment of breast cancer.
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Affiliation(s)
- Linbang Wang
- Department of Orthopedic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jingkun Liu
- Honghui Hospital, Xian Jiaotong University, Xi'an, 710072, China
| | - Jiaojiao Tai
- Honghui Hospital, Xian Jiaotong University, Xi'an, 710072, China
| | - Nian Zhou
- Department of Orthopedic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Tianji Huang
- Department of Orthopedic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yuzhou Xue
- Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Zhengxue Quan
- Department of Orthopedic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
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Florentinus-Mefailoski A, Bowden P, Scheltens P, Killestein J, Teunissen C, Marshall JG. The plasma peptides of Alzheimer's disease. Clin Proteomics 2021; 18:17. [PMID: 34182925 PMCID: PMC8240224 DOI: 10.1186/s12014-021-09320-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 04/20/2021] [Indexed: 02/06/2023] Open
Abstract
Background A practical strategy to discover proteins specific to Alzheimer’s dementia (AD) may be to compare the plasma peptides and proteins from patients with dementia to normal controls and patients with neurological conditions like multiple sclerosis or other diseases. The aim was a proof of principle for a method to discover proteins and/or peptides of plasma that show greater observation frequency and/or precursor intensity in AD. The endogenous tryptic peptides of Alzheimer’s were compared to normals, multiple sclerosis, ovarian cancer, breast cancer, female normal, sepsis, ICU Control, heart attack, along with their institution-matched controls, and normal samples collected directly onto ice. Methods Endogenous tryptic peptides were extracted from blinded, individual AD and control EDTA plasma samples in a step gradient of acetonitrile for random and independent sampling by LC–ESI–MS/MS with a set of robust and sensitive linear quadrupole ion traps. The MS/MS spectra were fit to fully tryptic peptides within proteins identified using the X!TANDEM algorithm. Observation frequency of the identified proteins was counted using SEQUEST algorithm. The proteins with apparently increased observation frequency in AD versus AD Control were revealed graphically and subsequently tested by Chi Square analysis. The proteins specific to AD plasma by Chi Square with FDR correction were analyzed by the STRING algorithm. The average protein or peptide log10 precursor intensity was compared across disease and control treatments by ANOVA in the R statistical system. Results Peptides and/or phosphopeptides of common plasma proteins such as complement C2, C7, and C1QBP among others showed increased observation frequency by Chi Square and/or precursor intensity in AD. Cellular gene symbols with large Chi Square values (χ2 ≥ 25, p ≤ 0.001) from tryptic peptides included KIF12, DISC1, OR8B12, ZC3H12A, TNF, TBC1D8B, GALNT3, EME2, CD1B, BAG1, CPSF2, MMP15, DNAJC2, PHACTR4, OR8B3, GCK, EXOSC7, HMGA1 and NT5C3A among others. Similarly, increased frequency of tryptic phosphopeptides were observed from MOK, SMIM19, NXNL1, SLC24A2, Nbla10317, AHRR, C10orf90, MAEA, SRSF8, TBATA, TNIK, UBE2G1, PDE4C, PCGF2, KIR3DP1, TJP2, CPNE8, and NGF amongst others. STRING analysis showed an increase in cytoplasmic proteins and proteins associated with alternate splicing, exocytosis of luminal proteins, and proteins involved in the regulation of the cell cycle, mitochondrial functions or metabolism and apoptosis. Increases in mean precursor intensity of peptides from common plasma proteins such as DISC1, EXOSC5, UBE2G1, SMIM19, NXNL1, PANO, EIF4G1, KIR3DP1, MED25, MGRN1, OR8B3, MGC24039, POLR1A, SYTL4, RNF111, IREB2, ANKMY2, SGKL, SLC25A5, CHMP3 among others were associated with AD. Tryptic peptides from the highly conserved C-terminus of DISC1 within the sequence MPGGGPQGAPAAAGGGGVSHRAGSRDCLPPAACFR and ARQCGLDSR showed a higher frequency and highest intensity in AD compared to all other disease and controls. Conclusion Proteins apparently expressed in the brain that were directly related to Alzheimer’s including Nerve Growth Factor (NFG), Sphingomyelin Phosphodiesterase, Disrupted in Schizophrenia 1 (DISC1), the cell death regulator retinitis pigmentosa (NXNl1) that governs the loss of nerve cells in the retina and the cell death regulator ZC3H12A showed much higher observation frequency in AD plasma vs the matched control. There was a striking agreement between the proteins known to be mutated or dis-regulated in the brains of AD patients with the proteins observed in the plasma of AD patients from endogenous peptides including NBN, BAG1, NOX1, PDCD5, SGK3, UBE2G1, SMPD3 neuronal proteins associated with synapse function such as KSYTL4, VTI1B and brain specific proteins such as TBATA. Supplementary Information The online version contains supplementary material available at 10.1186/s12014-021-09320-2.
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Affiliation(s)
- Angelique Florentinus-Mefailoski
- Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON, Canada
| | - Peter Bowden
- Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON, Canada
| | - Philip Scheltens
- Alzheimer Center, Dept of Neurology, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Joep Killestein
- MS Center, Dept of Neurology, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Charlotte Teunissen
- Neurochemistry Lab and Biobank, Dept of Clinical Chemistry, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - John G Marshall
- Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON, Canada. .,International Biobank of Luxembourg (IBBL), Luxembourg Institute of Health (Formerly CRP Sante Luxembourg), Strassen, Luxembourg.
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Park JH, de Lomana ALG, Marzese DM, Juarez T, Feroze A, Hothi P, Cobbs C, Patel AP, Kesari S, Huang S, Baliga NS. A Systems Approach to Brain Tumor Treatment. Cancers (Basel) 2021; 13:3152. [PMID: 34202449 PMCID: PMC8269017 DOI: 10.3390/cancers13133152] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/11/2021] [Accepted: 06/17/2021] [Indexed: 12/12/2022] Open
Abstract
Brain tumors are among the most lethal tumors. Glioblastoma, the most frequent primary brain tumor in adults, has a median survival time of approximately 15 months after diagnosis or a five-year survival rate of 10%; the recurrence rate is nearly 90%. Unfortunately, this prognosis has not improved for several decades. The lack of progress in the treatment of brain tumors has been attributed to their high rate of primary therapy resistance. Challenges such as pronounced inter-patient variability, intratumoral heterogeneity, and drug delivery across the blood-brain barrier hinder progress. A comprehensive, multiscale understanding of the disease, from the molecular to the whole tumor level, is needed to address the intratumor heterogeneity resulting from the coexistence of a diversity of neoplastic and non-neoplastic cell types in the tumor tissue. By contrast, inter-patient variability must be addressed by subtyping brain tumors to stratify patients and identify the best-matched drug(s) and therapies for a particular patient or cohort of patients. Accomplishing these diverse tasks will require a new framework, one involving a systems perspective in assessing the immense complexity of brain tumors. This would in turn entail a shift in how clinical medicine interfaces with the rapidly advancing high-throughput (HTP) technologies that have enabled the omics-scale profiling of molecular features of brain tumors from the single-cell to the tissue level. However, several gaps must be closed before such a framework can fulfill the promise of precision and personalized medicine for brain tumors. Ultimately, the goal is to integrate seamlessly multiscale systems analyses of patient tumors and clinical medicine. Accomplishing this goal would facilitate the rational design of therapeutic strategies matched to the characteristics of patients and their tumors. Here, we discuss some of the technologies, methodologies, and computational tools that will facilitate the realization of this vision to practice.
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Affiliation(s)
- James H. Park
- Institute for Systems Biology, Seattle, WA 98109, USA; (J.H.P.); (S.H.)
| | | | - Diego M. Marzese
- Balearic Islands Health Research Institute (IdISBa), 07010 Palma, Spain;
| | - Tiffany Juarez
- St. John’s Cancer Institute, Santa Monica, CA 90401, USA; (T.J.); (S.K.)
| | - Abdullah Feroze
- Department of Neurological Surgery, University of Washington, Seattle, WA 98195, USA; (A.F.); (A.P.P.)
| | - Parvinder Hothi
- Swedish Neuroscience Institute, Seattle, WA 98122, USA; (P.H.); (C.C.)
- Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment, Seattle, WA 98122, USA
| | - Charles Cobbs
- Swedish Neuroscience Institute, Seattle, WA 98122, USA; (P.H.); (C.C.)
- Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment, Seattle, WA 98122, USA
| | - Anoop P. Patel
- Department of Neurological Surgery, University of Washington, Seattle, WA 98195, USA; (A.F.); (A.P.P.)
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- Brotman-Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA
| | - Santosh Kesari
- St. John’s Cancer Institute, Santa Monica, CA 90401, USA; (T.J.); (S.K.)
| | - Sui Huang
- Institute for Systems Biology, Seattle, WA 98109, USA; (J.H.P.); (S.H.)
| | - Nitin S. Baliga
- Institute for Systems Biology, Seattle, WA 98109, USA; (J.H.P.); (S.H.)
- Departments of Microbiology, Biology, and Molecular Engineering Sciences, University of Washington, Seattle, WA 98105, USA
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Webster JA, Wuethrich A, Shanmugasundaram KB, Richards RS, Zelek WM, Shah AK, Gordon LG, Kendall BJ, Hartel G, Morgan BP, Trau M, Hill MM. Development of EndoScreen Chip, a Microfluidic Pre-Endoscopy Triage Test for Esophageal Adenocarcinoma. Cancers (Basel) 2021; 13:2865. [PMID: 34201241 PMCID: PMC8229863 DOI: 10.3390/cancers13122865] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 06/03/2021] [Accepted: 06/03/2021] [Indexed: 12/11/2022] Open
Abstract
The current endoscopy and biopsy diagnosis of esophageal adenocarcinoma (EAC) and its premalignant condition Barrett's esophagus (BE) is not cost-effective. To enable EAC screening and patient triaging for endoscopy, we developed a microfluidic lectin immunoassay, the EndoScreen Chip, which allows sensitive multiplex serum biomarker measurements. Here, we report the proof-of-concept deployment for the EAC biomarker Jacalin lectin binding complement C9 (JAC-C9), which we previously discovered and validated by mass spectrometry. A monoclonal C9 antibody (m26 3C9) was generated and validated in microplate ELISA, and then deployed for JAC-C9 measurement on EndoScreen Chip. Cohort evaluation (n = 46) confirmed the expected elevation of serum JAC-C9 in EAC, along with elevated total serum C9 level. Next, we asked if the small panel of serum biomarkers improves detection of EAC in this cohort when used in conjunction with patient risk factors (age, body mass index and heartburn history). Using logistic regression modeling, we found that serum C9 and JAC-C9 significantly improved EAC prediction from AUROC of 0.838 to 0.931, with JAC-C9 strongly predictive of EAC (vs. BE OR = 4.6, 95% CI: 1.6-15.6, p = 0.014; vs. Healthy OR = 4.1, 95% CI: 1.2-13.7, p = 0.024). This proof-of-concept study confirms the microfluidic EndoScreen Chip technology and supports the potential utility of blood biomarkers in improving triaging for diagnostic endoscopy. Future work will expand the number of markers on EndoScreen Chip from our list of validated EAC biomarkers.
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Affiliation(s)
- Julie A. Webster
- QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (J.A.W.); (R.S.R.); (A.K.S.); (L.G.G.); (B.J.K.); (G.H.)
| | - Alain Wuethrich
- Centre for Personalised Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane City, QLD 4072, Australia; (A.W.); (K.B.S.); (M.T.)
| | - Karthik B. Shanmugasundaram
- Centre for Personalised Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane City, QLD 4072, Australia; (A.W.); (K.B.S.); (M.T.)
| | - Renee S. Richards
- QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (J.A.W.); (R.S.R.); (A.K.S.); (L.G.G.); (B.J.K.); (G.H.)
| | - Wioleta M. Zelek
- Division of Infection and Immunity, Cardiff University, Heath Park, Cardiff CF10 3AX, UK; (W.M.Z.); (B.P.M.)
| | - Alok K. Shah
- QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (J.A.W.); (R.S.R.); (A.K.S.); (L.G.G.); (B.J.K.); (G.H.)
| | - Louisa G. Gordon
- QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (J.A.W.); (R.S.R.); (A.K.S.); (L.G.G.); (B.J.K.); (G.H.)
| | - Bradley J. Kendall
- QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (J.A.W.); (R.S.R.); (A.K.S.); (L.G.G.); (B.J.K.); (G.H.)
- Faculty of Medicine, The University of Queensland, Herston, Brisbane, QLD 4102, Australia
- Department of Gastroenterolgy and Hepatology, Princess Alexandra Hospital, Brisbane, QLD 4102, Australia
| | - Gunter Hartel
- QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (J.A.W.); (R.S.R.); (A.K.S.); (L.G.G.); (B.J.K.); (G.H.)
| | - B. Paul Morgan
- Division of Infection and Immunity, Cardiff University, Heath Park, Cardiff CF10 3AX, UK; (W.M.Z.); (B.P.M.)
| | - Matt Trau
- Centre for Personalised Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane City, QLD 4072, Australia; (A.W.); (K.B.S.); (M.T.)
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Michelle M. Hill
- QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (J.A.W.); (R.S.R.); (A.K.S.); (L.G.G.); (B.J.K.); (G.H.)
- Faculty of Medicine, The University of Queensland, Herston, Brisbane, QLD 4102, Australia
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Ali H, Harting R, de Vries R, Ali M, Wurdinger T, Best MG. Blood-Based Biomarkers for Glioma in the Context of Gliomagenesis: A Systematic Review. Front Oncol 2021; 11:665235. [PMID: 34150629 PMCID: PMC8211985 DOI: 10.3389/fonc.2021.665235] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 05/18/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Gliomas are the most common and aggressive tumors of the central nervous system. A robust and widely used blood-based biomarker for glioma has not yet been identified. In recent years, a plethora of new research on blood-based biomarkers for glial tumors has been published. In this review, we question which molecules, including proteins, nucleic acids, circulating cells, and metabolomics, are most promising blood-based biomarkers for glioma diagnosis, prognosis, monitoring and other purposes, and align them to the seminal processes of cancer. METHODS The Pubmed and Embase databases were systematically searched. Biomarkers were categorized in the identified biomolecules and biosources. Biomarker characteristics were assessed using the area under the curve (AUC), accuracy, sensitivity and/or specificity values and the degree of statistical significance among the assessed clinical groups was reported. RESULTS 7,919 references were identified: 3,596 in PubMed and 4,323 in Embase. Following screening of titles, abstracts and availability of full-text, 262 articles were included in the final systematic review. Panels of multiple biomarkers together consistently reached AUCs >0.8 and accuracies >80% for various purposes but especially for diagnostics. The accuracy of single biomarkers, consisting of only one measurement, was far more variable, but single microRNAs and proteins are generally more promising as compared to other biomarker types. CONCLUSION Panels of microRNAs and proteins are most promising biomarkers, while single biomarkers such as GFAP, IL-10 and individual miRNAs also hold promise. It is possible that panels are more accurate once these are involved in different, complementary cancer-related molecular pathways, because not all pathways may be dysregulated in cancer patients. As biomarkers seem to be increasingly dysregulated in patients with short survival, higher tumor grades and more pathological tumor types, it can be hypothesized that more pathways are dysregulated as the degree of malignancy of the glial tumor increases. Despite, none of the biomarkers found in the literature search seem to be currently ready for clinical implementation, and most of the studies report only preliminary application of the identified biomarkers. Hence, large-scale validation of currently identified and potential novel biomarkers to show clinical utility is warranted.
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Affiliation(s)
- Hamza Ali
- Department of Neurosurgery, Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center and Academic Medical Center, Amsterdam, Netherlands
| | - Romée Harting
- Department of Neurosurgery, Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center and Academic Medical Center, Amsterdam, Netherlands
| | - Ralph de Vries
- Medical Library, Vrije Universiteit, Amsterdam, Netherlands
| | - Meedie Ali
- Department of Neurosurgery, Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center and Academic Medical Center, Amsterdam, Netherlands
| | - Thomas Wurdinger
- Department of Neurosurgery, Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center and Academic Medical Center, Amsterdam, Netherlands
| | - Myron G. Best
- Department of Neurosurgery, Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center and Academic Medical Center, Amsterdam, Netherlands
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Uchida Y, Higuchi T, Shirota M, Kagami S, Saigusa D, Koshiba S, Yasuda J, Tamiya G, Kuriyama S, Kinoshita K, Yaegashi N, Yamamoto M, Terasaki T, Sugawara J. Identification and Validation of Combination Plasma Biomarker of Afamin, Fibronectin and Sex Hormone-Binding Globulin to Predict Pre-eclampsia. Biol Pharm Bull 2021; 44:804-815. [PMID: 34078812 DOI: 10.1248/bpb.b20-01043] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The purpose of the present study was to identify a plasma protein biomarker able to predict pre-eclampsia (PE). Comprehensive quantitative proteomics using mass spectrometry with sequential window acquisition of all theoretical fragment ion spectra (SWATH-MS) was applied to plasma samples of 7 PE and 14 healthy pregnant women (for PE subjects, plasma samples were taken before onset of PE), and 11 proteins were selected as candidates potentially able to differentiate the two groups. Plasmas collected at gestational weeks 14-24 from 36 PE and 120 healthy pregnant women (for PE subjects, plasma samples were taken before onset of PE) were used to conduct selected reaction monitoring quantification analysis, optimize protein combinations and conduct internal validation, which consisted of 30 iterations of 10-fold cross-validation using multivariate logistic regression and receiver operating characteristic (ROC) analysis. The combination of afamin, fibronectin, and sex-hormone-binding globulin was selected as the best candidate. The 3-protein combination predictive model (predictive equation and cut-off value) generated using the internal validation subjects was successfully validated in another group of validation subjects (36 PE and 54 healthy (for PE subjects, plasma samples were taken before onset of PE)) and showed good predictive performance, with the area under the curve (AUC) 0.835 and odds ratio 13.43. In conclusion, we newly identified a 3-protein combination biomarker and established a predictive equation and cut-off value that can predict the onset of PE based on analysis of plasma samples collected during gestational weeks 14-24.
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Affiliation(s)
- Yasuo Uchida
- Faculty of Pharmaceutical Sciences, Tohoku University.,Graduate School of Pharmaceutical Sciences, Tohoku University.,Tohoku Medical Megabank Organization (ToMMo), Tohoku University
| | | | - Matsuyuki Shirota
- Tohoku Medical Megabank Organization (ToMMo), Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Satoshi Kagami
- Graduate School of Pharmaceutical Sciences, Tohoku University
| | - Daisuke Saigusa
- Tohoku Medical Megabank Organization (ToMMo), Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Seizo Koshiba
- Tohoku Medical Megabank Organization (ToMMo), Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Jun Yasuda
- Tohoku Medical Megabank Organization (ToMMo), Tohoku University.,Division of Molecular and Cellular Oncology, Miyagi Cancer Center Research Institute
| | - Gen Tamiya
- Tohoku Medical Megabank Organization (ToMMo), Tohoku University.,Graduate School of Medicine, Tohoku University.,Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization (ToMMo), Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization (ToMMo), Tohoku University.,Graduate School of Information Sciences, Tohoku University
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization (ToMMo), Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization (ToMMo), Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Tetsuya Terasaki
- Faculty of Pharmaceutical Sciences, Tohoku University.,Graduate School of Pharmaceutical Sciences, Tohoku University.,Tohoku Medical Megabank Organization (ToMMo), Tohoku University
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization (ToMMo), Tohoku University.,Graduate School of Medicine, Tohoku University
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Jones J, Nguyen H, Drummond K, Morokoff A. Circulating Biomarkers for Glioma: A Review. Neurosurgery 2021; 88:E221-E230. [PMID: 33442748 DOI: 10.1093/neuros/nyaa540] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 10/10/2020] [Indexed: 12/18/2022] Open
Abstract
Accurate circulating biomarkers have potential clinical applications in population screening, tumor subclassification, monitoring tumor status, and the delivery of individualized treatments resulting from tumor genotyping. Recently, significant progress has been made within this field in several cancer types, but despite the many potential benefits, currently there is no validated circulating biomarker test for patients with glioma. A number of circulating factors have been examined, including circulating tumor cells, cell-free DNA, microRNA, exosomes, and proteins from both peripheral blood and cerebrospinal fluid with variable results. In the following article, we provide a narrative review of the current evidence pertaining to circulating biomarkers in patients with glioma, including discussion of the advantages and challenges encountered with the current methods used for discovery. Additionally, the potential clinical applications are described with reference to the literature.
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Affiliation(s)
- Jordan Jones
- Department of Surgery, University of Melbourne, Melbourne, Australia.,Department of Neurosurgery, Royal Melbourne Hospital, Melbourne, Australia
| | - Hong Nguyen
- Department of Surgery, University of Melbourne, Melbourne, Australia
| | - Katharine Drummond
- Department of Surgery, University of Melbourne, Melbourne, Australia.,Department of Neurosurgery, Royal Melbourne Hospital, Melbourne, Australia
| | - Andrew Morokoff
- Department of Surgery, University of Melbourne, Melbourne, Australia.,Department of Neurosurgery, Royal Melbourne Hospital, Melbourne, Australia
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Benchmark of site- and structure-specific quantitative tissue N-glycoproteomics for discovery of potential N-glycoprotein markers: a case study of pancreatic cancer. Glycoconj J 2021; 38:213-231. [PMID: 33835347 DOI: 10.1007/s10719-021-09994-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 03/16/2021] [Accepted: 03/19/2021] [Indexed: 02/07/2023]
Abstract
Pancreatic cancer is a highly malignant tumor of the digestive tract that is difficult to diagnose and treat. It is more common in developed countries and has become one of the main causes of death in some countries and regions. Currently, pancreatic cancer generally has a poor prognosis, partly due to the lack of symptoms in the early stages of pancreatic cancer. Therefore, most cases are diagnosed at advanced stage. With the continuous in-depth research of glycoproteomics in precision medical diagnosis, there have been some reports on quantitative analysis of cancer-related cells, plasma or tissues to find specific biomarkers for targeted therapy. This research is based on the developed complete N-linked glycopeptide database search engine GPSeeker, combined with liquid-mass spectrometry and stable diethyl isotope labeling, providing a benchmark of site- and structure-specific quantitative tissue N-glycoproteomics for discovery of potential N-glycoprotein markers. With spectrum-level FDR ≤1%, 20,038 intact N-Glycopeptides corresponding to 4518 peptide backbones, 228 N-glycan monosaccharide compositions 1026 N-glycan putative structures, 4460 N-glycosites and 3437 intact N-glycoproteins were identified. With the criteria of ≥1.5-fold change and p value<0.05, 52 differentially expressed intact N-glycopeptides (DEGPs) were found in pancreatic cancer tussues relative to control, where 38 up-regulated and 14 down-regulated, respectively.
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Raman Spectral Signatures of Serum-Derived Extracellular Vesicle-Enriched Isolates May Support the Diagnosis of CNS Tumors. Cancers (Basel) 2021; 13:cancers13061407. [PMID: 33808766 PMCID: PMC8003579 DOI: 10.3390/cancers13061407] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 02/08/2023] Open
Abstract
Investigating the molecular composition of small extracellular vesicles (sEVs) for tumor diagnostic purposes is becoming increasingly popular, especially for diseases for which diagnosis is challenging, such as central nervous system (CNS) malignancies. Thorough examination of the molecular content of sEVs by Raman spectroscopy is a promising but hitherto barely explored approach for these tumor types. We attempt to reveal the potential role of serum-derived sEVs in diagnosing CNS tumors through Raman spectroscopic analyses using a relevant number of clinical samples. A total of 138 serum samples were obtained from four patient groups (glioblastoma multiforme, non-small-cell lung cancer brain metastasis, meningioma and lumbar disc herniation as control). After isolation, characterization and Raman spectroscopic assessment of sEVs, the Principal Component Analysis-Support Vector Machine (PCA-SVM) algorithm was performed on the Raman spectra for pairwise classifications. Classification accuracy (CA), sensitivity, specificity and the Area Under the Curve (AUC) value derived from Receiver Operating Characteristic (ROC) analyses were used to evaluate the performance of classification. The groups compared were distinguishable with 82.9-92.5% CA, 80-95% sensitivity and 80-90% specificity. AUC scores in the range of 0.82-0.9 suggest excellent and outstanding classification performance. Our results support that Raman spectroscopic analysis of sEV-enriched isolates from serum is a promising method that could be further developed in order to be applicable in the diagnosis of CNS tumors.
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Furuta T, Sugita Y, Komaki S, Ohshima K, Morioka M, Uchida Y, Tachikawa M, Ohtsuki S, Terasaki T, Nakada M. The Multipotential of Leucine-Rich α-2 Glycoprotein 1 as a Clinicopathological Biomarker of Glioblastoma. J Neuropathol Exp Neurol 2021; 79:873-879. [PMID: 32647893 DOI: 10.1093/jnen/nlaa058] [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: 03/12/2020] [Accepted: 06/02/2020] [Indexed: 01/14/2023] Open
Abstract
Leucine-rich α-2 glycoprotein 1 (LRG1) is a diagnostic marker candidate for glioblastoma. Although LRG1 has been associated with angiogenesis, it has been suggested that its biomarker role differs depending on the type of tumor. In this study, a clinicopathological examination of LRG1's role as a biomarker for glioblastoma was performed. We used tumor tissues of 155 cases with diffuse gliomas (27 astrocytomas, 14 oligodendrogliomas, 114 glioblastomas). The immunohistochemical LRG1 intensity scoring was classified into 2 groups: low expression and high expression. Mutations of IDH1, IDH2, and TERT promoter were analyzed through the Sanger method. We examined the relationship between LRG1 expression level in glioblastoma and clinical parameters, such as age, preoperative Karnofsky performance status, tumor location, extent of resection, O6-methylguanine DNA methyltransferase promoter, and prognosis. LRG1 high expression rate was 41.2% in glioblastoma, 3.7% in astrocytoma, and 21.4% in oligodendroglioma. Glioblastoma showed a significantly higher LRG1 expression than lower-grade glioma (p = 0.0003). High expression of LRG1 was an independent favorable prognostic factor (p = 0.019) in IDH-wildtype glioblastoma and correlated with gross total resection (p = 0.002) and the tumor location on nonsubventricular zone (p = 0.00007). LRG1 demonstrated multiple potential as a diagnostic, prognostic, and regional biomarker for glioblastoma.
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Affiliation(s)
- Takuya Furuta
- From the Department of Pathology; Department of Neuropathology, St. Mary's Hospita, Kurume, Japan.,Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Japan
| | - Yasuo Sugita
- From the Department of Pathology; Department of Neuropathology, St. Mary's Hospita, Kurume, Japan.,Department of Neurosurgery; Department of Neuropathology, St. Mary's Hospita, Kurume, Japan.,Kurume University School of Medicine; Department of Neuropathology, St. Mary's Hospita, Kurume, Japan
| | - Satoru Komaki
- Department of Neurosurgery; Department of Neuropathology, St. Mary's Hospita, Kurume, Japan
| | - Koichi Ohshima
- From the Department of Pathology; Department of Neuropathology, St. Mary's Hospita, Kurume, Japan
| | - Motohiro Morioka
- Department of Neurosurgery; Department of Neuropathology, St. Mary's Hospita, Kurume, Japan
| | - Yasuo Uchida
- Division of Membrane Transport and Drug Targeting, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai
| | - Masanori Tachikawa
- Division of Membrane Transport and Drug Targeting, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai.,Graduate School of Biomedical Sciences, Tokushima University, Tokushima
| | - Sumio Ohtsuki
- From the Department of Pathology; Department of Neuropathology, St. Mary's Hospita, Kurume, Japan.,Department of Pharmaceutical Microbiology, Faculty of Life Sciences, Kumamoto University, Kumamoto
| | - Tetsuya Terasaki
- Division of Membrane Transport and Drug Targeting, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai
| | - Mitsutoshi Nakada
- From the Department of Pathology; Department of Neuropathology, St. Mary's Hospita, Kurume, Japan.,Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Japan
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Chen L, Qin D, Guo X, Wang Q, Li J. Putting Proteomics Into Immunotherapy for Glioblastoma. Front Immunol 2021; 12:593255. [PMID: 33708196 PMCID: PMC7940695 DOI: 10.3389/fimmu.2021.593255] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 01/25/2021] [Indexed: 12/11/2022] Open
Abstract
In glioblastoma, the most aggressive brain cancer, a complex microenvironment of heterogeneity and immunosuppression, are considerable hurdles to classify the subtypes and promote treatment progression. Treatments for glioblastoma are similar to standard therapies for many other cancers and do not effectively prolong the survival of patients, due to the unique location and heterogeneous characteristics of glioblastoma. Immunotherapy has shown a promising effect for many other tumors, but its application for glioma still has some challenges. The recent breakthrough of high-throughput liquid chromatography-mass spectrometry (LC-MS/MS) systems has allowed researchers to update their strategy for identifying and quantifying thousands of proteins in a much shorter time with lesser effort. The protein maps can contribute to generating a complete map of regulatory systems to elucidate tumor mechanisms. In particular, newly developed unicellular proteomics could be used to determine the microenvironment and heterogeneity. In addition, a large scale of differentiated proteins provides more ways to precisely classify tumor subtypes and construct a larger library for biomarkers and biotargets, especially for immunotherapy. A series of advanced proteomic studies have been devoted to the different aspects of immunotherapy for glioma, including monoclonal antibodies, oncolytic viruses, dendritic cell (DC) vaccines, and chimeric antigen receptor (CAR) T cells. Thus, the application of proteomics in immunotherapy may accelerate research on the treatment of glioblastoma. In this review, we evaluate the frontline applications of proteomics strategies for immunotherapy in glioblastoma research.
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Affiliation(s)
- Liangyu Chen
- Department of Proteomics, Tianjin Enterprise Key Laboratory of Clinical Multi-omics, Tianjin, China
| | - Di Qin
- Department of Proteomics, Tianjin Enterprise Key Laboratory of Clinical Multi-omics, Tianjin, China
| | - Xinyu Guo
- Department of Proteomics, Tianjin Enterprise Key Laboratory of Clinical Multi-omics, Tianjin, China
| | - Qixue Wang
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Neuro-Oncology, Tianjin Neurological Institute, Tianjin, China
| | - Jie Li
- Department of Proteomics, Tianjin Enterprise Key Laboratory of Clinical Multi-omics, Tianjin, China
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