Ultrasensitive Immunoprofiling of Plasma Extracellular Vesicles Identifies Syndecan-1 as a Potential Tool for Minimally Invasive Diagnosis of Glioma.


Journal

Clinical cancer research : an official journal of the American Association for Cancer Research
ISSN: 1557-3265
Titre abrégé: Clin Cancer Res
Pays: United States
ID NLM: 9502500

Informations de publication

Date de publication:
15 05 2019
Historique:
received: 06 09 2018
revised: 16 11 2018
accepted: 16 01 2019
pubmed: 27 1 2019
medline: 17 7 2020
entrez: 26 1 2019
Statut: ppublish

Résumé

Liquid biopsy has great potential to improve the management of brain tumor patients at high risk of surgery-associated complications. Here, the aim was to explore plasma extracellular vesicle (plEV) immunoprofiling as a tool for noninvasive diagnosis of glioma. PlEV isolation and analysis were optimized using advanced mass spectrometry, nanoparticle tracking analysis, and electron microscopy. We then established a new procedure that combines size exclusion chromatography isolation and proximity extension assay-based ultrasensitive immunoprofiling of plEV proteins that was applied on a well-defined glioma study cohort ( Among potential candidates, we for the first time identify syndecan-1 (SDC1) as a plEV constituent that can discriminate between high-grade glioblastoma multiforme (GBM, WHO grade IV) and low-grade glioma [LGG, WHO grade II; area under the ROC curve (AUC): 0.81; sensitivity: 71%; specificity: 91%]. These findings were independently validated by ELISA. Tumor SDC1 mRNA expression similarly discriminated between GBM and LGG in an independent glioma patient population from The Cancer Genome Atlas cohort (AUC: 0.91; sensitivity: 79%; specificity: 91%). In experimental studies with GBM cells, we show that SDC1 is efficiently sorted to secreted EVs. Importantly, we found strong support of plEV Our studies support the concept of circulating plEVs as a tool for noninvasive diagnosis and monitoring of gliomas and should move this field closer to the goal of improving the management of cancer patients.

Identifiants

pubmed: 30679164
pii: 1078-0432.CCR-18-2946
doi: 10.1158/1078-0432.CCR-18-2946
doi:

Substances chimiques

Biomarkers, Tumor 0
SDC1 protein, human 0
Syndecan-1 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3115-3127

Informations de copyright

©2019 American Association for Cancer Research.

Auteurs

Vineesh Indira Chandran (V)

Department of Clinical Sciences, Lund, Section of Oncology and Pathology, Lund University, Lund, Sweden.

Charlotte Welinder (C)

Department of Clinical Sciences, Lund, Section of Oncology and Pathology, Lund University, Lund, Sweden.
Center of Excellence in Biological and Medical Mass Spectrometry (CEBMMS), Lund University, Lund, Sweden.

Ann-Sofie Månsson (AS)

Department of Clinical Sciences, Lund, Section of Oncology and Pathology, Lund University, Lund, Sweden.

Svenja Offer (S)

Department of Clinical Sciences, Lund, Section of Oncology and Pathology, Lund University, Lund, Sweden.

Eva Freyhult (E)

National Bioinformatics Infrastructure, SciLife Lab, Uppsala, Sweden.

Maria Pernemalm (M)

Department of Oncology and Pathology, Karolinska Institute, Solna, Sweden.

Sigrid M Lund (SM)

Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark.

Shona Pedersen (S)

Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark.
Faculty of Clinical Medicine, Aalborg University, Aalborg, Denmark.

Janne Lehtiö (J)

Department of Oncology and Pathology, Karolinska Institute, Solna, Sweden.

Gyorgy Marko-Varga (G)

Center of Excellence in Biological and Medical Mass Spectrometry (CEBMMS), Lund University, Lund, Sweden.
Clinical Protein Science and Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, Lund, Sweden.

Maria C Johansson (MC)

Department of Clinical Sciences, Lund, Section of Oncology and Pathology, Lund University, Lund, Sweden.

Elisabet Englund (E)

Department of Clinical Sciences, Lund, Section of Oncology and Pathology, Lund University, Lund, Sweden.

Pia C Sundgren (PC)

Department of Clinical Sciences, Lund, Section of Diagnostic Radiology, Lund University, Lund, Sweden.
Lund BioImaging Centre, Lund University, Lund, Sweden.
Department of Medical Imaging and Function, Skåne University Hospital, Lund, Lund, Sweden.

Mattias Belting (M)

Department of Clinical Sciences, Lund, Section of Oncology and Pathology, Lund University, Lund, Sweden. mattias.belting@med.lu.se.
Department of Hematology, Oncology and Radiophysics, Skåne University Hospital, Lund, Sweden.
Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.

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Classifications MeSH