Cargando…

Unravelling the proteomic landscape of extracellular vesicles in prostate cancer by density-based fractionation of urine

Extracellular vesicles (EV) are increasingly being recognized as important vehicles of intercellular communication and promising diagnostic and prognostic biomarkers in cancer. Despite this enormous clinical potential, the plethora of methods to separate EV from biofluids, providing material of high...

Descripción completa

Detalles Bibliográficos
Autores principales: Dhondt, Bert, Geeurickx, Edward, Tulkens, Joeri, Van Deun, Jan, Vergauwen, Glenn, Lippens, Lien, Miinalainen, Ilkka, Rappu, Pekka, Heino, Jyrki, Ost, Piet, Lumen, Nicolaas, De Wever, Olivier, Hendrix, An
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144211/
https://www.ncbi.nlm.nih.gov/pubmed/32284825
http://dx.doi.org/10.1080/20013078.2020.1736935
_version_ 1783519793717968896
author Dhondt, Bert
Geeurickx, Edward
Tulkens, Joeri
Van Deun, Jan
Vergauwen, Glenn
Lippens, Lien
Miinalainen, Ilkka
Rappu, Pekka
Heino, Jyrki
Ost, Piet
Lumen, Nicolaas
De Wever, Olivier
Hendrix, An
author_facet Dhondt, Bert
Geeurickx, Edward
Tulkens, Joeri
Van Deun, Jan
Vergauwen, Glenn
Lippens, Lien
Miinalainen, Ilkka
Rappu, Pekka
Heino, Jyrki
Ost, Piet
Lumen, Nicolaas
De Wever, Olivier
Hendrix, An
author_sort Dhondt, Bert
collection PubMed
description Extracellular vesicles (EV) are increasingly being recognized as important vehicles of intercellular communication and promising diagnostic and prognostic biomarkers in cancer. Despite this enormous clinical potential, the plethora of methods to separate EV from biofluids, providing material of highly variable purity, and lacking knowledge regarding methodological repeatability pose a barrier to clinical translation. Urine is considered an ideal proximal fluid for the study of EV in urological cancers due to its direct contact with the urogenital system. We demonstrate that density-based fractionation of urine by bottom-up Optiprep density gradient centrifugation separates EV and soluble proteins with high specificity and repeatability. Mass spectrometry-based proteomic analysis of urinary EV (uEV) in men with benign and malignant prostate disease allowed us to significantly expand the known human uEV proteome with high specificity and identifies a unique biological profile in prostate cancer not uncovered by the analysis of soluble proteins. In addition, profiling the proteome of EV separated from prostate tumour conditioned medium and matched uEV confirms the specificity of the identified uEV proteome for prostate cancer. Finally, a comparative proteomic analysis with uEV from patients with bladder and renal cancer provided additional evidence of the selective enrichment of protein signatures in uEV reflecting their respective cancer tissues of origin. In conclusion, this study identifies hundreds of previously undetected proteins in uEV of prostate cancer patients and provides a powerful toolbox to map uEV content and contaminants ultimately allowing biomarker discovery in urological cancers.
format Online
Article
Text
id pubmed-7144211
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Taylor & Francis
record_format MEDLINE/PubMed
spelling pubmed-71442112020-04-13 Unravelling the proteomic landscape of extracellular vesicles in prostate cancer by density-based fractionation of urine Dhondt, Bert Geeurickx, Edward Tulkens, Joeri Van Deun, Jan Vergauwen, Glenn Lippens, Lien Miinalainen, Ilkka Rappu, Pekka Heino, Jyrki Ost, Piet Lumen, Nicolaas De Wever, Olivier Hendrix, An J Extracell Vesicles Research Article Extracellular vesicles (EV) are increasingly being recognized as important vehicles of intercellular communication and promising diagnostic and prognostic biomarkers in cancer. Despite this enormous clinical potential, the plethora of methods to separate EV from biofluids, providing material of highly variable purity, and lacking knowledge regarding methodological repeatability pose a barrier to clinical translation. Urine is considered an ideal proximal fluid for the study of EV in urological cancers due to its direct contact with the urogenital system. We demonstrate that density-based fractionation of urine by bottom-up Optiprep density gradient centrifugation separates EV and soluble proteins with high specificity and repeatability. Mass spectrometry-based proteomic analysis of urinary EV (uEV) in men with benign and malignant prostate disease allowed us to significantly expand the known human uEV proteome with high specificity and identifies a unique biological profile in prostate cancer not uncovered by the analysis of soluble proteins. In addition, profiling the proteome of EV separated from prostate tumour conditioned medium and matched uEV confirms the specificity of the identified uEV proteome for prostate cancer. Finally, a comparative proteomic analysis with uEV from patients with bladder and renal cancer provided additional evidence of the selective enrichment of protein signatures in uEV reflecting their respective cancer tissues of origin. In conclusion, this study identifies hundreds of previously undetected proteins in uEV of prostate cancer patients and provides a powerful toolbox to map uEV content and contaminants ultimately allowing biomarker discovery in urological cancers. Taylor & Francis 2020-03-11 /pmc/articles/PMC7144211/ /pubmed/32284825 http://dx.doi.org/10.1080/20013078.2020.1736935 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Dhondt, Bert
Geeurickx, Edward
Tulkens, Joeri
Van Deun, Jan
Vergauwen, Glenn
Lippens, Lien
Miinalainen, Ilkka
Rappu, Pekka
Heino, Jyrki
Ost, Piet
Lumen, Nicolaas
De Wever, Olivier
Hendrix, An
Unravelling the proteomic landscape of extracellular vesicles in prostate cancer by density-based fractionation of urine
title Unravelling the proteomic landscape of extracellular vesicles in prostate cancer by density-based fractionation of urine
title_full Unravelling the proteomic landscape of extracellular vesicles in prostate cancer by density-based fractionation of urine
title_fullStr Unravelling the proteomic landscape of extracellular vesicles in prostate cancer by density-based fractionation of urine
title_full_unstemmed Unravelling the proteomic landscape of extracellular vesicles in prostate cancer by density-based fractionation of urine
title_short Unravelling the proteomic landscape of extracellular vesicles in prostate cancer by density-based fractionation of urine
title_sort unravelling the proteomic landscape of extracellular vesicles in prostate cancer by density-based fractionation of urine
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144211/
https://www.ncbi.nlm.nih.gov/pubmed/32284825
http://dx.doi.org/10.1080/20013078.2020.1736935
work_keys_str_mv AT dhondtbert unravellingtheproteomiclandscapeofextracellularvesiclesinprostatecancerbydensitybasedfractionationofurine
AT geeurickxedward unravellingtheproteomiclandscapeofextracellularvesiclesinprostatecancerbydensitybasedfractionationofurine
AT tulkensjoeri unravellingtheproteomiclandscapeofextracellularvesiclesinprostatecancerbydensitybasedfractionationofurine
AT vandeunjan unravellingtheproteomiclandscapeofextracellularvesiclesinprostatecancerbydensitybasedfractionationofurine
AT vergauwenglenn unravellingtheproteomiclandscapeofextracellularvesiclesinprostatecancerbydensitybasedfractionationofurine
AT lippenslien unravellingtheproteomiclandscapeofextracellularvesiclesinprostatecancerbydensitybasedfractionationofurine
AT miinalainenilkka unravellingtheproteomiclandscapeofextracellularvesiclesinprostatecancerbydensitybasedfractionationofurine
AT rappupekka unravellingtheproteomiclandscapeofextracellularvesiclesinprostatecancerbydensitybasedfractionationofurine
AT heinojyrki unravellingtheproteomiclandscapeofextracellularvesiclesinprostatecancerbydensitybasedfractionationofurine
AT ostpiet unravellingtheproteomiclandscapeofextracellularvesiclesinprostatecancerbydensitybasedfractionationofurine
AT lumennicolaas unravellingtheproteomiclandscapeofextracellularvesiclesinprostatecancerbydensitybasedfractionationofurine
AT deweverolivier unravellingtheproteomiclandscapeofextracellularvesiclesinprostatecancerbydensitybasedfractionationofurine
AT hendrixan unravellingtheproteomiclandscapeofextracellularvesiclesinprostatecancerbydensitybasedfractionationofurine