Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies

Detalhes bibliográficos
Autor(a) principal: Bernardino, RM
Data de Publicação: 2021
Outros Autores: Leão, R, Henrique, R, Pinheiro, LC, Kumar, P, Suravajhala, P, Beck, HC, Carvalho, AS, Matthiesen, R
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10400.17/4356
Resumo: Molecular diagnostics based on discovery research holds the promise of improving screening methods for prostate cancer (PCa). Furthermore, the congregated information prompts the question whether the urinary extracellular vesicles (uEV) proteome has been thoroughly explored, especially at the proteome level. In fact, most extracellular vesicles (EV) based biomarker studies have mainly targeted plasma or serum. Therefore, in this study, we aim to inquire about possible strategies for urinary biomarker discovery particularly focused on the proteome of urine EVs. Proteomics data deposited in the PRIDE archive were reanalyzed to target identifications of potential PCa markers. Network analysis of the markers proposed by different prostate cancer studies revealed moderate overlap. The recent throughput improvements in mass spectrometry together with the network analysis performed in this study, suggest that a larger standardized cohort may provide potential biomarkers that are able to fully characterize the heterogeneity of PCa. According to our analysis PCa studies based on urinary EV proteome presents higher protein coverage compared to plasma, plasma EV, and voided urine proteome. This together with a direct interaction of the prostate gland and urethra makes uEVs an attractive option for protein biomarker studies. In addition, urinary proteome based PCa studies must also evaluate samples from bladder and renal cancers to assess specificity for PCa.
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spelling Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry StudiesBiomarkersExtracellular vesiclesProstate cancerProteomicsUrine extracellular vesiclesHCC UROMolecular diagnostics based on discovery research holds the promise of improving screening methods for prostate cancer (PCa). Furthermore, the congregated information prompts the question whether the urinary extracellular vesicles (uEV) proteome has been thoroughly explored, especially at the proteome level. In fact, most extracellular vesicles (EV) based biomarker studies have mainly targeted plasma or serum. Therefore, in this study, we aim to inquire about possible strategies for urinary biomarker discovery particularly focused on the proteome of urine EVs. Proteomics data deposited in the PRIDE archive were reanalyzed to target identifications of potential PCa markers. Network analysis of the markers proposed by different prostate cancer studies revealed moderate overlap. The recent throughput improvements in mass spectrometry together with the network analysis performed in this study, suggest that a larger standardized cohort may provide potential biomarkers that are able to fully characterize the heterogeneity of PCa. According to our analysis PCa studies based on urinary EV proteome presents higher protein coverage compared to plasma, plasma EV, and voided urine proteome. This together with a direct interaction of the prostate gland and urethra makes uEVs an attractive option for protein biomarker studies. In addition, urinary proteome based PCa studies must also evaluate samples from bladder and renal cancers to assess specificity for PCa.Multidisciplinary Digital Publishing Institute (MDPI)Repositório da Unidade Local de Saúde São JoséBernardino, RMLeão, RHenrique, RPinheiro, LCKumar, PSuravajhala, PBeck, HCCarvalho, ASMatthiesen, R2023-01-11T15:56:33Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.17/4356eng10.3390/ijms222413605info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-06T16:51:08Zoai:repositorio.chlc.pt:10400.17/4356Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:21:51.285481Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies
title Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies
spellingShingle Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies
Bernardino, RM
Biomarkers
Extracellular vesicles
Prostate cancer
Proteomics
Urine extracellular vesicles
HCC URO
title_short Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies
title_full Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies
title_fullStr Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies
title_full_unstemmed Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies
title_sort Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies
author Bernardino, RM
author_facet Bernardino, RM
Leão, R
Henrique, R
Pinheiro, LC
Kumar, P
Suravajhala, P
Beck, HC
Carvalho, AS
Matthiesen, R
author_role author
author2 Leão, R
Henrique, R
Pinheiro, LC
Kumar, P
Suravajhala, P
Beck, HC
Carvalho, AS
Matthiesen, R
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Unidade Local de Saúde São José
dc.contributor.author.fl_str_mv Bernardino, RM
Leão, R
Henrique, R
Pinheiro, LC
Kumar, P
Suravajhala, P
Beck, HC
Carvalho, AS
Matthiesen, R
dc.subject.por.fl_str_mv Biomarkers
Extracellular vesicles
Prostate cancer
Proteomics
Urine extracellular vesicles
HCC URO
topic Biomarkers
Extracellular vesicles
Prostate cancer
Proteomics
Urine extracellular vesicles
HCC URO
description Molecular diagnostics based on discovery research holds the promise of improving screening methods for prostate cancer (PCa). Furthermore, the congregated information prompts the question whether the urinary extracellular vesicles (uEV) proteome has been thoroughly explored, especially at the proteome level. In fact, most extracellular vesicles (EV) based biomarker studies have mainly targeted plasma or serum. Therefore, in this study, we aim to inquire about possible strategies for urinary biomarker discovery particularly focused on the proteome of urine EVs. Proteomics data deposited in the PRIDE archive were reanalyzed to target identifications of potential PCa markers. Network analysis of the markers proposed by different prostate cancer studies revealed moderate overlap. The recent throughput improvements in mass spectrometry together with the network analysis performed in this study, suggest that a larger standardized cohort may provide potential biomarkers that are able to fully characterize the heterogeneity of PCa. According to our analysis PCa studies based on urinary EV proteome presents higher protein coverage compared to plasma, plasma EV, and voided urine proteome. This together with a direct interaction of the prostate gland and urethra makes uEVs an attractive option for protein biomarker studies. In addition, urinary proteome based PCa studies must also evaluate samples from bladder and renal cancers to assess specificity for PCa.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01T00:00:00Z
2023-01-11T15:56:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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url http://hdl.handle.net/10400.17/4356
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.3390/ijms222413605
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dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
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