Utilize este identificador para referenciar este registo: https://hdl.handle.net/10316/104802
Título: Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies
Autor: Bernardino, Rui Miguel Marques 
Leão, Ricardo 
Henriques, Rui T. 
Pinheiro, Luis Campos
Kumar, Prashant
Suravajhala, Prashanth
Beck, Hans Christian
Carvalho, Ana Sofia
Matthiesen, Rune
Palavras-chave: extracellular vesicles (EVs); urine extracellular vesicles (uEVs); prostate cancer; proteomics; biomarkers
Data: 19-Dez-2021
Editora: MDPI
Projeto: FCT - PTDC/BTMTEC/ 30087/2017 
FCT - PTDC/BTM-TEC/30088/2017 
UIDB/04462/2020 
Título da revista, periódico, livro ou evento: International Journal of Molecular Sciences
Volume: 22
Número: 24
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.
URI: https://hdl.handle.net/10316/104802
ISSN: 1422-0067
DOI: 10.3390/ijms222413605
Direitos: openAccess
Aparece nas coleções:FMUC Medicina - Artigos em Revistas Internacionais

Mostrar registo em formato completo

Citações SCOPUSTM   

1
Visto em 1/mai/2023

Citações WEB OF SCIENCETM

4
Visto em 2/mai/2024

Visualizações de página

55
Visto em 7/mai/2024

Downloads

18
Visto em 7/mai/2024

Google ScholarTM

Verificar

Altmetric

Altmetric


Este registo está protegido por Licença Creative Commons Creative Commons