Your browser doesn't support javascript.
loading
Detection of Prostate Cancer via IR Spectroscopic Analysis of Urinary Extracellular Vesicles: A Pilot Study.
Yap, Xin-Le; Wood, Bayden; Ong, Teng-Aik; Lim, Jasmine; Goh, Bey-Hing; Lee, Wai-Leng.
Afiliação
  • Yap XL; School of Science, Monash University Malaysia, Jalan Lagoon Selatan, Subang Jaya 47500, Malaysia.
  • Wood B; Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton, VIC 3800, Australia.
  • Ong TA; Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
  • Lim J; Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
  • Goh BH; College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.
  • Lee WL; Biofunctional Molecule Exploratory (BMEX) Research Group, School of Pharmacy, Monash University Malaysia, Subang Jaya 47500, Malaysia.
Membranes (Basel) ; 11(8)2021 Jul 31.
Article em En | MEDLINE | ID: mdl-34436354
ABSTRACT
Extracellular vesicles (EVs) are membranous nanoparticles naturally released from living cells which can be found in all types of body fluids. Recent studies found that cancer cells secreted EVs containing the unique set of biomolecules, which give rise to a distinctive absorbance spectrum representing its cancer type. In this study, we aimed to detect the medium EVs (200-300 nm) from the urine of prostate cancer patients using Fourier transform infrared (FTIR) spectroscopy and determine their association with cancer progression. EVs extracted from 53 urine samples from patients suspected of prostate cancer were analyzed and their FTIR spectra were preprocessed for analysis. Characterization of morphology, particle size and marker proteins confirmed that EVs were successfully isolated from urine samples. Principal component analysis (PCA) of the EV's spectra showed the model could discriminate prostate cancer with a sensitivity of 59% and a specificity of 81%. The area under curve (AUC) of FTIR PCA model for prostate cancer detection in the cases with 4-20 ng/mL PSA was 0.7, while the AUC for PSA alone was 0.437, suggesting the analysis of urinary EVs described in this study may offer a novel strategy for the development of a noninvasive additional test for prostate cancer screening.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Membranes (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Malásia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Membranes (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Malásia