Yap, Xin-Le and Wood, Bayden and Ong, Teng-Aik and Lim, Jasmine and Goh, Bey-Hing and Lee, Wai-Leng (2021) Detection of prostate cancer via IR spectroscopic analysis of urinary extracellular vesicles: a pilot study. Membranes, 11 (8). ISSN 2077-0375, DOI https://doi.org/10.3390/membranes11080591.
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Funders: | Monash University Malaysia Large Strategic Research Grant (LG-2017-02-SCI), Fundamental Research Grant Scheme - Ministry of Higher Education Malaysia (FRGS/1/2019/SKK08/MUSM/02/4) |
| Uncontrolled Keywords: | EVs; Exosomes; Prostate cancer; FTIR; Urine test; Diagnosis |
| Subjects: | R Medicine R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer) |
| Divisions: | Faculty of Medicine |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 29 Mar 2022 07:21 |
| Last Modified: | 29 Mar 2022 07:21 |
| URI: | http://eprints.um.edu.my/id/eprint/28300 |
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