Detection of prostate cancer via IR spectroscopic analysis of urinary extracellular vesicles: a pilot study
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 represent...
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my.um.eprints.283002022-03-29T07:21:52Z http://eprints.um.edu.my/28300/ 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 R Medicine RC0254 Neoplasms. Tumors. Oncology (including Cancer) 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. MDPI 2021 Article PeerReviewed 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 <https://doi.org/10.3390/membranes11080591>. 10.3390/membranes11080591 |
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R Medicine RC0254 Neoplasms. Tumors. Oncology (including Cancer) Yap, Xin-Le Wood, Bayden Ong, Teng-Aik Lim, Jasmine Goh, Bey-Hing Lee, Wai-Leng Detection of prostate cancer via IR spectroscopic analysis of urinary extracellular vesicles: a pilot study |
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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. |
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Article |
author |
Yap, Xin-Le Wood, Bayden Ong, Teng-Aik Lim, Jasmine Goh, Bey-Hing Lee, Wai-Leng |
author_facet |
Yap, Xin-Le Wood, Bayden Ong, Teng-Aik Lim, Jasmine Goh, Bey-Hing Lee, Wai-Leng |
author_sort |
Yap, Xin-Le |
title |
Detection of prostate cancer via IR spectroscopic analysis of urinary extracellular vesicles: a pilot study |
title_short |
Detection of prostate cancer via IR spectroscopic analysis of urinary extracellular vesicles: a pilot study |
title_full |
Detection of prostate cancer via IR spectroscopic analysis of urinary extracellular vesicles: a pilot study |
title_fullStr |
Detection of prostate cancer via IR spectroscopic analysis of urinary extracellular vesicles: a pilot study |
title_full_unstemmed |
Detection of prostate cancer via IR spectroscopic analysis of urinary extracellular vesicles: a pilot study |
title_sort |
detection of prostate cancer via ir spectroscopic analysis of urinary extracellular vesicles: a pilot study |
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MDPI |
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2021 |
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http://eprints.um.edu.my/28300/ |
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1735409552006840320 |
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13.251813 |