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Urinary glycoproteins associated with aggressive prostate cancer
Background: There is an urgent need for the detection of aggressive prostate cancer. Glycoproteins play essential roles in cancer development, while urine is a noninvasive and easily obtainable biological fluid that contains secretory glycoproteins from the urogenital system. Therefore, here we aime...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7667684/ https://www.ncbi.nlm.nih.gov/pubmed/33204318 http://dx.doi.org/10.7150/thno.47066 |
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author | Dong, Mingming Lih, T. Mamie Chen, Shao-Yung Cho, Kyung-Cho Eguez, Rodrigo Vargas Höti, Naseruddin Zhou, Yangying Yang, Weiming Mangold, Leslie Chan, Daniel W. Zhang, Zhen Sokoll, Lori J. Partin, Alan Zhang, Hui |
author_facet | Dong, Mingming Lih, T. Mamie Chen, Shao-Yung Cho, Kyung-Cho Eguez, Rodrigo Vargas Höti, Naseruddin Zhou, Yangying Yang, Weiming Mangold, Leslie Chan, Daniel W. Zhang, Zhen Sokoll, Lori J. Partin, Alan Zhang, Hui |
author_sort | Dong, Mingming |
collection | PubMed |
description | Background: There is an urgent need for the detection of aggressive prostate cancer. Glycoproteins play essential roles in cancer development, while urine is a noninvasive and easily obtainable biological fluid that contains secretory glycoproteins from the urogenital system. Therefore, here we aimed to identify urinary glycoproteins that are capable of differentiating aggressive from non-aggressive prostate cancer. Methods: Quantitative mass spectrometry data of glycopeptides from a discovery cohort comprised of 74 aggressive (Gleason score ≥8) and 68 non-aggressive (Gleason score = 6) prostate cancer urine specimens were acquired via a data independent acquisition approach. The glycopeptides showing distinct expression profiles in aggressive relative to non-aggressive prostate cancer were further evaluated for their performance in distinguishing the two groups either individually or in combination with others using repeated 5-fold cross validation with logistic regression to build predictive models. Predictive models showing good performance from the discovery cohort were further evaluated using a validation cohort. Results: Among the 20 candidate glycoproteins, urinary ACPP outperformed the other candidates. Urinary ACPP can also serve as an adjunct to serum PSA to further improve the discrimination power for aggressive prostate cancer (AUC= 0.82, 95% confidence interval 0.75 to 0.89). A three-signature panel including urinary ACPP, urinary CLU, and serum PSA displayed the ability to distinguish aggressive prostate cancer from non-aggressive prostate cancer with an AUC of 0.86 (95% confidence interval 0.8 to 0.92). Another three-signature panel containing urinary ACPP, urinary LOX, and serum PSA also demonstrated its ability in recognizing aggressive prostate cancer (AUC=0.82, 95% confidence interval 0.75 to 0.9). Moreover, consistent performance was observed from each panel when evaluated using a validation cohort. Conclusion: We have identified glycopeptides of urinary glycoproteins associated with aggressive prostate cancer using a quantitative mass spectrometry-based glycoproteomic approach and demonstrated their potential to serve as noninvasive urinary glycoprotein biomarkers worthy of further validation by a multi-center study. |
format | Online Article Text |
id | pubmed-7667684 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-76676842020-11-16 Urinary glycoproteins associated with aggressive prostate cancer Dong, Mingming Lih, T. Mamie Chen, Shao-Yung Cho, Kyung-Cho Eguez, Rodrigo Vargas Höti, Naseruddin Zhou, Yangying Yang, Weiming Mangold, Leslie Chan, Daniel W. Zhang, Zhen Sokoll, Lori J. Partin, Alan Zhang, Hui Theranostics Research Paper Background: There is an urgent need for the detection of aggressive prostate cancer. Glycoproteins play essential roles in cancer development, while urine is a noninvasive and easily obtainable biological fluid that contains secretory glycoproteins from the urogenital system. Therefore, here we aimed to identify urinary glycoproteins that are capable of differentiating aggressive from non-aggressive prostate cancer. Methods: Quantitative mass spectrometry data of glycopeptides from a discovery cohort comprised of 74 aggressive (Gleason score ≥8) and 68 non-aggressive (Gleason score = 6) prostate cancer urine specimens were acquired via a data independent acquisition approach. The glycopeptides showing distinct expression profiles in aggressive relative to non-aggressive prostate cancer were further evaluated for their performance in distinguishing the two groups either individually or in combination with others using repeated 5-fold cross validation with logistic regression to build predictive models. Predictive models showing good performance from the discovery cohort were further evaluated using a validation cohort. Results: Among the 20 candidate glycoproteins, urinary ACPP outperformed the other candidates. Urinary ACPP can also serve as an adjunct to serum PSA to further improve the discrimination power for aggressive prostate cancer (AUC= 0.82, 95% confidence interval 0.75 to 0.89). A three-signature panel including urinary ACPP, urinary CLU, and serum PSA displayed the ability to distinguish aggressive prostate cancer from non-aggressive prostate cancer with an AUC of 0.86 (95% confidence interval 0.8 to 0.92). Another three-signature panel containing urinary ACPP, urinary LOX, and serum PSA also demonstrated its ability in recognizing aggressive prostate cancer (AUC=0.82, 95% confidence interval 0.75 to 0.9). Moreover, consistent performance was observed from each panel when evaluated using a validation cohort. Conclusion: We have identified glycopeptides of urinary glycoproteins associated with aggressive prostate cancer using a quantitative mass spectrometry-based glycoproteomic approach and demonstrated their potential to serve as noninvasive urinary glycoprotein biomarkers worthy of further validation by a multi-center study. Ivyspring International Publisher 2020-10-25 /pmc/articles/PMC7667684/ /pubmed/33204318 http://dx.doi.org/10.7150/thno.47066 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Dong, Mingming Lih, T. Mamie Chen, Shao-Yung Cho, Kyung-Cho Eguez, Rodrigo Vargas Höti, Naseruddin Zhou, Yangying Yang, Weiming Mangold, Leslie Chan, Daniel W. Zhang, Zhen Sokoll, Lori J. Partin, Alan Zhang, Hui Urinary glycoproteins associated with aggressive prostate cancer |
title | Urinary glycoproteins associated with aggressive prostate cancer |
title_full | Urinary glycoproteins associated with aggressive prostate cancer |
title_fullStr | Urinary glycoproteins associated with aggressive prostate cancer |
title_full_unstemmed | Urinary glycoproteins associated with aggressive prostate cancer |
title_short | Urinary glycoproteins associated with aggressive prostate cancer |
title_sort | urinary glycoproteins associated with aggressive prostate cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7667684/ https://www.ncbi.nlm.nih.gov/pubmed/33204318 http://dx.doi.org/10.7150/thno.47066 |
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