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Prostate cancer antigen 3 moderately improves diagnostic accuracy in Chinese patients undergoing first prostate biopsy
Prostate cancer antigen 3 (PCA3) is a biomarker for diagnosing prostate cancer (PCa) identified in the Caucasian population. We evaluated the effectiveness of urinary PCA3 in predicting the biopsy result in 500 men undergoing initial prostate biopsy. The predictive power of the PCA3 score was evalua...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5312226/ https://www.ncbi.nlm.nih.gov/pubmed/26780868 http://dx.doi.org/10.4103/1008-682X.167715 |
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author | Wang, Fu-Bo Chen, Rui Ren, Shan-Cheng Shi, Xiao-Lei Zhu, Ya-Sheng Zhang, Wei Jing, Tai-Le Zhang, Chao Gao, Xu Hou, Jian-Guo Xu, Chuan-Liang Sun, Ying-Hao |
author_facet | Wang, Fu-Bo Chen, Rui Ren, Shan-Cheng Shi, Xiao-Lei Zhu, Ya-Sheng Zhang, Wei Jing, Tai-Le Zhang, Chao Gao, Xu Hou, Jian-Guo Xu, Chuan-Liang Sun, Ying-Hao |
author_sort | Wang, Fu-Bo |
collection | PubMed |
description | Prostate cancer antigen 3 (PCA3) is a biomarker for diagnosing prostate cancer (PCa) identified in the Caucasian population. We evaluated the effectiveness of urinary PCA3 in predicting the biopsy result in 500 men undergoing initial prostate biopsy. The predictive power of the PCA3 score was evaluated by the area under receiver operating characteristic (ROC) curve (AUC) and by decision curve analysis. PCA3 score sufficed to discriminate positive from negative prostate biopsy results but was not correlated with the aggressiveness of PCa. The ROC analysis showed a higher AUC for the PCA3 score than %fPSA (0.750 vs 0.622, P = 0.046) in patients with a PSA of 4.0–10.0 ng ml(−1), but the PCA3-based model is not significantly better than the base model. Decision curve analysis indicates the PCA3-based model was superior to the base model with a higher net benefit for almost all threshold probabilities, especially the threshold probabilities of 25%–40% in patients with a PSA of 4.0–10.0 ng ml(−1). However, the AUC of the PCA3 score (0.712) is not superior to %fPSA (0.698) or PSAD (0.773) in patients with a PSA >10.0 ng ml(−1). Our results confirmed that the RT-PCR-based PCA3 test moderately improved diagnostic accuracy in Chinese patients undergoing first prostate biopsy with a PSA of 4.0–10.0 ng ml(−1). |
format | Online Article Text |
id | pubmed-5312226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-53122262017-03-01 Prostate cancer antigen 3 moderately improves diagnostic accuracy in Chinese patients undergoing first prostate biopsy Wang, Fu-Bo Chen, Rui Ren, Shan-Cheng Shi, Xiao-Lei Zhu, Ya-Sheng Zhang, Wei Jing, Tai-Le Zhang, Chao Gao, Xu Hou, Jian-Guo Xu, Chuan-Liang Sun, Ying-Hao Asian J Androl Original Article Prostate cancer antigen 3 (PCA3) is a biomarker for diagnosing prostate cancer (PCa) identified in the Caucasian population. We evaluated the effectiveness of urinary PCA3 in predicting the biopsy result in 500 men undergoing initial prostate biopsy. The predictive power of the PCA3 score was evaluated by the area under receiver operating characteristic (ROC) curve (AUC) and by decision curve analysis. PCA3 score sufficed to discriminate positive from negative prostate biopsy results but was not correlated with the aggressiveness of PCa. The ROC analysis showed a higher AUC for the PCA3 score than %fPSA (0.750 vs 0.622, P = 0.046) in patients with a PSA of 4.0–10.0 ng ml(−1), but the PCA3-based model is not significantly better than the base model. Decision curve analysis indicates the PCA3-based model was superior to the base model with a higher net benefit for almost all threshold probabilities, especially the threshold probabilities of 25%–40% in patients with a PSA of 4.0–10.0 ng ml(−1). However, the AUC of the PCA3 score (0.712) is not superior to %fPSA (0.698) or PSAD (0.773) in patients with a PSA >10.0 ng ml(−1). Our results confirmed that the RT-PCR-based PCA3 test moderately improved diagnostic accuracy in Chinese patients undergoing first prostate biopsy with a PSA of 4.0–10.0 ng ml(−1). Medknow Publications & Media Pvt Ltd 2017 2016-01-19 /pmc/articles/PMC5312226/ /pubmed/26780868 http://dx.doi.org/10.4103/1008-682X.167715 Text en Copyright: © 2017 Asian Journal of Andrology http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Wang, Fu-Bo Chen, Rui Ren, Shan-Cheng Shi, Xiao-Lei Zhu, Ya-Sheng Zhang, Wei Jing, Tai-Le Zhang, Chao Gao, Xu Hou, Jian-Guo Xu, Chuan-Liang Sun, Ying-Hao Prostate cancer antigen 3 moderately improves diagnostic accuracy in Chinese patients undergoing first prostate biopsy |
title | Prostate cancer antigen 3 moderately improves diagnostic accuracy in Chinese patients undergoing first prostate biopsy |
title_full | Prostate cancer antigen 3 moderately improves diagnostic accuracy in Chinese patients undergoing first prostate biopsy |
title_fullStr | Prostate cancer antigen 3 moderately improves diagnostic accuracy in Chinese patients undergoing first prostate biopsy |
title_full_unstemmed | Prostate cancer antigen 3 moderately improves diagnostic accuracy in Chinese patients undergoing first prostate biopsy |
title_short | Prostate cancer antigen 3 moderately improves diagnostic accuracy in Chinese patients undergoing first prostate biopsy |
title_sort | prostate cancer antigen 3 moderately improves diagnostic accuracy in chinese patients undergoing first prostate biopsy |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5312226/ https://www.ncbi.nlm.nih.gov/pubmed/26780868 http://dx.doi.org/10.4103/1008-682X.167715 |
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