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Effect of Body mass index on the performance characteristics of PSA-related markers to detect prostate cancer
To examine whether the predictive performance of prostate-specific antigen (PSA) and PSA-related markers for prostate cancer (PCa) is modified by body mass index (BMI). Patients with a PSA 2–10 ng/mL who underwent multicore prostate biopsies were recruited from three tertiary centers. Serum markers...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709513/ https://www.ncbi.nlm.nih.gov/pubmed/26754552 http://dx.doi.org/10.1038/srep19034 |
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author | Zhu, Yao Han, Cheng-Tao Zhang, Gui-Ming Liu, Fang Ding, Qiang Xu, Jian-Feng Vidal, Adriana C. Freedland, Stephen J. Ng, Chi-Fai Ye, Ding-Wei |
author_facet | Zhu, Yao Han, Cheng-Tao Zhang, Gui-Ming Liu, Fang Ding, Qiang Xu, Jian-Feng Vidal, Adriana C. Freedland, Stephen J. Ng, Chi-Fai Ye, Ding-Wei |
author_sort | Zhu, Yao |
collection | PubMed |
description | To examine whether the predictive performance of prostate-specific antigen (PSA) and PSA-related markers for prostate cancer (PCa) is modified by body mass index (BMI). Patients with a PSA 2–10 ng/mL who underwent multicore prostate biopsies were recruited from three tertiary centers. Serum markers measured included total PSA (tPSA), free-to-total PSA (f/tPSA), p2PSA, percentage of p2PSA (%p2PSA), and prostate health index (PHI). The association between serum markers and PCa risk was assessed by logistic regression. Predictive performance for each marker was quantified using the area under the receiver operator curves (AUC). Among 516 men, 18.2% had PCa at biopsy. For all tested markers, their predictive value on PCa risk was lower in obese patients compared to normal weight patients. We found statistically significant interactions between BMI and tPSA (P = 0.0026) and p2PSA (P = 0.038). PHI achieved an AUC of 0.872 in normal weight patients and 0.745 in obese patients, which outperformed the other predictors regardless of BMI category. In conclusion, PHI achieved the best predictive performance for detecting PCa and was not influenced by BMI. |
format | Online Article Text |
id | pubmed-4709513 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47095132016-01-20 Effect of Body mass index on the performance characteristics of PSA-related markers to detect prostate cancer Zhu, Yao Han, Cheng-Tao Zhang, Gui-Ming Liu, Fang Ding, Qiang Xu, Jian-Feng Vidal, Adriana C. Freedland, Stephen J. Ng, Chi-Fai Ye, Ding-Wei Sci Rep Article To examine whether the predictive performance of prostate-specific antigen (PSA) and PSA-related markers for prostate cancer (PCa) is modified by body mass index (BMI). Patients with a PSA 2–10 ng/mL who underwent multicore prostate biopsies were recruited from three tertiary centers. Serum markers measured included total PSA (tPSA), free-to-total PSA (f/tPSA), p2PSA, percentage of p2PSA (%p2PSA), and prostate health index (PHI). The association between serum markers and PCa risk was assessed by logistic regression. Predictive performance for each marker was quantified using the area under the receiver operator curves (AUC). Among 516 men, 18.2% had PCa at biopsy. For all tested markers, their predictive value on PCa risk was lower in obese patients compared to normal weight patients. We found statistically significant interactions between BMI and tPSA (P = 0.0026) and p2PSA (P = 0.038). PHI achieved an AUC of 0.872 in normal weight patients and 0.745 in obese patients, which outperformed the other predictors regardless of BMI category. In conclusion, PHI achieved the best predictive performance for detecting PCa and was not influenced by BMI. Nature Publishing Group 2016-01-12 /pmc/articles/PMC4709513/ /pubmed/26754552 http://dx.doi.org/10.1038/srep19034 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Zhu, Yao Han, Cheng-Tao Zhang, Gui-Ming Liu, Fang Ding, Qiang Xu, Jian-Feng Vidal, Adriana C. Freedland, Stephen J. Ng, Chi-Fai Ye, Ding-Wei Effect of Body mass index on the performance characteristics of PSA-related markers to detect prostate cancer |
title | Effect of Body mass index on the performance characteristics of PSA-related markers to detect prostate cancer |
title_full | Effect of Body mass index on the performance characteristics of PSA-related markers to detect prostate cancer |
title_fullStr | Effect of Body mass index on the performance characteristics of PSA-related markers to detect prostate cancer |
title_full_unstemmed | Effect of Body mass index on the performance characteristics of PSA-related markers to detect prostate cancer |
title_short | Effect of Body mass index on the performance characteristics of PSA-related markers to detect prostate cancer |
title_sort | effect of body mass index on the performance characteristics of psa-related markers to detect prostate cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709513/ https://www.ncbi.nlm.nih.gov/pubmed/26754552 http://dx.doi.org/10.1038/srep19034 |
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