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Establishing a Urine-Based Biomarker Assay for Prostate Cancer Risk Stratification

One of the major features of prostate cancer (PCa) is its heterogeneity, which often leads to uncertainty in cancer diagnostics and unnecessary biopsies as well as overtreatment of the disease. Novel non-invasive tests using multiple biomarkers that can identify clinically high-risk cancer patients...

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Autores principales: Guo, Jinan, Liu, Dale, Zhang, Xuhui, Johnson, Heather, Feng, Xiaoyan, Zhang, Heqiu, Wu, Alan H. B., Chen, Lingwu, Fang, Jiequn, Xiao, Zhangang, Xiao, Kefeng, Persson, Jenny L., Zou, Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758396/
https://www.ncbi.nlm.nih.gov/pubmed/33363151
http://dx.doi.org/10.3389/fcell.2020.597961
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author Guo, Jinan
Liu, Dale
Zhang, Xuhui
Johnson, Heather
Feng, Xiaoyan
Zhang, Heqiu
Wu, Alan H. B.
Chen, Lingwu
Fang, Jiequn
Xiao, Zhangang
Xiao, Kefeng
Persson, Jenny L.
Zou, Chang
author_facet Guo, Jinan
Liu, Dale
Zhang, Xuhui
Johnson, Heather
Feng, Xiaoyan
Zhang, Heqiu
Wu, Alan H. B.
Chen, Lingwu
Fang, Jiequn
Xiao, Zhangang
Xiao, Kefeng
Persson, Jenny L.
Zou, Chang
author_sort Guo, Jinan
collection PubMed
description One of the major features of prostate cancer (PCa) is its heterogeneity, which often leads to uncertainty in cancer diagnostics and unnecessary biopsies as well as overtreatment of the disease. Novel non-invasive tests using multiple biomarkers that can identify clinically high-risk cancer patients for immediate treatment and monitor patients with low-risk cancer for active surveillance are urgently needed to improve treatment decision and cancer management. In this study, we identified 14 promising biomarkers associated with PCa and tested the performance of these biomarkers on tissue specimens and pre-biopsy urinary sediments. These biomarkers showed differential gene expression in higher- and lower-risk PCa. The 14-Gene Panel urine test (PMP22, GOLM1, LMTK2, EZH2, GSTP1, PCA3, VEGFA, CST3, PTEN, PIP5K1A, CDK1, TMPRSS2, ANXA3, and CCND1) was assessed in two independent prospective and retrospective urine study cohorts and showed high diagnostic accuracy to identify higher-risk PCa patients with the need for treatment and lower-risk patients for surveillance. The AUC was 0.897 (95% CI 0.939–0.855) in the prospective cohort (n = 202), and AUC was 0.899 (95% CI 0.964–0.834) in the retrospective cohort (n = 97). In contrast, serum PSA and Gleason score had much lower accuracy in the same 202 patient cohorts [AUC was 0.821 (95% CI 0.879–0.763) for PSA and 0.860 (95% CI 0.910–0.810) for Gleason score]. In addition, the 14-Gene Panel was more accurate at risk stratification in a subgroup of patients with Gleason scores 6 and 7 in the prospective cohort (n = 132) with AUC of 0.923 (95% CI 0.968–0.878) than PSA [AUC of 0.773 (95% CI 0.852–0.794)] and Gleason score [AUC of 0.776 (95% CI 0.854–0.698)]. Furthermore, the 14-Gene Panel was found to be able to accurately distinguish PCa from benign prostate with AUC of 0.854 (95% CI 0.892–0.816) in a prospective urine study cohort (n = 393), while PSA had lower accuracy with AUC of 0.652 (95% CI 0.706–0.598). Taken together, the 14-Gene Panel urine test represents a promising non-invasive tool for detection of higher-risk PCa to aid treatment decision and lower-risk PCa for active surveillance.
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spelling pubmed-77583962020-12-25 Establishing a Urine-Based Biomarker Assay for Prostate Cancer Risk Stratification Guo, Jinan Liu, Dale Zhang, Xuhui Johnson, Heather Feng, Xiaoyan Zhang, Heqiu Wu, Alan H. B. Chen, Lingwu Fang, Jiequn Xiao, Zhangang Xiao, Kefeng Persson, Jenny L. Zou, Chang Front Cell Dev Biol Cell and Developmental Biology One of the major features of prostate cancer (PCa) is its heterogeneity, which often leads to uncertainty in cancer diagnostics and unnecessary biopsies as well as overtreatment of the disease. Novel non-invasive tests using multiple biomarkers that can identify clinically high-risk cancer patients for immediate treatment and monitor patients with low-risk cancer for active surveillance are urgently needed to improve treatment decision and cancer management. In this study, we identified 14 promising biomarkers associated with PCa and tested the performance of these biomarkers on tissue specimens and pre-biopsy urinary sediments. These biomarkers showed differential gene expression in higher- and lower-risk PCa. The 14-Gene Panel urine test (PMP22, GOLM1, LMTK2, EZH2, GSTP1, PCA3, VEGFA, CST3, PTEN, PIP5K1A, CDK1, TMPRSS2, ANXA3, and CCND1) was assessed in two independent prospective and retrospective urine study cohorts and showed high diagnostic accuracy to identify higher-risk PCa patients with the need for treatment and lower-risk patients for surveillance. The AUC was 0.897 (95% CI 0.939–0.855) in the prospective cohort (n = 202), and AUC was 0.899 (95% CI 0.964–0.834) in the retrospective cohort (n = 97). In contrast, serum PSA and Gleason score had much lower accuracy in the same 202 patient cohorts [AUC was 0.821 (95% CI 0.879–0.763) for PSA and 0.860 (95% CI 0.910–0.810) for Gleason score]. In addition, the 14-Gene Panel was more accurate at risk stratification in a subgroup of patients with Gleason scores 6 and 7 in the prospective cohort (n = 132) with AUC of 0.923 (95% CI 0.968–0.878) than PSA [AUC of 0.773 (95% CI 0.852–0.794)] and Gleason score [AUC of 0.776 (95% CI 0.854–0.698)]. Furthermore, the 14-Gene Panel was found to be able to accurately distinguish PCa from benign prostate with AUC of 0.854 (95% CI 0.892–0.816) in a prospective urine study cohort (n = 393), while PSA had lower accuracy with AUC of 0.652 (95% CI 0.706–0.598). Taken together, the 14-Gene Panel urine test represents a promising non-invasive tool for detection of higher-risk PCa to aid treatment decision and lower-risk PCa for active surveillance. Frontiers Media S.A. 2020-12-10 /pmc/articles/PMC7758396/ /pubmed/33363151 http://dx.doi.org/10.3389/fcell.2020.597961 Text en Copyright © 2020 Guo, Liu, Zhang, Johnson, Feng, Zhang, Wu, Chen, Fang, Xiao, Xiao, Persson and Zou. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cell and Developmental Biology
Guo, Jinan
Liu, Dale
Zhang, Xuhui
Johnson, Heather
Feng, Xiaoyan
Zhang, Heqiu
Wu, Alan H. B.
Chen, Lingwu
Fang, Jiequn
Xiao, Zhangang
Xiao, Kefeng
Persson, Jenny L.
Zou, Chang
Establishing a Urine-Based Biomarker Assay for Prostate Cancer Risk Stratification
title Establishing a Urine-Based Biomarker Assay for Prostate Cancer Risk Stratification
title_full Establishing a Urine-Based Biomarker Assay for Prostate Cancer Risk Stratification
title_fullStr Establishing a Urine-Based Biomarker Assay for Prostate Cancer Risk Stratification
title_full_unstemmed Establishing a Urine-Based Biomarker Assay for Prostate Cancer Risk Stratification
title_short Establishing a Urine-Based Biomarker Assay for Prostate Cancer Risk Stratification
title_sort establishing a urine-based biomarker assay for prostate cancer risk stratification
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758396/
https://www.ncbi.nlm.nih.gov/pubmed/33363151
http://dx.doi.org/10.3389/fcell.2020.597961
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