Cargando…
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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783626929853693952 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7758396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT guojinan establishingaurinebasedbiomarkerassayforprostatecancerriskstratification AT liudale establishingaurinebasedbiomarkerassayforprostatecancerriskstratification AT zhangxuhui establishingaurinebasedbiomarkerassayforprostatecancerriskstratification AT johnsonheather establishingaurinebasedbiomarkerassayforprostatecancerriskstratification AT fengxiaoyan establishingaurinebasedbiomarkerassayforprostatecancerriskstratification AT zhangheqiu establishingaurinebasedbiomarkerassayforprostatecancerriskstratification AT wualanhb establishingaurinebasedbiomarkerassayforprostatecancerriskstratification AT chenlingwu establishingaurinebasedbiomarkerassayforprostatecancerriskstratification AT fangjiequn establishingaurinebasedbiomarkerassayforprostatecancerriskstratification AT xiaozhangang establishingaurinebasedbiomarkerassayforprostatecancerriskstratification AT xiaokefeng establishingaurinebasedbiomarkerassayforprostatecancerriskstratification AT perssonjennyl establishingaurinebasedbiomarkerassayforprostatecancerriskstratification AT zouchang establishingaurinebasedbiomarkerassayforprostatecancerriskstratification |