Literature DB >> 33363151

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

Jinan Guo1,2,3, Dale Liu1,2, Xuhui Zhang4, Heather Johnson5, Xiaoyan Feng4, Heqiu Zhang4, Alan H B Wu6, Lingwu Chen7, Jiequn Fang1,2,3, Zhangang Xiao8, Kefeng Xiao1,2,3, Jenny L Persson9,10, Chang Zou1,2,3.   

Abstract

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.
Copyright © 2020 Guo, Liu, Zhang, Johnson, Feng, Zhang, Wu, Chen, Fang, Xiao, Xiao, Persson and Zou.

Entities:  

Keywords:  Gene Panel; Gleason score; cancer risk stratification; prostate cancer; urine-based biomarker

Year:  2020        PMID: 33363151      PMCID: PMC7758396          DOI: 10.3389/fcell.2020.597961

Source DB:  PubMed          Journal:  Front Cell Dev Biol        ISSN: 2296-634X


  25 in total

1.  Self-Normalized Detection of ANXA3 from Untreated Urine of Prostate Cancer Patients without Digital Rectal Examination.

Authors:  Minhong Jeun; Sungwook Park; Yongdeok Kim; Jaewon Choi; Sang Hoon Song; In Gab Jeong; Choung-Soo Kim; Kwan Hyi Lee
Journal:  Adv Healthc Mater       Date:  2017-07-13       Impact factor: 9.933

Review 2.  The role of annexin A3 playing in cancers.

Authors:  Na Wu; Shuqing Liu; Chunmei Guo; Zhijie Hou; Ming-Zhong Sun
Journal:  Clin Transl Oncol       Date:  2012-08-22       Impact factor: 3.405

3.  A First-Time-in-Human Study of GSK2636771, a Phosphoinositide 3 Kinase Beta-Selective Inhibitor, in Patients with Advanced Solid Tumors.

Authors:  Joaquin Mateo; Gopinath Ganji; Charlotte Lemech; Howard A Burris; Sae-Won Han; Karen Swales; Shaun Decordova; M Phillip DeYoung; Deborah A Smith; Shanker Kalyana-Sundaram; Jiuhua Wu; Monica Motwani; Rakesh Kumar; Jerry M Tolson; Sun Young Rha; Hyun Cheol Chung; Joseph P Eder; Sunil Sharma; Yung-Jue Bang; Jeffrey R Infante; Li Yan; Johann S de Bono; Hendrik-Tobias Arkenau
Journal:  Clin Cancer Res       Date:  2017-06-23       Impact factor: 12.531

4.  MRGBP promotes AR-mediated transactivation of KLK3 and TMPRSS2 via acetylation of histone H2A.Z in prostate cancer cells.

Authors:  Saya Ito; Naruhiro Kayukawa; Takashi Ueda; Hidefumi Taniguchi; Yukako Morioka; Fumiya Hongo; Osamu Ukimura
Journal:  Biochim Biophys Acta Gene Regul Mech       Date:  2018-08-01       Impact factor: 4.490

Review 5.  Active surveillance for prostate cancer: current evidence and contemporary state of practice.

Authors:  Jeffrey J Tosoian; H Ballentine Carter; Abbey Lepor; Stacy Loeb
Journal:  Nat Rev Urol       Date:  2016-03-08       Impact factor: 14.432

6.  Development and validation of a 32-gene prognostic index for prostate cancer progression.

Authors:  Chin-Lee Wu; Brock E Schroeder; Xiao-Jun Ma; Christopher J Cutie; Shulin Wu; Ranelle Salunga; Yi Zhang; Michael W Kattan; Catherine A Schnabel; Mark G Erlander; W Scott McDougal
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-26       Impact factor: 11.205

7.  The role of PI3K/AKT-related PIP5K1α and the discovery of its selective inhibitor for treatment of advanced prostate cancer.

Authors:  Julius Semenas; Andreas Hedblom; Regina R Miftakhova; Martuza Sarwar; Rikard Larsson; Liliya Shcherbina; Martin E Johansson; Pirkko Härkönen; Olov Sterner; Jenny L Persson
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-28       Impact factor: 11.205

Review 8.  Expanded criteria for active surveillance in prostate cancer: a review of the current data.

Authors:  Cameron Jones; Mina M Fam; Benjamin J Davies
Journal:  Transl Androl Urol       Date:  2018-04

9.  Development and validation of a 25-Gene Panel urine test for prostate cancer diagnosis and potential treatment follow-up.

Authors:  Heather Johnson; Jinan Guo; Xuhui Zhang; Heqiu Zhang; Athanasios Simoulis; Alan H B Wu; Taolin Xia; Fei Li; Wanlong Tan; Allan Johnson; Nishtman Dizeyi; Per-Anders Abrahamsson; Lukas Kenner; Xiaoyan Feng; Chang Zou; Kefeng Xiao; Jenny L Persson; Lingwu Chen
Journal:  BMC Med       Date:  2020-12-01       Impact factor: 8.775

10.  Targeted suppression of AR-V7 using PIP5K1α inhibitor overcomes enzalutamide resistance in prostate cancer cells.

Authors:  Martuza Sarwar; Julius Semenas; Regina Miftakhova; Athanasios Simoulis; Brian Robinson; Anette Gjörloff Wingren; Nigel P Mongan; David M Heery; Heather Johnsson; Per-Anders Abrahamsson; Nishtman Dizeyi; Jun Luo; Jenny L Persson
Journal:  Oncotarget       Date:  2016-09-27
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  2 in total

1.  Gene-Mutation-Based Algorithm for Prediction of Treatment Response in Colorectal Cancer Patients.

Authors:  Heather Johnson; Zahra El-Schich; Amjad Ali; Xuhui Zhang; Athanasios Simoulis; Anette Gjörloff Wingren; Jenny L Persson
Journal:  Cancers (Basel)       Date:  2022-04-18       Impact factor: 6.575

2.  Systematic Elucidation of the Aneuploidy Landscape and Identification of Aneuploidy Driver Genes in Prostate Cancer.

Authors:  Yun Peng; Yuxuan Song; Haitao Wang
Journal:  Front Cell Dev Biol       Date:  2022-01-21
  2 in total

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