Literature DB >> 19424173

The use of PCA3 in the diagnosis of prostate cancer.

Daphne Hessels1, Jack A Schalken.   

Abstract

Although the routine use of serum PSA testing has undoubtedly increased prostate cancer detection, one of its main drawbacks has been its lack of specificity, which results in a high negative biopsy rate. Consequently, a large population of men with chronically elevated serum PSA and one or more negative biopsies has emerged. More accurate tests are needed that can help identify which patients are at high risk of developing prostate cancer, and for whom repeat prostate biopsies are mandatory. To improve the specificity of prostate cancer diagnosis, prostate-cancer-specific markers, such as prostate cancer gene 3 (PCA3), are needed. The strong association between PCA3 mRNA overexpression and malignant transformation of prostate epithelium indicates its potential as a diagnostic biomarker. Quantification of PCA3 mRNA levels in urine was found to help predict the outcome of prostate biopsies. The intensive and time-consuming reverse-transcriptase polymerase chain reaction PCA3 urine test has been translated successfully into the fast and easy transcription-mediated amplification (TMA)-based PCA3 test. This test is the first RNA-based molecular diagnostic assay in body fluids for prostate cancer that is available to urologists. This Review describes the translation of the molecular marker PCA3 from the research laboratory to clinical practice.

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Year:  2009        PMID: 19424173     DOI: 10.1038/nrurol.2009.40

Source DB:  PubMed          Journal:  Nat Rev Urol        ISSN: 1759-4812            Impact factor:   14.432


  26 in total

1.  APTIMA PCA3 molecular urine test: development of a method to aid in the diagnosis of prostate cancer.

Authors:  Jack Groskopf; Sheila M J Aubin; Ina Lim Deras; Amy Blase; Sharon Bodrug; Craig Clark; Steven Brentano; Jeannette Mathis; Jimmykim Pham; Troels Meyer; Michelle Cass; Petrea Hodge; Maria Luz Macairan; Leonard S Marks; Harry Rittenhouse
Journal:  Clin Chem       Date:  2006-04-20       Impact factor: 8.327

2.  PCA3: a molecular urine assay for predicting prostate biopsy outcome.

Authors:  Ina L Deras; Sheila M J Aubin; Amy Blase; John R Day; Seongjoon Koo; Alan W Partin; William J Ellis; Leonard S Marks; Yves Fradet; Harry Rittenhouse; Jack Groskopf
Journal:  J Urol       Date:  2008-03-04       Impact factor: 7.450

3.  DD3: a new prostate-specific gene, highly overexpressed in prostate cancer.

Authors:  M J Bussemakers; A van Bokhoven; G W Verhaegh; F P Smit; H F Karthaus; J A Schalken; F M Debruyne; N Ru; W B Isaacs
Journal:  Cancer Res       Date:  1999-12-01       Impact factor: 12.701

Review 4.  Use of prostate-specific antigen (PSA) isoforms for the detection of prostate cancer in men with a PSA level of 2-10 ng/ml: systematic review and meta-analysis.

Authors:  Andrew W Roddam; Michael J Duffy; Freddie C Hamdy; Anthony Milford Ward; Julietta Patnick; Christopher P Price; Janet Rimmer; Cathie Sturgeon; Peter White; Naomi E Allen
Journal:  Eur Urol       Date:  2005-09       Impact factor: 20.096

5.  The expression of a variant prostate-specific antigen in human prostate.

Authors:  Fan J Meng; Ailin Shan; Long Jin; Charles Y F Young
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2002-03       Impact factor: 4.254

6.  TMPRSS2:ETV4 gene fusions define a third molecular subtype of prostate cancer.

Authors:  Scott A Tomlins; Rohit Mehra; Daniel R Rhodes; Lisa R Smith; Diane Roulston; Beth E Helgeson; Xuhong Cao; John T Wei; Mark A Rubin; Rajal B Shah; Arul M Chinnaiyan
Journal:  Cancer Res       Date:  2006-04-01       Impact factor: 12.701

7.  An analysis of urinary prostate specific antigen before and after radical prostatectomy: evidence for secretion of prostate specific antigen by the periurethral glands.

Authors:  J Iwakiri; K Granbois; N Wehner; H C Graves; T Stamey
Journal:  J Urol       Date:  1993-04       Impact factor: 7.450

8.  The time-resolved fluorescence-based PCA3 test on urinary sediments after digital rectal examination; a Dutch multicenter validation of the diagnostic performance.

Authors:  Martijn P M Q van Gils; Daphne Hessels; Onno van Hooij; Sander A Jannink; W Pim Peelen; Suzanne L J Hanssen; J Alfred Witjes; Erik B Cornel; Herbert F M Karthaus; Geert A H J Smits; Gerhard A Dijkman; Peter F A Mulders; Jack A Schalken
Journal:  Clin Cancer Res       Date:  2007-02-01       Impact factor: 12.531

9.  Predicting prostate cancer risk through incorporation of prostate cancer gene 3.

Authors:  Donna Pauler Ankerst; Jack Groskopf; John R Day; Amy Blase; Harry Rittenhouse; Brad H Pollock; Cathy Tangen; Dipen Parekh; Robin J Leach; Ian Thompson
Journal:  J Urol       Date:  2008-08-15       Impact factor: 7.450

10.  A multicenter evaluation of the PCA3 molecular urine test: pre-analytical effects, analytical performance, and diagnostic accuracy.

Authors:  Lori J Sokoll; William Ellis; Paul Lange; Jennifer Noteboom; Debra J Elliott; Ina L Deras; Amy Blase; Seongjoon Koo; Mark Sarno; Harry Rittenhouse; Jack Groskopf; Robert L Vessella
Journal:  Clin Chim Acta       Date:  2007-11-17       Impact factor: 3.786

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  72 in total

Review 1.  Urine collection and processing for protein biomarker discovery and quantification.

Authors:  C Eric Thomas; Wade Sexton; Kaaron Benson; Rebecca Sutphen; John Koomen
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-23       Impact factor: 4.254

2.  Expression profile of long non-coding RNAs is altered in endometrial cancer.

Authors:  Lin Yang; Jie Zhang; Anli Jiang; Qingwei Liu; Changzhong Li; Chunrun Yang; Jianjun Xiu
Journal:  Int J Clin Exp Med       Date:  2015-04-15

3.  Recent Advances in Metabolic Profiling And Imaging of Prostate Cancer.

Authors:  Roopa Thapar; Mark A Titus
Journal:  Curr Metabolomics       Date:  2014-04

4.  New Prognostic Markers: The Pathway from Research to Clinical Practice.

Authors:  Caroline Savage; Andrew J Vickers
Journal:  Grand rounds Urol       Date:  2009-08

5.  Long intragenic non-coding RNA lincRNA-p21 suppresses development of human prostate cancer.

Authors:  Xiaohai Wang; Yuan Ruan; Xingjie Wang; Wei Zhao; Qi Jiang; Chenyi Jiang; Yuyang Zhao; Yongzhi Xu; Feng Sun; Yiping Zhu; Shujie Xia; Dongliang Xu
Journal:  Cell Prolif       Date:  2016-12-14       Impact factor: 6.831

6.  Measuring lncRNA Expression by Real-Time PCR.

Authors:  Sonam Dhamija; Manoj B Menon
Journal:  Methods Mol Biol       Date:  2021

7.  Improving the Specificity of Screening for Lethal Prostate Cancer Using Prostate-specific Antigen and a Panel of Kallikrein Markers: A Nested Case-Control Study.

Authors:  Pär Stattin; Andrew J Vickers; Daniel D Sjoberg; Robert Johansson; Torvald Granfors; Mattias Johansson; Kim Pettersson; Peter T Scardino; Göran Hallmans; Hans Lilja
Journal:  Eur Urol       Date:  2015-02-11       Impact factor: 20.096

8.  RNA-seq analysis of prostate cancer in the Chinese population identifies recurrent gene fusions, cancer-associated long noncoding RNAs and aberrant alternative splicings.

Authors:  Shancheng Ren; Zhiyu Peng; Jian-Hua Mao; Yongwei Yu; Changjun Yin; Xin Gao; Zilian Cui; Jibin Zhang; Kang Yi; Weidong Xu; Chao Chen; Fubo Wang; Xinwu Guo; Ji Lu; Jun Yang; Min Wei; Zhijian Tian; Yinghui Guan; Liang Tang; Chuanliang Xu; Linhui Wang; Xu Gao; Wei Tian; Jian Wang; Huanming Yang; Jun Wang; Yinghao Sun
Journal:  Cell Res       Date:  2012-02-21       Impact factor: 25.617

Review 9.  Urinary biomarkers for prostate cancer: a review.

Authors:  Daphne Hessels; Jack A Schalken
Journal:  Asian J Androl       Date:  2013-03-25       Impact factor: 3.285

10.  Novel primate-specific genes, RMEL 1, 2 and 3, with highly restricted expression in melanoma, assessed by new data mining tool.

Authors:  Josane F Sousa; Raul Torrieri; Rodrigo R Silva; Cristiano G Pereira; Valeria Valente; Erico Torrieri; Kamila C Peronni; Waleska Martins; Nair Muto; Guilherme Francisco; Carla Abdo Brohem; Carlos G Carlotti; Silvya S Maria-Engler; Roger Chammas; Enilza M Espreafico
Journal:  PLoS One       Date:  2010-10-20       Impact factor: 3.240

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