Literature DB >> 15311056

A novel diagnostic test for prostate cancer emerges from the determination of alpha-methylacyl-coenzyme a racemase in prostatic secretions.

P J Zielie1, J A Mobley, R G Ebb, Z Jiang, R D Blute, S M Ho.   

Abstract

PURPOSE: With the recent discovery that alpha-methlyacly-coenzyme A racemase (AMACR) is over expressed in a majority of prostate cancer (CaP) specimens we developed a novel polymerase chain reaction (PCR) based approach that would predict the presence of CaP from prostatic secretions.
MATERIALS AND METHODS: A total of 21 patients were enlisted in this study, including 10 with CaP, 2 with high grade PIN and 9 cancer-free individuals (7 healthy men and 2 with benign hyperplasia). Total cellular RNA was extracted from prostatic secretions obtained from post-massage urine specimens. Levels of AMCAR transcripts and prostate specific antigen (PSA) transcripts in these samples were determined by quantitative reverse transcriptase-PCR analyses. Relative AMACR value scores (RAVSs) were calculated by normalizing the AMACR transcript level to that of PSA for each sample and multiplying by 100. An experimentally defined diagnostic cutoff RAVS value was determined in the cancer-free control group.
RESULTS: Neither AMACR nor PSA mRNA levels were predictive of CaP when used alone. However, using RAVS values and imposing a diagnostic cutoff value of 2 SDs above the mean RAVS in the cancer-free control group all 9 (100%) cancer-free individuals, including those with benign prostatic hyperplasia, were below the cutoff and 7 of 10 (70%) with CaP had RAVS above the cutoff. Furthermore, 2 of the 3 false-negative cases showed clinically insignificant disease. The 2 patients with high grade PIN were above the cutoff in this test.
CONCLUSIONS: In this study the quantification of AMACR transcripts normalized to PSA transcripts in prostatic secretions was shown to be predictive of CaP. Therefore, our novel approach using quantitative reverse transcriptase-PCR to detect the AMACR-to-PSA transcript ratio shows promise as a noninvasive screening test for CaP. Furthermore, early results demonstrate a trend toward excluding patients with clinically insignificant disease that may not yet require aggressive treatment due to a low cancer burden.

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Year:  2004        PMID: 15311056     DOI: 10.1097/01.ju.0000133560.87118.4d

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  26 in total

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Journal:  Nat Rev Urol       Date:  2014-11-18       Impact factor: 14.432

Review 3.  [Value of biomarkers in urology].

Authors:  P J Goebell; B Keck; S Wach; B Wullich
Journal:  Urologe A       Date:  2010-04       Impact factor: 0.639

4.  α-Methylacyl-CoA racemase spliced variants and their expression in normal and malignant prostate tissues.

Authors:  Bin Ouyang; Yuet-Kin Leung; Vinson Wang; Ethan Chung; Linda Levin; Bruce Bracken; Liang Cheng; Shuk-Mei Ho
Journal:  Urology       Date:  2011-01       Impact factor: 2.649

Review 5.  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

Review 6.  Genomic signatures associated with the development, progression, and outcome of prostate cancer.

Authors:  Prateek Mendiratta; Phillip G Febbo
Journal:  Mol Diagn Ther       Date:  2007       Impact factor: 4.074

7.  Newer potential biomarkers in prostate cancer.

Authors:  Jonathan L Wright; Paul H Lange
Journal:  Rev Urol       Date:  2007

8.  Clinical utility of prostate carcinoma molecular diagnostic tests.

Authors:  Scott B Shappell
Journal:  Rev Urol       Date:  2008

9.  A duplex quantitative polymerase chain reaction assay based on quantification of alpha-methylacyl-CoA racemase transcripts and prostate cancer antigen 3 in urine sediments improved diagnostic accuracy for prostate cancer.

Authors:  Bin Ouyang; Bruce Bracken; Barbara Burke; Ethan Chung; Juan Liang; Shuk-Mei Ho
Journal:  J Urol       Date:  2009-04-16       Impact factor: 7.450

Review 10.  New and novel markers for prostate cancer detection.

Authors:  Michael C Risk; Daniel W Lin
Journal:  Curr Urol Rep       Date:  2009-05       Impact factor: 3.092

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