Literature DB >> 18061575

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

Lori J Sokoll1, 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.   

Abstract

BACKGROUND: Measurement of prostate cancer gene 3 (PCA3) mRNA normalized to prostate-specific antigen (PSA) mRNA in urine has been proposed as a marker for prostate cancer.
METHODS: We investigated pre-analytical effects, analytical performance, and diagnostic accuracy of a quantitative assay for PCA3.
RESULTS: Urine specimens collected without prostate manipulation demonstrated low informative rates. However, specimens collected following digital rectal examinations of 3 or 8 strokes per prostate lobe demonstrated informative rates >94%. Across all urine specimen types, median PCA3 results did not show statistically significant differences (P>0.8). Measurements of controls of known mRNA content demonstrated percent recoveries of 100+/-15% for both PCA3 and PSA mRNAs. PCA3 mRNA total, intra-assay, inter-assay, and inter-site CVs were < or =17.1%, < or =14.0%, < or =9.9%, and < or =3.2%, respectively. Corresponding CVs for PSA mRNA assay were < or =11.5%, < or =8.6%, < or =7.9%, and < or =8.3%. Blinded assay of urines from 72 men with known prostate biopsy outcomes yielded areas under the curve from receiver-operating characteristic analysis of 0.7 at both research sites. Deming regression of individual PCA3 results between sites yielded slope=0.94, intercept=0.48, R=0.9677 (P<0.0001).
CONCLUSIONS: The PCA3 assay is insensitive to pre-analytical factors, performs well analytically and correctly classifies a high percent of subjects with known prostate cancer status across research sites.

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Year:  2007        PMID: 18061575     DOI: 10.1016/j.cca.2007.11.003

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  26 in total

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Journal:  Nat Rev Urol       Date:  2011-04-26       Impact factor: 14.432

Review 2.  Clinical and Novel Biomarkers in the Management of Prostate Cancer.

Authors:  Cristóbal Sanhueza; Manish Kohli
Journal:  Curr Treat Options Oncol       Date:  2018-02-08

Review 3.  Molecular diagnostic trends in urological cancer: biomarkers for non-invasive diagnosis.

Authors:  V Urquidi; C J Rosser; S Goodison
Journal:  Curr Med Chem       Date:  2012       Impact factor: 4.530

Review 4.  Emerging critical role of molecular testing in diagnostic genitourinary pathology.

Authors:  George J Netto; Liang Cheng
Journal:  Arch Pathol Lab Med       Date:  2012-04       Impact factor: 5.534

Review 5.  Risk stratification of prostate cancer in the modern era.

Authors:  Andrew S Behesnilian; Robert E Reiter
Journal:  Curr Opin Urol       Date:  2015-05       Impact factor: 2.309

Review 6.  Long Noncoding RNAs as Innovative Urinary Diagnostic Biomarkers.

Authors:  Giulia Brisotto; Roberto Guerrieri; Francesca Colizzi; Agostino Steffan; Barbara Montico; Elisabetta Fratta
Journal:  Methods Mol Biol       Date:  2021

7.  Regulators of gene expression as biomarkers for prostate cancer.

Authors:  Stacey S Willard; Shahriar Koochekpour
Journal:  Am J Cancer Res       Date:  2012-11-20       Impact factor: 6.166

8.  Prostate cancer markers: An update.

Authors:  Srinivas Pentyala; Terry Whyard; Sahana Pentyala; John Muller; John Pfail; Sunjit Parmar; Carlos G Helguero; Sardar Khan
Journal:  Biomed Rep       Date:  2016-01-29

Review 9.  The use of PCA3 in the diagnosis of prostate cancer.

Authors:  Daphne Hessels; Jack A Schalken
Journal:  Nat Rev Urol       Date:  2009-05       Impact factor: 14.432

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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