Literature DB >> 21788966

Quadriplex model enhances urine-based detection of prostate cancer.

T Jamaspishvili1, M Kral, I Khomeriki, V Vyhnankova, G Mgebrishvili, V Student, Z Kolar, J Bouchal.   

Abstract

BACKGROUND: The major advantages of urine-based assays are their non-invasive character and ability to monitor prostate cancer (CaP) with heterogeneous foci. While the test for the prostate cancer antigen 3 (PCA3) is commercially available, the aim of our research was to test other putative urine markers in multiplex settings (AMACR (α-methylacyl-CoA racemase), EZH2 (enhancer of zeste homolog 2), GOLM1 (golgi membrane protein 1), MSMB (microseminoprotein, β), SPINK1 (serine peptidase inhibitor) and TRPM8 (transient receptor potential cation channel, subfamily M, member 8)).
METHODS: Expression of the candidate biomarkers was studied in sedimented urine using quantitative reverse transcriptase polymerase chain reaction in two sets of patients with and without restriction on serum PSA levels.
RESULTS: We confirmed that PCA3 is an independent predictor of cancer in the patients without restriction of serum PSA values (set 1, n=176, PSA=0.1-587 ng ml(-1)). However, AMACR was the only parameter that differentiated CaP from non-CaP patients with serum PSA between 3 and 15 ng ml(-1) (set 2, n=104). The area under curve (AUC) for this gene was 0.645 with both sensitivity and specificity at 65%. Further improvement was achieved by multivariate logistic regression analysis, which identified novel duplex (TRPM8 and MSMB), triplex (plus AMACR) and quadriplex (plus PCA3) models for the detection of early CaPs (AUC=0.665, 0.726 and 0.741, respectively).
CONCLUSIONS: Novel quadriplex test could be implemented as an adjunct to serum PSA or urine PCA3 and this could improve decision making for diagnostics in the case of 'PSA dilemma' patients.

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Year:  2011        PMID: 21788966     DOI: 10.1038/pcan.2011.32

Source DB:  PubMed          Journal:  Prostate Cancer Prostatic Dis        ISSN: 1365-7852            Impact factor:   5.554


  5 in total

Review 1.  Toward the detection of prostate cancer in urine: a critical analysis.

Authors:  Matthew Truong; Bing Yang; David F Jarrard
Journal:  J Urol       Date:  2012-09-24       Impact factor: 7.600

2.  Using gene expression from urine sediment to diagnose prostate cancer: development of a new multiplex mRNA urine test and validation of current biomarkers.

Authors:  Lourdes Mengual; Juan José Lozano; Mercedes Ingelmo-Torres; Laura Izquierdo; Mireia Musquera; María José Ribal; Antonio Alcaraz
Journal:  BMC Cancer       Date:  2016-02-09       Impact factor: 4.430

Review 3.  Approaches to urinary detection of prostate cancer.

Authors:  Jillian N Eskra; Daniel Rabizadeh; Christian P Pavlovich; William J Catalona; Jun Luo
Journal:  Prostate Cancer Prostatic Dis       Date:  2019-01-17       Impact factor: 5.554

4.  Linkage analysis of extended high-risk pedigrees replicates a cutaneous malignant melanoma predisposition locus on chromosome 9q21.

Authors:  Lisa A Cannon-Albright; Craig C Teerlink; James M Farnham; Alun W Thomas; John J Zone; Sancy A Leachman
Journal:  J Invest Dermatol       Date:  2012-09-06       Impact factor: 8.551

5.  Prostate Cancer Diagnosis Using Urine Sediment Analysis-Based α-Methylacyl-CoA Racemase Score: A Single-Center Experience.

Authors:  Jin Ji; Xi Chen; Yalong Xu; Zhi Cao; Huan Xu; Chen Kong; Fubo Wang; Yinghao Sun
Journal:  Cancer Control       Date:  2019 Jan-Dec       Impact factor: 3.302

  5 in total

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