Literature DB >> 18353398

PCA3 molecular urine assay correlates with prostate cancer tumor volume: implication in selecting candidates for active surveillance.

Hiroyuki Nakanishi1, Jack Groskopf, Herbert A Fritsche, Viju Bhadkamkar, Amy Blase, S Vikas Kumar, John W Davis, Patricia Troncoso, Harry Rittenhouse, R Joseph Babaian.   

Abstract

PURPOSE: Prostate cancer gene 3 (PCA3) has shown promise as a molecular marker in prostate cancer detection. We assessed the association of urinary PCA3 score with prostatectomy tumor volume and other clinical and pathological features.
MATERIALS AND METHODS: Urine specimens were collected after digital rectal examination from 59 men scheduled for prostate biopsy and 83 men scheduled for radical prostatectomy. Prostatectomy findings were evaluable for 96 men. PCA3 and prostate specific antigen mRNAs were quantified with Gen-Probe DTS 400 System. The PCA3 score was defined as the ratio of PCA3 mRNA/prostate specific antigen mRNA x10(3).
RESULTS: The PCA3 score in men with negative biopsies (30) and positive biopsies (29) were significantly different (median 21.1 and 31.0, respectively, p = 0.029). The PCA3 score was significantly correlated with total tumor volume in prostatectomy specimens (r = 0.269, p = 0.008), and was also associated with prostatectomy Gleason score (6 vs 7 or greater, p = 0.005) but not with other clinical and pathological features. The PCA3 score was significantly different when comparing low volume/low grade cancer (dominant tumor volume less than 0.5 cc, Gleason score 6) and significant cancer (p = 0.007). On multivariate analysis PCA3 was the best predictor of total tumor volume in prostatectomy (p = 0.001). Receiver operating characteristic curve analysis showed that the PCA3 score could discriminate low volume cancer (total tumor volume less than 0.5 cc) well with area under the curve of 0.757.
CONCLUSIONS: The PCA3 score appears to stratify men based on prostatectomy tumor volume and Gleason score, and may have clinical applicability in selecting men who have low volume/low grade cancer.

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Year:  2008        PMID: 18353398     DOI: 10.1016/j.juro.2008.01.013

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


  75 in total

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4.  Effect of material property heterogeneity on biomechanical modeling of prostate under deformation.

Authors:  Navid Samavati; Deirdre M McGrath; Michael A S Jewett; Theo van der Kwast; Cynthia Ménard; Kristy K Brock
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6.  Assessment of long-term outcomes associated with urinary prostate cancer antigen 3 and TMPRSS2:ERG gene fusion at repeat biopsy.

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

8.  Novel diagnostic biomarkers for prostate cancer.

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9.  Radical prostatectomy findings in patients predicted to have low-volume/low-grade prostate cancer diagnosed by extended-core biopsies: an analysis of volume and zonal distribution of tumour foci.

Authors:  John W Davis; Jeri Kim; John F Ward; Xuemai Wang; Hiro Nakanishi; R Joseph Babaian; Patricia Troncoso
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Review 10.  Biomarkers in prostate cancer surveillance and screening: past, present, and future.

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Journal:  Ther Adv Urol       Date:  2013-12
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