Literature DB >> 23213079

Comparative assessment of urinary prostate cancer antigen 3 and TMPRSS2:ERG gene fusion with the serum [-2]proprostate-specific antigen-based prostate health index for detection of prostate cancer.

Carsten Stephan1, Klaus Jung, Axel Semjonow, Kai Schulze-Forster, Henning Cammann, Xinhai Hu, Hellmuth-A Meyer, Martin Bögemann, Kurt Miller, Frank Friedersdorff.   

Abstract

BACKGROUND: We compared urinary prostate cancer antigen 3 (PCA3), transmembrane protease, serine 2 (TMPRSS2):v-ets erythroblastosis virus E26 oncogene homolog (avian) (ERG) gene fusion (T2:ERG), and the serum [-2]proprostate-specific antigen ([-2]proPSA)-based prostate health index (Phi) for predicting biopsy outcome.
METHODS: Serum samples and first-catch urine samples were collected after digital rectal examination (DRE) from consented outpatients with PSA 0.5-20 μg/L who were scheduled for prostate biopsy. The PCA3 score (PROGENSA PCA3, Hologic Gen-Probe) and T2:ERG score (Hologic Gen-Probe) were determined. Measurements of serum PSA, free PSA, and [-2]proPSA (Beckman Coulter) were performed, and the percentages of free PSA (%fPSA) and Phi ([-2]proPSA/fPSA × √PSA) were determined.
RESULTS: Of 246 enrolled men, prostate cancer (PCa) was diagnosed in 110 (45%) and there was no evidence of malignancy (NEM) in 136 (55%). A first set of biopsies was performed in 136 (55%) of all men, and 110 (45%) had ≥1 repeat biopsies. PCA3, Phi, and T2:ERG differed significantly between men with PCa and NEM, and these markers showed the largest areas under the ROC curve (AUCs) (0.74, 0.68, and 0.63, respectively). PCA3 had the largest AUC of all parameters, albeit not statistically different from Phi. Phi showed somewhat lower specificities than PCA3 at 90% sensitivity. Combination of both markers enhanced diagnostic power with modest AUC gains of 0.01-0.04. Although PCA3 had the highest AUC in the repeat-biopsy cohort, the highest AUC for Phi was observed in DRE-negative patients with PSA in the 2-10 μg/L range.
CONCLUSIONS: PCA3 and Phi were superior to the other evaluated parameters but their combination gave only moderate enhancements in diagnostic accuracy for PCa at first or repeat prostate biopsy.
© 2012 American Association for Clinical Chemistry

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Year:  2012        PMID: 23213079     DOI: 10.1373/clinchem.2012.195560

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  40 in total

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Review 3.  Artificial neural networks and prostate cancer--tools for diagnosis and management.

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Journal:  Nat Rev Urol       Date:  2013-02-12       Impact factor: 14.432

Review 4.  Function of PCA3 in prostate tissue and clinical research progress on developing a PCA3 score.

Authors:  Yue Wang; Xiao-Jun Liu; Xu-Dong Yao
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Review 6.  Next-generation prostate-specific antigen test: precursor form of prostate-specific antigen.

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Review 7.  RNA biomarkers to facilitate the identification of aggressive prostate cancer.

Authors:  Kathryn L Pellegrini; Martin G Sanda; Carlos S Moreno
Journal:  Mol Aspects Med       Date:  2015-05-27

8.  Assessment of long-term outcomes associated with urinary prostate cancer antigen 3 and TMPRSS2:ERG gene fusion at repeat biopsy.

Authors:  Selin Merdan; Scott A Tomlins; Christine L Barnett; Todd M Morgan; James E Montie; John T Wei; Brian T Denton
Journal:  Cancer       Date:  2015-08-17       Impact factor: 6.860

Review 9.  PCA3 in the detection and management of early prostate cancer.

Authors:  Xavier Filella; Laura Foj; Montserrat Milà; Josep M Augé; Rafael Molina; Wladimiro Jiménez
Journal:  Tumour Biol       Date:  2013-03-16

Review 10.  Evaluation of the TMPRSS2:ERG fusion for the detection of prostate cancer: a systematic review and meta-analysis.

Authors:  Yanhong Yao; Haitao Wang; BaoGuo Li; Yong Tang
Journal:  Tumour Biol       Date:  2013-10-20
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