Urine TMPRSS2:ERG Plus PCA3 for Individualized Prostate Cancer Risk Assessment

被引:284
|
作者
Tomlins, Scott A. [1 ,2 ,3 ]
Day, John R. [4 ]
Lonigro, Robert J. [1 ,3 ]
Hovelson, Daniel H. [5 ]
Siddiqui, Javed [1 ]
Kunju, L. Priya [1 ]
Dunn, Rodney L. [2 ]
Meyer, Sarah [4 ]
Hodge, Petrea [4 ]
Groskopf, Jack [4 ]
Wei, John T. [2 ]
Chinnaiyan, Arul M. [1 ,2 ,3 ,5 ,6 ]
机构
[1] Univ Michigan, Sch Med, Dept Pathol, Michigan Ctr Translat Pathol, Ann Arbor, MI USA
[2] Univ Michigan, Sch Med, Dept Urol, Ann Arbor, MI USA
[3] Univ Michigan, Sch Med, Ctr Comprehens Canc, Ann Arbor, MI USA
[4] Hol Gen Probe Inc, San Diego, CA USA
[5] Univ Michigan, Sch Med, Dept Computat Med & Bioinformat, Ann Arbor, MI USA
[6] Univ Michigan, Sch Med, Howard Hughes Med Inst, Ann Arbor, MI 48109 USA
关键词
Prostate cancer; Urine biomarkers; Early detection; Gene fusions; PCA3; ANTIGEN; 3; ACTIVE SURVEILLANCE; EXPRESSION; PSA; REARRANGEMENT; BIOPSY; COHORT; AGE;
D O I
10.1016/j.eururo.2015.04.039
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background: TMPRSS2:ERG (T2:ERG) and prostate cancer antigen 3 (PCA3) are the most advanced urine-based prostate cancer (PCa) early detection biomarkers. Objective: Validate logistic regression models, termed Mi-Prostate Score (MiPS), that incorporate serum prostate-specific antigen (PSA; or the multivariate Prostate Cancer Prevention Trial risk calculator version 1.0 [PCPTrc]) and urine T2: ERG and PCA3 scores for predicting PCa and high-grade PCa on biopsy. Design, setting, and participants: T2: ERG and PCA3 scores were generated using clinical-grade transcription-mediated amplification assays. Pretrained MiPS models were applied to a validation cohort of whole urine samples prospectively collected after digital rectal examination from 1244 men presenting for biopsy. Outcome measurements and statistical analysis: Area under the curve (AUC) was used to compare the performance of serum PSA (or the PCPTrc) alone and MiPS models. Decision curve analysis (DCA) was used to assess clinical benefit. Results and limitations: Among informative validation cohort samples (n = 1225 [98%], 80% from patients presenting for initial biopsy), models incorporating T2: ERG had significantly greater AUC than PSA (or PCPTrc) for predicting PCa (PSA: 0.693 vs 0.585; PCPTrc: 0.718 vs 0.639; both p < 0.001) or high-grade (Gleason score >6) PCa on biopsy (PSA: 0.729 vs 0.651, p < 0.001; PCPTrc: 0.754 vs 0.707, p = 0.006). MiPS models incorporating T2: ERG score had significantly greater AUC (all p < 0.001) than models incorporating only PCA3 plus PSA (or PCPTrc or high-grade cancer PCPTrc [PCPThg]). DCA demonstrated net benefit of the MiPS_PCPTrc (or MiPS_PCPThg) model compared with the PCPTrc (or PCPThg) across relevant threshold probabilities. Conclusions: Incorporating urine T2: ERG and PCA3 scores improves the performance of serum PSA (or PCPTrc) for predicting PCa and high-grade PCa on biopsy. Patient summary: Incorporation of two prostate cancer (PCa)-specific biomarkers (TMPRSS2: ERG and PCA3) measured in the urine improved on serum prostate-specific antigen (or a multivariate risk calculator) for predicting the presence of PCa and high-grade PCa on biopsy. A combined test, Mi-Prostate Score, uses models validated in this study and is clinically available to provide individualized risk estimates. (C) 2015 European Association of Urology. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:45 / 53
页数:9
相关论文
共 50 条
  • [1] INDIVIDUALIZED PROSTATE CANCER RISK ASSESSMENT BY SERUM PSA, URINE TMPRSS2: ERG AND URINE PCA3
    Tomlins, Scott
    Wei, John
    Aubin, Sheila
    Meyer, Sarah
    Hodge, Petrea
    Aussie, Jacqueline
    Siddiqui, Javed
    Lonigro, Robert
    Day, John
    Groskopf, Jack
    Chinnaiyan, Arul
    JOURNAL OF UROLOGY, 2014, 191 (04): : E549 - E550
  • [2] Correlation of Urine TMPRSS2:ERG and PCA3 to ERG plus and Total Prostate Cancer Burden
    Young, Allison
    Palanisamy, Nallasivam
    Siddiqui, Javed
    Wood, David P.
    Wei, John T.
    Chinnaiyan, Arul M.
    Kunju, Lakshmi P.
    Tomlins, Scott A.
    AMERICAN JOURNAL OF CLINICAL PATHOLOGY, 2012, 138 (05) : 685 - 696
  • [3] PCA3 and TMPRSS2: ERG Urine Level as Diagnostic Biomarker of Prostate Cancer
    Warli, Syah Mirsya
    Warli, Muhammad Haritsyah
    Prapiska, Fauriski Febrian
    RESEARCH AND REPORTS IN UROLOGY, 2023, 15 : 149 - 155
  • [4] Correlation of Urine TMPRSS2: ERG and PCA3 to ERG+ and Total Prostate Cancer Burden
    Young, A. M.
    Palanisamy, N.
    Siddiqi, J.
    Wei, J. T.
    Wood, D.
    Chinnaiyan, A. M.
    Kunju, L. P.
    Tomlins, S. A.
    MODERN PATHOLOGY, 2012, 25 : 254A - 254A
  • [5] Correlation of Urine TMPRSS2: ERG and PCA3 to ERG+ and Total Prostate Cancer Burden
    Young, A. M.
    Palanisamy, N.
    Siddiqi, J.
    Wei, J. T.
    Wood, D.
    Chinnaiyan, A. M.
    Kunju, L. P.
    Tomlins, S. A.
    LABORATORY INVESTIGATION, 2012, 92 : 254A - 254A
  • [6] URINE ASSAYS FOR PCA3 AND TMPRSS2:ERG GENE FUSION TO PREDICT THE DIAGNOSIS OF PROSTATE CANCER
    Silberstein, Jonathan
    Aubin, Sheila M. J.
    Weber, Art
    Christensen, Kimberly
    Kashefi, Carol
    Fradet, Yves
    Sakamoto, Kyoko
    JOURNAL OF UROLOGY, 2009, 181 (04): : 813 - 813
  • [7] Molecular Diagnosis of Prostate Cancer: PCA3 and TMPRSS2:ERG Gene Fusion
    Salagierski, Maciej
    Schalken, Jack A.
    JOURNAL OF UROLOGY, 2012, 187 (03): : 795 - 801
  • [8] Urine PCA3 and TMPRSS2: ERG Using Cancer-specific Markers to Detect Cancer
    Tomlins, Scott A.
    EUROPEAN UROLOGY, 2014, 65 (03) : 543 - 545
  • [9] PCA3 AND TMPRSS2-ERG: MOLECULAR URINE TESTS IN PROSTATE CANCER
    Rittenhouse, H.
    TUMOR BIOLOGY, 2010, 31 : S27 - S28
  • [10] RATIONAL BASIS FOR THE COMBINATION OF PCA3 AND TMPRSS2: ERG GENE FUSION IN PROSTATE CANCER DIAGNOSIS
    Robert, Gregoire
    Jannink, Sander
    Aalders, Tilly
    Mulders, Peter
    Schalken, Jack
    JOURNAL OF UROLOGY, 2011, 185 (04): : E648 - E648