Prostate Cancer Gene 3 (PCA3): Development and Internal Validation of a Novel Biopsy Nomogram

被引:146
作者
Chun, Felix K. [1 ]
de la Taille, Alexandre [3 ]
van Poppel, Hendrik [4 ]
Marberger, Michael [5 ]
Stenzl, Arnulf [6 ]
Mulders, Peter F. A. [7 ]
Huland, Hartwig [2 ]
Abbou, Clement-Claude [3 ]
Stillebroer, Alexander B. [7 ]
van Gils, Martijn P. M. Q. [7 ]
Schalken, Jack A. [7 ]
Fradet, Yves [8 ]
Marks, Leonard S. [9 ]
Ellis, William [10 ]
Partin, Alan W. [11 ]
Haese, Alexander [2 ]
机构
[1] Univ Hosp Hamburg Eppendorf, Dept Urol, D-20246 Hamburg, Germany
[2] Univ Hosp Eppendorf, Prostate Canc Ctr, Martini Clin, Hamburg, Germany
[3] Hop Henri Mondor, F-94010 Creteil, France
[4] Univ Ziekenhuis Gasthuisberg, Louvain, Belgium
[5] Univ Vienna, Vienna, Austria
[6] Uniklinikum Tubingen, Tubingen, Germany
[7] Radboud Univ Nijmegen, Med Ctr, NL-6525 ED Nijmegen, Netherlands
[8] Univ Laval, Dept Urol, Quebec City, PQ, Canada
[9] Urol Sci Res Fdn, Culver City, CA USA
[10] Univ Washington, Med Ctr, Seattle, WA 98195 USA
[11] Johns Hopkins Univ, Dept Urol, Inst Med, Baltimore, MD USA
关键词
Prostate biopsy; Prostate cancer gene 3; Biomarker; Prostate cancer; Nomogram; Risk assessment; MOLECULAR URINE ASSAY; RADICAL PROSTATECTOMY; EXTERNAL VALIDATION; RISK; PERFORMANCE; DIAGNOSIS; ANTIGEN; MARKERS; MEN;
D O I
10.1016/j.eururo.2009.03.029
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: Urinary prostate cancer gene 3 (PCA3) represents a promising novel marker of prostate cancer detection. Objective: To test whether urinary PCA3 assay improves prostate cancer (PCa) risk assessment and to construct a decision-making aid in a multi-institutional cohort with pre-prostate biopsy data. Design, setting, and participants: PCA3 assay cut-off threshold analyses were followed by logistic regression models which used established predictors to assess PCa-risk at biopsy in a large multi-institutional data set of 809 men at risk of harboring PCa. Measurements: Regression coefficients were used to construct four sets of nomograms. Predictive accuracy (PA) estimates of biopsy outcome predictions were quantified using the area under the curve of the receiver operator characteristic analysis in models with and without PCA3. Bootstrap resamples were used for internal validation and to reduce overfit bias. The extent of overestimation or underestimation of the observed PCa rate at biopsy was explored graphically using nonparametric loss-calibration plots. Differences in PA were tested using the Mantel-Haenszel test. Finally, nomogram-derived probability cut-offs were tested to assess the ability to identify patients with or without PCa. Results and limitations: PCA3 was identified as a statistically independent risk factor of PCa at biopsy. Addition of a PCA3 assay improved bootstrap-corrected multivariate PA of the base model between 2% and 5%. The highest increment in PA resulted from a PCA3 assay cut-off threshold of 17, where a 5% gain in PA (from 0.68 to 0.73, p = 0.04) was recorded. Nomogram probability-derived risk cut-off analyses further corroborate the superiority of the PCA3 nomogram over the base model. Conclusions: PCA3 fulfills the criteria for a novel marker capable of increasing PA of multivariate biopsy models. This novel PCA3-based nomogram better identifies men at risk of harboring PCa and assists in deciding whether further evaluation is necessary. (C) 2009 European Association of Urology. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:659 / 667
页数:9
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