ProPSA and Diagnostic Biopsy Tissue DNA Content Combination Improves Accuracy to Predict Need for Prostate Cancer Treatment Among Men Enrolled in an Active Surveillance Program

被引:32
作者
Isharwal, Sumit
Makarov, Danil V.
Sokoll, Lori J.
Landis, Patricia
Marlow, Cameron
Epstein, Jonathan I.
Partin, Alan W.
Carter, H. Ballentine
Veltri, Robert W. [1 ]
机构
[1] Johns Hopkins Univ, Sch Med, James Buchanan Brady Urol Inst, Baltimore, MD 21287 USA
基金
美国国家卫生研究院;
关键词
EXPECTANT MANAGEMENT; RADICAL PROSTATECTOMY; PROGNOSTIC VALUE; FOLLOW-UP; ANTIGEN; EXPRESSION; ADJACENT; MORTALITY; SERUM; TRIAL;
D O I
10.1016/j.urology.2010.07.526
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
OBJECTIVES To assess a novel application of the Prostate Health Index (phi) and biopsy tissue DNA content in benign-adjacent and cancer areas to predict which patients would eventually require treatment of prostate cancer in the Proactive Surveillance cohort. METHODS We identified 71 men who had had serum and biopsy tissue from their diagnosis banked and available for the present study. Of the 71 patients, 39 had developed unfavorable biopsy findings and 32 had maintained favorable biopsy status during surveillance. The serum total prostate-specific antigen (tPSA), free PSA (fPSA) and [-2]proPSA were measured using the Beckman Coulter immunoassay. The DNA content measurements of Feulgen-stained biopsy sections were performed using the AutoCyte imaging system. RESULTS The ratio of phi was significantly greater (37.23 +/- 15.76 vs 30.60 +/- 12.28; P = .03) in men who ultimately had unfavorable biopsy findings. The serum phi ratio (P = .003), [-2]proPSA/% fPSA (P = .004), biopsy tissue DNA content (ie, benign-adjacent excess of optical density, P = .019; and cancer area standard deviation of optical density, P = .002) were significant predictors of unfavorable biopsy conversion on Cox regression analysis. However, phi and [-2]proPSA/%fPSA showed a highly significant correlation (rho = 0.927, P < .0001) and no difference in accuracy (c-index, 0.6247 vs 0.6158; P = .704) for unfavorable biopsy conversion prediction. Furthermore, phi and [-2]proPSA/%fPSA remained significant (P = .047 and P = .036, respectively) in the multivariate models and, combined with the biopsy tissue DNA content, showed improvement in the predictive accuracy (c-index, 0.6908 and 0.6884, respectively) for unfavorable biopsy conversion. CONCLUSIONS The Prostate Health Index to proPSA/%fPSA, combined with biopsy tissue DNA content, improved the accuracy to about 70% to predict unfavorable biopsy conversion at the annual surveillance biopsy examination among men enrolled in an Active Surveillance program. UROLOGY 77: 763.e1-763.e6, 2011. (C) 2011 Elsevier Inc.
引用
收藏
页码:763.e1 / 763.e6
页数:6
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