Literature DB >> 18436287

Combined prostate-specific antigen density and biopsy features to predict "clinically insignificant" prostate cancer.

Stacy Loeb1, Kimberly A Roehl, C Shad Thaxton, William J Catalona.   

Abstract

OBJECTIVES: Prior studies have reported that men with a PSA density (PSAD) less than 0.15, less than 3 positive biopsy cores, 50% or less of any core involved, and a Gleason score 6 or lower are likely to have "insignificant" prostate cancer (CaP) in their radical prostatectomy (RRP) specimen. In this study, we examined the ability of PSAD and biopsy features to predict pathologic outcomes in a contemporary RRP population.
METHODS: From 1999 to 2005, 274 men underwent RRP and had the required data for our analysis. As our database does not record the percentage or length of cancer in each biopsy core, we examined the relative importance of PSAD, the number of positive biopsy cores, and Gleason grade to predict "insignificant" cancer, defined as organ-confined with a tumor volume less than 0.5 mL and no Gleason pattern 4 or 5.
RESULTS: Overall, by these criteria, 24.5% of patients were considered to have potentially "insignificant" cancer preoperatively; whereas, only 2.6% had a so-called "insignificant" tumor in the RRP specimen. Without the percentage of biopsy core involvement, the preoperative model to predict "insignificant" cancer was associated with 57% sensitivity, 76% specificity, 6% positive predictive value, and 99% negative predictive value.
CONCLUSIONS: A model including Gleason grade, PSAD, and number of positive biopsy cores did not provide an accurate means of selecting patients for active monitoring in our patient cohort. However, it was helpful in identifying men with a high likelihood of "clinically significant" CaP. Knowledge of the percentage of biopsy core involvement with cancer may be a critical prognostic factor.

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Year:  2008        PMID: 18436287     DOI: 10.1016/j.urology.2007.11.009

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  5 in total

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2.  Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy.

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Review 3.  Clinical collection and protein properties of expressed prostatic secretions as a source for biomarkers of prostatic disease.

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Journal:  J Proteomics       Date:  2009-01-20       Impact factor: 4.044

4.  Predictive criteria of insignificant prostate cancer: what is the correspondence of linear extent to percentage of cancer in a single core?

Authors:  Athanase Billis; Maisa M Q Quintal; Leandro L L Freitas; Larissa B E Costa; Ubirajara Ferreira
Journal:  Int Braz J Urol       Date:  2015 Mar-Apr       Impact factor: 1.541

5.  A predictive model for prostate cancer incorporating PSA molecular forms and age.

Authors:  Julia Oto; Álvaro Fernández-Pardo; Montserrat Royo; David Hervás; Laura Martos; César D Vera-Donoso; Manuel Martínez; Mary J Heeb; Francisco España; Pilar Medina; Silvia Navarro
Journal:  Sci Rep       Date:  2020-02-12       Impact factor: 4.379

  5 in total

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