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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
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Models to predict positive prostate biopsies using the Tyrol screening study.

Prasanna Sooriakumaran1, Majnu John, Paul Christos

  • 1Department of Urology, Weill Cornell Medical College, New York, NY, USA.

Urology
|August 16, 2011
PubMed
Summary
This summary is machine-generated.

Two new models predict prostate cancer on biopsy in screened populations. Including free prostate-specific antigen (PSA) improves prediction accuracy for better clinical decisions.

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Area of Science:

  • Urology
  • Oncology
  • Biostatistics

Background:

  • Predictive models for prostate cancer in screened populations are lacking.
  • Prostate cancer screening involves complex decision-making regarding biopsies.

Purpose of the Study:

  • To develop and validate predictive models for prostate cancer detection on initial biopsy in a large screening cohort.
  • To assess the utility of age, digital rectal examination (DRE), total prostate-specific antigen (PSA), and percentage of free PSA in predicting biopsy outcomes.

Main Methods:

  • Multivariate logistic regression was used to create two nomograms using data from the Tyrol screening study (n=2271).
  • Model 1 included age, DRE, and total PSA; Model 2 added percentage of free PSA.
  • External validation was performed on a separate urologically referred cohort (n=599).

Main Results:

  • Both developed nomograms demonstrated good internal and external calibration and discrimination.
  • Model 2, incorporating percentage of free PSA, showed superior predictive accuracy compared to Model 1.
  • The models effectively differentiated between patients with and without prostate cancer on biopsy.

Conclusions:

  • Nomograms incorporating age, total PSA, and DRE are effective for predicting prostate cancer on initial biopsy in screened individuals.
  • The addition of percentage of free PSA significantly enhances predictive power.
  • These validated models can assist clinicians in making informed decisions about prostate biopsy necessity.