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Prostate Cancer

Precision Medicine in Active Surveillance for Prostate Cancer: Development of the Canary–Early Detection Research Network Active Surveillance Biopsy Risk Calculator

By: Donna P. Ankerst a b , Jing Xia c , Ian M. Thompson Jr. a , Josef Hoefler d , Lisa F. Newcomb d , James D. Brooks e , Peter R. Carroll f , William J. Ellis d , Martin E. Gleave g , Raymond S. Lance h , Peter S. Nelson i , Andrew A. Wagner j , John T. Wei k , Ruth Etzioni c and Daniel W. Lin d

European Urology, Volume 68 Issue 6, December 2015, Pages 1083-1088

Published online: 01 December 2015

Keywords: Active surveillance, Biopsy, Progression, Prostate-specific antigen

Abstract Full Text Full Text PDF (219 KB) Patient Summary

Abstract

Background

Men on active surveillance (AS) face repeated biopsies. Most biopsy specimens will not show disease progression or change management. Such biopsies do not contribute to patient management and are potentially morbid and costly.

Objective

To use a contemporary AS prospective trial to develop a tool to predict AS biopsy outcomes.

Design, setting, and participants

Biopsy samples (median: 2; range: 2–9 per patient) from 859 men participating in the Canary Prostate Active Surveillance Study and with Gleason 6 prostate cancer (median follow-up: 35.8 mo; range: 3.0–148.7 mo) were analyzed.

Outcome measurements and statistical analysis

Logistic regression was used to predict progression, defined as an increase in Gleason score from ≤6 to ≥7 or increase in percentage of cores positive for cancer from <34% to ≥34%. Fivefold internal cross-validation was performed to evaluate the area under the receiver operating characteristic curve (AUC).

Results and limitations

Statistically significant risk factors for progression on biopsy were prostate-specific antigen (odds ratio [OR]: 1.045; 95% confidence interval [CI], 1.028–1.063), percentage of cores positive for cancer on most recent biopsy (OR: 1.401; 95% CI, 1.301–1.508), and history of at least one prior negative biopsy (OR: 0.524; 95% CI, 0.417–0.659). A multivariable predictive model incorporating these factors plus age and number of months since last biopsy achieved an AUC of 72.4%.

Conclusions

A combination of readily available clinical measures can stratify patients considering AS prostate biopsy. Risk of progression or upgrade can be estimated and incorporated into clinical practice.

Patient summary

The Canary–Early Detection Research Network Active Surveillance Biopsy Risk Calculator, an online tool, can be used to guide patient decision making regarding follow-up prostate biopsy.

Take Home Message

Urologists can now use the active surveillance biopsy risk calculator to individualize patients’ surveillance biopsy schedules. This approach may be attractive to many patients and may increase their participation in joint decision making during follow-up.

Keywords: Active surveillance, Biopsy, Progression, Prostate-specific antigen.

Footnotes

a Department of Urology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA

b Life Sciences Mathematics Unit, Technische Universitaet Muenchen, Munich, Germany

c Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA

d Department of Urology, University of Washington, Seattle, WA, USA

e Department of Urology, Stanford University School of Medicine, Stanford, CA, USA

f Department of Urology, Helen Diller Family Comprehensive Cancer Center, University of California at San Francisco, San Francisco, CA, USA

g Department of Urologic Sciences, The Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, Canada

h Departments of Microbiology and Molecular Cell Biology and Urology, Eastern Virginia Medical School, Norfolk, VA, USA

i Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA

j Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA

k Department of Urology, University of Michigan, Ann Arbor, MI, USA

Corresponding author. Zentrum Mathematik, M12, Technische Universitaet Muenchen, Boltzmannstr 3, 85747 Garching, Germany. Tel. +49 89 289 18388; Fax: +49 89 289 18435.

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