Literature DB >> 24055241

Predicting risk of prostate cancer in men receiving finasteride: effect of prostate volume, number of biopsy cores, and American Urological Association symptom score.

Donna P Ankerst1, Cathee Till, Andreas Boeck, Phyllis J Goodman, Catherine M Tangen, Ian M Thompson.   

Abstract

OBJECTIVE: To examine the effect of prostate volume, number of biopsy cores, and American Urological Association symptom score (AUASS) for prostate cancer risk assessment among men receiving finasteride in the Prostate Cancer Prevention Trial.
METHODS: Data from 4509 men on the finasteride arm of the Prostate Cancer Prevention Trial who were on treatment at the time of their AUASS and prostate-specific antigen (PSA) measurement before biopsy were included in multivariable logistic regression analyses.
RESULTS: Six hundred eighty-two (15.1%) participants had prostate cancer; 257 (37.7%) of these had high-grade disease. For prostate cancer risk, the model included PSA (odds ratio corresponding to a 2-fold increase in PSA: 2.70; P <.0001), digital rectal examination (2.53; P <.0001), age (1.03; P = .001), and prostate volume (odds ratio 0.54 for a 2-fold increase in volume; P <.0001). For high-grade disease, PSA (3.39; P <.0001), digital rectal examination (2.75; P <.0001), age (1.05; P = .001), and volume (0.55; P <.0001) were statistically significant. AUASS was not statistically significant in any of the models that included prostate volume, but was in models in which volume was not included. The number of biopsy cores did not significantly improve risk assessment in any of the models considered.
CONCLUSION: Although in the general population, obtaining a cancer diagnosis is improved by assessing prostate volume and increasing the number of biopsy cores, neither steps are required in men receiving finasteride. Obtaining fewer biopsy cores in men receiving finasteride preserves biopsy sensitivity and will likely reduce cost and morbidity.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 24055241      PMCID: PMC3874369          DOI: 10.1016/j.urology.2013.07.041

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


  9 in total

1.  Assessing prostate cancer risk: results from the Prostate Cancer Prevention Trial.

Authors:  Ian M Thompson; Donna Pauler Ankerst; Chen Chi; Phyllis J Goodman; Catherine M Tangen; M Scott Lucia; Ziding Feng; Howard L Parnes; Charles A Coltman
Journal:  J Natl Cancer Inst       Date:  2006-04-19       Impact factor: 13.506

2.  Complications following prostate needle biopsy requiring hospital admission or emergency department visits - experience from 1000 consecutive cases.

Authors:  G Igor Pinkhasov; Yu-Kuan Lin; Ricardo Palmerola; Paul Smith; Frank Mahon; Matthew G Kaag; J Edward Dagen; Lewis E Harpster; Carl T Reese; Jay D Raman
Journal:  BJU Int       Date:  2012-02-07       Impact factor: 5.588

3.  Screening for prostate cancer: U.S. Preventive Services Task Force recommendation statement.

Authors:  Virginia A Moyer
Journal:  Ann Intern Med       Date:  2012-07-17       Impact factor: 25.391

4.  The impact of prostate volume, number of biopsy cores and American Urological Association symptom score on the sensitivity of cancer detection using the Prostate Cancer Prevention Trial risk calculator.

Authors:  Donna P Ankerst; Cathee Till; Andreas Boeck; Phyllis Goodman; Catherine M Tangen; Ziding Feng; Alan W Partin; Daniel W Chan; Lori Sokoll; Jacob Kagan; John T Wei; Ian M Thompson
Journal:  J Urol       Date:  2013-01-09       Impact factor: 7.450

5.  The influence of finasteride on the development of prostate cancer.

Authors:  Ian M Thompson; Phyllis J Goodman; Catherine M Tangen; M Scott Lucia; Gary J Miller; Leslie G Ford; Michael M Lieber; R Duane Cespedes; James N Atkins; Scott M Lippman; Susie M Carlin; Anne Ryan; Connie M Szczepanek; John J Crowley; Charles A Coltman
Journal:  N Engl J Med       Date:  2003-06-24       Impact factor: 91.245

6.  Prediction of prostate cancer for patients receiving finasteride: results from the Prostate Cancer Prevention Trial.

Authors:  Ian M Thompson; Donna Pauler Ankerst; Chen Chi; Phyllis J Goodman; Catherine M Tangen; Scott M Lippman; M Scott Lucia; Howard L Parnes; Charles A Coltman
Journal:  J Clin Oncol       Date:  2007-07-20       Impact factor: 44.544

7.  Prevalence of prostate cancer among men with a prostate-specific antigen level < or =4.0 ng per milliliter.

Authors:  Ian M Thompson; Donna K Pauler; Phyllis J Goodman; Catherine M Tangen; M Scott Lucia; Howard L Parnes; Lori M Minasian; Leslie G Ford; Scott M Lippman; E David Crawford; John J Crowley; Charles A Coltman
Journal:  N Engl J Med       Date:  2004-05-27       Impact factor: 91.245

8.  Finasteride and high-grade prostate cancer in the Prostate Cancer Prevention Trial.

Authors:  M Scott Lucia; Jonathan I Epstein; Phyllis J Goodman; Amy K Darke; Victor E Reuter; Francisco Civantos; Catherine M Tangen; Howard L Parnes; Scott M Lippman; Francisco G La Rosa; Michael W Kattan; E David Crawford; Leslie G Ford; Charles A Coltman; Ian M Thompson
Journal:  J Natl Cancer Inst       Date:  2007-09-11       Impact factor: 13.506

9.  The REDUCE metagram: a comprehensive prediction tool for determining the utility of dutasteride chemoprevention in men at risk for prostate cancer.

Authors:  Carvell T Nguyen; Brandon Isariyawongse; Changhong Yu; Michael W Kattan
Journal:  Front Oncol       Date:  2012-10-11       Impact factor: 6.244

  9 in total
  3 in total

1.  Ursolic acid activates the apoptosis of prostate cancer via ROCK/PTEN mediated mitochondrial translocation of cofilin-1.

Authors:  Dawei Mu; Gaobiao Zhou; Jianye Li; Bin Su; Heqing Guo
Journal:  Oncol Lett       Date:  2017-12-27       Impact factor: 2.967

2.  A Contemporary Prostate Biopsy Risk Calculator Based on Multiple Heterogeneous Cohorts.

Authors:  Donna P Ankerst; Johanna Straubinger; Katharina Selig; Lourdes Guerrios; Amanda De Hoedt; Javier Hernandez; Michael A Liss; Robin J Leach; Stephen J Freedland; Michael W Kattan; Robert Nam; Alexander Haese; Francesco Montorsi; Stephen A Boorjian; Matthew R Cooperberg; Cedric Poyet; Emily Vertosick; Andrew J Vickers
Journal:  Eur Urol       Date:  2018-05-16       Impact factor: 20.096

3.  3-Tesla magnetic resonance imaging improves the prostate cancer detection rate in transrectral ultrasound-guided biopsy.

Authors:  Jie Chen; Xiao-Lei Yi; Li-Xin Jiang; Ren Wang; Jun-Gong Zhao; Yue-Hua Li; Bing Hu
Journal:  Exp Ther Med       Date:  2014-11-11       Impact factor: 2.447

  3 in total

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