A four-kallikrein panel for the prediction of repeat prostate biopsy: data from the European Randomized Study of Prostate Cancer Screening in Rotterdam, Netherlands
(2010) In British Journal of Cancer 103(5). p.708-714- Abstract
- BACKGROUND: Most men with elevated levels of prostate-specific antigen (PSA) do not have prostate cancer, leading to a large number of unnecessary biopsies. A statistical model based on a panel of four kallikreins has been shown to predict the outcome of a first prostate biopsy. In this study, we apply the model to an independent data set of men with previous negative biopsy but persistently elevated PSA. METHODS: The study cohort consisted of 925 men with a previous negative prostate biopsy and elevated PSA (>= 3 ngml(-1)), with 110 prostate cancers detected (12%). A previously published statistical model was applied, with recalibration to reflect the lower positive biopsy rates on rebiopsy. RESULTS: The full-kallikrein panel had... (More)
- BACKGROUND: Most men with elevated levels of prostate-specific antigen (PSA) do not have prostate cancer, leading to a large number of unnecessary biopsies. A statistical model based on a panel of four kallikreins has been shown to predict the outcome of a first prostate biopsy. In this study, we apply the model to an independent data set of men with previous negative biopsy but persistently elevated PSA. METHODS: The study cohort consisted of 925 men with a previous negative prostate biopsy and elevated PSA (>= 3 ngml(-1)), with 110 prostate cancers detected (12%). A previously published statistical model was applied, with recalibration to reflect the lower positive biopsy rates on rebiopsy. RESULTS: The full-kallikrein panel had higher discriminative accuracy than PSA and DRE alone, with area under the curve (AUC) improving from 0.58 (95% confidence interval (CI): 0.52, 0.64) to 0.68 (95% CI: 0.62, 0.74), P<0.001, and high-grade cancer (Gleason >= 7) at biopsy with AUC improving from 0.76 (95% CI: 0.64, 0.89) to 0.87 (95% CI: 0.81, 0.94), P 0.003). Application of the panel to 1000 men with persistently elevated PSA after initial negative biopsy, at a 15% risk threshold would reduce the number of biopsies by 712; would miss (or delay) the diagnosis of 53 cancers, of which only 3 would be Gleason 7 and the rest Gleason 6 or less. CONCLUSIONS: Our data constitute an external validation of a previously published model. The four-kallikrein panel predicts the result of repeat prostate biopsy in men with elevated PSA while dramatically decreasing unnecessary biopsies. British Journal of Cancer (2010) 103, 708-714. doi:10.1038/sj.bjc.6605815 www.bjcancer.com Published online 27 July 2010 (C) 2010 Cancer Research UK (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1673384
- author
- Gupta, A.
; Roobol, M. J.
; Savage, C. J.
; Peltola, M.
; Pettersson, K.
; Scardino, P. T.
; Vickers, A. J.
; Schroder, F. H.
and Lilja, Hans
LU
- organization
- publishing date
- 2010
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- cancer screening, prostate-specific antigen, predictive value of tests, prostate cancer, biomarkers
- in
- British Journal of Cancer
- volume
- 103
- issue
- 5
- pages
- 708 - 714
- publisher
- Nature Publishing Group
- external identifiers
-
- wos:000281287700016
- scopus:77955981143
- ISSN
- 1532-1827
- DOI
- 10.1038/sj.bjc.6605815
- language
- English
- LU publication?
- yes
- id
- 19322a95-6cc2-423f-b435-deffe6eaf483 (old id 1673384)
- date added to LUP
- 2016-04-01 10:14:35
- date last changed
- 2022-01-25 21:16:40
@article{19322a95-6cc2-423f-b435-deffe6eaf483, abstract = {{BACKGROUND: Most men with elevated levels of prostate-specific antigen (PSA) do not have prostate cancer, leading to a large number of unnecessary biopsies. A statistical model based on a panel of four kallikreins has been shown to predict the outcome of a first prostate biopsy. In this study, we apply the model to an independent data set of men with previous negative biopsy but persistently elevated PSA. METHODS: The study cohort consisted of 925 men with a previous negative prostate biopsy and elevated PSA (>= 3 ngml(-1)), with 110 prostate cancers detected (12%). A previously published statistical model was applied, with recalibration to reflect the lower positive biopsy rates on rebiopsy. RESULTS: The full-kallikrein panel had higher discriminative accuracy than PSA and DRE alone, with area under the curve (AUC) improving from 0.58 (95% confidence interval (CI): 0.52, 0.64) to 0.68 (95% CI: 0.62, 0.74), P<0.001, and high-grade cancer (Gleason >= 7) at biopsy with AUC improving from 0.76 (95% CI: 0.64, 0.89) to 0.87 (95% CI: 0.81, 0.94), P 0.003). Application of the panel to 1000 men with persistently elevated PSA after initial negative biopsy, at a 15% risk threshold would reduce the number of biopsies by 712; would miss (or delay) the diagnosis of 53 cancers, of which only 3 would be Gleason 7 and the rest Gleason 6 or less. CONCLUSIONS: Our data constitute an external validation of a previously published model. The four-kallikrein panel predicts the result of repeat prostate biopsy in men with elevated PSA while dramatically decreasing unnecessary biopsies. British Journal of Cancer (2010) 103, 708-714. doi:10.1038/sj.bjc.6605815 www.bjcancer.com Published online 27 July 2010 (C) 2010 Cancer Research UK}}, author = {{Gupta, A. and Roobol, M. J. and Savage, C. J. and Peltola, M. and Pettersson, K. and Scardino, P. T. and Vickers, A. J. and Schroder, F. H. and Lilja, Hans}}, issn = {{1532-1827}}, keywords = {{cancer screening; prostate-specific antigen; predictive value of tests; prostate cancer; biomarkers}}, language = {{eng}}, number = {{5}}, pages = {{708--714}}, publisher = {{Nature Publishing Group}}, series = {{British Journal of Cancer}}, title = {{A four-kallikrein panel for the prediction of repeat prostate biopsy: data from the European Randomized Study of Prostate Cancer Screening in Rotterdam, Netherlands}}, url = {{http://dx.doi.org/10.1038/sj.bjc.6605815}}, doi = {{10.1038/sj.bjc.6605815}}, volume = {{103}}, year = {{2010}}, }