Free PSA isoforms and intact and cleaved forms of urokinase plasminogen activator receptor in serum improve selection of patients for prostate cancer biopsy
(2007) In International Journal of Cancer 120(7). p.1499-1504- Abstract
- Clinicians currently use simple cut-points, such as serum prostate-specific antigen (PSA) >= 4 ng/ml, to decide whether to recommend further work-up for prostate cancer (PCa). As an alternative strategy, we evaluated multivariable models giving probabilities of a PCa diagnosis based on PSA and several circulating novel biomarkers. We measured total PSA, free PSA (fPSA), fPSA subfractions (single-chain fPSA-I and multichain fPSA-N), total human glandular kallikrein 2 (hK2) and full-length and cleaved forms of soluble urokinase plasminogen activator receptor (suPAR) in pretreatment serum from 355 men referred for prostate biopsy. Age and total PSA were combined in a "base" regression model to predict biopsy outcome. We then compared this... (More)
- Clinicians currently use simple cut-points, such as serum prostate-specific antigen (PSA) >= 4 ng/ml, to decide whether to recommend further work-up for prostate cancer (PCa). As an alternative strategy, we evaluated multivariable models giving probabilities of a PCa diagnosis based on PSA and several circulating novel biomarkers. We measured total PSA, free PSA (fPSA), fPSA subfractions (single-chain fPSA-I and multichain fPSA-N), total human glandular kallikrein 2 (hK2) and full-length and cleaved forms of soluble urokinase plasminogen activator receptor (suPAR) in pretreatment serum from 355 men referred for prostate biopsy. Age and total PSA were combined in a "base" regression model to predict biopsy outcome. We then compared this base model to models supplemented by various combinations of circulating markers, using concordance index (AUC) to measure diagnostic discrimination. PCa prediction was significantly enhanced by models supplemented by measurements of suPAR fragments and fPSA isoforms. Addition of these markers improved bootstrap-corrected AUC from 0.611 for a cut-point and 0.706 for the base model to 0.754 for the full model (p = 0.005). This improved diagnostic accuracy was also seen in subanalysis of patients with PSA 2-9.99 ng/ml and normal findings on DRE (0.652 vs. 0.715, p = 0.039). In this setting, hK2 did not add diagnostic information. Measurements of individual forms of suPAR and PSA isoforms contributed significantly to discrimination of men with PCa from those with no evidence of malignancy. (c) 2007 Wiley-Liss, Inc. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/672681
- author
- Steuber, Thomas ; Vickers, Andrew ; Haese, Alexander ; Kattan, Michael W. ; Eastham, James A. ; Scardino, Peter T. ; Huland, Hartwig and Lilja, Hans LU
- organization
- publishing date
- 2007
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- human glandular, kallikrein 2, circulating biomarkers, multivariable models, nicked PSA, prostate cancer diagnosis, prostate-specific antigen
- in
- International Journal of Cancer
- volume
- 120
- issue
- 7
- pages
- 1499 - 1504
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- wos:000244610700016
- scopus:33847617415
- pmid:17205511
- ISSN
- 0020-7136
- DOI
- 10.1002/ijc.22427
- language
- English
- LU publication?
- yes
- id
- 7e30f2eb-69dc-4a88-89a7-d8beb51b20a7 (old id 672681)
- date added to LUP
- 2016-04-01 11:48:54
- date last changed
- 2022-04-06 11:28:53
@article{7e30f2eb-69dc-4a88-89a7-d8beb51b20a7, abstract = {{Clinicians currently use simple cut-points, such as serum prostate-specific antigen (PSA) >= 4 ng/ml, to decide whether to recommend further work-up for prostate cancer (PCa). As an alternative strategy, we evaluated multivariable models giving probabilities of a PCa diagnosis based on PSA and several circulating novel biomarkers. We measured total PSA, free PSA (fPSA), fPSA subfractions (single-chain fPSA-I and multichain fPSA-N), total human glandular kallikrein 2 (hK2) and full-length and cleaved forms of soluble urokinase plasminogen activator receptor (suPAR) in pretreatment serum from 355 men referred for prostate biopsy. Age and total PSA were combined in a "base" regression model to predict biopsy outcome. We then compared this base model to models supplemented by various combinations of circulating markers, using concordance index (AUC) to measure diagnostic discrimination. PCa prediction was significantly enhanced by models supplemented by measurements of suPAR fragments and fPSA isoforms. Addition of these markers improved bootstrap-corrected AUC from 0.611 for a cut-point and 0.706 for the base model to 0.754 for the full model (p = 0.005). This improved diagnostic accuracy was also seen in subanalysis of patients with PSA 2-9.99 ng/ml and normal findings on DRE (0.652 vs. 0.715, p = 0.039). In this setting, hK2 did not add diagnostic information. Measurements of individual forms of suPAR and PSA isoforms contributed significantly to discrimination of men with PCa from those with no evidence of malignancy. (c) 2007 Wiley-Liss, Inc.}}, author = {{Steuber, Thomas and Vickers, Andrew and Haese, Alexander and Kattan, Michael W. and Eastham, James A. and Scardino, Peter T. and Huland, Hartwig and Lilja, Hans}}, issn = {{0020-7136}}, keywords = {{human glandular; kallikrein 2; circulating biomarkers; multivariable models; nicked PSA; prostate cancer diagnosis; prostate-specific antigen}}, language = {{eng}}, number = {{7}}, pages = {{1499--1504}}, publisher = {{John Wiley & Sons Inc.}}, series = {{International Journal of Cancer}}, title = {{Free PSA isoforms and intact and cleaved forms of urokinase plasminogen activator receptor in serum improve selection of patients for prostate cancer biopsy}}, url = {{http://dx.doi.org/10.1002/ijc.22427}}, doi = {{10.1002/ijc.22427}}, volume = {{120}}, year = {{2007}}, }