Literature DB >> 19003994

Evaluation of molecular forms of prostate-specific antigen and human kallikrein 2 in predicting biochemical failure after radical prostatectomy.

Sven Wenske1, Ruslan Korets, Angel M Cronin, Andrew J Vickers, Martin Fleisher, Howard I Scher, Kim Pettersson, Bertrand Guillonneau, Peter T Scardino, James A Eastham, Hans Lilja.   

Abstract

Most pretreatment risk-assessment models to predict biochemical recurrence (BCR) after radical prostatectomy (RP) for prostate cancer rely on total prostate-specific antigen (PSA), clinical stage, and biopsy Gleason grade. We investigated whether free PSA (fPSA) and human glandular kallikrein-2 (hK2) would enhance the predictive accuracy of this standard model. Preoperative serum samples and complete clinical data were available for 1,356 patients who underwent RP for localized prostate cancer from 1993 to 2005. A case-control design was used, and conditional logistic regression models were used to evaluate the association between preoperative predictors and BCR after RP. We constructed multivariable models with fPSA and hK2 as additional preoperative predictors to the base model. Predictive accuracy was assessed with the area under the ROC curve (AUC). There were 146 BCR cases; the median follow up for patients without BCR was 3.2 years. Overall, 436 controls were matched to 146 BCR cases. The AUC of the base model was 0.786 in the entire cohort; adding fPSA and hK2 to this model enhanced the AUC to 0.798 (p=0.053), an effect largely driven by fPSA. In the subgroup of men with total PSA<or=10 ng/ml (48% of cases), adding fPSA and hK2 enhanced the AUC of the base model to a similar degree (from 0.720 to 0.726, p=0.2). fPSA is routinely measured during prostate cancer detection. We suggest that the role of fPSA in aiding preoperative prediction should be investigated in further cohorts. Copyright (c) 2008 Wiley-Liss, Inc.

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Year:  2009        PMID: 19003994      PMCID: PMC2776773          DOI: 10.1002/ijc.23983

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  25 in total

1.  TNM Classification of Malignant Tumors, fifth edition (1997). Union Internationale Contre le Cancer and the American Joint Committee on Cancer.

Authors:  L H Sobin; I D Fleming
Journal:  Cancer       Date:  1997-11-01       Impact factor: 6.860

2.  Sampling variability of nonparametric estimates of the areas under receiver operating characteristic curves: an update.

Authors:  J A Hanley; K O Hajian-Tilaki
Journal:  Acad Radiol       Date:  1997-01       Impact factor: 3.173

3.  A preoperative nomogram for disease recurrence following radical prostatectomy for prostate cancer.

Authors:  M W Kattan; J A Eastham; A M Stapleton; T M Wheeler; P T Scardino
Journal:  J Natl Cancer Inst       Date:  1998-05-20       Impact factor: 13.506

4.  Preoperative serum prostate specific antigen levels between 2 and 22 ng./ml. correlate poorly with post-radical prostatectomy cancer morphology: prostate specific antigen cure rates appear constant between 2 and 9 ng./ml.

Authors:  Thomas A Stamey; Iain M Johnstone; John E McNeal; Arthur Y Lu; Cheryl M Yemoto
Journal:  J Urol       Date:  2002-01       Impact factor: 7.450

5.  Combination of prostate-specific antigen, clinical stage, and Gleason score to predict pathological stage of localized prostate cancer. A multi-institutional update.

Authors:  A W Partin; M W Kattan; E N Subong; P C Walsh; K J Wojno; J E Oesterling; P T Scardino; J D Pearson
Journal:  JAMA       Date:  1997-05-14       Impact factor: 56.272

6.  In vitro stability of free prostate-specific antigen (PSA) and prostate-specific antigen (PSA) complexed to alpha 1-antichymotrypsin in blood samples.

Authors:  T Piironen; K Pettersson; M Suonpää; U H Stenman; J E Oesterling; T Lövgren; H Lilja
Journal:  Urology       Date:  1996-12       Impact factor: 2.649

7.  Dual-label one-step immunoassay for simultaneous measurement of free and total prostate-specific antigen concentrations and ratios in serum.

Authors:  K Mitrunen; K Pettersson; T Piironen; T Björk; H Lilja; T Lövgren
Journal:  Clin Chem       Date:  1995-08       Impact factor: 8.327

8.  Development of sensitive immunoassays for free and total human glandular kallikrein 2.

Authors:  Ville Väisänen; Susann Eriksson; Kaisa K Ivaska; Hans Lilja; Martti Nurmi; Kim Pettersson
Journal:  Clin Chem       Date:  2004-07-09       Impact factor: 8.327

9.  Zonal distribution of prostatic adenocarcinoma. Correlation with histologic pattern and direction of spread.

Authors:  J E McNeal; E A Redwine; F S Freiha; T A Stamey
Journal:  Am J Surg Pathol       Date:  1988-12       Impact factor: 6.394

Review 10.  Human Kallikrein 2 (hK2) and prostate-specific antigen (PSA): two closely related, but distinct, kallikreins in the prostate.

Authors:  H G Rittenhouse; J A Finlay; S D Mikolajczyk; A W Partin
Journal:  Crit Rev Clin Lab Sci       Date:  1998-08       Impact factor: 6.250

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  5 in total

Review 1.  Differentiation of lethal and non lethal prostate cancer: PSA and PSA isoforms and kinetics.

Authors:  H Ballentine Carter
Journal:  Asian J Androl       Date:  2012-02-20       Impact factor: 3.285

2.  Kallikrein markers performance in pretreatment blood to predict early prostate cancer recurrence and metastasis after radical prostatectomy among very high-risk men.

Authors:  Melissa J Assel; Hans David Ulmert; R Jeffery Karnes; Stephen A Boorjian; David W Hillman; Andrew J Vickers; George G Klee; Hans Lilja
Journal:  Prostate       Date:  2019-10-11       Impact factor: 4.104

3.  Overdiagnosis of prostate cancer.

Authors:  Gurdarshan S Sandhu; Gerald L Andriole
Journal:  J Natl Cancer Inst Monogr       Date:  2012-12

Review 4.  Early prostate-specific antigen changes and the diagnosis and prognosis of prostate cancer.

Authors:  George Botchorishvili; Mika P Matikainen; Hans Lilja
Journal:  Curr Opin Urol       Date:  2009-05       Impact factor: 2.309

5.  Formation of translational risk score based on correlation coefficients as an alternative to Cox regression models for predicting outcome in patients with NSCLC.

Authors:  Wolfgang Kössler; Anette Fiebeler; Arnulf Willms; Tina ElAidi; Bernd Klosterhalfen; Uwe Klinge
Journal:  Theor Biol Med Model       Date:  2011-07-27       Impact factor: 2.432

  5 in total

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