Literature DB >> 19318948

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

George Botchorishvili1, Mika P Matikainen, Hans Lilja.   

Abstract

PURPOSE OF REVIEW: To delineate how recent findings on prostate-specific antigen (PSA) can improve prediction of risk, detection, and prediction of clinical endpoints of prostate cancer (PCa). RECENT
FINDINGS: The widely used PSA cut-point of 4.0 ng/ml increasingly appears arbitrary, but no cut-point achieves both high sensitivity and high specificity. The accuracy of detecting PCa can be increased by additional predictive factors and a combinations of markers. Evidence implies that a panel of kallikrein markers improves the specificity and reduces costs by eliminating unnecessary biopsies. Large, population-based studies have provided evidence that PSA can be used to predict PCa risk many years in advance, improve treatment selection and patient care, and predict the risk of complications and disease recurrence. However, definitive evidence is currently lacking as to whether PSA screening lowers PCa -specific mortality.
SUMMARY: PSA is still the main tool for early detection, risk stratification, and monitoring of PCa. However, PSA values are affected by many technical and biological factors. Instead of using a fixed PSA cut-point, using statistical prediction models and considering the integration additional markers may be able to improve and individualize PCa diagnostics. A single PSA measurement at early middle age can predict risk of advanced PCa decades in advance and stratify patients for intensity of subsequent screening.

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Year:  2009        PMID: 19318948      PMCID: PMC2782618          DOI: 10.1097/MOU.0b013e32832a2d10

Source DB:  PubMed          Journal:  Curr Opin Urol        ISSN: 0963-0643            Impact factor:   2.309


  88 in total

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3.  The effectiveness of screening for prostate cancer: a nested case-control study.

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4.  Preoperative PSA velocity and the risk of death from prostate cancer after radical prostatectomy.

Authors:  Anthony V D'Amico; Ming-Hui Chen; Kimberly A Roehl; William J Catalona
Journal:  N Engl J Med       Date:  2004-07-08       Impact factor: 91.245

5.  The time-resolved fluorescence-based PCA3 test on urinary sediments after digital rectal examination; a Dutch multicenter validation of the diagnostic performance.

Authors:  Martijn P M Q van Gils; Daphne Hessels; Onno van Hooij; Sander A Jannink; W Pim Peelen; Suzanne L J Hanssen; J Alfred Witjes; Erik B Cornel; Herbert F M Karthaus; Geert A H J Smits; Gerhard A Dijkman; Peter F A Mulders; Jack A Schalken
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6.  Predictive value of the differential expression of the urokinase plasminogen activation axis in radical prostatectomy patients.

Authors:  Amit Gupta; Yair Lotan; Raheela Ashfaq; Claus G Roehrborn; Ganesh V Raj; Corinne C Aragaki; Francesco Montorsi; Shahrokh F Shariat
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7.  Variation of serum prostate-specific antigen levels: an evaluation of year-to-year fluctuations.

Authors:  James A Eastham; Elyn Riedel; Peter T Scardino; Moshe Shike; Martin Fleisher; Arthur Schatzkin; Elaine Lanza; Lianne Latkany; Colin B Begg
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8.  Interpreting trends in prostate cancer incidence and mortality in the five Nordic countries.

Authors:  Rune Kvåle; Anssi Auvinen; Hans-Olov Adami; Asa Klint; Eivor Hernes; Bjørn Møller; Eero Pukkala; Hans H Storm; Laufey Tryggvadottir; Steinar Tretli; Rolf Wahlqvist; Elisabete Weiderpass; Freddie Bray
Journal:  J Natl Cancer Inst       Date:  2007-12-11       Impact factor: 13.506

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

Authors:  Sven Wenske; 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
Journal:  Int J Cancer       Date:  2009-02-01       Impact factor: 7.396

10.  Standardization of PSA measures: a reappraisal and an experience with WHO calibration of Beckman Coulter Access Hybritech total and free PSA.

Authors:  G Vignati; L Giovanelli
Journal:  Int J Biol Markers       Date:  2007 Oct-Dec       Impact factor: 3.248

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Journal:  Pharmacol Res       Date:  2010-11-18       Impact factor: 7.658

2.  Effect of CYP17 and PSA gene polymorphisms on prostate cancer risk and circulating PSA levels in the Slovak population.

Authors:  Monika Kmetová Sivoňová; Dušan Dobrota; Róbert Dušenka; Iveta Waczulíková; Peter Slezák; Tatiana Matáková; Silvia Mahmoodová; Dušan Mištuna; Ján Kliment
Journal:  Mol Biol Rep       Date:  2012-04-22       Impact factor: 2.316

Review 3.  Risk stratification in prostate cancer screening.

Authors:  Monique J Roobol; Sigrid V Carlsson
Journal:  Nat Rev Urol       Date:  2012-12-18       Impact factor: 14.432

Review 4.  Aberrant PSA glycosylation--a sweet predictor of prostate cancer.

Authors:  Sarah Gilgunn; Paul J Conroy; Radka Saldova; Pauline M Rudd; Richard J O'Kennedy
Journal:  Nat Rev Urol       Date:  2013-01-15       Impact factor: 14.432

5.  Predictors of pathological upgrading in low-risk prostate cancer patients without hypointense lesions on an apparent diffusion coefficient map of multiparametric magnetic resonance imaging.

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Journal:  World J Urol       Date:  2016-04-13       Impact factor: 4.226

Review 6.  Tumour markers and kidney function: a systematic review.

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Review 7.  A Review of Imaging Methods for Prostate Cancer Detection.

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Journal:  Biomed Eng Comput Biol       Date:  2016-03-02

8.  The Role of Sarcosine, Uracil, and Kynurenic Acid Metabolism in Urine for Diagnosis and Progression Monitoring of Prostate Cancer.

Authors:  Georgios Gkotsos; Christina Virgiliou; Ioanna Lagoudaki; Chrysanthi Sardeli; Nikolaos Raikos; Georgios Theodoridis; Georgios Dimitriadis
Journal:  Metabolites       Date:  2017-02-23

9.  A Nomogram Based on a TRUS Five-Grade Scoring System for the Prediction of Prostate Cancer and High Grade Prostate Cancer at Initial TRUS-Guided Biopsy.

Authors:  Shao Wei Xie; Yan Qing Wang; Bai Jun Dong; Jian Guo Xia; Hong Li Li; Shi Jun Zhang; Feng Hua Li; Wei Xue
Journal:  J Cancer       Date:  2018-10-22       Impact factor: 4.207

  9 in total

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