Literature DB >> 10443714

Use of percentage of free prostate-specific antigen to identify men at high risk of prostate cancer when PSA levels are 2.51 to 4 ng/mL and digital rectal examination is not suspicious for prostate cancer: an alternative model.

W J Catalona1, A W Partin, J A Finlay, D W Chan, H G Rittenhouse, R L Wolfert, D L Woodrum.   

Abstract

OBJECTIVES: Currently, many clinicians do not recommend prostate biopsy for men with digital rectal examination (DRE) results that are not suspicious for cancer and prostate-specific antigen (PSA) values between 2.51 and 4 ng/mL. We propose a new model for the detection of prostate cancer using the percentage of free PSA (%FPSA) in the limited range of PSA values between 2.51 and 4 ng/mL that maximizes clinical specificity (ie, minimizes false-positive results). This model identifies higher risk patients in this relatively low-risk population.
METHODS: Three hundred sixty-eight archived serum samples from men evaluated and treated at two academic institutions were reviewed. All men had a histologic diagnosis, findings not suspicious for cancer on DRE, and PSA levels between 2.51 and 4 ng/mL. Samples were tested in Hybritech's Tandem-R PSA and Tandem-R free PSA (FPSA) assays in the same laboratory at each institution.
RESULTS: Various models for cancer detection using %FPSA when PSA is 2.51 to 4 ng/mL and DRE is not suspicious for cancer are proposed. These models recommend biopsy for only 10% to 36% of the men in this population and would identify as many as 30% to 54% of the detectable cancers. There is evidence that the cancers that would be detected are the most aggressive cancers in this population.
CONCLUSIONS: Our models identified men with a higher risk of prostate cancer in a relatively low-risk population that currently does not routinely undergo biopsy. This may allow for a more cost-effective way to increase cancer detection when PSA values are between 2.51 and 4 ng/mL and DRE is not suspicious for cancer. This model has the potential to detect a greater number of clinically important and potentially curable cancers than would be detected with current practice.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10443714     DOI: 10.1016/s0090-4295(99)00185-5

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


  14 in total

1.  PSA screening: the bottom line.

Authors:  M M Elhilali
Journal:  CMAJ       Date:  2000-03-21       Impact factor: 8.262

2.  Major inter-laboratory variations in PSA testing practices: results from national surveys in Ireland in 2006 and 2007.

Authors:  F J Drummond; L Sharp; H Comber
Journal:  Ir J Med Sci       Date:  2008-10-08       Impact factor: 1.568

3.  Beyond prostate-specific antigen: new serologic biomarkers for improved diagnosis and management of prostate cancer.

Authors:  Shahrokh F Shariat; Eduardo I Canto; Michael W Kattan; Kevin M Slawin
Journal:  Rev Urol       Date:  2004

4.  Assay-specific artificial neural networks for five different PSA assays and populations with PSA 2-10 ng/ml in 4,480 men.

Authors:  Carsten Stephan; Chuanliang Xu; Henning Cammann; Markus Graefen; Alexander Haese; Hartwig Huland; Axel Semjonow; Eleftherios P Diamandis; Mesut Remzi; Bob Djavan; Mark F Wildhagen; Bert G Blijenberg; Patrik Finne; Ulf-Hakan Stenman; Klaus Jung; Hellmuth-Alexander Meyer
Journal:  World J Urol       Date:  2007-02-28       Impact factor: 4.226

5.  Computational Methods and Correlation of Exon-skipping Events with Splicing, Transcription, and Epigenetic Factors.

Authors:  Jianbo Wang; Zhenqing Ye; Tim H Huang; Huidong Shi; Victor X Jin
Journal:  Methods Mol Biol       Date:  2017

6.  Diagnostic and prognostic values of tissue hsa-miR-30c and hsa-miR-203 in prostate carcinoma.

Authors:  Ziling Huang; Long Zhang; Xianghua Yi; Xiaoting Yu
Journal:  Tumour Biol       Date:  2015-10-24

7.  [An artificial neural network as a tool in risk evaluation of prostate cancer. Indication for biopsy with the PSA range of 2-20 microg/l].

Authors:  C Stephan; B Vogel; H Cammann; M Lein; V Klevecka; P Sinha; G Kristiansen; D Schnorr; K Jung; S A Loening
Journal:  Urologe A       Date:  2003-03-22       Impact factor: 0.639

8.  High risk of under-grading and -staging in prostate cancer patients eligible for active surveillance.

Authors:  Isabel Heidegger; Viktor Skradski; Eberhard Steiner; Helmut Klocker; Renate Pichler; Andreas Pircher; Wolfgang Horninger; Jasmin Bektic
Journal:  PLoS One       Date:  2015-02-06       Impact factor: 3.240

9.  Preventing Unnecessary Invasive Cancer-Diagnostic Tests: Changing the Cut-off Points.

Authors:  G Pourmand; R Ramezani; B Sabahgoulian; F Nadali; Ar Mehrsai; Mr Nikoobakht; F Allameh; Sh Hossieni; A Seraji; M Rezai; F Haidari; S Dehghani; R Razmandeh; B Pourmand
Journal:  Iran J Public Health       Date:  2012-02-29       Impact factor: 1.429

Review 10.  The role of free prostate-specific antigen in prostate cancer detection.

Authors:  M Han; S R Potter; A W Partin
Journal:  Curr Urol Rep       Date:  2000-05       Impact factor: 2.862

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.