Literature DB >> 17576986

Prostate-specific antigen in the early detection of prostate cancer.

Ian M Thompson1, Donna P Ankerst.   

Abstract

Throughout Canada, the United States and much of Europe, prostate-specific antigen (PSA) screening for prostate cancer has proliferated over the past 2 decades, leading to dramatic increases in detection rates of prostate cancer. Although it has unquestionably led to increased detection of cancer and a migration to lower-stage and -volume tumours, it is still unknown whether PSA screening significantly reduces mortality from prostate cancer. Often thought to be dichotomous (i.e., either normal or elevated), PSA measurements actually reflect cancer risk, with the risks of cancer and of aggressive cancer increasing with the level of PSA. The recently developed risk calculator from the Prostate Cancer Prevention Trial, which integrates family history of prostate cancer, digital rectal examination findings, PSA test result, age, ethnicity, and history of a prior prostate biopsy with a negative result, allows clinicians to assess a patient's individual risk of cancer. This risk should be examined in the context of a patient's life expectancy and comorbidity as well as his concern about the possibility of prostate cancer. The terms "normal" and "elevated" as descriptors of PSA results should be abandoned.

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Year:  2007        PMID: 17576986      PMCID: PMC1891131          DOI: 10.1503/cmaj.060955

Source DB:  PubMed          Journal:  CMAJ        ISSN: 0820-3946            Impact factor:   8.262


  46 in total

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Journal:  Epidemiology       Date:  2000-03       Impact factor: 4.822

Review 2.  Diagnostic tests 4: likelihood ratios.

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Journal:  Urology       Date:  2004-08       Impact factor: 2.649

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Journal:  J Urol       Date:  1987-04       Impact factor: 7.450

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Journal:  J Urol       Date:  1989-07       Impact factor: 7.450

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  21 in total

1.  A prospective, multicenter, National Cancer Institute Early Detection Research Network study of [-2]proPSA: improving prostate cancer detection and correlating with cancer aggressiveness.

Authors:  Lori J Sokoll; Martin G Sanda; Ziding Feng; Jacob Kagan; Isaac A Mizrahi; Dennis L Broyles; Alan W Partin; Sudhir Srivastava; Ian M Thompson; John T Wei; Zhen Zhang; Daniel W Chan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-05       Impact factor: 4.254

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Authors:  Theodore L Johnson
Journal:  J Chiropr Med       Date:  2010-03

Review 3.  Metabolomic Biomarkers of Prostate Cancer: Prediction, Diagnosis, Progression, Prognosis, and Recurrence.

Authors:  Rachel S Kelly; Matthew G Vander Heiden; Edward Giovannucci; Lorelei A Mucci
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-04-06       Impact factor: 4.254

Review 4.  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 5.  Functions of normal and malignant prostatic stem/progenitor cells in tissue regeneration and cancer progression and novel targeting therapies.

Authors:  Murielle Mimeault; Parmender P Mehta; Ralph Hauke; Surinder K Batra
Journal:  Endocr Rev       Date:  2008-02-21       Impact factor: 19.871

Review 6.  Positron emission tomography imaging of prostate cancer.

Authors:  Hao Hong; Yin Zhang; Jiangtao Sun; Weibo Cai
Journal:  Amino Acids       Date:  2009-11-28       Impact factor: 3.520

Review 7.  Biosensors: the new wave in cancer diagnosis.

Authors:  Brian Bohunicky; Shaker A Mousa
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8.  A feedback loop between the androgen receptor and a NEDD4-binding protein, PMEPA1, in prostate cancer cells.

Authors:  Hongyun Li; Linda L Xu; Katsuaki Masuda; Eliza Raymundo; David G McLeod; Albert Dobi; Shiv Srivastava
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Review 9.  Genomic and proteomic biomarkers for cancer: a multitude of opportunities.

Authors:  Michael A Tainsky
Journal:  Biochim Biophys Acta       Date:  2009-05-04

10.  Expressed prostatic secretion biomarkers improve stratification of NCCN active surveillance candidates: performance of secretion capacity and TMPRSS2:ERG models.

Authors:  Christopher Whelan; Mark Kawachi; David D Smith; Jennifer Linehan; Gail Babilonia; Rosa Mejia; Timothy Wilson; Steven S Smith
Journal:  J Urol       Date:  2013-05-10       Impact factor: 7.450

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