Literature DB >> 14755685

Prostate cancer association studies: pitfalls and solutions to cancer misclassification in the PSA era.

Elizabeth A Platz1, Angelo M De Marzo, Edward Giovannucci.   

Abstract

Widespread screening of American men for elevated PSA has changed the characteristics of prostate cancer cases in the U.S. The influence of the changed nature of prostate cancer cases in the PSA era and the need for careful consideration of who is a "case" and who is a "control" on the ability to detect associations of risk factors with prostate cancer in etiologic epidemiologic studies merits discussion. Issue 1: prostate cancer cases diagnosed in the PSA era are enriched with a pool of early lesions, which may differ in etiology, and are deficient in advanced lesions, which are the most likely to be the product of promotion and progression events. By admixing the two types of cases (i.e., imperfect specificity), the associations previously detected using epidemiologic designs when the majority of cases were clinically detected may no longer be apparent in the PSA era when the majority of cases are now detected in the pre-clinical phase. Researchers must now tailor hypotheses such that they are testable using early stage cases or specifically augment the number of advanced cases when testing hypotheses related to extraprostatic growth and progression. Issue 2: even when controls are screened for elevated PSA to rule out the presence of prostate cancer, some proportion of those controls currently will have one or more foci of prostate cancer. The imperfect sensitivity of the PSA test coupled with diagnostic work-up may in part result from (a) lack of PSA elevation in some men with prostate cancer or (b) failure of biopsy to sample the tumor focus in men with elevated PSA. Misclassification of men with undetected prostate cancer as controls usually produces a bias that tends to deflate associations. Given this type of disease misclassification, whether an association still can be statistically detected depends on the extent of misclassification, the magnitude of the true association, the prevalence of the exposure in the true controls, and the sample size, although in general moderate nondifferential misclassification does not lead to profound attenuation. However, under the same scenario attenuation does not occur in cohort or case-cohort studies in which the rate or risk ratio (RR) is calculated. That prostate cancer cases diagnosed in the PSA era are enriched with early stage, minimally invasive disease in our opinion is likely to pose a far more serious obstacle to epidemiologic research on the etiology of clinically important prostate cancer than the issue of inclusion as controls some men who have undiagnosed prostate cancer because of imperfect sensitivity of PSA screening and biopsy sampling error. Copyright 2003 Wiley-Liss, Inc.

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Year:  2004        PMID: 14755685     DOI: 10.1002/jcb.10700

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  16 in total

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3.  Development of a novel five-gene immune-related risk model for the prognosis evaluation of prostate adenocarcinoma patients.

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4.  Genetic variation in DNA repair genes and prostate cancer risk: results from a population-based study.

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Journal:  Cancer Causes Control       Date:  2009-11-10       Impact factor: 2.506

5.  Effect of thrombin tube on PSA determination, a clue for false negative in screening for prostate cancer.

Authors:  Viroj Wiwanitkit
Journal:  J Thromb Thrombolysis       Date:  2008-02-23       Impact factor: 2.300

6.  Serum retinol and prostate cancer risk: a nested case-control study in the prostate, lung, colorectal, and ovarian cancer screening trial.

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-03-31       Impact factor: 4.254

7.  Alcohol consumption and PSA-detected prostate cancer risk--a case-control nested in the ProtecT study.

Authors:  Luisa Zuccolo; Sarah J Lewis; Jenny L Donovan; Freddie C Hamdy; David E Neal; George Davey Smith
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Authors:  Andrew W Roddam; Naomi E Allen; Paul Appleby; Timothy J Key
Journal:  J Natl Cancer Inst       Date:  2008-01-29       Impact factor: 13.506

9.  Insulin-like growth factors, their binding proteins, and prostate cancer risk: analysis of individual patient data from 12 prospective studies.

Authors:  Andrew W Roddam; Naomi E Allen; Paul Appleby; Timothy J Key; Luigi Ferrucci; H Ballentine Carter; E Jeffrey Metter; Chu Chen; Noel S Weiss; Annette Fitzpatrick; Ann W Hsing; James V Lacey; Kathy Helzlsouer; Sabina Rinaldi; Elio Riboli; Rudolf Kaaks; Joop A M J L Janssen; Mark F Wildhagen; Fritz H Schröder; Elizabeth A Platz; Michael Pollak; Edward Giovannucci; Catherine Schaefer; Charles P Quesenberry; Joseph H Vogelman; Gianluca Severi; Dallas R English; Graham G Giles; Pär Stattin; Göran Hallmans; Mattias Johansson; June M Chan; Peter Gann; Steven E Oliver; Jeff M Holly; Jenny Donovan; François Meyer; Isabelle Bairati; Pilar Galan
Journal:  Ann Intern Med       Date:  2008-10-07       Impact factor: 25.391

10.  Recommended Definitions of Aggressive Prostate Cancer for Etiologic Epidemiologic Research.

Authors:  Lauren M Hurwitz; Ilir Agalliu; Demetrius Albanes; Kathryn Hughes Barry; Sonja I Berndt; Qiuyin Cai; Chu Chen; Iona Cheng; Jeanine M Genkinger; Graham G Giles; Jiaqi Huang; Corinne E Joshu; Tim J Key; Synnove Knutsen; Stella Koutros; Hilde Langseth; Sherly X Li; Robert J MacInnis; Sarah C Markt; Kathryn L Penney; Aurora Perez-Cornago; Thomas E Rohan; Stephanie A Smith-Warner; Meir J Stampfer; Konrad H Stopsack; Catherine M Tangen; Ruth C Travis; Stephanie J Weinstein; Wu Lang PhD; Eric J Jacobs; Lorelei A Mucci; Elizabeth A Platz; Michael B Cook
Journal:  J Natl Cancer Inst       Date:  2021-06-01       Impact factor: 13.506

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