Literature DB >> 27431530

Prostate-specific antigen testing for prostate cancer: Depleting a limited pool of susceptible individuals?

Morten Valberg1, Tom Grotmol2, Steinar Tretli2, Marit B Veierød3, Tron A Moger3,4, Susan S Devesa5, Odd O Aalen3.   

Abstract

After the introduction of the prostate specific antigen (PSA) test in the 1980s, a sharp increase in the incidence rate of prostate cancer was seen in the United States. The age-specific incidence patterns exhibited remarkable shifts to younger ages, and declining rates were observed at old ages. Similar trends were seen in Norway. We investigate whether these features could, in combination with PSA testing, be explained by a varying degree of susceptibility to prostate cancer in the populations. We analyzed incidence data from the United States' Surveillance, Epidemiology, and End Results program for 1973-2010, comprising 511,027 prostate cancers in men ≥40 years old, and Norwegian national incidence data for 1953-2011, comprising 113,837 prostate cancers in men ≥50 years old. We developed a frailty model where only a proportion of the population could develop prostate cancer, and where the increased risk of diagnosis due to the massive use of PSA testing was modelled by encompassing this heterogeneity in risk. The frailty model fits the observed data well, and captures the changing age-specific incidence patterns across birth cohorts. The susceptible proportion of men is [Formula: see text] in the United States and [Formula: see text] in Norway. Cumulative incidence rates at old age are unchanged across birth cohort exposed to PSA testing at younger and younger ages. The peaking cohort-specific age-incidence curves of prostate cancer may be explained by the underlying heterogeneity in prostate cancer risk. The introduction of the PSA test has led to a larger number of diagnosed men. However, no more cases are being diagnosed in total in birth cohorts exposed to the PSA era at younger and younger ages, even though they are diagnosed at younger ages. Together with the earlier peak in the age-incidence curves for younger cohorts, and the strong familial association of the cancer, this constitutes convincing evidence that the PSA test has led to a higher proportion, and an earlier timing, of diagnoses in a limited pool of susceptible individuals.

Entities:  

Keywords:  Frailty; PSA test; Prostate cancer; Susceptibility

Mesh:

Substances:

Year:  2016        PMID: 27431530      PMCID: PMC5468491          DOI: 10.1007/s10654-016-0185-z

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  36 in total

1.  The role of prostate-specific antigen (PSA) testing patterns in the recent prostate cancer incidence decline in the United States.

Authors:  J M Legler; E J Feuer; A L Potosky; R M Merrill; B S Kramer
Journal:  Cancer Causes Control       Date:  1998-10       Impact factor: 2.506

2.  Population-based patterns and predictors of prostate-specific antigen screening among older men in the United States.

Authors:  Michael W Drazer; Dezheng Huo; Mara A Schonberg; Aria Razmaria; Scott E Eggener
Journal:  J Clin Oncol       Date:  2011-03-28       Impact factor: 44.544

3.  Familial risk and familial survival in prostate cancer.

Authors:  Kari Hemminki
Journal:  World J Urol       Date:  2011-11-25       Impact factor: 4.226

4.  Frailty modeling of the bimodal age-incidence of Hodgkin lymphoma in the Nordic countries.

Authors:  Tom Grotmol; Freddie Bray; Harald Holte; Marion Haugen; Lauren Kunz; Steinar Tretli; Odd O Aalen; Tron A Moger
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-05-10       Impact factor: 4.254

5.  [PSA analyses in three Norwegian counties in 1999].

Authors:  E Skovlund; S D Fosså
Journal:  Tidsskr Nor Laegeforen       Date:  2000-09-10

6.  Prostate cancer screening in men ages 75 and older fell by 8 percentage points after Task Force recommendation.

Authors:  David H Howard; Florence K Tangka; Gery P Guy; Donatus U Ekwueme; Joseph Lipscomb
Journal:  Health Aff (Millwood)       Date:  2013-03       Impact factor: 6.301

7.  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

Review 8.  Evaluation of data quality in the cancer registry: principles and methods Part II. Completeness.

Authors:  D Max Parkin; Freddie Bray
Journal:  Eur J Cancer       Date:  2009-01-06       Impact factor: 9.162

Review 9.  The genetic epidemiology of prostate cancer and its clinical implications.

Authors:  Rosalind Eeles; Chee Goh; Elena Castro; Elizabeth Bancroft; Michelle Guy; Ali Amin Al Olama; Douglas Easton; Zsofia Kote-Jarai
Journal:  Nat Rev Urol       Date:  2013-12-03       Impact factor: 14.432

10.  Regulation of senescence in cancer and aging.

Authors:  Yahui Kong; Hang Cui; Charusheila Ramkumar; Hong Zhang
Journal:  J Aging Res       Date:  2011-03-08
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  2 in total

1.  Prostate cancer incidence as an iceberg.

Authors:  Lorelei A Mucci; Claire H Pernar; Sam Peisch; Travis Gerke; Kathryn M Wilson
Journal:  Eur J Epidemiol       Date:  2017-05-30       Impact factor: 8.082

2.  Heterogeneity in risk of prostate cancer: A Swedish population-based cohort study of competing risks and Type 2 diabetes mellitus.

Authors:  Christel Häggström; Mieke Van Hemelrijck; Hans Garmo; David Robinson; Pär Stattin; Mark Rowley; Anthony C C Coolen; Lars Holmberg
Journal:  Int J Cancer       Date:  2018-08-10       Impact factor: 7.396

  2 in total

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