Prostate cancer screening in men aged 50 to 69 years (STHLM3): A prospective population-based diagnostic study. Grönberg H, Adolfsson J, Aly M, Nordström T, Wiklund P, Brandberg Y, Thompson J, Wiklund F, Lindberg J, Clements M, Egevad L, Eklund M.Lancet Oncol. 2015 Dec;16(16):1667-76. [Epub 2015 Nov 10]. doi: 10.1016/S1470-2045(15)00361-7

Abstract Background The prostate-specific antigen (PSA) test is used to screen for prostate cancer but has a high false-positive rate that translates into unnecessary prostate biopsies and overdiagnosis of low-risk prostate cancers. We aimed to develop and validate a model to identify high-risk pros...

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Veröffentlicht in:UROLOGIC ONCOLOGY: SEMINARS AND ORIGINAL INVESTIGATIONS 2017-03, Vol.35 (3), p.120-120
Hauptverfasser: Scott, Eggener, M.D, Adolfsson, J, Aly, M, Nordström, T, Wiklund, P, Brandberg, Y, Thompson, J, Wiklund, F, Lindberg, J, Clements, M, Egevad, L, Eklund, M
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Zusammenfassung:Abstract Background The prostate-specific antigen (PSA) test is used to screen for prostate cancer but has a high false-positive rate that translates into unnecessary prostate biopsies and overdiagnosis of low-risk prostate cancers. We aimed to develop and validate a model to identify high-risk prostate cancer (with a Gleason score of at least 7) with better test characteristics than that provided by PSA screening alone. Methods The Stockholm 3 (STHLM3) study is a prospective, population-based, paired, screen-positive, diagnostic study of men without prostate cancer aged 50 to 69 years randomly invited by date of birth from the Swedish Population Register kept by the Swedish Tax Agency. Men with prostate cancer at enrolment were excluded from the study. The predefined STHLM3 model (a combination of plasma protein biomarkers [PSA, free PSA, intact PSA, hK2, MSMB, MIC1], genetic polymorphisms [232 SNPs], and clinical variables [age, family, history, previous prostate biopsy, prostate exam]), and PSA concentration were both tested in all participants enrolled. The primary aim was to increase the specificity compared with PSA without decreasing the sensitivity to diagnose high-risk prostate cancer. The primary outcomes were number of detected high-risk cancers (sensitivity) and the number of performed prostate biopsies (specificity). The STHLM3 training cohort was used to train the STHLM3 model, which was prospectively tested in the STHLM3 validation cohort. Logistic regression was used to test for associations between biomarkers and clinical variables and prostate cancer with a Gleason score of at least 7. This study is registered with ISCRTN.com, number ISRCTN84445406. Findings The STHLM3 model performed significantly better than PSA alone for detection of cancers with a Gleason score of at least 7 ( P
ISSN:1078-1439
1873-2496
DOI:10.1016/j.urolonc.2016.03.013