Risk Prediction of Prostate Cancer with Single Nucleotide Polymorphisms and Prostate Specific Antigen

dc.contributor.authorLi-Sheng Chen S.
dc.contributor.authorChing-Yuan Fann J.
dc.contributor.authorSipeky C.
dc.contributor.authorYang T.-K.
dc.contributor.authorYueh-Hsia Chiu S.
dc.contributor.authorMing-Fang Yen A.
dc.contributor.authorLaitinen V.
dc.contributor.authorTammela T.L.J.
dc.contributor.authorStenman U.-H.
dc.contributor.authorAuvinen A.
dc.contributor.authorSchleutker J.
dc.contributor.authorChen H.-H.
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.converis.publication-id39834908
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/39834908
dc.date.accessioned2022-10-28T13:43:15Z
dc.date.available2022-10-28T13:43:15Z
dc.description.abstract<p>Purpose: Combined information on single nucleotide polymorphisms and prostate specific antigen offers opportunities to improve the performance of screening by risk stratification. We aimed to predict the risk of prostate cancer based on prostate specific antigen together with single nucleotide polymorphism information.<br /><br />Materials and Methods: We performed a prospective study of 20,575 men with prostate specific antigen testing and 4,967 with a polygenic risk score for prostate cancer based on 66 single nucleotide polymorphisms from the Finnish population based screening trial of prostate cancer and 5,269 samples of 7 single nucleotide polymorphisms from the Finnish prostate cancer DNA study. A Bayesian predictive model was built to estimate the risk of prostate cancer by sequentially combining genetic information with prostate specific antigen compared with prostate specific antigen alone in study subjects limited to those with prostate specific antigen 4 ng/ml or above.<br /><br />Results: The posterior odds of prostate cancer based on 7 single nucleotide polymorphisms together with the prostate specific antigen level ranged from 3.7 at 4 ng/ml, 14.2 at 6 and 40.7 at 8 to 98.2 at 10 ng/ml. The ROC AUC was elevated to 88.8% (95% CI 88.6–89.1) for prostate specific antigen combined with the risk score based on 7 single nucleotide polymorphisms compared with 70.1% (95% CI 69.6–70.7) for prostate specific antigen alone. It was further escalated to 96.7% (95% CI 96.5–96.9) when all prostate cancer susceptibility polygenes were combined.<br /><br />Conclusions: Expedient use of multiple genetic variants together with information on prostate specific antigen levels better predicts the risk of prostate cancer than prostate specific antigen alone and allows for higher prostate specific antigen cutoffs. Combined information also provides a basis for risk stratification which can be used to optimize the performance of prostate cancer screening. <br /></p>
dc.format.pagerange486
dc.format.pagerange495
dc.identifier.jour-issn0022-5347
dc.identifier.olddbid183870
dc.identifier.oldhandle10024/166964
dc.identifier.urihttps://www.utupub.fi/handle/11111/41239
dc.identifier.urnURN:NBN:fi-fe2021042823157
dc.language.isoen
dc.okm.affiliatedauthorSipeky, Csilla
dc.okm.affiliatedauthorSchleutker, Johanna
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline3122 Cancersen_GB
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.discipline3122 Syöpätauditfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherNLM (Medline)
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.doi10.1016/j.juro.2018.10.015
dc.relation.ispartofjournalJournal of Urology
dc.relation.issue3
dc.relation.volume201
dc.source.identifierhttps://www.utupub.fi/handle/10024/166964
dc.titleRisk Prediction of Prostate Cancer with Single Nucleotide Polymorphisms and Prostate Specific Antigen
dc.year.issued2019

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