Evidence map›Paper›PMID 33051487›Full record

ArticleScientific reports2020

Prostate cancer risk prediction using a polygenic risk score.

Csilla Sipeky, Kirsi M Talala, Teuvo L J Tammela, Kimmo Taari, Anssi Auvinen, Johanna Schleutker

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 57 citations in OpenAlex.

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  14. Risk Association of Liver Cancer and Hepatitis B with Tree Ensemble and Lifestyle Features.International journal of environmental research and public health · 2022
    Article
  15. Race and prostate cancer: genomic landscape.Nature reviews. Urology · 2022
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 6 institutions in 1 country.

Csilla SipekyInstitute of Biomedicine, University of Turku, Kiinamyllynkatu 10, 20520, Turku, Finland.
Kirsi M TalalaFinnish Cancer Registry, Mass Screening Registry, Helsinki, Finland.
Teuvo L J TammelaDepartment of Urology, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Kimmo TaariDepartment of Urology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Anssi AuvinenUnit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland.
Johanna SchleutkerInstitute of Biomedicine, University of Turku, Kiinamyllynkatu 10, 20520, Turku, Finland. johanna.schleutker@utu.fi.
Finnish Cancer Registry · FIHelsinki University Hospital · FITampere University · FITampere University Hospital · FITurku University Hospital · FIUniversity of Turku · FI

Funding

Epidemiologic StudiesU19CA148065 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI AHSAN, HABIBUL, BRUGGE, JOAN SIEFERT · 2010 to 2014
$10.6M
Epidemiological and Clinical Translational Studies Post Genome-Wide AssociationU19CA148537 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EASTON, DOUGLAS FREDERICK, EELES, ROSALIND · 2010 to 2014
$10.4M
Ovarian cancer GWAS discovery, expansion and replication (N2 - Project #1)U19CA148112 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI SELLERS, THOMAS A · 2010 to 2014
$10.2M
A genome-wide association study for breast cancer in BRCA1 mutation carriersR01CA128978 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2008 to 2012
$4.8M
NCI NIH HHS R01 CA128978NCI NIH HHS U19 CA148065NCI NIH HHS U19 CA148112NCI NIH HHS U19 CA148537
6 · The paper itself

Abstract

Hereditary factors have a strong influence on prostate cancer (PC) risk and poorer outcomes, thus stratification by genetic factors addresses a critical need for targeted PC screening and risk-adapted follow-up. In this Finnish population-based retrospective study 2283 clinically diagnosed and 455 screen-detected patients from the Finnish Randomised Study of Screening for Prostate Cancer (FinRSPC), 2400 healthy individuals have been involved. Individual genetic risk through establishment of a polygenic risk score based on 55 PC risk SNPs identified through the Finnish subset of the Collaborative Oncological Gene-Environment Study was assessed. Men with PC had significantly higher median polygenic risk score compared to the controls (6.59 vs. 3.83, P < 0.0001). The polygenic risk score above the control median was a significant predictor of PC (OR 2.13, 95% CI 1.90-2.39). The polygenic risk score predicted the risk of PC with an AUC of 0.618 (95% CI 0.60-0.63). Men in the highest polygenic risk score quartile were 2.8-fold (95% CI 2.4-3.30) more likely to develop PC compared with men in the lowest quartile. In the FinRSPC cohort, a significantly higher percentage of men had a PSA level of ≥ 4 ng/mL in polygenic risk score quartile four compared to quartile one (18.7% vs 8.3%, P < 0.00001). Adding the PRS to a PSA-only model contributed additional information in predicting PC in the FinRSPC model. Results strongly suggest that use of the polygenic risk score would facilitate the identification of men at increased risk for PC.

Indexed as

AgedAged, 80 and overCohort StudiesFinlandGenetic Predisposition to DiseaseHumansMaleMiddle AgedMultifactorial InheritancePolymorphism, Single NucleotideProstate-Specific AntigenProstatic NeoplasmsRetrospective StudiesRisk FactorsProstate-Specific Antigen

Identifiers

PMID33051487
PMCPMC7553910
OpenAlexW3092454105

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.