Evidence map›Paper›PMID 35978138›Full record

ArticleBritish journal of cancer2022

Applying a genetic risk score for prostate cancer to men with lower urinary tract symptoms in primary care to predict prostate cancer diagnosis: a cohort study in the UK Biobank.

Harry D Green, Samuel W D Merriel, Richard A Oram, Katherine S Ruth, Jessica Tyrrell, Samuel E Jones, Chrissie Thirlwell, Michael N Weedon, Sarah E R Bailey

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 24 citations in OpenAlex.

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  15. Determining the role of genetic risk scores in symptomatic cancer detection.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Harry D GreenExeter Centre of Excellence for Diabetes Research (EXCEED), University of Exeter Medical School, St Luke's Campus, University of Exeter, Heavitree Road, Exeter, Devon, EX1 2LU, UK.
Samuel W D MerrielDISCOVERY Group, University of Exeter Medical School, St Luke's Campus, University of Exeter, Heavitree Road, Exeter, Devon, EX1 2LU, UK.
Richard A OramInstitute of Biomedical and Clinical Science, University of Exeter Medical School, St Luke's Campus, University of Exeter, Heavitree Road, Exeter, Devon, EX1 2LU, UK.
Katherine S RuthGenetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, EX2 5DW, UK.
Jessica TyrrellGenetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, EX2 5DW, UK.
Samuel E JonesInstitute for Molecular Medicine (FIMM), University of Helsinki, Helsinki, Finland.
Chrissie ThirlwellUniversity of Exeter Medical School, St Luke's Campus, University of Exeter, Heavitree Road, Exeter, Devon, EX1 2LU, UK.
Michael N WeedonInstitute of Biomedical and Clinical Science, University of Exeter Medical School, St Luke's Campus, University of Exeter, Heavitree Road, Exeter, Devon, EX1 2LU, UK.
Sarah E R BaileyDISCOVERY Group, University of Exeter Medical School, St Luke's Campus, University of Exeter, Heavitree Road, Exeter, Devon, EX1 2LU, UK. s.e.r.bailey@exeter.ac.uk.ORCID http://orcid.org/0000-0003-0020-4778
University of Exeter · GBUniversity of Helsinki · FI

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

backgroundProstate cancer is highly heritable, with >250 common variants associated in genome-wide association studies. It commonly presents with non-specific lower urinary tract symptoms that are frequently associated with benign conditions.

methodsCohort study using UK Biobank data linked to primary care records. Participants were men with a record showing a general practice consultation for a lower urinary tract symptom. The outcome measure was prostate cancer diagnosis within 2 years of consultation. The predictor was a genetic risk score of 269 genetic variants for prostate cancer.

resultsA genetic risk score (GRS) is associated with prostate cancer in symptomatic men (OR per SD increase = 2.12 [1.86-2.41] P = 3.5e-30). An integrated risk model including age and GRS applied to symptomatic men predicted prostate cancer (AUC 0.768 [0.739-0.796]). Prostate cancer incidence was 8.1% (6.7-9.7) in the highest risk quintile. In the lowest quintile, prostate cancer incidence was <1%.

conclusionsThis study is the first to apply GRS in primary care to improve the triage of symptomatic patients. Men with the lowest genetic risk of developing prostate cancer could safely avoid invasive investigation, whilst those identified with the greatest risk could be fast-tracked for further investigation. These results show that a GRS has potential application to improve the diagnostic pathway of symptomatic patients in primary care.

Indexed as

Lower Urinary Tract SymptomsProstatic NeoplasmsBiological Specimen BanksCohort StudiesGenome-Wide Association StudyHumansMalePrimary Health CareRisk FactorsUnited Kingdom

Identifiers

PMID35978138
PMCPMC9553867
OpenAlexW4292342424

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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.