Evidence map›Paper›PMID 26431041›Full record

ArticlePloS one2015

Incorporating Known Genetic Variants Does Not Improve the Accuracy of PSA Testing to Identify High Risk Prostate Cancer on Biopsy.

Rebecca Gilbert, Richard M Martin, David M Evans, Kate Tilling, George Davey Smith, John P Kemp, J Athene Lane, Freddie C Hamdy, David E Neal, Jenny L Donovan and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
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

11 authors at 4 institutions in 2 countries.

Rebecca GilbertSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Richard M MartinSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
David M EvansSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia.
Kate TillingSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
George Davey SmithSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
John P KempSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia.
J Athene LaneSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Freddie C HamdyNuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
David E NealDepartment of Oncology, University of Cambridge, Cambridge, United Kingdom.
Jenny L DonovanSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Chris MetcalfeSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
University of Bristol · GBTranslational Research Institute · AUUniversity of Cambridge · GBUniversity of Oxford · GB

Funding

Cancer Research UK 15194Cancer Research UK C11043/A4286Cancer Research UK C18281/A11326Cancer Research UK C18281/A15064Cancer Research UK C18281/A8145Cancer Research UK C31211/A15194Department of HealthMedical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/4
6 · The paper itself

Abstract

introductionProstate-specific antigen (PSA) testing is a widely accepted screening method for prostate cancer, but with low specificity at thresholds giving good sensitivity. Previous research identified four single nucleotide polymorphisms (SNPs) principally associated with circulating PSA levels rather than with prostate cancer risk (TERT rs2736098, FGFR2 rs10788160, TBX3 rs11067228, KLK3 rs17632542). Removing the genetic contribution to PSA levels may improve the ability of the remaining biologically-determined variation in PSA to discriminate between high and low risk of progression within men with identified prostate cancer. We investigate whether incorporating information on the PSA-SNPs improves the discrimination achieved by a single PSA threshold in men with raised PSA levels. MATERIALS AND

methodsMen with PSA between 3-10 ng/mL and histologically-confirmed prostate cancer were categorised as high or low risk of progression (Low risk: Gleason score≤6 and stage T1-T2a; High risk: Gleason score 7-10 or stage T2C). We used the combined genetic effect of the four PSA-SNPs to calculate a genetically corrected PSA risk score. We calculated the Area under the Curve (AUC) to determine how well genetically corrected PSA risk scores distinguished men at high risk of progression from low risk men.

resultsThe analysis includes 868 men with prostate cancer (Low risk: 684 (78.8%); High risk: 184 (21.2%)). Receiver operating characteristic (ROC) curves indicate that including the 4 PSA-SNPs does not improve the performance of measured PSA as a screening tool for high/low risk prostate cancer (measured PSA level AUC = 59.5% (95% CI: 54.7,64.2) vs additionally including information from the 4 PSA-SNPs AUC = 59.8% (95% CI: 55.2,64.5) (p-value = 0.40)).

conclusionWe demonstrate that genetically correcting PSA for the combined genetic effect of four PSA-SNPs, did not improve discrimination between high and low risk prostate cancer in men with raised PSA levels (3-10 ng/mL). Replication and gaining more accurate estimates of the effects of the 4 PSA-SNPs and additional variants associated with PSA levels and not prostate cancer could be obtained from subsequent GWAS from larger prospective studies.

Indexed as

Polymorphism, Single NucleotideBiopsyHumansMaleProstate-Specific AntigenProstatic NeoplasmsRisk FactorsSensitivity and SpecificityProstate-Specific Antigen

Identifiers

PMID26431041
PMCPMC4592274
OpenAlexW2135225990

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.