Evidence map›Paper›PMID 30527799›Full record

SynthesisEuropean urology2019

Homeobox B13 G84E Mutation and Prostate Cancer Risk.

Tommy Nyberg, Koveela Govindasami, Goska Leslie, Tokhir Dadaev, Elizabeth Bancroft, Holly Ni Raghallaigh, Mark N Brook, Nafisa Hussain, Diana Keating, Andrew Lee and 9 more

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in European urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  12. CanRisk-Prostate: A Comprehensive, Externally Validated Risk Model for the Prediction of Future Prostate Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Article
  13. 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

19 authors at 3 institutions in 1 country.

Tommy NybergCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. Electronic address: ten25@medschl.cam.ac.uk.
Koveela GovindasamiOncogenetics Team, Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Goska LeslieCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Tokhir DadaevOncogenetics Team, Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Elizabeth BancroftOncogenetics Team, Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK; Royal Marsden NHS Foundation Trust, London, UK.
Holly Ni RaghallaighOncogenetics Team, Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Mark N BrookOncogenetics Team, Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Nafisa HussainOncogenetics Team, Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Diana KeatingOncogenetics Team, Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Andrew LeeCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Romayne McMahonOncogenetics Team, Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Angela MorganOncogenetics Team, Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK; Royal Marsden NHS Foundation Trust, London, UK.
Andrea MullenOncogenetics Team, Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Andrea OsborneOncogenetics Team, Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Reshma RageevakumarOncogenetics Team, Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
UK Genetic Prostate Cancer Study Collaborators
Zsofia Kote-JaraiOncogenetics Team, Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Rosalind EelesOncogenetics Team, Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK; Royal Marsden NHS Foundation Trust, London, UK.
Antonis C AntoniouCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Institute of Cancer Research · GBUniversity of Cambridge · GBRoyal Marsden NHS Foundation Trust · GB

Funding

Cancer Research UK 20861Cancer Research UK C12292/A20861Cancer Research UK C12292/A22820Cancer Research UK C5047/A10692Cancer Research UK C5047/A15007Cancer Research UK C5047/A17528Cancer Research UK C5047/A3354Cancer Research UK C5047/A7357
6 · The paper itself

Abstract

backgroundThe homeobox B13 (HOXB13) G84E mutation has been recommended for use in genetic counselling for prostate cancer (PCa), but the magnitude of PCa risk conferred by this mutation is uncertain.

objectiveTo obtain precise risk estimates for mutation carriers and information on how these vary by family history and other factors. DESIGN, SETTING, AND

participantsTwo-fold: a systematic review and meta-analysis of published risk estimates, and a kin-cohort study comprising pedigree data on 11983 PCa patients enrolled during 1993-2014 from 189 UK hospitals and who had been genotyped for HOXB13 G84E. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Relative and absolute PCa risks. Complex segregation analysis with ascertainment adjustment to derive age-specific risks applicable to the population, and to investigate how these vary by family history and birth cohort. RESULTS AND LIMITATIONS: A meta-analysis of case-control studies revealed significant heterogeneity between reported relative risks (RRs; range: 0.95-33.0, p<0.001) and differences by case selection (p=0.007). Based on case-control studies unselected for PCa family history, the pooled RR estimate was 3.43 (95% confidence interval [CI] 2.78-4.23). In the kin-cohort study, PCa risk for mutation carriers varied by family history (p<0.001). There was a suggestion that RRs decrease with age, but this was not significant (p=0.068). We found higher RR estimates for men from more recent birth cohorts (p=0.004): 3.09 (95% CI 2.03-4.71) for men born in 1929 or earlier and 5.96 (95% CI 4.01-8.88) for men born in 1930 or later. The absolute PCa risk by age 85 for a male HOXB13 G84E carrier varied from 60% for those with no PCa family history to 98% for those with two relatives diagnosed at young ages, compared with an average risk of 15% for noncarriers. Limitations include the reliance on self-reported cancer family history.

conclusionsPCa risks for HOXB13 G84E mutation carriers are heterogeneous. Counselling should not be based on average risk estimates but on age-specific absolute risk estimates tailored to individual mutation carriers' family history and birth cohort. PATIENT SUMMARY: Men who carry a hereditary mutation in the homeobox B13 (HOXB13) gene have a higher than average risk for developing prostate cancer. In our study, we examined a large number of families of men with prostate cancer recruited across UK hospitals, to assess what other factors may contribute to this risk and to assess whether we could create a precise model to help in predicting a man's prostate cancer risk. We found that the risk of developing prostate cancer in men who carry this genetic mutation is also affected by a family history of prostate cancer and their year of birth. This information can be used to assess more personalised prostate cancer risks to men who carry HOXB13 mutations and hence better counsel them on more personalised risk management options, such as tailoring prostate cancer screening frequency.

Indexed as

Age FactorsCohort StudiesHomeodomain ProteinsHumansMaleMedical History TakingMutationProstatic NeoplasmsRisk AssessmentRisk FactorsUnited KingdomHomeodomain ProteinsHOXB13 protein, humanGenetic riskHomeoboxB13Kin-cohort studyMeta-analysisProstate cancer

Identifiers

PMID30527799
PMCPMC6470122
OpenAlexW2905135402

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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.