Evidence map›Paper›PMID 26461055›Full record

ArticleBritish journal of cancer2015

Polygenic susceptibility to testicular cancer: implications for personalised health care.

Kevin Litchfield, Jonathan S Mitchell, Janet Shipley, Robert Huddart, Ewa Rajpert-De Meyts, Niels E Skakkebæk, Richard S Houlston, Clare Turnbull

Erratum issuedAbstract readComparative Study
In one paragraph

Article in British journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Familial TGCT: polygenic aetiology advanced.Nature reviews. Urology · 2018
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Kevin LitchfieldDivision of Genetics and Epidemiology, The Institute of Cancer Research, London SW3 6JB, UK.
Jonathan S MitchellDivision of Genetics and Epidemiology, The Institute of Cancer Research, London SW3 6JB, UK.
Janet ShipleyDivision of Molecular Pathology, The Institute of Cancer Research, London SW3 6JB, UK.
Robert HuddartAcademic Radiotherapy Unit, The Institute of Cancer Research, London SW3 6JB, UK.
Ewa Rajpert-De MeytsDepartment of Growth and Reproduction, Copenhagen University Hospital (Rigshospitalet), Copenhagen, Denmark.
Niels E SkakkebækDepartment of Growth and Reproduction, Copenhagen University Hospital (Rigshospitalet), Copenhagen, Denmark.
Richard S HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, London SW3 6JB, UK.
Clare TurnbullDivision of Genetics and Epidemiology, The Institute of Cancer Research, London SW3 6JB, UK.

Funding

Cancer Research UK 15116
6 · The paper itself

Abstract

backgroundThe increasing incidence of testicular germ cell tumour (TGCT) combined with its strong heritable basis suggests that stratified screening for the early detection of TGCT may be clinically useful. We modelled the efficiency of such a personalised screening approach, based on genetic risk profiling in combination with other diagnostic tools.

methodsWe compared the number of cases potentially detectable in the population under a number of screening models. The polygenic risk scoring (PRS) model was assumed to have a log-normal relative risk distribution across the 19 currently known TGCT susceptibility variants. The diagnostic performance of testicular biopsy and non-invasive semen analysis was also assessed, within a simulated combined screening programme.

resultsThe area under the curve for the TGCT PRS model was 0.72 with individuals in the top 1% of the PRS having a nine-fold increased TGCT risk compared with the population median. Results from population-screening simulations only achieved a maximal positive predictive value (PPV) of 60%, highlighting broader clinical factors that challenge such strategies, not least the rare nature of TGCT. In terms of future improvements, heritability estimates suggest that a significant number of additional genetic risk factors for TGCT remain to be discovered, identification of which would potentially yield improvement of the PPV to 80-90%.

conclusionsWhile personalised screening models may offer enhanced TGCT risk discrimination, presently the case for population-level testing is not compelling. However, future advances, such as more routine generation of whole genome data is likely to alter the landscape. More targeted screening programs may plausibly then offer clinical benefit, particularly given the significant survivorship issues associated with the successful treatment of TGCT.

Indexed as

Multifactorial InheritanceBiopsyEarly Detection of CancerGenetic Predisposition to DiseaseHumansMaleModels, GeneticNeoplasms, Germ Cell and EmbryonalPatient-Specific ModelingPrecision MedicinePredictive Value of TestsSemen AnalysisTesticular Neoplasms

Identifiers

PMID26461055
PMCPMC4815881

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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.