Evidence map›Paper›PMID 23571737›Full record

ArticleBritish journal of cancer2013

Low penetrance susceptibility to glioma is caused by the TP53 variant rs78378222.

V Enciso-Mora, F J Hosking, A L Di Stefano, D Zelenika, S Shete, P Broderick, A Idbaih, J-Y Delattre, K Hoang-Xuan, Y Marie and 23 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 6 pooled it
3.6field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 6 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  6. Allergic conditions reduce the risk of glioma: a meta-analysis based on 128,936 subjects.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  7. Article
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  11. Emerging insights into ethnic-specific TP53 germline variants.Journal of the National Cancer Institute · 2023
    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

33 authors at 15 institutions in 5 countries.

V Enciso-MoraDivision of Genetics and Epidemiology, Institute of Cancer Research, 15 Cotswold Road, Surrey SM2 5NG, UK.
F J Hosking
A L Di Stefano
D Zelenika
S Shete
P Broderick
A Idbaih
J-Y Delattre
K Hoang-Xuan
Y Marie
M Labussière
A Alentorn
P Ciccarino
M Rossetto
G Armstrong
Y Liu
K Gousias
J Schramm
C Lau
S J Hepworth
M Schoemaker
K Strauch
M Müller-Nurasyid
S Schreiber
A Franke
S Moebus
L Eisele
A Swerdlow
M Simon
M Bondy
M Lathrop
M Sanson
R S Houlston
Institute of Cancer Research · GBInstitut du Cerveau · FRSorbonne Université · FRThe University of Texas MD Anderson Cancer Center · USUniversity Hospital Bonn · DEUniversity of Duisburg-Essen · DEAssistance Publique – Hôpitaux de Paris · FRBaylor College of Medicine · USChildren's Cancer Center · USCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRHeidelberg University · DEHelmholtz Zentrum München · DEUniversity Hospital Schleswig-Holstein · DEUniversity of Leeds · GBZimmer Biomet (Netherlands) · NL

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Genetic Epidemiology of Glioma International ConsortiumR01CA119215 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BONDY, MELISSA L. · 2006 to 2010
$11.9M
MOLECULAR EPIDEMIOLOGY OF GLIOMASR01CA070917 · NCI · UNIVERSITY OF TEXAS MD ANDERSON CAN CTR · PI BONDY, MELISSA L · 1996 to 2004
$3.0M
Cancer Research UK C1298/A8362Department of HealthNCI NIH HHS 5R01 CA070917NCI NIH HHS 5R01 CA119215NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA070917NCI NIH HHS R01 CA119215Wellcome TrustWellcome Trust 076113Wellcome Trust 085475
6 · The paper itself

Abstract

backgroundMost of the heritable risk of glioma is presently unaccounted for by mutations in known genes. In addition to rare inactivating germline mutations in TP53 causing glioma in the context of the Li-Fraumeni syndrome, polymorphic variation in TP53 may also contribute to the risk of developing glioma.

methodsTo comprehensively evaluate the impact of variation in TP53 on risk, we analysed 23 tagSNPs and imputed 2377 unobserved genotypes in four series totaling 4147 glioma cases and 7435 controls.

resultsThe strongest validated association signal was shown by the imputed single-nucleotide polymorphism (SNP) rs78378222 (P=6.86 × 10(-24), minor allele frequency ~0.013). Confirmatory genotyping confirmed the high quality of the imputation. The association between rs78378222 and risk was seen for both glioblastoma multiforme (GBM) and non-GBM tumours. We comprehensively examined the relationship between rs78378222 and overall survival in two of the case series totaling 1699 individuals. Despite employing statistical tests sensitive to the detection of differences in early survival, no association was shown.

conclusionOur data provided strong validation of rs78378222 as a risk factor for glioma but do not support the tenet that the polymorphism being a clinically useful prognostic marker. Acquired TP53 inactivation is a common feature of glioma. As rs78378222 changes the polyadenylation signal of TP53 leading to impaired 3'-end processing of TP53 mRNA, the SNP has strong plausibility for being directly functional contributing to the aetiological basis of glioma.

Indexed as

PenetrancePolymorphism, Single NucleotideBrain NeoplasmsCase-Control StudiesEuropeFemaleGene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyGliomaHumansMaleMiddle AgedRNA 3' End ProcessingTumor Suppressor Protein p53United StatesTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID23571737
PMCPMC3670481
OpenAlexW1972933475

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

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.