Evidence map›Paper›PMID 17151932›Full record

ArticleJournal of neuro-oncology2007

Genetic variation in p53 and ATM haplotypes and risk of glioma and meningioma.

Beatrice Susanne Malmer, Maria Feychting, Stefan Lönn, Sara Lindström, Henrik Grönberg, Anders Ahlbom, Judy Schwartzbaum, Anssi Auvinen, Helle Collatz-Christensen, Christoffer Johansen and 6 more

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In one paragraph

Article in Journal of neuro-oncology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 7 pooled it
2.1field-weighted citation impact, top 13% 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

31 citing papers in PubMed, 7 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. The effects of p53 Arg72Pro polymorphism on glioma susceptibility: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  5. Quantitative assessment of the association between TP53 Arg72Pro polymorphism and risk of glioma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  6. P53 codon 72 Arg/Pro polymorphism and glioma risk: an updated meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Pooled it
  7. Pooled it
  8. Article
  9. Nervous system (NS) Tumors in Cancer Predisposition Syndromes.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Review
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  15. Indian journal of clinical biochemistry : IJCB · 2019
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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

16 authors at 6 institutions in 4 countries.

Beatrice Susanne MalmerDepartment of Radiation Sciences, Oncology, Umeå University Hospital, 901 85, Umeå, Sweden. Beatrice.malmer@onkologi.umu.se
Maria Feychting
Stefan Lönn
Sara Lindström
Henrik Grönberg
Anders Ahlbom
Judy Schwartzbaum
Anssi Auvinen
Helle Collatz-Christensen
Christoffer Johansen
Anne Kiuru
Nadejda Mudie
Tiina Salminen
Minouk J Schoemaker
Anthony J Swerdlow
Roger Henriksson
Karolinska Institutet · SEUmeå University · SEDanish Cancer Society · DKRadiation and Nuclear Safety Authority · FITampere University · FITampere University · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundP53 and ATM are central checkpoint genes involved in the repair of DNA damage after ionising irradiation, which has been associated with risk of brain tumours. Therefore, we tested the hypothesis that polymorphisms and haplotypes in p53 and ATM could be associated with glioma and meningioma risk. MATERIAL AND

methodsSix hundred and eighty glioma cases (298 glioblastoma (GBM)), 503 meningioma cases, and 1555 controls recruited in the Nordic-UK Interphone study, were analysed in association with three polymorphisms in p53 (rs2287499, rs1042533, rs1625895) and five polymorphisms in ATM ( rs228599, rs3092992, rs664143, rs170548, rs3092993). Haplotypes were constructed using the HAPLOSTAT program.

resultsThe global statistical test of glioblastoma and p53 haplotypes was p = 0.02. The haplotype analysis on glioblastoma revealed the 1-2-2 haplotype (promotor-codon72-intron 6) had a frequency of 6.1% in cases compared with 9.8% in controls (p = 0.003). The 1-2-1 haplotype was significantly more frequent in GBM cases, 10.2%, than in controls, 7.3% (p = 0.02). The haplotype analysis in ATM revealed an increased frequency of the 1-1-1-2-1 haplotype in meningioma cases (33.8%) compared with controls (30.3%) (p = 0.03). The 2-1-2-1-1 haplotype had a lower frequency in meningioma cases (36.1%) than controls (40.7%) (p = 0.009).

conclusionsThis study found both positive and negative associations of haplotypes in p53 for glioblastoma and ATM for meningioma. This study provides new data that could add to our understanding of brain tumour susceptibility.

Indexed as

AdultAgedAtaxia Telangiectasia Mutated ProteinsBrain NeoplasmsCase-Control StudiesCell Cycle ProteinsDNA-Binding ProteinsFemaleGenetic Predisposition to DiseaseGliomaHaplotypesHumansMaleMeningeal NeoplasmsMeningiomaMiddle AgedAtaxia Telangiectasia Mutated ProteinsATM protein, humanCell Cycle ProteinsDNA-Binding ProteinsProtein Serine-Threonine KinasesTumor Suppressor Protein p53Tumor Suppressor Proteins

Identifiers

PMID17151932
OpenAlexW2124203536

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.