Evidence map›Paper›PMID 26034701›Full record

ArticleSpringerPlus2014

Association of the TP53 codon 72 polymorphism and breast cancer risk: a meta-analysis.

Meire Luzia Gonçalves, Sarah Moreira Borja, Jacqueline Andréia Bernardes Leão Cordeiro, Vera Aparecida Saddi, Flávio Monteiro Ayres, Cesar Augusto Sam Tiago Vilanova-Costa, Antonio Márcio Teodoro Cordeiro Silva

Abstract read
In one paragraph

Article in SpringerPlus, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
–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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Association Between theFrontiers in genetics · 2022
    Pooled it
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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

7 authors.

Meire Luzia GonçalvesDepartamento de Medicina, Pontifícia Universidade Católica de Goiás, Av. Universitária 1.069, Setor Universitário, Goiânia, Goiás CEP 74.605-010 Brazil.
Sarah Moreira BorjaDepartamento de Medicina, Pontifícia Universidade Católica de Goiás, Av. Universitária 1.069, Setor Universitário, Goiânia, Goiás CEP 74.605-010 Brazil.
Jacqueline Andréia Bernardes Leão CordeiroFaculdade de Enfermagem, Universidade Federal de Goiás, Goiânia, Goiás CEP 74605-080 Brazil.
Vera Aparecida SaddiDepartamento de Medicina, Pontifícia Universidade Católica de Goiás, Av. Universitária 1.069, Setor Universitário, Goiânia, Goiás CEP 74.605-010 Brazil ; Laboratório de Oncogenética e Radiobiologia, Hospital Araújo Jorge, Associação de Combate ao Câncer em Goiás, Goiânia, Goiás CEP 74605-070 Brazil ; Programa de Pós-Graduação Stricto Sensu em Ciências Ambientais e Saúde, Pontifícia Universidade Católica de Goiás, Goiânia, Goiás CEP 74065-140 Brazil.
Flávio Monteiro AyresUnidade Universitária de Ciências Exatas e Tecnológicas, Universidade Estadual de Goiás, Anápolis, Goiás CEP 75132-400 Brazil.
Cesar Augusto Sam Tiago Vilanova-CostaPrograma de Pós-Graduação Stricto Sensu em Ciências Ambientais e Saúde, Pontifícia Universidade Católica de Goiás, Goiânia, Goiás CEP 74065-140 Brazil.
Antonio Márcio Teodoro Cordeiro SilvaDepartamento de Medicina, Pontifícia Universidade Católica de Goiás, Av. Universitária 1.069, Setor Universitário, Goiânia, Goiás CEP 74.605-010 Brazil ; Programa de Pós-Graduação Stricto Sensu em Ciências Ambientais e Saúde, Pontifícia Universidade Católica de Goiás, Goiânia, Goiás CEP 74065-140 Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was conducted in order to investigate the implications of the R72P polymorphism in the TP53 gene in breast cancer risk. The enlightenment of this matter might provide a piece of information about the potential implications of this polymorphism in patient risk. A meta-analysis was conducted considering a large sample size from studies with conflicting results on the R72P polymorphism in breast cancer patients. Relevant studies were selected from PubMed and SciELO databases for data extraction and statistical analysis. Database was built according to the continent and considering the genotype frequencies, sample size and genotyping methodology. The dominant models (RR vs RP + PP and RR + RP vs. PP), homozygous (RR vs. PP), heterozygous (RR vs. RP and RP vs. PP) and the allele (R vs. P) were used. Genotype frequencies were summarized and evaluated by χ(2) test of heterogeneity in 2×2 contingency tables with 95% CIs. Odds Ratios (OR) were calculated with a fixed-effect model (Mantel-Haenszel) or a random-effect model (DerSimonian-Laird) if the studies were considered homogeneous (P > 0.05) or heterogeneous (P < 0.05), respectively, using BioEstat® 5.0 software. Supported by a large sample size composed by 25,629 cases and 26,633 controls from 41 studies, we found significant association between the R72P polymorphism in the TP53 gene and the breast cancer risk. The overall data shows an increased risk due to the P allele dominant model, but not in Asia where the risk was associated with the R allele and R dominant model.

Indexed as

Arg72ProBreast cancerGenetic susceptibilityp53R72PSingle nucleotide polymorphism

Identifiers

PMID26034701
PMCPMC4447735

What OpenQuestion holds

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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.