Evidence map›Paper›PMID 24475258›Full record

SynthesisPloS one2014

Relationship between Rad51 G135C and G172T variants and the susceptibility to cancer: a meta-analysis involving 54 case-control studies.

Mengmeng Zhao, Pin Chen, Yanbin Dong, Xianji Zhu, Xilong Zhang

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  5. Cancers · 2022
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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

5 authors.

Mengmeng ZhaoDepartment of Respiratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Pin ChenDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yanbin DongDepartment of Respiratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xianji ZhuDepartment of Respiratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xilong ZhangDepartment of Respiratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe associations between Rad51 gene polymorphisms (G135C and G172T) and risk of cancer have been investigated, but the results were inconclusive. To get a comprehensive evaluation of the association above, we performed a meta-analysis of published studies.

methodsA computerized search of PubMed, Embase and Web of Knowledge databases for all relevant studies was performed and the data were analyzed in a meta-analysis. The overall odds ratio (OR) with the 95% confidence interval (95% CI) was calculated to assess the strength of the association between Rad51 polymorphisms and cancer risk. Data were analyzed using fixed- or random-effects model when appropriate. Sensitivity analysis and publication bias test were also estimated.

resultsOverall, a total of 54 case-control studies were included in the current meta-analysis, among which 42 studies with 19,142 cases and 20,363 controls for RAD51 G135C polymorphism and 12 studies with 6,646 cases and 6,783 controls for G172T polymorphism. For G135C polymorphism, the pooled results indicated that significantly increased risk was found in overall cancers (homozygote model: OR = 1.776, 95% CI = 1.288-2.449; allelic genetic model: OR = 1.169, 95% CI = 1.016-1.345; recessive model: OR = 1.946, 95% CI = 1.336-2.835), especially in breast cancer (homozygote model: OR = 1.498, 95% CI = 1.026-2.189; recessive model: OR = 1.732, 95% CI  =  1.170-2.562). For G172T polymorphism, a decreased cancer risk was observed in head and neck cancer (homozygote model: OR  =  0.621, 95% CI  =  0.460-0.837; allelic genetic model: OR  =  0.824, 95% CI  =  0.716-0.948; recessive model: OR  =  0.639, 95% CI = 0.488-0.837).

conclusionsOur results suggested that the Rad51 G135C polymorphism is a candidate for susceptibility to overall cancers, especially to breast cancer, and that the Rad51 G172T might play a protective role in the development of head and neck cancer.

Indexed as

Case-Control StudiesGenetic Predisposition to DiseaseHumansModels, StatisticalNeoplasmsOdds RatioPolymorphism, Single NucleotideRad51 RecombinaseRAD51 protein, humanRad51 Recombinase

Identifiers

PMID24475258
PMCPMC3903631

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.