Evidence map›Paper›PMID 22161248›Full record

SynthesisMolecular biology reports2012

Association between the XRCC3 polymorphisms and breast cancer risk: meta-analysis based on case-control studies.

Xiao-Feng He, Wu Wei, Jiao Su, Zi-Xuan Yang, Yi Liu, Ying Zhang, Da-Peng Ding, Wei Wang

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular biology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 5 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

18 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. XRCC3 T241M polymorphism is associated risk of hepatocellular carcinoma in the Chinese.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Pooled it
  6. Cancers · 2022
    Article
  7. Review
  8. Polymorphism of XRCC3 in Egyptian Breast Cancer Patients.Pharmacogenomics and personalized medicine · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. DNA repair gene XRCC3 Thr241Met polymorphism and glioma risk: a meta-analysis.International journal of clinical and experimental medicine · 2013
    Article
  17. Article
  18. Article
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

8 authors.

Xiao-Feng HeCentral Laboratory, Peace Hospital of Changzhi Medical College, Changzhi, 046000, China. 393120823@qq.com
Wu Wei
Jiao Su
Zi-Xuan Yang
Yi Liu
Ying Zhang
Da-Peng Ding
Wei Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The previous published data on the association between X-ray repair cross-complementing group 3 (XRCC3) T241M, A4541G, and A17893G polymorphisms and breast cancer risk remained controversial. Hence, we performed a meta-analysis to investigate the association between breast cancer and XRCC3 T241M (21,910 cases and 23,961 controls), A4541G (9,633 cases and 10,994 controls), and A17893G polymorphisms (10,761 cases and 12,235 controls) in different inheritance models. When all the eligible studies were pooled into the meta-analysis of XRCC3 T241M polymorphism, significantly increased risk of breast cancer was observed in recessive model (odds' ratio [OR] = 1.10, 95% confidence interval [CI] = 1.04-1.16) and in additive model (OR = 1.10, 95% CI = 1.03-1.16). No significant association was found between A4541G polymorphism and breast cancer risk. When all the eligible studies were pooled into the meta-analysis of XRCC3 A17893G polymorphism, no significant association was found in any genetic model. Additionally, when one study was deleted in the sensitive analysis, the results of XRCC3 A17893G were changed in the additive model (OR = 0.90, 95% CI = 0.82-0.99) and dominant model (OR = 0.94, 95% CI = 0.89-0.99). In summary, this meta-analysis indicates that T241M polymorphism show an increased breast cancer risk and A17893G polymorphism may be associated with decreased breast cancer risk. A study with the larger sample size is needed to further evaluated gene-environment interaction on XRCC3 T241M, A4541G, and A17893G polymorphisms and breast cancer risk.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseBreast NeoplasmsCase-Control StudiesDNA-Binding ProteinsFemaleHumansPolymorphism, Single NucleotidePublication BiasRisk FactorsDNA-Binding ProteinsX-ray repair cross complementing protein 3

Identifiers

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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.