Evidence map›Paper›PMID 23737888›Full record

ArticleExperimental and therapeutic medicine2013

p53 codon 72 polymorphism and breast cancer risk: A meta-analysis.

Jing Hou, Yuan Jiang, Wenru Tang, Shuting Jia

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 6 pooled it
1.9field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 6 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Association Between theFrontiers in genetics · 2022
    Pooled it
  2. Pooled it
  3. Pooled it
  4. The polymorphism of EGFR 142285G > A exerts no risk effect on breast cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  5. Association between the P53 codon 72 polymorphism and nasopharyngeal cancer risk.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  6. The association of SIPA1 gene polymorphisms with breast cancer risk: evidence from published studies.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  7. Article
  8. Article
  9. Article
  10. Indian journal of clinical biochemistry : IJCB · 2019
    Article
  11. Review
  12. Article
  13. Article
  14. Breast cancer risk in relation to TP53 codon 72 and CDH1 gene polymorphisms in the Bangladeshi women.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  15. 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

4 authors at 1 institution in 2 countries.

Jing HouLaboratory of Molecular Genetics of Aging and Tumor, Medical Faculty;
Yuan Jiang
Wenru Tang
Shuting Jia
Kunming University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

p53 is a tumor suppressor gene and plays important roles in the etiology of breast cancer. Studies have produced conflicting results concerning the role of p53 codon 72 polymorphism (G>C) on the risk of breast cancer; therefore, a meta-analysis was performed to estimate the association between the p53 codon 72 polymorphism and breast cancer. Screening of the PubMed database was conducted to identify relevant studies. Studies containing available genotype frequencies of the p53 codon 72 polymorphism were selected and a pooled odds ratio (OR) with 95% confidence interval (CI) was used to assess the association. Sixty-one published studies, including 28,539 breast cancer patients and 32,788 controls were identified. The results suggest that variant genotypes are not associated with breast cancer risk (Pro/Pro + Arg/Pro vs. Arg/Arg: OR=1.016, 95% CI=0.931-1.11, P=0.722). The symmetric funnel plot, Egger's test (P=0.506) and Begg's test (P=0.921) were all suggestive of the lack of publication bias. This meta-analysis suggests that the p53 codon 72 Pro/Pro + Arg/Pro genotypes are not associated with an increased risk of breast cancer. To validate the association between the p53 codon 72 polymorphism and breast cancer, further studies with larger numbers of participants worldwide are required.

Indexed as

breast cancermeta-analysisp53

Identifiers

PMID23737888
PMCPMC3671901
OpenAlexW1969196207

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.