Evidence map›Paper›PMID 21952824›Full record

SynthesisMolecular biology reports2012

Meta-analysis shows significant association of the TP53 Arg72Pro with ovarian cancer risk.

Su-Qin Shen, De-Ke Jiang, Guo-Yuan Liu, Fang Chen, Long Yu

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 4 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 3 pooled it
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 3 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. No association betweenOncotarget · 2017
    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

5 authors at 1 institution in 1 country.

Su-Qin ShenState Key Laboratory of Genetic Engineering, Fudan University, Shanghai, 200433, China.
De-Ke Jiang
Guo-Yuan Liu
Fang Chen
Long Yu
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing bodies of studies have been conducted on the association of TP53 Arg72Pro polymorphism with susceptibility to ovarian cancer and have yielded conflicting results. Thus, a meta-analysis was performed to summarize the possible association. 18 case-control studies, including 2,193 ovarian cancer cases and 5,175 controls were identified. The quality of the studies was assessed according to a predefined scale. The strength of the associations between TP53 Arg72Pro polymorphism and ovarian cancer was measured by crude odds ratios (ORs) with 95% confidence intervals (CIs). Overall, no significant association was found between TP53 Arg72Pro polymorphism and ovarian cancer risk when all studies pooled into the meta-analysis in all genetic model. In the subgroup analysis by ethnicity, still no association of this polymorphism with ovarian cancer risk was obtained for all comparison models. However, significantly decreased risks of ovarian cancer were found for Arg/Arg versus Arg/Pro+Pro/Pro (OR 0.84, 95% CI 0.74-0.96) when the analysis was restricted to high quality studies. Conversely, when it was restricted to low quality studies, significantly increased risks were observed for Arg/Arg versus Pro/Pro (OR 1.58, 95% CI 1.09-2.28) and Arg/Arg+Arg/Pro versus Pro/Pro: (OR 1.50, 95% CI 1.10-2.06), which might be spurious due to the poor design of these studies. In conclusion, this meta-analysis suggests that the Arg allele is at a moderately reduced risk for ovarian cancer and this polymorphism might protect against ovarian carcinogenesis.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseAmino Acid SubstitutionArginineFemaleGene FrequencyHomozygoteHumansOvarian NeoplasmsPolymorphism, Single NucleotideProlinePublication BiasRisk FactorsTumor Suppressor Protein p53ArginineProlineTumor Suppressor Protein p53

Identifiers

PMID21952824
OpenAlexW2058804658

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.