Evidence map›Paper›PMID 23649771›Full record

SynthesisMolecular biology reports2013

Genetic variation of the CYP17 and susceptibility to endometrial cancer: a meta-analysis.

Jun Xu, Xiao Lin, Haoping Zhu, Zhiling Zhang, Baohua Yang

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. CYP17 polymorphism (rs743572) is associated with increased risk of gallbladder cancer in tobacco users.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  5. 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.

Jun XuDepartment of Gynaecology and Obstetrics, Shanghai Minhang District Center Hospital, 285 Xindong Road, Shanghai, 201100, People's Republic of China. superjun_xu@126.com
Xiao Lin
Haoping Zhu
Zhiling Zhang
Baohua Yang
Minhang District Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive estrogenic influence is known to be associated with initiation/promotion of endometrial cancer (EC). Common variants among genes coding for enzymes in sex steroid biosynthetic pathways may influence the risk of EC. Cytochrome P450c17α (CYP17), a gene that codes for a key enzyme (cytochrome P450c17α) in a rate-limiting step of estrogen biosynthesis has attracted considerable attention as a candidate gene for EC. The relationship between CYP17 and EC has been reported in various ethnic groups; however, these studies have yielded contradictory results. To investigate this inconsistency, we performed a meta-analysis of 13 studies involving a total of 3,258 cases and 4,614 controls for -34T>C (rs743572) polymorphism of the CYP17 gene to evaluate the effect of CYP17 on genetic susceptibility for EC. An overall random effects odds ratio of 0.71 (95% confidence interval 0.58-0.88, P=0.001) was found under recessive genetic model. Stratified analysis based on ethnicity, sample size and Hardy-Weinberg equilibrium status was conducted to explore potential heterogeneity. This meta-analysis demonstrated that the C allele of -34T>C in CYP17 is a protective factor associated with decreased EC susceptibility, but these associations vary in different ethnic populations.

Indexed as

Genetic VariationEndometrial NeoplasmsEthnicityFemaleGenetic Predisposition to DiseaseHumansModels, GeneticOdds RatioPubMedSteroid 17-alpha-HydroxylaseSteroid 17-alpha-Hydroxylase

Identifiers

PMID23649771
OpenAlexW2011904032

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.