Evidence map›Paper›PMID 24163083›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

The polymorphism of EGFR 142285G > A exerts no risk effect on breast cancer.

Qingcun Zheng, Ruiying Chen, Liqin Luan, Junrui Li, Suling Gao

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 3 institutions in 1 country.

Qingcun ZhengDepartment of General Surgery, Maternal and Child Health Hospital of Tangshan, Tangshan, Hebei, 063000, China.
Ruiying Chen
Liqin Luan
Junrui Li
Suling Gao
North China University of Science and Technology · CNLiaoning Provincial People's Hospital · CNSoutheast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between the epidermal growth factor receptor (EGFR) 142285G > A polymorphism and the susceptibility to breast cancer is unclear. We conducted a meta-analysis of all published studies to estimate the association of EGFR 142285G > A polymorphism and breast cancer risk. Systematic computerized searching of the PubMed, Web of Science, and Wanfang databases was performed for relevant publications. Overall, there were three eligible case-control studies with 1,360 cases and 1,522 controls included into our study. The pooled ORs showed that the EGFR 142285G > A variant genotypes did not increase or decrease the risk of breast cancer under the following gene models: A vs. G, OR = 1.07, 95% CI 0.96-1.19, P OR = 0.240; AA vs. GG, OR = 1.14, 95% CI 0.91-1.42, P OR = 0.239; GA vs. GG, OR = 0.99, 95% CI 0.83-1.17, P OR = 0.892; GA + AA vs. GG, OR = 1.03, 95% CI 0.87-1.21, P OR = 0.727; AA vs. GG + GA, OR = 1.17, 95% CI 0.97-1.42, P OR = 0.096. The between-study heterogeneity was not significant among all studies. The current meta-analysis showed no evidence for significant association between EGFR 142285G > A polymorphism and breast cancer risk. Subsequent studies with large sample size are needed for further elucidation.

Indexed as

Breast NeoplasmsCase-Control StudiesErbB ReceptorsFemaleGenetic Predisposition to DiseaseGenotypeHumansOdds RatioPolymorphism, Single NucleotideRisk FactorsEGFR protein, humanErbB Receptors

Identifiers

PMID24163083
OpenAlexW2001767397

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.