Evidence map›Paper›PMID 25649829›Full record

ReviewIranian journal of medical sciences2015

Association between the Functional Polymorphism of Vascular Endothelial Growth Factor Gene and Breast Cancer: A Meta-Analysis.

Juan Li, Yongjian Ju

Abstract readReview
In one paragraph

Review in Iranian journal of medical sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Juan LiDepartment of Radiotherapy, The Second Affiliated Hospital of Nantong University, Nantong University, Nantong 226001, Jiangsu Province, China.
Yongjian JuDepartment of Radiotherapy, The Second Affiliated Hospital of Nantong University, Nantong University, Nantong 226001, Jiangsu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The vascular endothelial growth factor (VEGF) gene single-nucleotide polymorphism involved in the regulation of the protein levels has been implicated in breast cancer. However, the published studies have produced contentious and controversial results. Herein, we performed a meta-analysis (from January to October 2013); to further evaluate the association between +936 C/T polymorphism and the risk of breast cancer. By searching the EMBASE, PubMed, and Web of Science databases, we identified a total of 12 case-control studies with 8,979 cancer patients and 9,180 healthy controls. The strength of the association was assessed using Odds Ratios (ORs) with 95% Confidence Intervals (CI). We found no evidence indicating that the allelic model or the genotype models of +936 C/T polymorphism were associated with the risk of breast cancer in total population (ORCC vs. TT=1.01, 95% CI=0.96-1.06, Ph=1.00; ORCC+CT vs. TT=1.00, 95% CI=0.96-1.05, Ph=1.00; ORCC vs. CT+TT=1.02, 95% CI=0.98-1.07, Ph=0.94; OR allele C vs. allele T=1.01, 95% CI=0.98-1.04, Ph=0.99; ORCT vs. TT=1.01, 95% CI=0.93-1.09, Ph=1.00). Such lack of association with breast cancer was also observed in subgroup analyses according to ethnicity as well as in the analysis by source of controls. In conclusion, this meta-analysis suggests that the functionally important +936 C/T polymorphism may not be associated with breast cancer risk. Larger well-designed studies with gene-to-gene and gene-to-environment interactions are clearly required to validate the results further.

Indexed as

Breast neoplasmsPolymorphismRiskVascular endothelial growth factor A

Identifiers

PMID25649829
PMCPMC4300476

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