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Meta-Analysis
. 2019 Oct;47(10):4753-4763.
doi: 10.1177/0300060519869058. Epub 2019 Aug 26.

Correlation of FGFR2 rs2981582 polymorphisms with susceptibility to breast cancer: a case-control study in a Chinese population

Jin Shu  1 , Xuelian Hui  1 , Xin Zheng  1 , Juan Zhao  1 , Zhaochen Xu  2 , Yingpu Chen  2 , Chao Lu  2 , Junling Li  1
Affiliations
Meta-Analysis

Correlation of FGFR2 rs2981582 polymorphisms with susceptibility to breast cancer: a case-control study in a Chinese population

Jin Shu et al. J Int Med Res. 2019 Oct.

Abstract

Objective: Breast cancer (BC) is a common malignancy among women worldwide. Fibroblast growth factor receptor 2 (FGFR2) rs2981582 is reported to play a vital role in BC development. However, the relationship between them remains unclear.

Methods: Ninety-five patients and 140 healthy controls were enrolled in the study. Plasma DNA was genotyped by the MassARRAY method. A meta-analysis was conducted to clarify the effect of FGFR2 polymorphism on BC risk.

Results: Our case-control study results revealed a significant difference in CC, TC, and TT genotypes between patients and controls. Logistic regression analysis showed that TT and TC genotype and the dominant mode were significantly correlated with BC development [odds ratio (OR) = 1.21, 95% confidence interval (CI): 1.050–2.27; OR = 1.81, 95% CI: 1.24–2.73; OR = 2.15, 95% CI: 1.25–5.31, respectively], even after adjusting for age, body weight, drinking, smoking, and estrogen receptor status. A meta-analysis of 15 studies showed significant differences among the dominant, recessive, heterozygote, and homozygote models between patients and controls.

Conclusions: Our results showed an association of FGFR2 rs2981582 polymorphism with BC in an Asian population. However, a more comprehensive study of the relationship between the polymorphism and BC is still needed.

Keywords: Breast cancer; FGFR2; fibroblast growth factor receptor 2; meta-analysis; polymorphism; rs2981582.

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Figures

Figure 1.
Figure 1.
Flow sheet summarizing identification and selection of studies.
Figure 2.
Figure 2.
The publication bias examined by Begg’s test in the dominant model (TC + TT vs. CC).
Figure 3.
Figure 3.
Sensitivity analysis of the association between FGFR2 rs2981582 polymorphism and breast cancer susceptibility in the dominant model (TC + TT vs. CC).
Figure 4.
Figure 4.
Forest plot of FGFR2 rs2981582 polymorphism and breast cancer susceptibility. (a) Dominant model (TC + TT vs. CC); (b) recessive model (TT vs. TC + CC); (c) heterogeneity model (TC vs. CC); and (d) homozygote model (TT vs. CC).
See this image and copyright information in PMC

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