The results suggest these polymorphisms, especially rs1966265 and rs2981578, might be candidate pharmacogenomics factors to the response and prognosis prediction for individualized CET-based chemotherapy in breast cancer patients.
The association of the fibroblast growth factor receptor 2 gene (<i>FGFR2</i>) polymorphism rs2981582 with breast cancer has been extensively studied, whereas the role of this polymorphism in non-functioning pituitary adenoma (NFPA) has not been elucidated.
The SNPs of FGFR2 rs1219648 and PI3KCA rs6443624 may contribute to the identification of breast cancer patients at risk of more aggressive disease and may be potential prognostic factors in breast cancer in a Chinese population.
This meta-analysis of case-control studies provides strong evidence that fibroblast growth factor 2 (FGFR2; rs11200014, rs2981579, and rs1219648) polymorphisms are significantly associated with the BC risk.
This meta-analysis of case-control studies provides strong evidence that fibroblast growth factor 2 (FGFR2; rs11200014, rs2981579, and rs1219648) polymorphisms are significantly associated with the BC risk.
This study aims to determine the association between FGF10 (rs4415084 C>T), FGFR2 (rs2981582 C>T) and MAP3K1 (rs889312 A>C) gene polymorphisms and breast cancer, to analyse the discriminative ability of each SNP and to test the accuracy of the predictive breast cancer risk model which includes all SNPs.
This meta-analysis of case-control studies provides strong evidence that FGFR2 (rs2981582, rs2420946 and rs2981578) polymorphisms were significantly associated with the BC risk.
This meta-analysis of case-control studies provides strong evidence that FGFR2 (rs2981582, rs2420946 and rs2981578) polymorphisms were significantly associated with the BC risk.
This meta-analysis of case-control studies provides strong evidence that FGFR2 (rs2981582, rs2420946 and rs2981578) polymorphisms were significantly associated with the BC risk.
We first validated that the SNPs rs12922061, rs2290203, and rs2981578 were associated with overall breast cancer risk in southeast Chinese women, with the per-allele OR of 1.209 (95%CI: 1.064-1.372), 1.176 (95%CI: 1.048-1.320), and 0.852 (95%CI: 0.759-0.956), respectively.
Furthermore, there was an increased effect of BC risk between haplotype combinations of the two SNPs of FGFR2 (rs2981582 and rs1219648) in Pakistani women.
Furthermore, there was an increased effect of BC risk between haplotype combinations of the two SNPs of FGFR2 (rs2981582 and rs1219648) in Pakistani women.
We confirmed ten risk-associated variants within three reported breast cancer susceptibility loci in a Chinese Han population: 5q11.2 (rs16886181, P = 5.29 × 10(-6), OR = 1.19; rs1017226, P = 5.24 × 10(-4), OR = 1.22; rs16886034, P = 2.00 × 10(-3), OR = 1.21; rs16886113, P = 1.24 × 10(-3), OR = 1.20; rs16886364, P = 9.20 × 10(-4), OR = 1.21; rs16886397, P = 1.17 × 10(-3), OR = 1.20; rs16886448, P = 1.62 × 10(-3,)OR = 1.20; and rs2229882, P = 5.14 × 10(-4), OR = 1.31), 5q14.3 (rs421379, P = 2.83 × 10(-13), OR = 1.83), and 10q26.1 (rs35054928, P = 7.73 × 10(-6), OR = 1.18).
Our findings indicate that the GG genotype of rs12443621 is associated with increased breast cancer risk whereas the GA and AA genotypes of rs2981582 are reduced risk in Han Chinese population.
The genotype of rs2046210 (6q25.1), rs2981582 (EGFR2), rs889312 (MAP3K1), and rs3803662 (TOX3/TNRC9) has no statistical differences in different subtypes of breast cancer.
Significant associations with breast cancer risk were observed for rs2420946, rs2981579, and rs2981582 with OR (95% CI) per risk allele of 1.19 (1.03-1.39), 1.24 (1.07-1.43), and 1.17 (1.01-1.36), respectively.
Significant associations with breast cancer risk were observed for rs2420946, rs2981579, and rs2981582 with OR (95% CI) per risk allele of 1.19 (1.03-1.39), 1.24 (1.07-1.43), and 1.17 (1.01-1.36), respectively.
Exercise activity and FGFR2 rs2981582 were confirmed to be associated with breast cancer risk, and were found to significantly interact (P for multiplicative and additive interactions = 0.045 and 0.021, respectively).
Five of the 17 SNPs were significantly associated (P ≤ 0.05) with overall breast cancer in the same direction as previously reported: rs13387042 (2q35/TNP1), rs4973768 (3p24/SLC4A7), rs2046210 (6q25/ESR1), rs1219648 (10q26/FGFR2), and rs4784227 (16q12/TOX3).