Association of FGFR2 and PI3KCA genetic variants with the risk of breast cancer in a Chinese population
Authors Wang Y, Zhang H, Lin M, Wang Y
Received 31 January 2018
Accepted for publication 14 March 2018
Published 21 May 2018 Volume 2018:10 Pages 1305—1311
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 3
Editor who approved publication: Dr Leylah Drusbosky
Yang Wang,1,2 Haiyu Zhang,3 Mingzhen Lin,2 Yongsheng Wang4,5
1Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong, China; 2Department of Galactophore Surgery, Weifang People’s Hospital, Weifang, Shandong, China; 3Department of Antenatal Diagnosis, Weifang People’s Hospital, Weifang, Shandong, China; 4Breast Cancer Center, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong, China; 5Shandong Academy of Medical Sciences, Jinan, Shandong, China
Purpose: Genome-wide association studies have found plenty of single nucleotide polymorphisms (SNPs) which are associated with breast cancer risk. SNPs in FGFR2 are mostly identified. However, the association between PI3KCA SNP and breast cancer risk remains largely unknown. The aim of this study was to investigate the significance of FGFR2 and PI3KCA genetic variants in breast cancer and their association with prognosis.
Methods: We performed genotyping of 328 breast cancer patients and 389 healthy controls. Then, we evaluated the associations of FGFR2 rs1219648 and PI3KCA rs6443624 with the susceptibility and clinicopathological features of breast cancer. Kaplan-Meier curve with log-rank test was performed to determine the prognostic values of FGFR2 rs1219648 and PI3KCA rs6443624.
Results: The results indicated that genotype frequencies of rs1219648 and rs6443624 were significantly different between breast cancer patients and healthy controls. Furthermore, PI3KCA rs6443624 A carriers and FGFR2 rs1219648 G carriers more frequently had advanced stages and shorter survival times.
Conclusion: 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.
Keywords: rs1219648, rs6443624, breast cancer, prognosis
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