The relationship of E-selectin singlenucleotide polymorphisms with breast cancer in Iraqi Arab women
- Author:
Bilal Fadıl ZAKARIYA
1
;
Asmaa M. Salih ALMOHAIDI
;
Seçil Akıllı ŞIMŞEK
;
Safaa A. AL-WAYSI
;
Wijdan H. AL-DABBAGH
;
Areege Mustafa KAMAL
Author Information
- Publication Type:Original article
- From:Genomics & Informatics 2022;20(4):e42-
- CountryRepublic of Korea
- Language:English
- Abstract: Breast cancer (BC) is a significant threat to female health, with both modifiable andnon-modifiable risk factors. It is essential to monitor patients regularly and to raise population awareness. Increasing research also suggests that E-selectin (SELE) may increase tumor angiogenesis and the development of cancer. This study investigated SELE single-nucleotide polymorphisms (SNPs) in the following positions: rs5367T/C, rs5368C/T, rs5362T/G,and rs5362T/C. Using polymerase chain reaction, significant differences in allele and genotype frequencies were found between BC patients and controls. Position rs5368 was associated with an increased risk of BC for the CT and TT genotypes, with odds ratios (ORs) of16.3 and 6.90 (Fisher probability = 0.0001, p = 0.005). Women with the T allele had a 19.3-fold higher incidence of BC, while allele C may be a protective allele against BC (OR, 0.05).Heterozygous genotypes at rs5367, rs5362, and rs5362 were significantly more common inBC patients, with ORs of 5.70, 4.50, and 3.80, respectively. These SNPs may be associatedwith the risk of BC, because the frequency of mutant alleles was significantly higher in patients (OR: 4.26, 3.83, and 4.30, respectively) than in controls (OR: 0.23, 0.30, and 0.20, respectively). These SNPs may be considered a common genotype in the Iraqi population,with the wild-type allele having a protective fraction and the mutant allele having an environmental fraction. The results also revealed a 2-fold increase in gene expression in BCpatients compared to controls, with a significant effect (p = 0.017). This study's findingsconfirm the importance of SELE polymorphisms in cancer risk prediction.
