1- Department of Biology, Faculty of Sciences, Arak University, Arak, Iran. , a-hamta@araku.ac.ir
2- Department of Biology, Faculty of Sciences, Arak University, Arak, Iran.
Abstract: (2088 Views)
Background and Aim: Breast cancer is the most common cancer type and the leading cause of cancer-induced deaths in women, worldwide. The Fibroblast Growth Factor Receptor 2 (FGFR2) is a tyrosine kinase receptor that plays an essential role in the growth, invasion, movement, and angiogenesis of tumor cells. Several single nucleotide polymorphisms have been found in the intron 2 of the FGFR2 gene, i.e., associated with a high risk of breast cancer. Genetic variation in this receptor is a new risk factor for breast cancer. The current study aimed to evaluate the association of single-nucleotide polymorphism rs2981582C/T in women with breast cancer.
Methods & Materials: In total, 80 women with breast cancer and 80 healthy women (controls) were selected from Markazi Province, Iran to participate in this research. Polymorphism rs2981582 was analyzed to investigate its association with breast cancer. DNA extraction from blood samples was performed using a kit. The presence of these single-nucleotide polymorphisms was determined by Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR - RFLP). Statistical analyses were performed by SPSS using Chi-squared test at P≤0.05.
Ethical Considerations: This study was approved by the Ethics Committee of the Arak University (Code: IR.ARAKMU.REC.1395.28).
Results: Significant differences were observed in the frequency of rs2981582 polymorphism in the FGFR2 gene between the control and patient groups (P=0.000). In the patient group, the TT genotype was significantly associated with the risk of breast cancer (P=0.001; OR=3.566). On the other hand, allele C indicated a protective role against the disease (P=0.000).
Conclusion: The obtained data revealed a significant relationship between rs2981582 C/T polymorphism and the risk of breast cancer; thus, this single-nucleotide polymorphism could be used as a biomarker to predict breast cancer.
Type of Study:
Original Atricle |
Subject:
Basic Sciences Received: 2019/01/26 | Accepted: 2020/09/8