The association of rs25487 of the XRCC1 gene and rs13181 of the ERCC2 gene polymorphisms with the ovarian cancer risk
Year: 2024
Type: article
Study design: Observational Study
Abstract: Ovarian cancer (OC) is the most lethal gynecological cancer worldwide. DNA damage plays an important role in cancer development, and the proteins encoded by XRCC1 and ERCC2 are important components of the DNA repair system. This study aimed to examine the relationship between the rs25487 XRCC1 and rs13181 ERCC2 polymorphisms and the risk of OC development in women from the Moscow region. DNA was isolated from the blood of 129 healthy donors and tissues and blood samples from 125 patients with OC and studied using real-time PCR. An increase in odds ratios (OR) was obtained for OC tissue and blood for both T (OR = 1.46, 95% confidence interval [CI] = 1.22-1.76, P = 0.00005), and for T/T of rs25487 XRCC1. The most significant OR values were found for the T/T genotype using the codominant model (OR = 2.11, 95% CI = 1.44-3.07, P = 0.00006) and dominant model (OR = 3.13, 95% CI = 1.44-6.79, P = 0.0025) for the pooled blood and tissue groups. For rs13181 ERCC2, differences were observed for the T/G genotype in OC tissues (OR = 0.69, 95% CI = 0.51-0.92, P = 0.011) in the codominant model. In this study, the association of allele T and genotypes of rs25487 XRCC1 and T/G of rs13181 ERCC2 with OC was shown. Our results indicate that these polymorphisms may be involved in the pathogenesis of OC and are promising for further studies on therapeutic applications in OC.
Source: Biomolecules and Biomedicine
Institutions: Russian Academy of Sciences, Ministry of Health of the Russian Federation, National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of the Russian Federation, Institute of Biochemical Physics NM Emanuel, Sechenov University, Federal Medical-Biological Agency, Research Institute of General Pathology and Pathophysiology, the Russian Academy of Medical Sciences, Yaroslav-the-Wise Novgorod State University
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: diamond
Award: G5511847506
OpenAlex ID: W4405366623
