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- Title
Investigation of PD-1 gene variants in patients with endometrial cancer: A case-control study.
- Authors
Fattahi, Mohammad Javad; Momtahan, Mozhdeh; Poostkar, Maryam; Shiravani, Zahra; Erfani, Nasrollah; Haghshenas, Mohammad Reza; Hashemi, Masoumeh; Ghaderi, Abbas; Kashkooe, Ali
- Abstract
Objective: To assess the possible association of two single-nucleotide polymorphisms (SNPs), PD-1.3 (+7146G/A) and PD-1.5 (+7785C/T), with endometrial cancer (EC) susceptibility. In addition, the correlations between these SNPs and available clinicopathologic characteristics of patients with EC were investigated. Materials and Methods: In this case-control study, 147 women with pathologically confirmed EC and 258 age- and ethnically matched healthy women were enrolled between June 2019 and May 2022. Genomic DNA was extracted, and genotyping of PD-1.3 (+7146G/A) and PD-1.5 (+7785C/T) SNPs was performed. Haplotype analysis was also performed. Pearson's chi-square test with Yates correction was used to evaluate differences in allele and genotype distributions. The 95% confidence interval and odds ratio were determined using an unconditional logistic regression model. Results: There were no remarkable differences in the allele and genotype distributions of PD-1.3 (rs11568821) and PD-1.5 (rs2227981) between healthy controls and EC patients. However, there was a remarkable difference in the AC haplotype between the control and EC groups. No association was found between the investigated SNPs and the clinicopathologic features of EC. Conclusion: Our results indicated that the aforementioned SNPs were not related to the risk of EC in the southern Iranian population.
- Subjects
IRAN; RISK assessment; PEARSON correlation (Statistics); ADENOCARCINOMA; DATA analysis; PROGRAMMED death-ligand 1; LOGISTIC regression analysis; POLYMERASE chain reaction; HYPERTENSION; CHI-squared test; HOSPITALS; DESCRIPTIVE statistics; GENETIC variation; ENDOMETRIAL tumors; ODDS ratio; STATISTICS; CASE-control method; DISEASE susceptibility; CONFIDENCE intervals; DATA analysis software; IRANIANS; ELECTROPHORESIS; SINGLE nucleotide polymorphisms; GENETIC profile; ALLELES; DIABETES; HAPLOTYPES; GENOTYPES; MOLECULAR pathology; DISEASE risk factors; SYMPTOMS
- Publication
Turkish Journal of Obstetrics & Gynecology, 2024, Vol 21, Issue 2, p57
- ISSN
2149-9322
- Publication type
Article
- DOI
10.4274/tjod.galenos.2024.71508