Genetic Polymorphism of Mismatch Repair Genes and Susceptibility to Prostate Cancer.

PURPOSE: Mismatch repair (MMR) is one of the DNA repair systems that correct mispaired bases during DNA replication errors. Polymorphisms in genes can increase susceptibility to the development of prostate cancer (PCa). In this study, we investigated mutL homolog 1 (MLH1) -93G>A (rs1800734) and mutS homolog 3 (MSH3) (rs26279) polymorphisms with the risk of PCa. MATERIALS AND METHODS: In this study of Iranian population, 175 histopathologically confirmed (PCa) patients and 230 benign prostate hyperplasia (BPH) as the controls were recruited. The genotypes of MLH1 and MSH3 were determined by polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP) method. RESULTS: There was no significant difference of MLH1 (P = 0.4) and MSH3 (P?=?0.5) genotype distributions among PCa cases and controls. And also patients with PCa were not significant differences compared to those without in stage of cancer, grade of tumor, perineural invasion, and vascular invasion. CONCLUSION: Our results did not show adequate evidence for any significant association of MLH1 and MSH3 polymorphisms and PCa .

Correction to: Association of eNOS and ACE gene polymorphisms as a genetic risk factor in gestational diabetes in Iranian women.

[This corrects the article DOI: 10.1007/s40200-018-0348-4.].

Kallikarein-related peptidase 3 common genetic variant and the risk of prostate cancer.

Kallikarein-related peptidase 3 (KLK3) gene polymorphisms seem to play a role in susceptibility to prostate cancer (PC). The purpose of this study was to investigate the association between rs2735839 polymorphism of KLK3 gene and risk of PC in an Iranian population. In this case-control study, rs2735839 was genotyped in 532 patients with PC and 602 controls with benign prostate hyperplasia (BPH) using polymerase chain reaction-restriction fragment length polymorphism assay. The frequency of GG, AG, and AA genotypes of KLK3 polymorphism was 24.6% and 76.2%, 46.6% and 21.7%, and 28.8% and 2.1%, in patients with BPH and PC, respectively (P < 0.001). The frequency of G allele in patients with BPH and PC was 47.9% and 87%, respectively (odds ratio: 7.31; confidence interval: 5.88-9.10; P < 0.001). Patients with AG and GG genotypes had a higher total serum level of prostate-specific antigen (PSA) compared to those with AA genotype (P < 0.001). Patients with this polymorphism had higher risk of tumor with higher grade (P = 0.23), advanced stage (P = 0.11), perineural invasion (P = 0.07), and vascular invasion (P = 0.07) compared to those without it but this difference was not statistically significant. Based on our results, KLK3 gene polymorphism was associated with the risk of PC. Higher levels of PSA in the presence of KLK3 polymorphism in patients with PC indicated that rs2735839 polymorphism could be a risk factor for increased levels of PSA.

Association of eNOS and ACE gene polymorphisms as a genetic risk factor in gestational diabetes in Iranian women.

BACKGROUND: Gestational diabetes mellitus (GDM) is the most popular metabolic disease during pregnancy. The aim of the present study was to investigate any possible association between eNOS Glu298Asp and ACE I/D gene polymorphisms and the risk of GDM in a group of Iranian pregnant women. METHODS: In this case-control study 204 pregnant women were recruited (94 cases and 110 controls). Genomic DNA was isolated from whole blood and genotyping was performed by the Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR- RFLP) and only PCR for eNOS and ACE polymorphisms respectively. RESULTS: Frequencies of GT and TT genotype of eNOS polymorphism among women with and without GDM were 67.90% vs. 74.47 and 7.41% vs. 8.51% respectively (P = 0.4). Corresponding figures for DD genotype of ACE polymorphism among GDM patients was more than that in healthy women (51.65% vs. 63.81% respectively). Conversely, ACE heterozygote genotype was more common in diabetic women (35.16% vs. 26.67% respectively). Although these differences were not statistically significant (P = 0.2). CONCLUSIONS: Our study showed that there is no association between the presence of eNOS and ACE gene polymorphisms and developing gestational diabetes mellitus among pregnant women in our population. Further longitudinal and multicenter studies should be carried out to assess the exact metabolic effects of these polymorphisms.

Association between matrix metaloproteinases 2-1306C/T polymorphism and the risk of coronary artery disease in Iranian population.

BACKGROUND: Coronary Artery Disease (CAD) represents the most important cause of sudden cardiac death. Interaction between genetic and environmental factors, individual susceptibility of the development of CAD is one of the MMP2 genes. Genetic variants' dysfunction of the MMP2 gene associated with the risk of CAD. The aim of the present study is to assess possible association between risk of Coronary Artery Disease and MMP2-1306C/T polymorphism. METHODS: This case-control study contains a total number of 344 subjects, including 215 patients with CAD and 129 of controls. Genomic DNA was isolated from whole blood and genotyping was performed by the Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR- RFLP) method. RESULTS: This study reveals the result that about 3.5% of CAD patients had TT genotype while 30.4% of them had CT genotype. Corresponding figures for subjects without CAD were zero and 52.6% respectively. These differences were statistically significant (P=0.002). Frequencies of T allele among patients with and without CAD were 18.71% and 26.28% respectively (p=0.04). The odds ratio between T allele and CAD was 0.64 (p=0.055). we couldn't trace significant differences among alleles in Gensini score, Gesnsini score's median among patients carried out TT, CT and CC genotypes were 4, 2 and 2 respectively (p=0.3). CONCLUSIONS: Result of this study provides some evidences that the MMP2-1306 polymorphism can be associated with coronary artery disease. Further longitudinal studies including more sample sizes are required to confirm this protective effect.