Polymorphisms of the DNA Methyltransferase 1 Gene Predict Survival of Gastric Cancer Patients Receiving Tumorectomy

Association study of the polymorphisms rs2228611 of the DNMT1 gene and rs1569686 of the DNMT3B gene with bladder cancer development in a sample of the Algerian population

Bladder cancer (BC) is a multifactorial disease with a poorly understood main cause. In this study, we aimed to evaluate the effect of the polymorphisms rs2228611 of the DNMT1 gene and rs1569686 of the DNMT3B gene on the susceptibility to develop Bladder Cancer in the Algerian population. A case-control study design was adopted, with DNA samples of 114 BC patients and 123 healthy controls. We found that the rs2228611 of the DNMT1 gene was strongly associated with an increased risk of BC development under genetic models: Codominant AG vs. GG (OR=2.54, 95% CI=1.21-5.51, adj p=0.015) and dominant AA+AG vs. GG (OR=2.24, 95% CI=1.12-4.60, adj p=0.023). However, no statistically significant association was observed between the rs1569686 of the DNMT3B gene and the predisposition to BC. To the best of our knowledge, this is the first peer-reviewed study to evaluate the effect of the rs2228611 polymorphism on bladder cancer occurrence. Our results suggest that the rs2228611 might be a potential biomarker for BC development risk. Additional studies are needed to validate our findings.

Susceptibility of Genetic Variations in Methylation Pathway to Gastric Cancer

Background

DNA methylation in the CpG island is associated with gastric cancer, genetic variations residue in genes involved in methylation pathway could contribute to the occurrence of gastric cancer. Here, we investigated the association between DNMTs (DNMT1/DNMT3A/DNMT3B), MTHFR genetic variations and gastric cancer risk and patients' survival.

Patients and Methods

We recruited 490 gastric cancer patients and 488 age- and sex-matched healthy controls. The genotypes of the genetic variations were detected by a Mass-array platform. A commercial Helicobacter pylori (H. pylori) immunogold testing kit was used to determine the H. pylori infection.

Results

We found that carriers of DNMT1 rs2228612C allele was associated with decreased gastric cancer risk (CT vs. TT: adjusted OR = 0.70, 95% CI = 0.53-0.94, P = 0.02; CT/CC vs.TT: adjusted OR = 0.73, 95% CI = 0.56-0.96, P = 0.02). Further stratified analysis showed that DNMT1 rs2228612 CT/CC were associated with a decreased gastric cancer risk in the subgroups of age ≤64 years old (adjusted OR = 0.61, 95% CI = 0.41-0.90, P = 0.01), male (adjusted OR = 0.72, 95% CI = 0.53-0.98, P = 0.03), negative H. pylori infection (adjusted OR = 0.67, 95% CI = 0.45-0.98, P = 0.04), tumor stage T3-T4 (adjusted OR = 0.69, 95% CI = 0.51-0.92, P = 0.01), and non-gastric cardiac adenocarcinoma (NGCA) (adjusted OR = 0.72, 95% CI = 0.54-0.97, P = 0.03). However, none of the genetic variations of this study was associated with overall survival.

Conclusion

We concluded that the DNMT1 rs2228612C genotype is a protective factor for gastric cancer in Han Chinese population.

Association Between SNPs in the One-Carbon Metabolism Pathway and the Risk of Female Breast Cancer in a Chinese Population

Objective

The aim of this study is to assess the relationship between the single-nucleotide polymorphism (SNP) in the one-carbon metabolism pathway (MTR rs1805087; MTHFR rs1801133; ALDH1L1 rs2002287, rs2276731; DNMT1 rs16999593, rs2228611; DNMT3B rs2424908) and the risk of female breast cancer (BC) in a Chinese population.

Methods

A population-based case-control study was conducted, involving a total of 439 BC patients and 439 age-matched healthy controls. We adopted Sequence MASSarray to identify genotyping, and used immunohistochemistry (IHC) to test the expression of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor-2 (HER-2) in tumor tissue.

Results

We found that rs16999593 (TC/CC vs TT: adjusted OR=1.38, 95% CI: 1.03-1.84, p=0.030) was associated with an increased risk of BC, while rs2228611 was related to a decreased BC risk (GA/AA vs GG: adjusted OR=0.74, 95% CI: 0.56-0.97, p=0.030). In addition, stratified analysis revealed that DNMT1 rs16999593, rs2228611 and ALDH1L1 rs2002287 contributed to the risk of BC, with associations with ER, PR and HER-2 expression.

Conclusion

In summary, this study revealed that DNMT1 rs16999593 and rs2228611 were associated with BC risk.

Functional Analysis of DNMT1 SNPs (rs2228611 and rs2114724) Associated with Schizophrenia

A recent study showed the association of minor alleles of rs2228611 (T allele) and rs2114724 (T allele) of DNMT1 with schizophrenia (SZ) and suggested their effects on splicing of the transcripts. We performed a replication study using 310 controls and 304 SZ patients and confirmed the association of the homozygous minor allele genotypes with SZ (P = 0.04 for rs2114724 and P = 0.007 for rs2228611). This significant association persisted after Bonferroni correction when the previously published data of 301 controls and 325 patients were also considered (P ≤ 0.0002). In addition, we found that the proportion of male patients with homozygous minor alleles at rs2114724 was significantly higher than that of females (P = 0.002). When haplotype analysis of both loci was performed, we observed a significant association of T/T–T/T and T/T–C/T (P = 0.04) haplotypes with SZ. To gain insights into the functional effects of the two SNPs on the levels of DNMT1 transcripts, quantitative real-time PCR experiments were performed using peripheral blood monocytes from 10 individuals each with T/T–T/T (homozygous minor allele), C/T–C/T (heterozygous), and C/C–C/C (homozygous major allele) haplotypes. Independently, the levels of DNMT1 protein were also compared in three individuals each by immunofluorescence. These results suggest that neither DNMT1 transcript nor the protein levels were significantly different in the peripheral blood monocytes among the individuals studied for the three groups. Taken together, our results confirm that the two minor alleles in homozygosity are associated with SZ but with no discernible effects on transcript or protein levels of DNMT1 in the peripheral blood monocytes of the small number of samples tested.

Epigenetic Mechanisms in Gastric Cancer: Potential New Therapeutic Opportunities

Gastric cancer (GC) is one of the deadliest malignancies worldwide. Complex disease heterogeneity, late diagnosis, and suboptimal therapies result in the poor prognosis of patients. Besides genetic alterations and environmental factors, it has been demonstrated that alterations of the epigenetic machinery guide cancer onset and progression, representing a hallmark of gastric malignancies. Moreover, epigenetic mechanisms undergo an intricate crosstalk, and distinct epigenomic profiles can be shaped under different microenvironmental contexts. In this scenario, targeting epigenetic mechanisms could be an interesting therapeutic strategy to overcome gastric cancer heterogeneity, and the efforts conducted to date are delivering promising results. In this review, we summarize the key epigenetic events involved in gastric cancer development. We conclude with a discussion of new promising epigenetic strategies for gastric cancer treatment.

DNMT1 and DNMT3B genetic polymorphisms affect the clinical course and outcome of melanoma patients

The aberrant DNA methylation plays a critical role in a number of different malignancies, including melanoma. DNA methylation is catalyzed by DNA methyltransferases (DNMTs), involved in methylation maintenance (DNMT1) and de novo DNA methylation (DNMT3A and DNMT3B). The current study investigated the association of genetic variants in the DNMT1 and DNMT3B with the clinicopathologic features and the clinical course of melanoma patients. In the present study, DNMT1 (rs2228612, rs2228611, and rs2114724) and DNMT3B (rs406193 and rs2424932) polymorphisms were examined in 123 melanoma patients. Single nucleotide polymorphisms were assessed using TaqMan SNPs Genotyping Assays according to the manufacturer's protocols. The carriers of the variant genotype of DNMT1 rs2228612 had poorer overall survival and recurrence-free survival, (P = 0.000 and 0.000, respectively), and an increased risk for adverse outcome [hazard ratio (HR) = 6.620, 95% confidence interval (CI): 2.214-19.791, P = 0.001]. DNMT1 rs2228612 was also associated with ulceration (P = 0.045), nodal status (P = 0.030), progression (P = 0. 007), and stage of disease (P = 0.003). Univariate analysis indicated that tumor-infiltrating lymphocytes could be a marker of good prognosis in melanoma patients (HR = 0.323, 95% CI: 0.127-0.855, P = 0.025), whereas the genotype distribution of the DNMT3B rs406193 polymorphism correlated significantly with the presence of tumor-infiltrating lymphocytes (P = 0.012). The multivariate analysis showed that the DNMT1 rs2228612 polymorphism (HR = 12.126, 95% CI: 2.345-62.715, P = 0.003) is an independent predictor of poor overall survival in melanoma patients. As expected, disease progression was also found to be an independent prognostic factor in melanoma patients (HR = 37.888, 95% CI: 3.615-397.062, P = 0.002). DNMT1 rs2228612 was found to be an independent predictor of poor overall survival in melanoma patients. DNMTs polymorphisms could serve as a potential target for novel therapeutic approaches.

Genetic variants in RORA and DNMT1 associated with cutaneous melanoma survival

Cutaneous melanoma (CM) is considered as a steroid hormone-related malignancy. However, few studies have evaluated the roles of genetic variants encoding steroid hormone receptor genes and their related regulators (SHR-related genes) in CM-specific survival (CMSS). Here, we performed a pathway-based analysis to evaluate genetic variants of 191 SHR-related genes in 858 CMSS patients using a dataset from a genome-wide association study (GWAS) from The University of Texas MD Anderson Cancer Center (MDACC), and then validated the results in an additional dataset of 409 patients from the Harvard GWAS. Using multivariate Cox proportional hazards regression analysis, we identified three-independent SNPs (RORA rs782917 G > A, RORA rs17204952 C > T and DNMT1 rs7253062 G > A) as predictors of CMSS, with a variant-allele attributed hazards ratio (HR) and 95% confidence interval of 1.62 (1.25-2.09), 1.60 (1.20-2.13) and 1.52 (1.20-1.94), respectively. Combined analysis of risk genotypes of these three SNPs revealed a decreased CMSS in a dose-response manner as the number of risk genotypes increased (ptrend  < 0.001); however, no improvement in the prediction model was observed (area under the curve [AUC] = 79.6-80.8%, p = 0.656), when these risk genotypes were added to the model containing clinical variables. Our findings suggest that genetic variants of RORA and DNMT1 may be promising biomarkers for CMSS, but these results needed to be validated in future larger studies.

Polymorphism of the DNA methyltransferase 1 gene is associated with the susceptibility to essential hypertension in male

Essential hypertension is a leading global public health issue, billions of people suffered from it every year. Recently, multiple evidence suggests that DNA methylation play an important role in regulating blood pressure. Here, we tested the risk for essential hypertension conferred by single nucleotide polymorphisms (SNPs) within DNA methyltransferase 1 (DNMT1). Three loci (rs2228611, rs2228612, and rs16999593) were selected to be analyzed in 3410 cases and 1307 normal controls in southern Chinese aged 60 or above. No significant association with essential hypertension was observed for rs2228612 and rs16999593. A higher risk of essential hypertension was found in the minor A allele of rs2228611 in the codominant and recessive model (P < 0.05). After stratified by sex, this association was found in male but not female. Furthermore, this difference was abolished after BMI adjustment in the whole population and reduced in male. In addition, the mutation rate of rs2228611 was higher in the obesity group compared with the normal weight group of male. Intriguingly, rs2228611 was also a risk factor of essential hypertension in normal weight male. These findings indicated that rs2228611 might contribute to male hypertension via BMI-dependent mechanisms in obesity male and BMI-independent mechanisms in normal weight male.

Das Tumorepigenom – von der Genregulation über die Tumorklassifikation zum Therapietarget

Epigenetische Regulationsmechanismen sind essenziell für den koordinierten Ablauf zahlreicher zellulärer Prozesse wie die Differenzierung und Entwicklung oder auch die Anpassung der Genaktivität an die herrschenden Umweltbedingungen. Insbesondere Tumorerkrankungen gehen mit oftmals umfangreichen Alterationen im Epigenom einher. Diese Veränderungen sind dabei vielfach charakteristisch entweder für die Tumorentität, das Stadium der Erkrankung oder aber das klinische Ansprechen des Tumors auf eine Therapie und damit die individuelle Prognose des Patienten. Nach einer kurzen Darstellung epigenetischer Marker und ihrer Bedeutung bei malignen Erkrankungen werden in diesem Artikel Alterationen im Tumorepigenom und ihre Nutzbarkeit im Rahmen einer individualisierten Medizin exemplarisch vorgestellt.

DNMT1, DNMT3A and DNMT3B Polymorphisms Associated With Gastric Cancer Risk: A Systematic Review and Meta-analysis

BACKGROUND

Increasing studies showed that abnormal changes in single nucleotide polymorphisms (SNPs) of DNMTs (DNMT1, DNMT3A and DNMT3B) were associated with occurrence or decrease of various tumors. However, the associations between DNMTs variations and gastric cancer (GC) risk were still conflicting. We aimed to assess the effect of DNMTs polymorphisms on the susceptibility to GC.

METHODS

Firstly, we did a meta-analysis for 7 SNPs (rs16999593, rs2228611, rs8101866 in DNMT1, rs1550117, rs13420827 in DNMT3A, rs1569686, rs2424913 in DNMT3B). Four genetic models (homozygote, heterozygote, dominant and recessive model) were used. Moreover, a meta-sensitivity and subgroup analysis was performed to clarify heterogeneity source. Lastly, 17 SNPs that couldn't be meta-analyzed were presented in a systematic review.

FINDINGS

20 studies were included, 13 studies could be meta-analyzed and 7 ones could not. Firstly, a meta-analysis on 13 studies (3959 GC cases and 5992 controls) for 7 SNPs showed that GC risk increased in rs16999593 (heterozygote model: OR 1.36, 95%CI 1.14-1.61; dominant model: OR 1.36, 95%CI 1.15-1.60) and rs1550117 (homozygote model: OR 2.03, 95%CI 1.38-3.00; dominant model: OR 1.20, 95%CI 1.01-1.42; recessive model: OR 1.96, 95%CI 1.33-2.89) but decreased in rs1569686 (dominant model: OR 0.74, 95%CI 0.61-0.90). The remaining SNPs were not found associated with GC risk. Furthermore, the subgroup analysis indicated that for rs1550117 and rs1569686, the significant associations were particularly found in people from Chinese Jiangsu province (rs1550117, OR 1.77, 95%CI 1.25-2.51; rs1569686, OR 0.48, 95%CI 0.36-0.64) and that PCR-RFLP was a sensitive method to discover significant associations (rs1550117, OR 1.77, 95%CI 1.25-2.51; rs1569686, OR 0.49, 95%CI 0.37-0.65). Lastly, a systematic review on 7 studies for 17 SNPs suggested that rs36012910, rs7560488 and rs6087990 might have a potential effect on GC initiation.

CONCLUSION

This meta-analysis demonstrated that rs16999593 and rs1550117 could contribute to GC risk and that rs1569686 might be a protective factor against gastric carcinogenesis. By using these SNPs as biomarkers, it is feasible to estimate the risk of acquiring GC and thus formulate timely preventive strategy.