Literature DB >> 28353639

Influence of MTHFR Genetic Background on p16 and MGMT Methylation in Oral Squamous Cell Cancer.

Nadia Ferlazzo1, Monica Currò2, Angelo Zinellu3, Daniela Caccamo4, Gaetano Isola5, Valeria Ventura6, Ciriaco Carru7,8, Giovanni Matarese9, Riccardo Ientile10.   

Abstract

Genetic polymorphisms of the methylenetetrahydrofolate reductase (MTHFR) enzyme may influence DNA methylation. Alterations in DNA methylation patterns of genes involved in the regulation of the cell cycle, DNA repair, cell adherence and metastasis process are known to contribute to cancer development. In this study, the influence of the MTHFR C677T and A1298C gene polymorphisms on global DNA methylation and site-specific methylation on p16 and O⁶-methylguanine-DNA methyltransferase (MGMT) gene promoters was investigated in patients with oral squamous cell cancer (OSCC). To this aim, methylation studies were carried out by using genomic DNA isolated from saliva samples of 58 OSCC patients and 90 healthy controls. The frequency of the CT/AC and TT/AA genotypes was significantly higher in patients than in controls. Whereas no difference in global DNA methylation levels was observed between patients and controls, a higher frequency of methylation at both p16 and MGMT gene promoters was detected in patients compared with controls. A significant association between MTHFR gene polymorphisms and p16 and MGMT gene promoter methylation was found. The frequency of p16 and MGMT methylation was around 60% in patients with either the CT/AC or TT/AA genotype. Our results suggest that hypermethylation of cancer-related genes may be affected by MTHFR polymorphisms.

Entities:  

Keywords:  MGMT promoter methylation; MTHFR polymorphisms; global DNA methylation; oral squamous cell cancer; p16 promoter methylation

Mesh:

Substances:

Year:  2017        PMID: 28353639      PMCID: PMC5412310          DOI: 10.3390/ijms18040724

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


1. Introduction

Head and neck cancer (HNC), representing the sixth most common cancer worldwide [1,2], encompasses a heterogeneous group of aggressive epithelial malignancies, more than 90% of which are squamous cell carcinomas (SCC). Oral SCC (OSCC) is one of the most common types of HNC, with a considerable incidence of new cases every year. OSCC more frequently affects men than women (M:F = 2:1). The probability of developing OSCC increases with the period of exposure to risk factors, represented by a diet low in fresh fruits and vegetables, poor vitamin intake, alcohol consumption, and abuse of tobacco smoking [3,4]. Moreover, infection with high-risk human papillomavirus genotypes has also recently been implicated in the etiopathogenesis of OSCC [5]. In recent years, hereditary factors as well as age-related mutagenic and epigenetic changes have been involved in the development of OSCC [6,7]. Epidemiological studies have shown that deficiency of specific nutrients, such as folate, may increase the risk of OSCC [8,9]. Folate is a key source of the one-carbon group used for DNA methylation, the most important form of epigenetic modification, which consists of the addition of one methyl group on a cytosine that precedes a guanine, so-called CpG dinucleotides, and is critical for normal genome regulation and development [10,11]. Global hypomethylation in genomic DNA as well as hypermethylation in specific gene promoters are common features occurring in cancers [12]. Reduced levels of global DNA methylation provoke genomic instability and thus promote carcinogenesis, while promoter hypermethylation usually results in transcriptional gene inactivation [13]. The DNA methylation status and individual susceptibility to cancers could be related to changes in the activities of folate metabolism enzymes derived by genetic polymorphisms. In this regard, it has been shown that gene polymorphisms of the enzyme 5,10-methylenetetrahydrofolate reductase (MTHFR) affect the levels of available endogenous folates. MTHFR catalyzes the reduction of 5,10-methylenetetrahydrofolate to 5-methyltetrahydrofolate, the methyl group donor for homocysteine remethylation to methionine, which in turn is converted to S-adenosyl-l-methionine (SAM), the main donor of methyl groups in different methylation reactions [14]. MTHFR activity may be affected by two common single-nucleotide substitutions resulting in amino acid changes, namely C677T (Ala222Val) and A1298C (Glu429Ala), and can vary significantly between different individuals [15,16,17]. The MTHFR C677T polymorphism affects the enzyme’s thermal stability, resulting in the reduced activity of this enzyme [14]. TT677 individuals exhibit about a 50% reduction in enzyme activity and have increased plasma homocysteine concentrations as well as an altered balance of folate metabolites [16,18]. The A1298C polymorphism affects enzyme function to a lesser degree [18,19], but when accompanied by the C677T polymorphism has a more powerful effect on the decrease of MTHFR enzyme activity [20]. Although several studies investigated the influence of MTHFR polymorphisms on aberrant DNA methylation, to date inconsistent data are available [21]. Previous studies demonstrated that the MTHFR C677T polymorphism influences global DNA methylation status through an interaction with the folate status [22,23]. On the other hand, the study of de Arruda and collaborators [24] showed no significant effects of the MTHFR C677T polymorphism on the global DNA methylation of oral epithelial cells obtained from healthy subjects. p16 and MGMT are important genes coding for proteins that play significant roles in carcinogenesis. p16, a cyclin-dependent kinase-4 inhibitor, is a tumor suppressor protein and the MGMT gene encodes O-6-methylguanine-DNA methyltransferase, an enzyme involved in DNA repair. One of the mechanisms leading to their inactivation is the aberrant hypermethylation of their promoter regions. p16 is hypermethylated across many tumor types including colorectal, lung, and breast carcinomas [25]. The aim of this study was to assess the influence of the MTHFR C677T and A1298C polymorphisms on global DNA methylation and site-specific methylation of p16 and MGMT gene promoters in a cohort of patients with OSCC compared with healthy subjects.

2. Results

Genotyping of patients and controls for MTHFR C677T and A1298C gene polymorphisms showed that the observed and expected genotype frequencies were in Hardy–Weinberg equilibrium in both groups (C677T: p = 0.16 for patients, p = 0.37 for controls; A1298C, p = 0.032 for patients, p = 0.06 for controls). The frequency of the T677 mutated allele was significantly higher in patients than in controls (0.6 vs. 0.38, p = 0.00015), while the frequency of the MTHFR C1298 mutated allele was similar between cases and controls (0.23 vs. 0.28). In particular, the TT677 genotype was significantly more frequent in patients than in control subjects (31% vs. 16.6%, p = 0.04), while the CT677 genotype frequency only tended to be significantly higher in patients than in controls (58.6% vs. 42.2%, p = 0.064). The CC677 wild-type genotype was significantly less frequent in patients than in control subjects (10.4% vs. 41.1%, p < 0.0001). No significant differences were found in the genotype distribution for the MTHFR A1298C polymorphism between the two groups. The wild-type AA1298 genotype was the most frequent both in patients and controls, accounting for more than half the population (55% vs. 63.3%, p = 0.39). The AC1298 heterozygous genotype was present in around one-third of the recruited patients and controls (34.6% vs. 27.7%, p = 0.46), while the CC1298 homozygous was mutated only in around 10% of the recruited subjects (10.3% vs. 7.7%, p = 0.78). The distribution of MTHFR genotypes in OSCC patients and healthy subjects is shown in Table 1. Interestingly, the CT/AC and TT/AA genotypes were found to have similar frequencies, and to be significantly more prevalent in cases than in controls. The CC/CC and CT/AA genotypes had a similar distribution in the two groups, while the CC/AA and CC/AC genotypes were not found among cases.
Table 1

Distribution of MTHFR genotypes in OSCC patients and healthy subjects.

GenotypeCases (n = 58) (%)Controls (n = 90) (%)p
CC/AA-21 (23.3)<0.0001
CC/AC-8 (8.8)0.019
CC/CC6 (10.3)8 (8.8)0.76
CT/AA14 (24)21 (23.3)0.9
CT/AC20 (34.5)17 (18.8)0.032
TT/AA18 (31)15 (16.6)0.04
We next examined the DNA global and site-specific methylation status in patients and control subjects. No significant differences between patients and controls were found with regard to the total content of methylated cytosines (3.61% vs. 3.43%, p > 0.05). Instead, the analysis of site-specific methylation revealed that about half of cases exhibited either a p16 or MGMT promoter region methylated with a significantly higher frequency in comparison to the controls (44.8% vs. 13.4%, p < 0.0001). The promoter region of the MGMT gene was methylated in a higher number of patients in comparison with that of the p16 gene (Table 2).
Table 2

Analysis of site-specific methylation on p16 and MGMT promoter regions in OSCC patients and controls.

GeneCases (n = 58) (%)Controls (n = 90) (%)pOdds Ratio (95% CI)
p1610 (17.2)5 (5.6)0.0273.54 (1.143–10.97)
MGMT16 (27.6)7 (7.8)0.0024.52 (1.72–11.83)
p16 + MGMT12 (20.7)-<0.000148.66 (2.82–840.7)
The methylation of either the p16 or MGMT promoter region was associated with a little over a three-/four-fold increase of risk for OSCC, as shown by the odds ratio (OR) calculation (Table 2). Notably, the methylation on the both p16 and MGMT promoter regions was not observed among healthy subjects, while it was present in one-fifth of patients, and was associated with an increase of around 50-fold for OSCC; however, this latter result has to be considered with caution given the large interval size (Table 2). We also evaluated whether the MTHFR genotype would affect the DNA methylation status in OSCC patients. Given the relatively small size of the six groups, including individuals with the same MTHFR genotype, we decided to put in one group, N (normal), 20 patients with the MTHFR CC/AA, CC/AC, CC/CC, and CT/AA genotypes, and in a second group, R (risk), 38 patients with the CT/AC and TT/AA genotype, which are known to be genetic determinants for alterations of MTHFR enzyme activity. After stratification of patients based on the MTHFR genotype, no significant differences were observed for global DNA methylation between the two groups. The mean content of methylated cytosine was about 3.6% in both groups. Interestingly, the analysis of gene-specific methylation showed that the frequency of p16 methylation was significantly higher in group R (22/38 subjects, 57.9%) than in group N where it was not observed (20/20 unmethylated subjects) (Table 3). Similarly, the frequency of MGMT methylation in group R (22/38 subjects, 57.9%) was higher in comparison to group N (6/20 subjects, 30%), even if this difference only tended to statistical significance (57.9% vs. 30%, p = 0.056) (Table 3).
Table 3

Analysis of the influence of the MTHFR genotype on either p16 gene promoter methylation or MGMT promoter methylation in OSCC patients.

MTHFR Genotype
NormalRiskp
p16 methylated0 (0%)22 (57.9%)<0.0001
MGMT methylated6 (30%)22 (57.9%)0.056

3. Discussion

Several studies suggested that aberrant methylation of DNA has an important role in the development of several cancers, such as colorectal cancer, renal cancer and esophageal squamous cell cancer [26,27,28]. Researchers have proved that DNA methylation is related to age, diet, and other environmental factors [29,30,31]. In addition, the individual genetic background can affect the methylation status of DNA. Folate metabolism enzymes, such as MTHFR, methionine synthase and thymidylate synthase, are involved in the methylation process of DNA, and alterations in their activities could be a potential link between one-carbon metabolism and cancer development [32,33]. The association of the MTHFR C677T polymorphism with the risk for the development of several human cancers has been reported [34,35], although findings on its role in head/neck and oral cancer risk are inconsistent [36]. Indeed, the MTHFR C677T polymorphism, having major effects on MTHFR enzyme activity, was associated with an increase of oral cancer risk [37], while other studies showed a decreased risk for HNSCC and oral squamous cell carcinomas (OSCC) [38,39]. In our study, we observed that the presence of the T677 mutated allele was significantly higher in HNC patients, indicating that this polymorphism may play a role in oral cancer carcinogenesis. The role of the MTHFR A1298C polymorphism in cancer risk is less investigated, and in certain cancers it seems to play a protective function [40]. In our study the distribution of the C1298 mutated allele was similar between patients and control subjects, even if individuals bearing the C allele, namely those having the CC/AC and CT/AC genotypes, accounted for about 45%, while these same MTHFR genotypes were present only in 35% of controls. However, these differences were not significant. Interestingly, the frequency of the CT/AC genotype was higher than that of TT/AA (34.5% vs. 31%). The frequencies of these latter genotypes were significantly higher in patients than in controls. Noteworthy, among patients there were no subjects carrying the wild-type genotype for both polymorphisms (CC/AA). Although further studies should be carried out to better clarify the involvement of MTHFR polymorphisms, these data suggest the possible involvement of MTHFR C677T and A1298C in cancer development. To characterize the functional mechanism by which MTHFR polymorphisms may contribute to the development of OSCC in relation to the DNA methylation status, we also investigated the impact of these polymorphisms on both global and site-specific DNA methylation. Conflicting results on global DNA hypomethylation and the risk of cancer have been reported. Studies investigating DNA methylation alterations in HNC tissues showed the loss of global DNA methylation when compared to their matched normal adjacent tissues [41,42,43]. Instead, although some studies found a relationship between decreased global methylation in blood samples and cancer development [44], other studies stated that the methylation levels in tumor- and blood-derived DNA were independent [42]. This suggests that the evaluation of global DNA methylation in the cancer tissue may be more relevant for risk assessment. Interestingly, Subbalekha and collaborators [45] described similar hypomethylation levels in cells collected from oral rinses and OSCC tissues. In line with this observation, in our study we evaluated DNA methylation in saliva, a proxy tissue that may be useful as a biological matrix to identify subjects with a high risk of cancer development in a non-invasive manner. Saliva samples were collected prior to intervention to obtain methylation data referring to cancer tissues rather than the general individual methylation status. However, the global DNA methylation content was similar in saliva samples obtained from patients and control subjects, and was not affected by the MTHFR genotypes. Usually, LINE-1 hypomethylation measurements, which estimate a limited part of the genome, are employed to evaluate global DNA methylation. In our study, we used the capillary electrophoresis method which is able to detect the methylation of the whole genome, giving a more accurate evaluation than LINE-1 methylation. However, a limitation of this study is that the levels of cancer-specific methylation reported here may be underestimated due to the inability to distinguish the signal coming from the small percentage of tumor cells in saliva samples. Of note, significant differences were observed when evaluating site-specific methylation on the p16 and MGMT promoter regions. Promoter hypermethylation in the major genes involved in cell cycle, DNA damage repair, and cancer-related signaling pathways has been extensively studied in human cancers, including ESCC [46,47,48]. Among cell cycle–related genes, p16 negatively regulates the G1-S transition in the cell cycle and has been found frequently methylated in precursor lesions of the esophagus, and thus p16 function inactivation by hypermethylation is believed to be involved in the early stages of esophageal carcinogenesis [49]. Also the loss of function of DNA repair genes is associated with genomic instability and carcinogenesis. Although up to 130 genes are associated with DNA repair [50], MGMT is the major gene in the pathway of DNA repair and has been frequently found to be silenced by CpG island hypermethylation in many cancers, including esophageal adenocarcinoma [51]. Our study showed a higher frequency of p16 and MGMT promoter methylation in patients diagnosed with OSCC than normal controls. About 50% of cases showed methylation of at least one gene and one-fifth had both p16 and MGMT gene promoters methylated. In contrast, the concomitant methylation of p16 and MGMT gene promoters was not observed in the controls. Overall, these results corroborate the concept that DNA methylation plays a major role in oral cancer development. Recently, there has been growing interest to identify factors that can affect the patterns of DNA methylation. The MTHFR is an important enzyme in the one-carbon metabolism pathway that regulates the availability of methyl groups for methylation reactions, and several experimental and epidemiologic studies showed that the MTHFR C677T polymorphism may influence the DNA methylation status [21,23,52]. It has been shown that patients with the MTHFR TT677 genotype have a high risk of DNA hypermethylation in cancer tissues. However, only few studies carried out on a Chinese population evaluated the association of the MTHFR C677T polymorphism with aberrant CpG island hypermethylation of cancer-related genes, such as p16 and MGMT, in patients with HNC. The authors showed that the aberrant hypermethylation of p16, MGMT, and hMLH1 promoter genes was associated with the clinical characteristics of esophageal squamous cell cancer, and individuals carrying the MTHFR CT677 or TT677 genotype had a higher frequency of hypermethylation in the MGMT gene in cancer tissues [21,53]. On the other hand, another study failed to find a relationship between aberrant DNA methylation of genes, such as p16, MGMT and hMLH1, and the MTHFR C677T polymorphism in ESCC [28]. The discrepancy of these results might be due to the study design, the source of subjects and the sample size. Most importantly, these studies did not take into account the synergistic effects of the two MTHFR C677T and A1298C gene polymorphisms. Indeed, to our knowledge, this is the first study evaluating the effects of MTHFR genotypes at genetic loci C677T and A1298C on p16 and MGMT gene promoter methylation in OSCC. Interestingly, we found that the p16 gene promoter was methylated in around 60% of patients having either the CT/AC or TT/AA genotype, while it was unmethylated in patients having either the MTHFR CC/AA, or CC/AC, or CC/CC, or CT/AA genotype, and this difference was highly significant. The frequency of MGMT promoter methylation was also found to be higher, but not statistically significant, in patients with the CT/AC and TT/AA genotypes. The lack of significance for MGMT could be due to the small sample size analyzed. Overall, our findings suggest that the MTHFR polymorphisms may have an important role in OSCC carcinogenesis, probably due to their influence on gene-specific methylation processes. The potential mechanism by which a reduction in MTHFR activity induced by C677T and A1298C polymorphisms may affect site-specific methylation has not been investigated yet. It has been previously hypothesized that some genes could have different dosage sensitivity to alterations in methyl-donor availability in comparison to others, and the dosage sensitivity could also be dependent on the tissue type and gene-environment interactions [54]. However, further studies on a larger population also evaluating other possible factors acting on the one-carbon metabolism, such as the folate levels, are needed for a more extensive understanding of the regulation of the methylation process by MTHFR polymorphisms. In addition, given the small sample size, we could not make any association with the tumor staging. Even if similar previous studies have documented the association of MTHFR polymorphism and gene promoter hypermethylation, the novelty of the present study is the use of salivary samples to obtain data. In fact, based on the recently developed molecular detection methods, circulating tumor DNA can now easily be extracted from serum, plasma, saliva, broncho-alveolar lavage fluid, and urine [55]. Moreover, given that DNA methylation has been reported as an early event during carcinogenesis, and can be detected in different body fluids, the assessment of the DNA methylation status may represent a powerful diagnostic approach for cancer early detection [56]. Therefore, the use of simple and non-invasive tools to monitor the methylation status in patients would be highly desirable.

4. Materials and Methods

4.1. Study Subjects

Fifty-eight (40 M, 18 F; 50.2 ± 8.6 years) patients with oral squamous cell carcinoma (OSCC), who referred for diagnosis to the Division of Odontostomatology at Polyclinic Hospital University of Messina, were recruited for this study. Twenty-two of them were smokers. No alcohol use was reported among patients. In the same time period, 90 healthy subjects (62 M, 28 F; 44.6 ± 11.3 years), matched with patients for age, gender, and smoking habit, were recruited on a voluntary basis among staff of Polyclinic Hospital University. Saliva samples were collected with the Oragene® DNA Self-Collection kit (Genotek, Ottawa, ON, Canada) from all participants, before any interventions occurred. All subjects gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of the Polyclinic University of Messina (Project identification code: 12/16, 22 March 2016).

4.2. MTHFR Genotyping

Genomic DNA was purified from saliva using Oragene DNA kit (Genotek’s), according to manufacturer’s instructions. Genotyping for MTHFR C677T and A1298C polymorphisms was carried out by a Real-Time PCR allelic discrimination technique, using Pre-designed TaqMan SNP Genotyping Assays (Applied Biosystems; assay ID: C_1202883_20 and C_850486_20).

4.3. DNA Methylation Detection

For the analysis of global DNA methylation the extracted DNA was hydrolyzed by 90% formic acid. After hydrolysis, samples were evaporated and the dry residue containing free bases was dissolved in ultrapure water and immediately analyzed by capillary electrophoresis as described previously [57]. The percentage of methylated to total cytosine (mC/tC) was calculated using the formula: (mmol mC/(mmol mC + mmol C)) × 100. As previously demonstrated, capillary electrophoresis with short-end injection mode resulted in the method sensitivity enhancement. Therefore, these procedures were comparable to others assays [57]. All assays were performed in duplicate. The methylation at the promoter region of p16 and MGMT genes was determined by methylation-specific PCR (MSP) after sodium bisulfite modification of DNA using a commercial kit from Sigma, according to the manufacturer’s instructions. Each MSP reaction was carried out in triplicate. The sequences of primer pairs used in MSP are shown in Table 4. PCR products were loaded onto 3.0% gels, stained with ethidium bromide, and directly visualized under UV illumination.
Table 4

Sequences of primers used in methylation-specific PCR.

PrimerForward 5′ > 3′Reverse 5′ > 3′Tm (°C)
p16-UMTTATTAGAGGGTGGGGTGGATTGTCAACCCCAAACCACAACCATAA58
p16-MTTATTAGAGGGTGGGGCGGATCGCGACCCCGAACCGCGACCGTAA55
MGMT-UMTTTGTGTTTTGATGTTTGTAGGTTTTTGTAACTCCACACTCTTCCAAAAACAAAACA60
MGMT-MTTTCGACGTTCGTAGGTTTTCGCGCACTCTTCCGAAAACGAAACG60

4.4. Statistical Analyses

Statistical analysis was performed with SPSS statistical program version 13.0 (SPSS, Chicago, IL, USA). Differences in the distribution of MTHFR genotypes as well as methylation status among patients and controls were examined by using the χ2 test or Fisher’s exact test, where appropriate. A value of p < 0.05 was considered statistically significant.
  56 in total

1.  Diet habits, alcohol drinking, tobacco smoking, green tea drinking, and the risk of esophageal squamous cell carcinoma in the Chinese population.

Authors:  Jian Ming Wang; Biao Xu; Jian Yu Rao; Hong Bing Shen; Heng Chuan Xue; Qing Wu Jiang
Journal:  Eur J Gastroenterol Hepatol       Date:  2007-02       Impact factor: 2.566

Review 2.  Review of the alterations in DNA methylation in esophageal squamous cell carcinoma.

Authors:  Yoshifumi Baba; Masayuki Watanabe; Hideo Baba
Journal:  Surg Today       Date:  2013-01-05       Impact factor: 2.549

3.  Prognoses and improvement for head and neck cancers diagnosed in Europe in early 2000s: The EUROCARE-5 population-based study.

Authors:  Gemma Gatta; Laura Botta; María José Sánchez; Lesley Ann Anderson; Daniela Pierannunzio; Lisa Licitra
Journal:  Eur J Cancer       Date:  2015-09-26       Impact factor: 9.162

Review 4.  Mechanisms of human DNA repair: an update.

Authors:  Markus Christmann; Maja T Tomicic; Wynand P Roos; Bernd Kaina
Journal:  Toxicology       Date:  2003-11-15       Impact factor: 4.221

5.  A second genetic polymorphism in methylenetetrahydrofolate reductase (MTHFR) associated with decreased enzyme activity.

Authors:  I Weisberg; P Tran; B Christensen; S Sibani; R Rozen
Journal:  Mol Genet Metab       Date:  1998-07       Impact factor: 4.797

6.  Methylenetetrahydrofolate reductase C677T polymorphism and predisposition towards esophageal squamous cell carcinoma in a German Caucasian and a northern Chinese population.

Authors:  Jianhui Zhang; Rainer B Zotz; Yan Li; Rui Wang; Sybille Kiel; Wolfgang A Schulz; Denggui Wen; Zhifeng Chen; Liwei Zhang; Shijie Wang; Helmut E Gabbert; Mario Sarbia
Journal:  J Cancer Res Clin Oncol       Date:  2004-07-29       Impact factor: 4.553

Review 7.  Epigenetics and the environment.

Authors:  Jessica E Sutherland; Max Costa
Journal:  Ann N Y Acad Sci       Date:  2003-03       Impact factor: 5.691

8.  Aberrant DNA methylation of P16, MGMT, and hMLH1 genes in combination with MTHFR C677T genetic polymorphism in esophageal squamous cell carcinoma.

Authors:  JianMing Wang; Annie J Sasco; ChaoWei Fu; HengChuan Xue; GuoPing Guo; ZhaoLai Hua; Qing Zhou; QingWu Jiang; Biao Xu
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-01       Impact factor: 4.254

Review 9.  The role of genetic factors in predisposition to squamous cell cancer of the head and neck.

Authors:  S Jefferies; R Eeles; D Goldgar; R A'Hern; J M Henk; M Gore
Journal:  Br J Cancer       Date:  1999-02       Impact factor: 7.640

10.  The MTHFR C677T polymorphism and global DNA methylation in oral epithelial cells.

Authors:  Isabela Tatiana Sales de Arruda; Darlene Camati Persuhn; Naila Francis Paulo de Oliveira
Journal:  Genet Mol Biol       Date:  2013-09-03       Impact factor: 1.771

View more
  29 in total

1.  The impact of gender and peripheral blood parameters on the characteristics of L-PRF membranes.

Authors:  Catherine Andrade Aldana; Felipe Ugarte Amenabar; Carolina Inostroza Silva; Paulo Diaz Calderon; David Rosenberg Messina; Nelson Pinto Carrasco; Marc Quirynen
Journal:  J Oral Biol Craniofac Res       Date:  2022-09-01

2.  Dynamic Changes in Red Cell Distribution Width Can Predict Major Adverse Cardiovascular Events after PCI in Patients with Unstable Angina Pectoris: A Retrospective Cohort Study.

Authors:  Qiang Xiao; Dekai Yan; Jian Qin; Wenwen Chen; Ke Jiang; Jian Zhao; Chen Zhang; Yuanmin Li
Journal:  Dis Markers       Date:  2022-06-08       Impact factor: 3.464

3.  Evaluation of Association of Oral Bacterial Profile with HBV and HCV Infection and T Lymphocyte Level in HIV-Positive Patients.

Authors:  Fatemeh Lavaee; Farzan Modarresi; Samira Amookhteh; Mohammad Amin Amiri
Journal:  Int J Dent       Date:  2022-06-23

4.  Analysis of salivary detection of P16INK4A and RASSF1A promoter gene methylation and its association with oral squamous cell carcinoma in a Colombian population.

Authors:  Leonor-Victoria González-Pérez; Diana-María Isaza-Guzmán; Eduin-Alonso Arango-Pérez; Sergio-Iván Tobón-Arroyave
Journal:  J Clin Exp Dent       Date:  2020-05-01

5.  Diagnostic Accuracy of Salivary Biomarkers including Lactate Dehydrogenase and Hemoglobin A1c for Screening Chronic Periodontitis.

Authors:  Somaye Ansari Moghadam; Fateme Soude Ahmadi Moghadam; Ebrahim Alijani
Journal:  Dis Markers       Date:  2022-04-26       Impact factor: 3.464

6.  Identification of Key Genes and Pathways in Tongue Squamous Cell Carcinoma Using Bioinformatics Analysis.

Authors:  Huayong Zhang; Jianmin Liu; Xiaoyan Fu; Ankui Yang
Journal:  Med Sci Monit       Date:  2017-12-14

7.  Implantology and Periodontal Disease: The Panacea to Problem Solving?

Authors:  Giovanni Matarese; Luca Ramaglia; Luca Fiorillo; Gabriele Cervino; Floriana Lauritano; Gaetano Isola
Journal:  Open Dent J       Date:  2017-08-30

8.  The Multifarious Functions of Pyruvate Kinase M2 in Oral Cancer Cells.

Authors:  Miyako Kurihara-Shimomura; Tomonori Sasahira; Chie Nakashima; Hiroki Kuniyasu; Hiroyuki Shimomura; Tadaaki Kirita
Journal:  Int J Mol Sci       Date:  2018-09-25       Impact factor: 5.923

9.  The association between MTHFR gene polymorphisms (C677T, A1298C) and oral squamous cell carcinoma: A systematic review and meta-analysis.

Authors:  Wenzhang Ge; Yang Jiao; Lianzhen Chang
Journal:  PLoS One       Date:  2018-08-24       Impact factor: 3.240

10.  Predicting response to BET inhibitors using computational modeling: A BEAT AML project study.

Authors:  Leylah M Drusbosky; Robinson Vidva; Saji Gera; Anjanasree V Lakshminarayana; Vijayashree P Shyamasundar; Ashish Kumar Agrawal; Anay Talawdekar; Taher Abbasi; Shireen Vali; Cristina E Tognon; Stephen E Kurtz; Jeffrey W Tyner; Shannon K McWeeney; Brian J Druker; Christopher R Cogle
Journal:  Leuk Res       Date:  2019-01-07       Impact factor: 3.156

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.