Head and neck cancer is the sixth most commonly diagnosed cancer, making it a serious and growing health problem [1]. The term
In 2018, tumors of the lip and oral cavity accounted for 2% of all malignant tumors registered worldwide (354,864 cases) and contributed to 177,384 deaths that year [4]. Epidemiological evidence indicates that the worldwide incidence of head and neck cancer increases with age, occurring most often in people over 50 years old, and they are more common in men than women. The risk of cancer is caused mainly by exposure to tobacco and alcohol abuse [1, 5]. Infection with human papilloma virus [6], environmental factors [7], dietary habits [8], and poor oral hygiene [9] also play a role in the pathogenesis of head and neck cancer. Intensive worldwide, multicenter research has been undertaken to discover new prognostic and treatment predictive biomarkers for these cancers [10, 11, 12, 13].
Carcinogenesis is a complex and multistage process which involves the conversion of normal cells into tumor cells. Oncogenic transformation occurs following mutations that change the function of specific genes, such tumor suppressor genes or oncogenes, and their encoded protein products. Important changes in the transcriptional and translational regulation of genes also occur in the process of malignant transformation [14]. Recently, much attention has been given to epigenetic changes that influence the regulation of gene expression without affecting the sequence of nucleotides. These phenomena are reversible under the action of chemicals and act through two routes: the epigenetic modification of gene expression by DNA methylation and the remodeling of chromatin by the alteration of histone proteins [15]. DNA methylation is essential for normal cell growth and differentiation. That process occurs during X-chromosome inactivation, genomic imprinting, cell death, and cell cycle control. In mammalian cells, cytosine residues of CpG sites are methylated by methyltransferase (DNMT) at position C5 [16]. The methylation process plays an important role in genome stability. Disorders of methylation patterns may become useful biological markers associated with many forms of tumor. Therefore, despite being difficult to clearly define and with no well-defined mechanism of action, epigenetic phenomena are of great potential clinical importance [17].
DNA methylation is a biochemical process of adding a methyl group to the substrate. The following enzymes take part in that process: methylenetetrahydrofolate reductase (MTHFR) [18], methylenetetrahydrofolate dehydrogenase, cyclohydrolase and formyltetrahydrofolate synthetase 1 (MTHFD1) [19], methionine synthase (MTR) [20], methionine synthase reductase (MTRR) [21], transcobalamin 2 (TCN2) [22], methyltransferase betaine – homocysteine (BHMT) [23], methyltransferase betaine – homocysteine 2 (BHMT2) [24] and synthase β – cystathionine (CBS) [25]. Numerous studies implicate abnormal methylation in cancer. Aberrant process may be related to the occurrence of a polymorphism in the gene encoding the corresponding protein.
MTHFD1 is an enzyme that performs three different activities (5,10-methylenetetrahydrofolate dehydrogenase, 5,10-methenyltetrahydrofolate cyclohydrolase, and 10-formylotetrahydrofolate synthetase). Each of these catalyzes the interconversion of tetrahydrofolate. That is a substrate for the biosynthesis of methionine, thymidylate, and purine nucleotides. The most analyzed polymorphism of the
TCN2 belongs to the vitamin B12 – binding protein family and allows cobalamin to be transported into the cell [26]. Vitamin B12 is a co-factor for the enzyme MTR, which catalyzes the transfer of a methyl group from 5-methyltetrahydrofolate. That chemical as well as methionine are converted by MTHFR from 5,10-methylenetetrahydrofolate. Methionine may be then converted to S-adenosylmethionine, an important methyl donor for the methylation process, including DNA methylation. MTR links the methylation and synthesis of purine and pyrimidine pathways via generation of the methyl donor methionine and synthesis of tetrahydrofolate, respectively [27]. Both low MTR activity and low vitamin B12 level are determinants of DNA hypomethylation [28]. The most common
Our previous study [31] showed that the
The study was conducted with the approval of the Local Ethics Committee of the Medical University of Lodz (RNN/142/09/KB). A total of 439 unrelated patients (201 women and 238 men) with histologically confirmed oral cavity squamous cell carcinoma (OCSCC) were examined for the
DNA was extracted from peripheral blood lymphocytes using Genomic Mini AX Blood Kits (A&A Biotechnology, Gdynia, Poland) and from tissues in the paraffin blocks using Genomic Mini AX Tissue (A&A Biotechnology, Gdynia, Poland). Genotypes were determined by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). PCR was carried out in a volume of 10 µl. The reaction mixture consisted of 100 ng of genomic DNA, 0.5 µmol of each primer, and 3U Taq polymerase (A&A Biotechnology, Gdynia, Poland). The PCR cycling conditions consisted of an initial denaturation step of 95°C for 5 minutes, followed by 35 cycles of 95°C for 30 s, 62°C for 30 s, 72°C for 30 s and then a final extension step at 72°C for 5 minutes (Bio-Rad, Hercules, California, USA). Following this, 10 µl of specifically positive PCR products was digested overnight with 1 µl of
Analysis of the genotype polymorphism MTHFD1 c.1958G>A after hydrolysis with restriction enzyme MspI; lane 1 - marker, lanes 3, 5, 7 - heterozygote GA, lanes 2, 4 - homozygous GG, lane 6 is homozygous AA
DNA was extracted from peripheral blood lymphocytes using DNA Blood Mini Kits (A&A Biotechnology, Gdynia, Poland). Genotypes were determined by PCR-RFLP. PCR was carried out in a volume of 10 µl. The reaction mixture consisted of 100 ng of genomic DNA, 0.5 µmol of each primer, and 3 U Taq polymerase (A&A Biotechnology, Gdynia, Poland). The PCR was conducted under the following temperature conditions: pre-denaturation step at 94°C for 10 min, 34 cycles of denaturation at 56 °C for 45s oligonucleotide annealing at 55 °C for 30 s, and amplification at 72°C for 45 s, and final incubation at 72 °C for 10 min (Bio-Rad, Hercules, California, USA). Subsequently, the products were subjected to digestion by the
Analysis of genotype polymorphism TCN2 c.776G>C after hydrolysis with restriction enzyme ScrFI; lane 1 - marker; lanes 2, 3, 5, 6, 7 - heterozygous CG, lane 4 - homozygous CC, lane 8 is homozygous GG
The primers, lengths of the PCR products, and restriction enzymes of
The primers, length of PCR products, and restriction enzymes
MTHFD1 c.1958G>A | Sense |
331 bp | MspI |
TCN2 c.776G>C | Sense |
568 bp | ScrFI |
Detailed characterization of MTHFD1 and TCN2 gene polymorphisms
MTHFD1 | Methylene-tetrahydrofolate-dehydrogenase | rs2236225 | 14: 63978598 | Arg653Gln | G/A | 0,46 |
TCN2 | Transcobalamin 2 | rs1801198 | 22: 29341610 | Arg259Pro | G/C | 0,45 |
Multiple logistic regression was used to determine the effect of the interaction between genetic polymorphisms and risk factors associated with head and neck cancer. The model includes gender (reference: female), the consumption of tobacco products (reference: nonsmoking), and alcohol consumption (reference: nondrinkers). The frequencies of the analyzed polymorphisms among OCSCC patients and controls were evaluated using the Hardy-Weinberg (HW) equilibrium test. The distribution of the alleles was analyzed with the Yates chi-square test. Results are shown as odds ratio (OR) and 95% confidence intervals (95% CI). P-values were calculated as two-sided. Means were compared using a t-test or analysis of variance. Probabilities were considered significant at
The genotype and allele distributions of the
Genotype and allele frequencies of MTHFD1 c.1958G>A and TCN2 c.776G>C polymorphisms in oral cavity cancer patients and controls
GG | 53 (26.5) | 55 (12.5) | 1.00 | |
GA | 110 (55) | 332 (75.6) | 2.91 (1.88–4.49) | <0.0001 |
AA | 37 (18.5) | 52 (11.9) | 1.35 (0.77–2.38) | 0.29 |
G | 216 (54) | 442 (49) | 1.00 | |
A | 184 (46) | 436 (51) | 1.16 (0.91–1.47) | 0.23 |
GG | 34 (17) | 76 (34.5) | 1.00 | |
CG | 71 (35.5) | 107 (48.7) | 0.67 (0.41–1.12) | 0.13 |
CC | 95 (47.5) | 37 (16.8) | 0.17 (0.10–0.30) | <0.0001 |
G | 139 (35) | 259 (59) | 1.00 | |
C | 261 (65) | 181 (41) | 0.76 (0.58–1.01) | 0.06 |
For the
For the
The results of comparison between groups showed that tobacco, alcohol use, and male gender (
Relationships between the patient group and the control group regarding smoking, alcohol consumption, and gender
(N=220) | ||||
Non-smokers | 150 (75.0) | 31 (14.1) | Reference | |
Smokers | 50 (25.0) | 189 (85.9) | 18.29 (11.13–30.06) | <0.0001 |
(N=439) | ||||
Non-smokers | 150 (75.0) | 124 (28.2) | Reference | |
Smokers | 50 (25.0) | 315 (71.8) | 7.62 (5.20–11.16) | <0.0001 |
Alcohol consumption | ||||
(N=220) | ||||
No | 101 (50.5) | 70 (31.8) | Reference | |
Yes | 99 (49.5) | 150 (68.2) | 2.19 (1.47–3.25) | <0.0001 |
(N=439) | ||||
No | 101 (50.5) | 149 (33.9) | Reference | |
Yes | 99 (49.5) | 290 (66.1) | 1.98 (1.41–2.79) | <0.0001 |
Gender | ||||
(N=220) | ||||
Female | 100 (50.0) | 52 (23.6) | Reference | |
Male | 100 (50.0) | 168 (76.4) | 3.23 (2.13–4.90) | <0.0001 |
(N=439) | ||||
Female | 100 (50.0) | 124 (28.2) | Reference | |
Male | 100 (50.0) | 315 (71.8) | 2.54 (1.80–3.59) | <0.0001 |
The data of the interaction between genotype and tobacco smoking, alcohol consumption, and gender with respect to the risk for oral cavity cancer are shown in Table 5. The presence of the
Odds ratio of oral cavity cancer related to MTHFD1 and TCN2 genotypes according to tobacco use, alcohol consumption and gender in patients with head and neck cancer
MTHFD1c.1958G>A * | TCN2 c.776G>C ** | |
Non-smokers | 2.10 (1.09–4.06) P=0.03 | 0.72 (0.29–1.77) P=0.63 |
Smokers | 2.60 (1.29–5.23) P=0.01 | 0.15 (0.05–0.45) P<0.0001 |
No | 1.23 (0.60–2.51) P=0.35 | 0.53 (0.27–1.01) P=0.08 |
Yes | 1.01 (0.57–1.81) P=1 | 0.26 (0.13–0.52) P<0.0001 |
Female | 1.77 (0.93–3.39) P=0.1 | 0.48 (0.22–1.04) P=0.07 |
Male | 2.28 (1.32–3.96) P=0.003 | 0.33 (0.17–0.61) P=0.003 |
Malignant tumors have a significant impact on public health and constitute a significant economic burden on the population due to lost productivity and the costs associated with illness and treatment. It is expected that this problem will grow as the population ages [34].
He ad and neck cancers are classified according to their location. Risk factors, diagnosis, and treatment may vary depending on the disease subtype. The head and neck region of the body is located close to other important life organs and systems. Cancers of the head and neck can damage the brain, spinal cord, and nerves, as well as the sense organs responsible for contact with the outside world. The tumors may also affect the endocrine organs, such as the thyroid or pituitary gland. Regardless of whether a tumor is malignant or benign, it often directly affects the performance of several structures simultaneously [2].
Non-healing ulcers, new or fast-growing growths, or warts on the skin, mouth, or nose can develop in response to anxiety and need to be investigated to determine whether they pose a threat to health or life. Particular attention should be paid to frequently occurring headaches, dizziness and changes in temperament and mood. In addition, frequent nosebleeds, ear or neck aches, persistent hoarseness, and voice alterations can be symptoms of cancer, as can problems with chewing and swallowing, choking, and the presence of ulcers in the mouth and blood in the saliva. Other symptoms may include numbness in the face or tongue, tooth loss, or a well-fitting prosthesis becoming mismatched [35].
Al though genetic and environmental factors take part in the pathogenesis of head and neck cancer, the mechanisms underlying the process remain unclear. However, host genetic factors are the important determinants of the pathophysiology of the disease. Polymorphisms may be potentially used as a biomarker to evaluate cancer risk. Sequence variants in Toll-like receptor genes, which mediate the innate immune response defense against microorganisms, have been linked to head and neck cancer risk [36]. Moreover, strong evidence confirms that alterations in the genes associated with DNA methylation may contribute to carcinogenesis. Hypermethylation promotes gene silencing, and hypomethylation of a promoter can make it susceptible to induction by oncogenes [37].
The aim of the study was to determine the relationship between the occurrence of two polymorphisms of genes encoding selected enzymes associated with the methylation process,
Data indicate the presence of 30,000 CpG dinucleotides, also known as CpG islands, in the human genome; most of which are located in promotor regions. Under normal conditions, they remain unmethylated. Methylation of those structures leads to different diseases, including carcinogenesis [38]. Hazra et al. [39] found that aberrant methylation of the promoter CpG island may contribute to colorectal cancer development by silencing tumor suppressor genes. The inactivation of tumor suppressor genes by hypermethylation plays a key role in the process of malignant transformation [40].
It has been found that the presence of the
In conclusion, the presence of the