Age distribution of study groups
The age ranged of patients with NHL from 20 from 69 years with mean = 48.7+10.8 years); while the apparently healthy control group have a mean of 46.9+11.2 years. However, no significant variations were detected when comparison between studied groups (P>0.05) (Table 1).
Sex distribution of the patients with NHL and AHC
Males with NHL was higher (61.3%: 62) than their female counter parts (38.7%: 38.7). In the control group, males constituted a higher percentage (62%: 31) compared to females (38%: 19). The statistical analysis revealed a significant difference between sex groups (P<0.01) within the examined cohorts (Table 2).
Genotyping of CYP17A1 rs743572 polymorphism
The distribution of polymorphism in DNA was shown to have a statistically significant difference between patients and controls. Table (3) shows this to make the difference even more clear. The results for GA GG and AA were: 38.7% 34.7% and 26.6% in the overall population and 28% 46% and 26% in the NHL population.
Detection of EBV genome by conventional PCR
The percentage of EBV in patients with NHL was 21.3% (16 out of 75 cases). While, 4% positive EBV genome in AHC specimens (Table 4). The statistical analysis of the differences between these two groups were significant (p = 0.03).
Spearman’s Rho statistical investigation of age, gender, EBV-DNA PCR and CYP17A1 rs743572 SNPs to determine if the markers assessed correlated in the individuals assessed in this report (NHL)
Researchers found that there was a statistically significant association between the SNP CYP17A1 rs743572 and the presence of EBV-DNA in NHL patients; r=0.365; p=0.019.
Also, there was a non-significant correlation between the SNP of CYP17A1 rs743572 and the age of NHL patients; p=0.244; r=0.040.
However, there were no significant correlations among sex and SNP of CYP17A1rs743572 in the current study (r=0.775; p=0.8). Furthermore, non-significant correlations among EBV and age in the current study (r=0.684; p=0.6). Lastly, significant correlations between EBV-DNA and sex of patients with NHL of current study (r=0.244; p=0.04 as illustrated in Table (5).
We underwent an extensive study where we analyzed the possible impact of gene polymorphisms described by the following genes: NQO1, CYP1A1, GSTT1, GSTM1, GSTP1. The purpose of our study was:
1. To determine if specific genetic variations are associated with non-hodgkin lymphoma (NHL).
2. to determine if smoking has an impact on the association between the genetic polymorphisms and susceptibility to NHL.
The prevailing consensus is that external carcinogens undergo metabolism in human beings, resulting in the production of active metabolites that bind to and disturb nuclear and mitochondrial DNA
(Zakiullah et al., 2020; Devkatte et al., 2022).
The oxidative metabolism of xenobiotics, which are substances found outside the usual biochemical composition of an organism such as medications and poisons, can be achieved by the phase I cytochrome P450 enzyme superfamily, including CYP1A1, CYP2D6, CYP2C9 and CYP2C19. Xenobiotics are oxidized by liver enzymes using singlet oxygen, resulting in the formation of very active intermediate metabolites (
Vander, 2020;
Patil and More, 2025).
Multiple studies have demonstrated that the CYP1A1 MspI T6235C polymorphism is linked to a higher susceptibility to lung cancer in Asian populations, particularly in connection to tobacco use (
de Castro, 2019;
Borah et al., 2025).
Current study results indicate that the DNA polymorphism distribution across GA genotypes; GG; AA based on the sample’s results were 38.7%; 34.7% and 26.6% In non-hodgkin’s lymphoma patients and 28%; 46%; and 26% in alcoholic hepatitis patients are consistent with the results reported by statistically significant differences were also demonstrated for both AA and AG genotypes, as well as the G allele, in the CYP1A1 polymorphism (
Rivera, 2020;
Chabukdhara et al., 2023).
The genetic variations we analyzed in our study corroborate the findings of
Liu et al. (2018) that both CYP1A1 genotype (A/G) 4889 and CYP1A1 genotype A/G+G/G are associated with a higher risk for Non-Hodgkin Lymphoma (NHL). Studies have shown that the A4889G polymorphisms within CYP1A1 are linked to increased susceptibility to lymphoma even in non-smokers.
An association was not apparent between CYP1A1 6235 and CYP1A1 4889 from an investigation consisting of 182 Saudi Arabian subjects compared to a control group of 511 individuals
(Quadri et al., 2005). The study also showed that CYP1A1 4889 was not detected in cases (n=1172) or compared to healthy controls (n=982) from California or eighteen cases from Australia, respectively and there were 451 cases with the disease and 526 cases without in connecticut. Three genetic variants were identified at the CYP1A1 gene using PCR-RFLP, namely T6235C (m1), A4889G (m2) and C4887A (m4). The identified mutations were used to designate three distinct alleles, namely CYP1A1*2A (only m1), CYP1A1*2B (m1) and CYP1A1*4 (only m4)()(Many ethnic studies have reported that there is a correlation between variations in different allelic forms of CYP1A1 with lympho-proliferative diseases). The CYP1A1 gene encodes an enzyme that converts hydrocarbons to 3-hydroxy derivative through hydroxylation at the first phase of the metabolism of a variety of exogenous substances xenobiotics such as polycyclic aromatic hydrocarbons (
e.g. benzopyrene
(Daaboul et al., 2020; Lingaiah et al., 2024). Intermediates from 3899 (from fairley’s study) activity will covalently modify proteins through the production of hydroxyl as an intermediate) through modifications of proteins during catalysis create covalent bonds and thus increased the cytotoxicity, mutagenicity, or carcinogenicity of synthetic molecules
(Daaboul et al., 2020; Lingaiah et al., 2024). An underlying genetic variation in the CYP1A1 gene results in increased enzymatic activity. Therefore increasing the concentrations of detrimental metabolites, Specifically, the CYP1A1*2A mutation has been demonstrated to elevate susceptibility to leukemia, especially in adolescents exposed to both pesticides and tobacco smoke (
Arendt, 2018;
Bhosale et al., 2024). (
Hoseini, 2017;
Gaina et al., 2023). Higher frequencies of both homozygous and heterozygous CYP1A1 gene variations (
e.g. 4887C>A, 4889A>G and 6235T>C) were found in individuals with B-cell chronic lymphocytic leukaemia (B-CLL) than in controls.
Despite the increasing recognition of the involvement of EBV in the development of non-hodgkin’s lymphoma, the therapy of this disease remains inadequate Progress in the development of antiviral medications and treatments using targeted monoclonal antibodies shows promising outcomes (
Ahmadullah, 2015;
Ali et al., 2021; Pesavento et al., 2019).
Even if numerous studies have investigated the entire spectrum of HL and NHL as far as the effect of EBV, there has only been limited research into the association between these lymphoid malignancies and EBV. There appears to be an increasing body of evidence supporting a causal role for EBV in certain types of lymphoma such as diffuse large B-cell lymphoma (DLBCL) or angioimmunoblastic T-cell lymphoma (AITL). The degree of EBV involvement in small B-cell lymphomas was considered to be low; however, there have also been limited systematic investigations into this phenomenon (
Sini, 2017;
Wang et al., 2015).
The percentage of EBV in patients with NHL of current results was 21.3% (16 out of 75 cases) have. While, 4% positive EBV genome in AHC specimens. our findings in line with other studies report (
Hossain, 2017). The findings of
Go et al., (2015) indicate that 35% (95% CI 31-8-39-4) of lymphoma cases in Europe are associated with EBV, whereas comparable rates in North America accounts for 32%, while Australia constitutes 29% support the idea that one third of lymphoma cases are tied to EBV. Even while the numberal of instances with a certain cHL subtype is few, Our data collection clearly indicates, consistent with existing research, Mixed-cellularity and lymphocyte-depleted patients exhibit a greater frequency of EBV-positive tumours, whereas nodular sclerosis cases have a lower prevalence
(Wang et al., 2015). Notably, Among cases of congenital haemorrhagia in Asia, Latin America and Africa, the prevalence of EBV positive is higher, with rates ranging from 50% to 74%.
In their 2020 study, reported a prevalence of 10.4% (7 out of 67 patients) with LMP 1 positive NHLs, which is similar to the findings of
Meng et al., (2015); Yu et al., (2015). However, Amal Ismail and colleagues reported that 17% of NHL cases tested positive for LMP-1. This could be attributed to the fact that their sample largely consisted of Burkitt lymphoma. Notably, our analysis did not include any cases of burkitt lymphoma.
In 2010, Yang and coworkers gathered samples from 60 nasal and nasopharyngeal non-Hodgkin lymphoma (NHL) cases. Of these 60 patients, 35 tested positive for EBER, yielding an overall frequency of EBER positivity (35/60), which was 58.3%. Of the 60 cases, 29 were classified as NK/T-cell lymphomas; of these, 19 were tested to be positive for EBER and had an overall EBER positivity frequency of 65.5% (19 of 29). In comparison, 31 were classified as B-cell lymphomas. Of the 31 cases, 16 were EBER positive, yielding an overall EBER positivity frequency of 51.6% (16 of 31). There was no statistically significant difference between the frequencies of EBER positivity in NK/T-cell lymphomas and B-cell lymphomas from nasal cavity and nasopharynx (P>0.05).