ORIGINAL RESEARCH

Methylation of cell cycle and apoptosis genes’ promoters in exposed individuals with subsequent malignant neoplasms

About authors

1 Urals Research Center for Radiation Medicine, Chelyabinsk, Russia

2 Chelyabinsk State University, Chelyabinsk, Russia

Correspondence should be addressed: Eugenia A. Blinova
Vorovskogo, 68A, Chelyabinsk, 454141, Russia; ur.mrcru@avonilb

About paper

Acknowledgements: the article was prepared in the context of the Federal Target Program "Modernization of high-tech methods of identification of medical consequences of exposure to radiation of personnel of the Mayak Production Association and population of the Ural region," Contract № 27.501.21.2 of 11.06.2021.

Author contributions: E.A. Blinova — study planning, generalization of primary material, analysis and discussion of the results, article drafting; A.V. Korechenkova — laboratory tests, article drafting; V.S. Nikiforov — laboratory tests, article drafting; A.V. Akleyev — study planning, article editing, authoring of the final version of the article.

Compliance with ethical standards: the study was approved by the Ethics Committee of the Urals Research Center for Radiation Medicine of the FMBA of Russia (Minutes #2 of July 20, 2021). All participants signed the informed consent form to participate in the study.

Received: 2023-10-03 Accepted: 2023-11-13 Published online: 2023-12-25
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To date, the potential usefulness of genetic factors in prediction of risks of malignant neoplasms (MN) has been investigated fairly well. For some MN, there were established highly reliable genetic markers, like BRCA1 and BRCA2 mutations for breast cancer and ovarian cancer [1], TP53 mutations for breast, lung, stomach and intestinal cancers [2], ATM gene mutations for pancreatic and breast cancers [3]. However, polygenic nature of MN prevents determination of the role of such changes in radiation-induced carcinogenesis. Epigenetic indicators, including DNA methylation, which are modifiable by environmental factors like ionizing radiation, can underpin an alternative approach to the MN risk prediction.

Epigenetic modifications, including methylation, affect the expression of genes involved in carcinogenesis at different stages, from initiation to progression [4]. Hypermethylation of suppressor genes, mobile genetic elements, and oncogenes, is registered in tumor cells, the examples thereof including hypermethylation of tumor suppressor genes in non-small cell lung cancer, colorectal cancer, breast, prostate, and bladder cancer cases [57]. Hypomethylation of mobile genetic elements, such as Alu and LINE-1, as well as individual gene regions, was registered in breast, ovarian, hepatocellular, and stomach cancer cases [8, 9].

It should be noted that epigenetic marks reflect both the innate genetic background and the impact of environmental factors, which is important in the context of investigation of the effects exogenous factors have on carcinogenesis [10].

DNA methylation is tissue-specific, therefore, methylation patterns obtained from, for example, blood, cannot be easily extrapolated to tissues in which cancer grows [11]. However, this is possible, since the correspondence between DNA methylation in different tissues depends on the locus and the degree of inter-tissue correlation, and methyl marks can be inherited or form at early stages of development, as a consequence of which they will be detected in many tissues [12]. Changes of methylation patterns peculiar to the aging genes (epigenetic clock) may also be associated with the risk of development of various pathologies, including cancer [1315].

There are published papers that report development of the MN risk prediction algorithms based on the analysis of blood cell DNA methylation. The phenotypic aging and mortality risk assessment algorithms based on the level of methylation of CpG-dinucleotides of DNA associated with age, plasma protein levels, smoking status, and key disease factors, were shown usable in the context of both overall and specific MN risk evaluation, including that for lung, prostate, breast, colorectal cancers [16-18]. A systematic review of studies investigating human blood DNA methylation established a stable relationship between breast cancer risk and global hypomethylation of blood cell DNA and epigenetic age [19].

However, despite the mentioned works, there is still no reliable evidence of the alleged link between DNA methylation patterns and MN development risks.

Cell cycle arrest and apoptosis are some of the mechanisms preventing cell's oncotransformation; with this in mind, we conducted this study seeking to assess the level of methylation of promoter regions of cell cycle control and apoptosis genes (BAX, MDM2, TP53, NFkB1) in blood sampled from individuals who were chronically exposed to radiation and subsequently had MN.

METHODS

Characteristics of the examined individuals

We determined the degree of methylation of CpG dinucleotides in promoter regions of peripheral blood BAX, MDM2, TP53, and NFkB1 genes in people exposed to chronic low dose rate radiation emitted by the Techa River contaminated with liquid radioactive wastes dumped from the Mayak Production Association in 1950-1960. Individual doses accumulated by red bone marrow (RBM) were calculated for each participant using the Techa River Dosimetry System (TRDS) 2016 [20]. They were divided into two groups: a test group, which included 100 exposed persons who were subsequently diagnosed with MN (we collected blood samples prospectively, in the latent period, 5 years before MN developed), and a control group, which consisted of 100 exposed persons not diagnosed with cancer. In this study, the latent period was up to 5 years, because the level of methylation depends on various environmental factors and may change over time, consequently, a longer follow-up period would weaken the link with cancer risk. One of the previously published systematic reviews has shown that the DNA methylation patterns can change in different periods of observation [19].

The inclusion criteria were: residence in one of the 41 Techa riverside villages from 01.01.1950 to 31.12.1960; availability of the individual red bone marrow dose data calculated based on TRDS 2016 [20]. The exclusion criteria were: autoimmune diseases, hemoblastoses and malignant neoplasms at the time of blood sampling (including in 2023 for the control group).

The following MN were diagnosed in the test group 2002 to 2020: lip cancer (ICD 10 code C00 — 3 cases), cancer of digestive organs (esophagus, C15 — 1 case; stomach, C16 — 14 cases; transverse colon, C18.4 — 5 cases; rectosigmoid junction, C19 — 3 cases; pancreas, C25.9 — 8 cases), cancer of respiratory and thoracic organs (trachea, bronchus, lung, C34 — 19 cases), breast cancer (C50 — 16 cases), cancer of female genitalia (cervix, C53 — 7 cases; uterine body, C54 — 4 cases; ovary and uterine appendages, C56 — 3 cases), male genitalia (prostate gland, C61 — 8 cases); urinary tract (bladder, C67 — 6 cases; kidneys, C64 - 3 cases).

Table tab. 1 presents characteristics of the examined individuals.

The mean age of the examined persons with MN was 68.3 ± 0.7 years (from 51 through 86 years). More than half (54%) of members of this group were female. The average accumulated RBM dose there was 731.5 ± 68.3 mGy (dose range: 10.1–3,507 mGy).

By each of the studied genes, the number of people in test and control groups differed, but by age at the time of examination, sex and RBM dose, the groups were comparable (tab. 2).

All participants of the study signed a voluntary informed consent form approved by the Ethics Committee of the Urals Research Center for Radiation Medicine.

Research methods

Genomic DNA isolated from frozen blood samples was denatured and converted with bisulfite using the EpiJET Bisulfite Conversion Kit (Thermo Scientific; USA), as per the manufacturer's protocol. After bisulfite treatment, we applied primers specific to the methylated DNA sites for amplification purposes. Methyl Primer Express Software V.1.0 (Applied Biosystems; USA) was used to construct the sequences of primers for PCR fragments of promoter regions of BAX, MDM2, TP53, NFkB1. We selected genes based on the results of earlier studies investigating their transcriptional activity and level of methylation of the gene's promoter regions in irradiated individuals [21, 22]. 

The oligonucleotides were synthesized by DNK Synthes (Russia). Table tab. 2 shows sequences of oligonucleotides specific to the methylated DNA sequence.

The status of methylation of the gene promoters was established with the help of real-time PCR and high resolution melt curve analysis (HRM analysis). The reaction was triggered in 20 µl of a 5x qPCRmix-HS (Eurogen; Russia) reaction mixture consisting of a highly recessive Taq-DNA polymerase with specific monoclonal antibodies, SYBR Green I dye, a mixture of dNTP, Mg2+ and PCR buffer. For real-time PCR, we used a StepOnePlus Real-Time PCR System (Thermo Scientific; USA) amplifier. The temperature and time sequences for this procedure were as follows: first denaturation (95°, 5 minutes), denaturation (95°, 30 seconds), annealing (see tab. 2 for annealing temperature for each gene, 30 seconds), and elongation (72°, 30 seconds) — 50 cycles; construction of the melting curve (95°, 10 seconds; 60°, 1 minute; 95°, 15 seconds; 60°, 15 seconds).

Bisulfite-converted samples of commercially available fully methylated DNA, CpG Methylated Human Genomic DNA (Thermo Fisher Scientific; USA), and unmethylated Human Genomic DNA Male (Promega; USA) were used as controls enabling assessment of methylation of the studied CpG islands of the gene promoter regions. The controls were mixed in the following ratios: 0/100, 5/95, 10/90, 25/75, 50/50, 75/25 and 100/0, respectively. The degrees of methylation for each control sample were 0%, 5%, 10%, 25%, 50%, 75% and 100%. For the analysis, we used HRM software (Applied Biosystems; USA); it was based on the comparison of the experimental DNA samples melt curve profiles with the standard samples, i.e., those with a known level of methylation. Based on the standard samples, the following degrees of methylation were distinguished: 0%; 0–5%; 5–10%; 10–25%; 25–50%; 50–75%; 75–100%. Experimental DNA samples were distributed accordingly.

Statistical analysis of the data

SPSS Statistics 17.0 software package was used for statistical processing of the results. Yates's chi-squared test enabled comparison of distribution of the participants by the level of methylation; the differences were considered significant at p ≤ 0.01. To distinguish between methylation levels of 0 through 10% and over 10%, we used Fisher's exact test. The differences were considered significant at p ≤ 0.05. Spearman's rank correlation coefficient (R) enabled correlation analysis designed to evaluate the effect of RBM dose and age on the degree of methylation; correlations were considered statistically significant at p ≤ 0.05.

RESULTS

We found that by the degree of methylation of promoter regions of BAX, MDM2 and NFkB1, test group (exposed individuals with latent MN) differed significantly from the control group (see figure). It should be noted that in the vast majority of those who eventually developed MN, the level of methylation of the mentioned promoter regions did not exceed 10%, and the bulk of differences in distribution as compared to the control group were registered in this span. Thus, in the test group, the proportion of those who had NFKB1 promoter region methylated by 0–10% was 100%, while in the control group this figure equaled 87%.  At the same time, in the test group, there were 50% and 49% of those whose NFKB1 promoter region was hypomethylated (0% methylation) and lightly methylated (methylation up to 5%), respectively, and in the control group these figures were 63% and 23%, respectively. As for the MDM2 gene, the bulk of differences between test and control groups was also in the 0–5% span, with hypomethylation registered in 29% of the test group cases and light methylation (0–5%) in 62%, while in the control group promoter region of MDM2 was hypomethylated in 55% of participants and lightly methylated in 41%. For BAX, the trend was similar: in 98% of test group participants, the level of methylation was below 10%, and 2% exhibited hypermethylation (50 through 75%) of this gene promoter region. It is worth noting that in the control group, we registered all the designated spans of level of methylation of BAX's promoter region.

Given the relative uniformity of distribution by the levels of methylation, we divided the sample into two groups: group 1, methylation up to 10%; group 2, methylation over 10% (tab. 3).

We revealed significant differences only for BAX, the proapoptotic gene. Compared to the control group, the share of test group participants who had its promoter regions methylated for up to 10% was significantly higher (p < 0.00001).

Methylation is a dynamic process that may depend on a number of factors, including age and radiation dose. With this in mind, we correlated the levels of methylation with RBM dose and age at the time of examination. This analysis revealed no dependence of the methylation pattern on RBM dose and age in the test group, and in the control group, we registered a weak negative correlation between BAX and TP53's promoter regions methylation and age of the participants (R = –0.35; p = 0.002 and R = –0.28; p = 0.02, respectively) (tab. 4).

DISCUSSION

The subjects of this study were the cell cycle (MDM2, TP53) and apoptosis (BAX, NFkB1) genes. By distribution of the levels of methylation of BAX, MDM2 and NFkB1 promoter regions, test group (exposed individuals, subsequent MN) differed significantly from the control group (exposed individuals, no subsequent MN). However, having divided the sample into two groups by the degree of methylation (up to 10% and above 10%), we discovered statistically significant differences only for BAX. In the test group, 98% of the participants had the levels of methylation between 0 and 10%, while in the control group, this figure did not exceed 73%.

BAX is a member of BCL-2 family; it induces apoptosis and is considered a potential tumor suppressor [23]. Normally, in response to genotoxic damage, the p53 protein alters the level of expression of genes involved in mitochondrial-mediated apoptosis, and activates BAX, inter alia [24]. At the same time, tumor cells suppress pro-apoptotic genes, seeking to survive and metastasize. It is important to note that decreased concentration of the BAX protein is associated with mutations in the Tp53 gene [25]. According to our studies, exposed individuals with latent MN have BAX promoter in blood cells hypomethylated, which may affect the transcriptional activity of this gene. It is interesting to note that findings of a previous study that involved residents of the Techa riverside villages and investigated expression of mRNA of apoptotic genes: in those whose RBM dose exceeded 522 mGr, transcriptional activity of BAX was increased significantly [21]. Another study looked into death of peripheral blood lymphocytes in the same cohort, and found that in the exposed with obligate precancers, the level of respective apoptosis was higher than in those who were also exposed but had no precancer [26].

There is a sufficient number of published works investigating profiles of methylation of DNA in cancer cells, with colon, breast and lung cancers being the most common neoplasms considered [27]. At the same time, there are significantly fewer retrospective studies that look into methylation of DNA in normal tissues (for example, blood) before the onset of the disease, studies that seek cancer risk predictors; moreover, most of them consider genes associated with changes in the chronological age (epigenetic clock) [13, 15, 17]. There are, however, isolated studies of proto-oncogenes and tumor suppressor genes. One of them analyzed patterns of methylation of 17 genes potentially indicating predisposition to breast cancer, including cell cycle regulation genes, and found that, compared to the control group (no breast cancer), patients suffering the disease had the intragenic repeating element of the ATM gene hypermethilated [28].

Thus, the results of this study demonstrate that epigenetic modifications (degree of methylation) in the peripheral blood DNA can potentially be used as markers of radiation-induced carcinogenesis. In addition, identification of epigenetic changes in tissues and cells not involved in the pathological process allows clarifying the causes of pathological conditions. However, definitive determination of epigenetic markers of carcinogenic effects of radiation requires additional studies involving expanded samples and factoring in the analysis of the level of methylation registered in tumor tissues.

CONCLUSIONS

By distribution of the levels of methylation of BAX, MDM2 and NFkB1 promoter regions, test group (individuals exposed to chronic low dose rate radiation, with RBM doses from 10.1 to 3,507 mGy, latent MN) differed significantly from the control group. The share of the test group participants who had up to 10% of the BAX gene promoter regions methylated was significantly higher, and amounted to 98%, while in the control group this figure did not exceed 73%. There was revealed no dependence of the level of methylation of the studied gene promoter regions on RBM dose.

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