Dimeric bisbenzimidazoles: Cytotoxicity and effects on DNA methylation in normal and cancer human cells

Cancer cells are characterized by hypermethylation of the promoter regions of tumor suppressor genes. DNA methyltransferase inhibitors reactivate the genes, pointing to DNA methyltransferases as potential targets for anticancer therapy. Dimeric bisbenzimidazoles varying in the length of an oligomeric linker between two bisbenzimidazole residues (DB(n), where n is the number of methylene groups in the linker) were earlier shown to efficiently inhibit methylation of DNA duplexes by murine DNA methyltransferase Dnmt3a. Here, some of the compounds were tested for cytotoxicity, cell penetration, and effect on genomic DNA methylation in F-977 fetal lung fibroblasts and HeLa cervical cancer cells. Within the 0–60 μM concentration range, only DB(11) exerted a significant toxic effect on normal cells, whereas the effects of DB(n) on cancer cells were not significant. DB(1) and DB(3) slightly stimulated proliferation of HeLa and F-977 cells, respectively. DB(1) and DB(3) penetrated into the nuclei of HeLa and F-977 cells and accumulated predominantly in or near the nucleolus, while DB(11) was incapable of nuclear penetration. HeLa cells incubated with 26 μM DB(1) or DB(3) displayed a decrease in methylation of the 18S rRNA gene, which was in the regions of predominant accumulation of DB(1) and DB(3). The same DB(3) concentration exerted a similar effect on F-977 cells. However, the overall genomic DNA methylation level remained unchanged in both of the cell lines. The results indicated that DB(n)-type compounds can be used to demethylate certain genes and are thereby promising as potential anticancer agents.     

Modeling DNA methylation in a population of cancer cells

Little is known about how human cancers grow because direct observations are impractical. Cancers are clonal populations and the billions of cancer cells present in a visible tumor are progeny of a single transformed cell. Therefore, human cancers can be represented by somatic cell ancestral trees that start from a single transformed cell and end with billions of present day cancer cells. We use a genealogical approach to infer tumor growth from somatic trees, employing haplotype DNA methylation pattern variation, or differences between specific CpG sites or "tags," in the cancer genome. DNA methylation is an epigenetic mark that is copied, with error, during genome replication. At our tags, neutral copy errors in DNA methylation appear to occur at random, and much more frequently than sequence copy errors. To reconstruct a cancer tree, we sample and compare human colorectal genomes within small geographic regions (a cancer fragment), between fragments on the same side of the tumor, and between fragments from opposite tumor halves. The combined information on both physical distance and epigenetic distance informs our model for tumor ancestry. We use approximate Bayesian computation, a simulation-based method, to model tumor growth under a variety of evolutionary scenarios, estimating parameters that fit observed DNA methylation patterns. We conclude that methylation patterns sampled from human cancers are consistent with replication errors and certain simple cancer growth models. The inferred cancer trees are consistent with Gompertzian growth, a well-known cancer growth pattern.     

DNA methylation levels in normal and chemically-transformed mouse 3T3 cells

Normal mouse embryo 3T3 cell cultures and those oncogenically transformed by the chemical carcinogens benzo(a)pyrene and methylcholanthrene were analyzed by high performance liquid chromatography to determine the 5-methylcytosine to cytosine base ratios in their total genomic DNA. The DNA methylation levels appear to be approximately equal in the three cell lines examined.     

Combined analysis of DNA methylation and cell cycle in cancer cells

DNA methylation is a chemical modification of DNA involved in the regulation of gene expression by controlling the access to the DNA sequence. It is the most stable epigenetic mark and is widely studied for its role in major biological processes. Aberrant DNA methylation is observed in various pathologies, such as cancer. Therefore, there is a great interest in analyzing subtle changes in DNA methylation induced by biological processes or upon drug treatments. Here, we developed an improved methodology based on flow cytometry to measure variations of DNA methylation level in melanoma and leukemia cells. The accuracy of DNA methylation quantification was validated with LC-ESI mass spectrometry analysis. The new protocol was used to detect small variations of cytosine methylation occurring in individual cells during their cell cycle and those induced by the demethylating agent 5-aza-2''-deoxycytidine (5AzadC). Kinetic experiments confirmed that inheritance of DNA methylation occurs efficiently in S phase and revealed a short delay between DNA replication and completion of cytosine methylation. In addition, this study suggests that the uncoupling of 5AzadC effects on DNA demethylation and cell proliferation might be related to the duration of the DNA replication phase.     

DNA methylation in prostate cancer

Prostate cancer is the most common malignancy and the second leading cause of cancer death among men in the United States. There are three well-established risk factors for prostate cancer: age, race and family history. The molecular bases for these risk factors are unclear; however, they may be influenced by epigenetic events. Epigenetic events covalently modify chromatin and alter gene expression. Methylation of cytosine residues within CpG islands on gene promoters is a primary epigenetic event that acts to suppress gene expression. In tumorigenesis, the normal functioning of the epigenetic-regulatory system is disrupted leading to inappropriate CpG island hypermethylation and aberrant expression of a battery of genes involved in critical cellular processes. Cancer-dependent epigenetic regulation of genes involved in DNA damage repair, hormone response, cell cycle control and tumor-cell adhesion/metastasis can contribute significantly to tumor initiation, progression and metastasis and, thereby, increase prostate cancer susceptibility and risk. In this review, we will discuss current research on genes that are hypermethylated in human prostate cancer. We will also discuss the potential involvement of DNA methylation in age-related, race-related and hereditary prostate cancer, and the potential use of hypermethylated genes as biomarkers to detect prostate cancer and assess its risk.     

DNA methylation in endometrial cancer

Endometrial cancer is the most commonly diagnosed gynecological cancer, and it has been shown to be a complex disease driven by abnormal genetic and epigenetic alterations, as well as environmental factors. Epigenetic changes resulting in aberrant gene expression are dynamic and modifiable features of many cancer types. A significant epigenetic change is aberrant DNA methylation. In this review, we review evidence on the role of aberrant DNA methylation, examining changes in relation to endometrial carcinogenesis, and report on recent advances in the understanding of the contribution of aberrant DNA methylation to endometrial cancer with the emphasis on the role of dietary/lifestyle and environmental factors, as well as opportunities and challenges of DNA methylation in endometrial cancer management and prevention.Key words: DNA methylation, endometrial cancer, epidemiology     

Characterization of age signatures of DNA methylation in normal and cancer tissues from multiple studies

Background

DNA methylation (DNAm) levels can be used to predict the chronological age of tissues; however, the characteristics of DNAm age signatures in normal and cancer tissues are not well studied using multiple studies.

Results

We studied approximately 4000 normal and cancer samples with multiple tissue types from diverse studies, and using linear and nonlinear regression models identified reliable tissue type-invariant DNAm age signatures. A normal signature comprising 127 CpG loci was highly enriched on the X chromosome. Age-hypermethylated loci were enriched for guanine–and-cytosine-rich regions in CpG islands (CGIs), whereas age-hypomethylated loci were enriched for adenine–and-thymine-rich regions in non-CGIs. However, the cancer signature comprised only 26 age-hypomethylated loci, none on the X chromosome, and with no overlap with the normal signature. Genes related to the normal signature were enriched for aging-related gene ontology terms including metabolic processes, immune system processes, and cell proliferation. The related gene products of the normal signature had more than the average number of interacting partners in a protein interaction network and had a tendency not to interact directly with each other. The genomic sequences of the normal signature were well conserved and the age-associated DNAm levels could satisfactorily predict the chronological ages of tissues regardless of tissue type. Interestingly, the age-associated DNAm increases or decreases of the normal signature were aberrantly accelerated in cancer samples.

Conclusion

These tissue type-invariant DNAm age signatures in normal and cancer can be used to address important questions in developmental biology and cancer research.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-997) contains supplementary material, which is available to authorized users.     

Aberrant DNA methylation and prostate cancer

Prostate cancer (PCa) is the most prevalent cancer, a significant contributor to morbidity and a leading cause of cancer-related death in men in Western industrialized countries. In contrast to genetic changes that vary among individual cases, somatic epigenetic alterations are early and highly consistent events. Epigenetics encompasses several different phenomena, such as DNA methylation, histone modifications, RNA interference, and genomic imprinting. Epigenetic processes regulate gene expression and can change malignancy-associated phenotypes such as growth, migration, invasion, or angiogenesis. Methylations of certain genes are associated with PCa progression. Compared to normal prostate tissues, several hypermethylated genes have also been identified in benign prostate hyperplasia, which suggests a role for aberrant methylation in this growth dysfunction. Global and gene-specific DNA methylation could be affected by environmental and dietary factors. Among other epigenetic changes, aberrant DNA methylation might have a great potential as diagnostic or prognostic marker for PCa and could be tested in tumor tissues and various body fluids (e.g., serum, urine). The DNA methylation markers are simple in nature, have high sensitivity, and could be detected either quantitatively or qualitatively. Availability of genome-wide screening methodologies also allows the identification of epigenetic signatures in high throughput population studies. Unlike irreversible genetic changes, epigenetic alterations are reversible and could be used for PCa targeted therapies.     

Supra-physiological folic acid concentrations induce aberrant DNA methylation in normal human cells in vitro

The micronutrients folate and selenium may modulate DNA methylation patterns by affecting intracellular levels of the methyl donor S-adenosylmethionine (SAM) and/or the product of methylation reactions S-adenosylhomocysteine (SAH). WI-38 fibroblasts and FHC colon epithelial cells were cultured in the presence of two forms of folate or four forms of selenium at physiologically-relevant doses, and their effects on LINE-1 methylation, gene-specific CpG island (CGI) methylation and intracellular SAM:SAH were determined. At physiologically-relevant doses the forms of folate or selenium had no effect on LINE-1 or CGI methylation, nor on intracellular SAM:SAH. However the commercial cell culture media used for the selenium studies, containing supra-physiological concentrations of folic acid, induced LINE-1 hypomethylation, CGI hypermethylation and decreased intracellular SAM:SAH in both cell lines. We conclude that the exposure of normal human cells to supra-physiological folic acid concentrations present in commercial cell culture media perturbs the intracellular SAM:SAH ratio and induces aberrant DNA methylation.     

Increased DNA methyltransferase activity and DNA methylation following epidermal growth factor stimulation in ovarian cancer cells

Ovarian cancer progression is correlated with accumulation of aberrant CpG island methylation. In ovarian cancer, ascites fluid contains numerous Epidermal-Growth-Factor-Receptor (EGFR) activators, which could result in a tumor microenvironment of constant EGFR activation. Signaling pathways downstream of EGFR, such as Ras, regulate DNA methylation. We hypothesized that chronic EGFR activation could alter DNA methylation. We found that EGFR activation increased DNA methyltransferase (DNMT) activity acutely, as well as after long-term EGF treatment or expression of a mutationally activated EGFR. Furthermore, this increase in DNMT activity was dependent on EGFR catalytic activity and resulted in increased global DNA methylation. Additionally, treatment with the DNMT inhibitor/hypomethylating agent 5-Aza-2′-deoxycytidine (AZA) inhibited the EGF induced increase of both DNMT activity and global methylation. These data support a role for EGFR in the process of accumulated DNA methylation during ovarian cancer progression and suggest that epigenetic therapy may be beneficial for the treatment of ovarian cancer.Key words: ovarian cancer, DNA methylation, epidermal growth factor receptor, DNA methyltransferase, epigenetics, E-cadherin     

Increased DNA methyltransferase activity and DNA methylation following epidermal growth factor stimulation in ovarian cancer cells

Ovarian cancer progression is correlated with accumulation of aberrant CpG island methylation. In ovarian cancer, ascites fluid contains numerous Epidermal-Growth-Factor-Receptor (EGFR) activators, which could result in a tumor microenvironment of constant EGFR activation. Signaling pathways downstream of EGFR, such as Ras, regulate DNA methylation. We hypothesized that chronic EGFR activation could alter DNA methylation. We found that EGFR activation increased DNA methyltransferase (DNMT) activity acutely, as well as after long-term EGF treatment or expression of a mutationally activated EGFR. Furthermore, this increase in DNMT activity was dependent on EGFR catalytic activity and resulted in increased global DNA methylation. Additionally, treatment with the DNMT inhibitor/hypomethylating agent 5-Aza-2’-deoxycytidine (AZA) inhibited the EGF induced increase of both DNMT activity and global methylation. These data support a role for EGFR in the process of accumulated DNA methylation during ovarian cancer progression and suggest that epigenetic therapy may be beneficial for the treatment of ovarian cancer.     

DNA methylation in white blood cells

Alterations in DNA methylation patterns, both at specific loci and overall in the genome, have been associated with many different health outcomes. In cancer and other diseases, most of these changes have been observed at the tissue level. Data on whether DNA methylation changes in white blood cells (WBC) can serve as a useful biomarker for different health outcomes are much more limited, but rapidly emerging. Epidemiologic studies have reported associations between global WBC methylation and several different cancers including cancers of the colon, bladder, stomach, breast and head and neck, as well as schizophrenia and myelodysplastic syndrome. Evidence for WBC methylation at specific loci and disease risk is more limited, but increasing. Differences in WBC DNA methylation by selected risk factors including demographic (age, gender, race), environmental exposures (benzene, persistent organic pollutants, lead, arsenic, and air pollution), and other risk factors (cigarette smoke, alcohol drinking, body size, physical activity and diet) have been observed in epidemiologic studies though the patterns are far from consistent. Challenges in inferences from the existing data are primarily due to the cross-sectional and small size of most studies to date as well as the differences in results across assay type and source of DNA. Large, prospective studies will be needed to understand whether changes in risk factors are associated with changes in DNA methylation patterns, and if changes in DNA methylation patterns are associated with changes in disease endpoints.