Whole-genome Methylation Research Articles

Epigenetics of Hematopoiesis, Stem Cell Reprogramming, and Cancer

Since the discovery of altered DNA methylation in cancer in 1982, most studies of cancer epigenetics have focused on epimutations which could serve as surrogates of mutation. In the past decade, we and our collaborators have been leading efforts to develop whole-genome approaches to epigenetic analysis of human disease, that include novel approaches to array-based analysis and whole-genome bisulfite sequencing. This has led to the first whole-genome bisulfite sequencing methylation map of the cancer genome. Surprising results have been the discovery of CpG island shores and large hypomethylated blocks corresponding to nuclear lamina/heterochromatin regions, and accounting for the vast majority of epigenetic alterations in cancer. These results point to the possibility that at least solid tumors represent epigenetically a single process with a common molecular characteristic; namely increased epigenetic plasticity that allows selection of the tumor cells at the expense of the host. This view can explain most of the hallmarks of cancer, as well as offering a strategy for powerful new approaches to risk detection and treatment. This whole-genome epigenetic approach has also revealed that the classical lineage structure of hematopoiesis is very well reflected in DNA methylation, but that there are very surprising dynamic changes in this process, with waves of both increasing and decreasing methylation changes. This work has also revealed a molecular basis for phenotypic memory in induced pluripotent stem cells, as well as a strong connection between reprogramming differentially methylated regions, or R-DMRs, and tissue-specific differentially methylated regions, or T-DMRs. Disclosures:No relevant conflicts of interest to declare.

Whole-Genome Methylation Sequencing Reveals Distinct Impact of Differential Methylations on Gene Transcription in Prostate Cancer

DNA methylation is one of the most important epigenetic mechanisms in regulating gene expression. Genome hypermethylation has been proposed as a critical mechanism in human malignancies. However, whole-genome quantification of DNA methylation of human malignancies has rarely been investigated, and the significance of the genome distribution of CpG methylation is unclear. We performed whole-genome methylation sequencing to investigate the methylation profiles of 13 prostate samples: 5 prostate cancers, 4 matched benign prostate tissues adjacent to tumor, and 4 age-matched organ-donor prostate tissues. Alterations of methylation patterns occurred in prostate cancer and in benign prostate tissues adjacent to tumor, in comparison with age-matched organ-donor prostates. More than 95% alterations of genome methylation occurred in sequences outside CpG islands. Only a small fraction of the methylated CpG islands had any effect on RNA expression. Both intragene and promoter CpG island methylations negatively affected gene expression. However, suppressions of RNA expression did not correlate with levels of CpG island methylation, suggesting that CpG island methylation alone might not be sufficient to shut down gene expression. Motif analysis revealed a consensus sequence containing Sp1 binding motif significantly enriched in the effective CpG islands.

Abstract A4: Whole genome sequencing of free circulating DNA from plasma of HGSOC patients

Abstract Genomic analysis of free circulating DNA (fcDNA) has a number of potential clinical applications, including cancer studies. Tumor-derived fcDNA harbors the same molecular aberrations, including mutations and methylation, as the derivative tumor. As it can be collected by non-invasive means, fcDNA is particularly promising as a cancer detection tool. In addition, molecular characterization of fcDNA in cancer patients is holds promise for determining tumor sub-types and monitoring response to treatment. However, because fcDNA concentrations are relatively low in the circulation, whole-genome analysis for molecular characterization is quite challenging. Standardization of fcDNA collection and processing for downstream analysis is imperative to help address these challenges. Our studies focus on the development of an early detection test for high-grade serous ovarian cancer (HGSOC), using whole-genome methylation analysis in fcDNA from HGSOC patients. DNA methylation plays a key role in the development of many cancer types, and thus carries great potential as a cancer diagnostic biomarker. We propose that DNA methylation changes in HGSOC tumors can be detected in the patient's fcDNA and can be used as a blood-based test to detect HGSOC. We have carried out Next Generation Sequencing (NGS) of methylation-enriched fcDNA from 3 HGSOC patients and 5 healthy controls with the aim of identifying a list of differentially methylated loci in fcDNA that can distinguish between HGSOC and control plasma. We also sought to generate standard protocols for collection and processing of fcDNA for whole-genome studies. First we analyzed effects of blood storage time on fcDNA recovery and quality and determined that storage for ≥8 hrs prior to plasma separation leads to increased DNA concentrations, as well as an appearance of a band that co-migrates with high-molecular weight genomic DNA. This increased DNA concentration likely represents genomic DNA contamination as a result of leukocytes lysis during storage. We next analyzed the effects of processing and scaling on enriched fcDNA recovery and quality. We used a methyl-binding protein-based (MBD2) protocol to enrich for methylated sequences in fcDNA isolated from plasma samples. Following application of a modified protocol due to low concentrations of fcDNA in plasma, we obtained a 10.2-14.9% enrichment of methylated fragments. In preparing the sample libraries for NGS, the predominant fcDNA size of ~180 base pairs allows minimal sample loss during the size restriction step. NGS analysis provided 37-86x10^6 unique mappable reads per fcDNA sample, representing >50% of the total mappable reads. These read counts indicate a satisfactory level of library complexity was achieved from minimal fcDNA input. Our standardization protocols provide the ability to comprehensively sequence patient fcDNA using half of the recommended sample input. This optimized approach allows in-depth whole genome characterization and comparison of fcDNA isolated from HGSOC and healthy controls to develop diagnostic tools and investigate biological mechanisms driving tumor progression. Citation Format: Kristina Warton, Lin Vita, Nicola J. Armstrong, Warren Kaplan, Kevin Ying, Helena Mangs, Neville F. Hacker, Robert L. Sutherland, Susan J. Clark, Goli Samimi. Whole genome sequencing of free circulating DNA from plasma of HGSOC patients. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research: From Concept to Clinic; Sep 18-21, 2013; Miami, FL. Philadelphia (PA): AACR; Clin Cancer Res 2013;19(19 Suppl):Abstract nr A4.

Methylation profiling of serum DNA from hepatocellular carcinoma patients using an Infinium Human Methylation 450 BeadChip.

Alterations in DNA methylation frequently occur in hepatocellular cancer (HCC). The methylation status of circulating DNA might serve as a potential biomarker for cancers. Six early stage HCC patients with chronic hepatitis B virus (HBV) infection and six age-matched healthy controls were selected for genome-scale DNA methylation screening of serum by Illumina Infinium Human Methylation 450 BeadChip. The chosen methylation sites were reassessed by bisulfite sequencing in four healthy controls and four early stage HCC patients with chronic HBV infection and were used for bead array screening. Another 27 healthy controls and 31 early stage HCC patients with chronic HBV infection were also chosen for further bisulfite sequencing validation. Whole-genome methylation was significantly lower in serum from HCC patients than in that from healthy controls. After bioinformatics analysis, methylation at DBX2 and Thy-1 membrane glycoprotein (THY1) was reassessed by bisulfite sequencing. The correlation coefficients of DBX2 and THY1 between the Illumina 450 BeadChip and bisulfite sequencing were respectively 0.9145 and 0.8232. Twenty-seven healthy controls and 31 early stage HCC patients with chronic HBV infection were chosen for further validation. The diagnostic sensitivity and specificity of DBX2 for differentiating healthy controls and early stage HCC were 88.89 and 87.10% and of THY1 were 85.19 and 80.65%. The results demonstrated that the 450K BeadChip is a useful tool for whole-genome serum DNA methylation screening of HCC, and some HCC-related DNA methylation sites were screened.

Codeletion of 1p and 19q determines distinct gene methylation and expression profiles in IDH-mutated oligodendroglial tumors

Oligodendroglial tumors (OTs) are primary brain tumors that show variable clinical and biological behavior. The 1p/19q codeletion is frequent in these tumors, indicating a better prognosis and/or treatment response. Recently, the prognostically favorable CpG island methylator phenotype (CIMP) in gliomas (G-CIMP+) was associated with mutations in the isocitrate dehydrogenase 1 and isocitrate dehydrogenase 2 (IDH) genes, as opposed to G-CIMP- tumors, highlighting the relevance of epigenetic mechanisms. We performed a whole-genome methylation study in 46 OTs, and a gene expression study of 25 tumors, correlating the methylation and transcriptomic profiles with molecular and clinical variables. Here, we identified two different epigenetic patterns within the previously described main G-CIMP+ profile. Both IDH mutation-associated methylation profiles featured one group of OTs with 1p/19q loss (CD-CIMP+), most of which were pure oligodendrogliomas, and a second group with intact 1p/19q and frequent TP53 mutation (CIMP+), most of which exhibited a mixed histopathology. A third group of OTs lacking the CIMP profile (CIMP-), and with a wild-type IDH and an intact 1p/19q, similar to the G-CIMP- subgroup, was also observed. The three CIMP groups presented a significantly better (CD-CIMP+), intermediate (CIMP+) or worse (CIMP-) prognosis. Furthermore, transcriptomic analyses revealed CIMP-specific gene expression signatures, indicating the impact of genetic status (IDH mutation, 1p/19q codeletion, TP53 mutation) on gene expression, and pointing to candidate biomarkers. Therefore, the CIMP profiles contributed to the identification of subgroups of OTs characterized by different prognoses, histopathologies, molecular features and gene expression signatures, which may help in the classification of OTs.

An optimized algorithm for detecting and annotating regional differential methylation

BackgroundDNA methylation profiling reveals important differentially methylated regions (DMRs) of the genome that are altered during development or that are perturbed by disease. To date, few programs exist for regional analysis of enriched or whole-genome bisulfate conversion sequencing data, even though such data are increasingly common. Here, we describe an open-source, optimized method for determining empirically based DMRs (eDMR) from high-throughput sequence data that is applicable to enriched whole-genome methylation profiling datasets, as well as other globally enriched epigenetic modification data.ResultsHere we show that our bimodal distribution model and weighted cost function for optimized regional methylation analysis provides accurate boundaries of regions harboring significant epigenetic modifications. Our algorithm takes the spatial distribution of CpGs into account for the enrichment assay, allowing for optimization of the definition of empirical regions for differential methylation. Combined with the dependent adjustment for regional p-value combination and DMR annotation, we provide a method that may be applied to a variety of datasets for rapid DMR analysis. Our method classifies both the directionality of DMRs and their genome-wide distribution, and we have observed that shows clinical relevance through correct stratification of two Acute Myeloid Leukemia (AML) tumor sub-types.ConclusionsOur weighted optimization algorithm eDMR for calling DMRs extends an established DMR R pipeline (methylKit) and provides a needed resource in epigenomics. Our method enables an accurate and scalable way of finding DMRs in high-throughput methylation sequencing experiments. eDMR is available for download at http://code.google.com/p/edmr/.

Amplification-free whole-genome shotgun bisulfite sequencing of mouse primordial germ cells

Background Dynamic epigenetic reprogramming occurs during mammalian germ cell development, whereas the targets of this process including DNA demethylation and de novo methylation remain poorly understood. Here, we examined genome-wide methylation profiles in developing primordial germ cells (PGCs) of mice using high-throughput shotgun sequencing of bisulfite-treated DNA (whole-genome shotgun bisulfite sequencing; WGSBS), which accurately quantifies whole-genome methylation levels at single-base resolution.

Whole-genome methylation analysis of benign and malignant colorectal tumours.

Changes in DNA methylation, whether hypo- or hypermethylation, have been shown to be associated with the progression of colorectal cancer. Methylation changes substantially in the progression from normal mucosa to adenoma and to carcinoma. This phenomenon has not been studied extensively and studies have been restricted to individual CpG islands, rather than taking a whole-genome approach. We aimed to study genome-wide methylation changes in colorectal cancer. We obtained 10 fresh-frozen normal tissue–cancer sample pairs, and five fresh-frozen adenoma samples. These were run on the lllumina HumanMethylation27 whole-genome methylation analysis system. Differential methylation between normal tissue, adenoma and carcinoma was analysed using Bayesian regression modelling, gene set enrichment analysis (GSEA) and hierarchical clustering (HC). The highest-rated individual gene for differential methylation in carcinomas versus normal tissue and adenomas versus normal tissue was GRASP (padjusted = 1.59 × 10–5, BF = 12.62, padjusted = 1.68 × 10–6, BF = 14.53). The highest-rated gene when comparing carcinomas versus adenomas was ATM (padjusted = 2.0 × 10–4, BF = 10.17). Hierarchical clustering demonstrated poor clustering by the CIMP criteria for methylation. GSEA demonstrated methylation changes in the Netrin–DCC and SLIT–ROBO pathways. Widespread changes in DNA methylation are seen in the transition from adenoma to carcinoma. The finding that GRASP, which encodes the general receptor for phosphoinositide 1-associated scaffold protein, was differentially methylated in colorectal cancer is interesting. This may be a potential biomarker for colorectal cancer. Copyright © 2012 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

Child Abuse and Epigenetic Mechanisms of Disease Risk

Child abuse is highly prevalent and associated with increased risk for a range of health problems, including cancer, cardiovascular disease, diabetes, psychiatric disorders, and other health problems. Little is currently known about the mechanism by which early adversity confers risk for health problems later in life. To determine if there are epigenetic differences associated with child maltreatment that may help explain association between adverse childhood experiences and later health problems. As part of a study examining genetic and environmental factors associated with depression, saliva DNA specimens were collected on 96 maltreated children removed from their parents due to abuse or neglect and 96 demographically matched control children between 2003 and 2010. In 2011, the Illumina 450K BeadChip was used on stored DNA specimens and analyzed to examine whole-genome methylation differences between maltreated and control children. After controlling for multiple comparisons, maltreated and control children had significantly different methylation values at 2868 CpG sites (p<5.0 × 10(-7), all sites; average methylation difference per site=17%; range=1%-62%). The gene set contained numerous markers of diseases and biological processes related to the health problems associated with early childhood adversity. Although replication is required, this study suggests that epigenetic mechanisms may be associated with risk for health problems later in life in maltreated children. This study lays the groundwork for future studies examining health and methylation measures to further characterize the role of epigenetic mechanisms in conferring risk for medical problems in individuals with histories of early adversity.

TMEM25Is a Candidate Biomarker Methylated and Down-Regulated in Colorectal Cancer

The identification of novel genes involved in colorectal cancerogenesis is of high clinical relevance for early diagnosis, applying new therapeutic strategies and monitoring disease recurrence, in order to reduce disease incidence and mortality. Gene silencing through CpG island hypermethylation is a major epigenetic mechanism involved in cancer development. In our study, we aimed to identify and validate novel genes with a tumour specific DNA methylation profile in colorectal cancer. We performed a whole-genome methylation scan and identified several possible candidate genes that are hypermethylated in tumour in comparison to healthy colon mucosa. Using methylation-specific high-resolution melting analysis in a set consisting of 133 colorectal cancer samples, we were able to confirm an altered CpG site inTMEM25in 69.2% (92/133) tumours analysed. Furthermore, the expression ofTMEM25was found to be significantly lower in tumour tissue. An inverse correlation between hypermethylation ofTMEM25andTMEM25down-regulated expression was observed.Our results suggest that epigenetic down-regulation ofTMEM25is cancer-related; we thus suggest thatTMEM25hypermethylation might play a significant role in altering expression of this gene in colorectal cancer.

TMEM25 is a candidate biomarker methylated and down-regulated in colorectal cancer.

The identification of novel genes involved in colorectal cancerogenesis is of high clinical relevance for early diagnosis, applying new therapeutic strategies and monitoring disease recurrence, in order to reduce disease incidence and mortality. Gene silencing through CpG island hypermethylation is a major epigenetic mechanism involved in cancer development. In our study, we aimed to identify and validate novel genes with a tumour specific DNA methylation profile in colorectal cancer. We performed a whole-genome methylation scan and identified several possible candidate genes that are hypermethylated in tumour in comparison to healthy colon mucosa. Using methylation-specific high-resolution melting analysis in a set consisting of 133 colorectal cancer samples, we were able to confirm an altered CpG site in TMEM25 in 69.2% (92/133) tumours analysed. Furthermore, the expression of TMEM25 was found to be significantly lower in tumour tissue. An inverse correlation between hypermethylation of TMEM25 and TMEM25 down-regulated expression was observed.Our results suggest that epigenetic down-regulation of TMEM25 is cancer-related; we thus suggest that TMEM25 hypermethylation might play a significant role in altering expression of this gene in colorectal cancer.

Methylation of HPV18, HPV31, and HPV45 Genomes and Cervical Intraepithelial Neoplasia Grade 3

Persistent infections with carcinogenic human papillomavirus (HPV) types are the necessary cause of cervical cancer. We recently demonstrated that the HPV16 genome is strongly methylated in cervical precancer compared with transient infections. However, the extent of methylation in other HPV types and its role in progression to cancer is poorly understood. We analyzed whole-genome methylation patterns of the three next most carcinogenic HPV genotypes: HPV31 (closely related to HPV16), and two other closely related types, HPV18 and HPV45. DNA was extracted from cervical cytology specimens from 92 women with precancer and 96 women infected with HPV31, HPV18, or HPV45, but who had no cytological or histological abnormalities. After bisulfite modification, genome-wide pyrosequencing was performed covering 80-106 sites. We calculated differences in median methylation, odds ratios, areas under the curve, and Spearman rank correlation coefficients for methylation levels between different sites. All statistical tests were two-sided. For all three HPV types, we observed strongly elevated methylation levels at multiple CpG sites in the E2, L2, and L1 regions among women with cervical intraepithelial neoplasia grade 3 compared with women with transient infections. We observed high correlation of methylation patterns between phylogenetically related types. The highest areas under the curve were 0.81 for HPV31, 0.85 for HPV18, and 0.98 for HPV45. Differential methylation patterns in cervical intraepithelial neoplasia grade 3 patients with multiple infections suggest that methylation can clarify which of the infections is causal. Carcinogenic HPV DNA methylation indicates transforming HPV infections. Our findings show that methylation of carcinogenic HPV types is a general phenomenon that warrants development of diagnostic assays.

Whole genome methylation profiles as independent markers of survival in stage IIIC melanoma patients

BackgroundThe clinical course of cutaneous melanoma (CM) can differ significantly for patients with identical stages of disease, defined clinico-pathologically, and no molecular markers differentiate patients with such a diverse prognosis. This study aimed to define the prognostic value of whole genome DNA methylation profiles in stage III CM.MethodsGenome-wide methylation profiles were evaluated by the Illumina Human Methylation 27 BeadChip assay in short-term neoplastic cell cultures from 45 stage IIIC CM patients. Unsupervised K-means partitioning clustering was exploited to sort patients into 2 groups based on their methylation profiles. Methylation patterns related to the discovered groups were determined using the nearest shrunken centroid classification algorithm. The impact of genome-wide methylation patterns on overall survival (OS) was assessed using Cox regression and Kaplan-Meier analyses.ResultsUnsupervised K-means partitioning by whole genome methylation profiles identified classes with significantly different OS in stage IIIC CM patients. Patients with a “favorable” methylation profile had increased OS (P = 0.001, log-rank = 10.2) by Kaplan-Meier analysis. Median OS of stage IIIC patients with a “favorable” vs. “unfavorable” methylation profile were 31.5 and 10.4 months, respectively. The 5 year OS for stage IIIC patients with a “favorable” methylation profile was 41.2% as compared to 0% for patients with an “unfavorable” methylation profile. Among the variables examined by multivariate Cox regression analysis, classification defined by methylation profile was the only predictor of OS (Hazard Ratio = 2.41, for “unfavorable” methylation profile; 95% Confidence Interval: 1.02-5.70; P = 0.045). A 17 gene methylation signature able to correctly assign prognosis (overall error rate = 0) in stage IIIC patients on the basis of distinct methylation-defined groups was also identified.ConclusionsA discrete whole-genome methylation signature has been identified as molecular marker of prognosis for stage IIIC CM patients. Its use in daily practice is foreseeable, and promises to refine the comprehensive clinical management of stage III CM patients.

Divergent Whole-Genome Methylation Maps of Human and Chimpanzee Brains Reveal Epigenetic Basis of Human Regulatory Evolution

DNA methylation is a pervasive epigenetic DNA modification that strongly affects chromatin regulation and gene expression. To date, it remains largely unknown how patterns of DNA methylation differ between closely related species and whether such differences contribute to species-specific phenotypes. To investigate these questions, we generated nucleotide-resolution whole-genome methylation maps of the prefrontal cortex of multiple humans and chimpanzees. Levels and patterns of DNA methylation vary across individuals within species according to the age and the sex of the individuals. We also found extensive species-level divergence in patterns of DNA methylation and that hundreds of genes exhibit significantly lower levels of promoter methylation in the human brain than in the chimpanzee brain. Furthermore, we investigated the functional consequences of methylation differences in humans and chimpanzees by integrating data on gene expression generated with next-generation sequencing methods, and we found a strong relationship between differential methylation and gene expression. Finally, we found that differentially methylated genes are strikingly enriched with loci associated with neurological disorders, psychological disorders, and cancers. Our results demonstrate that differential DNA methylation might be an important molecular mechanism driving gene-expression divergence between human and chimpanzee brains and might potentially contribute to the evolution of disease vulnerabilities. Thus, comparative studies of humans and chimpanzees stand to identify key epigenomic modifications underlying the evolution of human-specific traits.

The aging epigenome: DNA methylation from the cradle to the grave

Whole-genome methylation analysis of newborns and centenarians reveals widespread epigenetic alterations, and provides new insight into age-related methylation pattern changes.

The aging epigenome: DNA methylation from the cradle to the grave

Whole-genome methylation analysis of newborns and centenarians reveals widespread epigenetic alterations, and provides new insight into age-related methylation pattern changes.

Differential patterns of whole-genome DNA methylation in institutionalized children and children raised by their biological parents

Previous studies with nonhuman species have shown that animals exposed to early adversity show differential DNA methylation relative to comparison animals. The current study examined differential methylation among 14 children raised since birth in institutional care and 14 comparison children raised by their biological parents. Blood samples were taken from children in middle childhood. Analysis of whole-genome methylation patterns was performed using the Infinium HumanMethylation27 BeadChip assay (Illumina), which contains 27,578 CpG sites, covering approximately 14,000 gene promoters. Group differences were registered, which were characterized primarily by greater methylation in the institutionalized group relative to the comparison group, with most of these differences in genes involved in the control of immune response and cellular signaling systems, including a number of crucial players important for neural communication and brain development and functioning. The findings suggest that patterns of differential methylation seen in nonhuman species with altered maternal care are also characteristic of children who experience early maternal separation.

Epigenetic Impact of Long-Term Shiftwork: Pilot Evidence From Circadian Genes and Whole-Genome Methylation Analysis

Epigenetic association studies have demonstrated differential promoter methylation in the core circadian genes in breast cancer cases relative to cancer-free controls. The current pilot study aims to investigate whether epigenetic changes affecting breast cancer risk could be caused by circadian disruption through exposure to light at night. Archived DNA samples extracted from whole blood of 117 female subjects from a prospective cohort conducted in Denmark were included in this study. A polymerase chain reaction (PCR)-based method was used for detection of gene-promoter methylation, whereas genome-wide methylation analysis was performed using the Illumina Infinium Methylation Chip. Long-term shiftwork resulted in the same promoter hypomethylation of CLOCK and hypermethylation of CRY2, as was previously observed in breast cancer case-control studies. Genome-wide methylation analysis further discovered widespread methylation alterations in shiftworkers, including changes in many methylation- and cancer-relevant genes. Pathway analysis of the genes with altered methylation patterns revealed several cancer-related pathways. One of the top three networks generated was designated as “DNA replication, recombination, and repair, gene expression, behavior” with ESR1 (estrogen receptor α) featured most prominently in the network, underscoring the potential breast cancer relevance of the genes differentially methylated in long-term shiftworkers. These results, although exploratory, demonstrate the first evidence of the cancer-relevant epigenetic effects of night shiftwork, which warrant further investigation. Considering there are millions of shiftworkers worldwide, understanding the effects of this exposure may lead to novel strategies for cancer prevention and new policies regulating shiftwork. (Author correspondence: yong.zhu@yale.edu)

MiR-185 Targets the DNA Methyltransferases 1 and Regulates Global DNA Methylation in human glioma

BackgroundPerturbation of DNA methylation is frequent in cancers and has emerged as an important mechanism involved in tumorigenesis. To determine how DNA methylation is modified in the genome of primary glioma, we used Methyl-DNA immunoprecipitation (MeDIP) and Nimblegen CpG promoter microarrays to identify differentially DNA methylation sequences between primary glioma and normal brain tissue samples.MethodsMeDIP-chip technology was used to investigate the whole-genome differential methylation patterns in glioma and normal brain tissues. Subsequently, the promoter methylation status of eight candidate genes was validated in 40 glioma samples and 4 cell lines by Sequenom's MassARRAY system. Then, the epigenetically regulated expression of these genes and the potential mechanisms were examined by chromatin immunoprecipitation and quantitative real-time PCR.ResultsA total of 524 hypermethylated and 104 hypomethylated regions were identified in glioma. Among them, 216 hypermethylated and 60 hypomethylated regions were mapped to the promoters of known genes related to a variety of important cellular processes. Eight promoter-hypermethylated genes (ANKDD1A, GAD1, HIST1H3E, PCDHA8, PCDHA13, PHOX2B, SIX3, and SST) were confirmed in primary glioma and cell lines. Aberrant promoter methylation and changed histone modifications were associated with their reduced expression in glioma. In addition, we found loss of heterozygosity (LOH) at the miR-185 locus located in the 22q11.2 in glioma and induction of miR-185 over-expression reduced global DNA methylation and induced the expression of the promoter-hypermethylated genes in glioma cells by directly targeting the DNA methyltransferases 1.ConclusionThese comprehensive data may provide new insights into the epigenetic pathogenesis of human gliomas.

Identification and validation of highly frequent CpG island hypermethylation in colorectal adenomas and carcinomas

In our study, whole-genome methylation arrays were applied to identify novel genes with tumor specific DNA methylation of promoter CpG islands in pre-malignant and malignant colorectal lesions. Using a combination of Illumina HumanMethylation27 beadchips, Methylation-Sensitive High Resolution Melting (MS-HRM) analysis, and Exon arrays (Affymetrix) the DNA methylation pattern of ∼14,000 genes and their transcript levels were investigated in six normal mucosas, six adenomas and 30 MSI and MSS carcinomas. Sixty eight genes with tumor-specific hypermethylation were identified (p < 0.005). Identified hypermethylated sites were validated in an independent sample set of eight normal mucosas, 12 adenomas, 40 MSS and nine MSI cancer samples. The methylation patterns of 15 selected genes, hypermethylated in adenomas and carcinomas (FLI1, ST6GALNAC5, TWIST1, ADHFE1, JAM2, IRF4, CNRIP1, NRG1 and EYA4), in carcinomas only (ABHD9, AOX1 and RERG), or in MSI but not MSS carcinomas (RAMP2, DSC3 and MLH1) were validated using MS-HRM. Four of these genes (MLH1, AOX1, EYA4 and TWIST1) had previously been reported to be hypermethylated in CRC. Eleven genes, not previously known to be affected by CRC specific hypermethylation, were identified and validated. Inverse correlation to gene expression was observed for six of the 15 genes with Spearman correlation coefficients ranging from -0.39 to -0.60. For six of these genes the altered methylation patterns had a profound transcriptional association, indicating that methylation of these genes may play a direct regulatory role. The hypermethylation changes often occurred already in adenomas, indicating that they may be used as biomarkers for early detection of CRC.