Detection Of Methylation Changes Research Articles

Abstract 5152: Mutation-agnostic detection of colorectal cancer-specific cell-free DNA using targeted methylation sequencing

Abstract BACKGROUND: Tumor-specific methylation changes in DNA CpG sites commonly occur in cancer and are believed to drive oncogenesis through gene silencing. Detection of methylation changes in circulating cell-free DNA (cfDNA) can offer a novel approach for cancer diagnostics. METHODS: Plasma samples from healthy controls and from patients with advanced colorectal and non-colorectal cancers were included in the study. Bisulfite conversion of cfDNA extracted from plasma was performed using EZ DNA Methylation Lightning Kit (Zymo Research) and was followed by library preparation using Accel-NGS Methyl-Seq DNA Library Kit (Swift Biosciences) and target enrichment using xGen Hybridization Capture for NGS Kit (IDT). Targeted methylation sequencing was done using NextSeq500 mid-output flow cell (300 cycles) (Illumina). Detection rates of methylation ratios in colorectal cancer samples were compared to non-colorectal cancers and healthy controls. RESULTS: First, we reviewed methylation changes in nearly 9,000 CpG sites in colorectal cancer (through TCGA database) and healthy controls. Subsequently, 32 CpG sites with greater than 50% methylation ratio in colorectal cancer and less than 1% methylation ratio in healthy controls were selected to develop targeted methylation sequencing based cfDNA assay. The assay was performed in 32 plasma samples from 20 individuals with advanced colorectal cancer who had tumor KRAS mutation, 8 individuals with advanced non-colorectal cancer who had tumor KRAS mutation (ovarian, n=2; endometrial, n=2; pancreatic, n=2; and lung cancer, n=2), and 4 healthy controls. Colorectal cancer specific methylation changes in cfDNA were detected in 85% (17/20) of colorectal cancer patients with a specificity of 92%. In colorectal cancer patients with confirmed KRAS mutation in cfDNA, methylation changes were detected in 92% (11/12) in comparison to 75% (6/8) in colorectal cancer patients without KRAS mutation in cfDNA. Median methylation ratio for target CpG sites was higher in colorectal cancer patients compared to patients with non-colorectal cancers and healthy controls (p<0.001). In 17 colorectal cancer patients with plasma samples collected before initiation of systemic cancer therapy, detection of methylation changes in cfDNA was associated with a shorter median progression-free survival compared to no detection (PFS; 8 weeks versus 54 weeks; p=0.027). CONCLUSIONS: Targeted methylation sequencing of cfDNA demonstrated high sensitivity and specificity for detection of colorectal cancer-specific cfDNA. Colorectal cancer patients with methylated cfDNA had shorter PFS while on cancer therapy. Citation Format: Mohamed A. Gouda, Dzifa Y. Duose, Morten Lapin, Stephanie Zalles, Helen J. Huang, Yuanxin Xi, Xiaofeng Zheng, Amira I. Aldesoky, Alshimaa M. Alhanafy, Mohamed A. Shehata, Jing Wang, Scott Kopetz, Funda Meric-Bernstam, Ignacio I. Wistuba, Rajyalakshmi Luthra, Filip Janku. Mutation-agnostic detection of colorectal cancer-specific cell-free DNA using targeted methylation sequencing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5152.

Abstract 6283: Reannotation and normalisation of Infinium 850k data for improved analysis of methylation at enhancers and non-coding RNAs

Abstract In this study, we evaluated the MethylationEPIC BeadChip (850k) technology for enhancer methylation analysis with respect to RRBS, both high-throughput technologies commonly used to screen large patient cohorts. We developed and applied a new approach to re-annotate the 850k data, which greatly improved the association of probes to enhancers and show that 850k targets more enhancers than RRBS. We further investigated the reproducibility of the two technologies and applied various existing normalization methods to 850k data that reduce variability between replicates and variability with other technologies. We thereby showed that normalization methods developed for 450k greatly reduced variability in 850k data to a level below that of highly variable RRBS data. We finally performed differential methylation analysis with 850k data from breast cancer samples applying our new re-annotation method and highlight that the majority of differentially methylated cytosines were detected with probes specific to the 850k mapping to enhancers, confirming the deregulation of enhancer methylation in breast cancer. In summary, our study provides a new annotation for the 850k array, which greatly increases the number of cytosines mapping to enhancers and therefore allows for the improved analysis of enhancer methylation. Overall, we conclude that the 850k array allows for detection of methylation changes in regions not covered by previous Infinium arrays and is the best choice, as compared to RRBS, for high-throughput analysis of enhancer methylation in large clinical cohorts. Citation Format: Martin Bizet, Matthieu Defrance, Emilie Calonne, Gianluca Bontempi, François Fuks, Jana Jeschke. Reannotation and normalisation of Infinium 850k data for improved analysis of methylation at enhancers and non-coding RNAs [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 6283.

A novel methyl-dependent DNA endonuclease GlaI coupling with double cascaded strand displacement amplification and CRISPR/Cas12a for ultra-sensitive detection of DNA methylation

Detection of methylation changes associated with oncogenic transformation is essential for early screening and treatment of cancer. Herein, we propose a novel DNA methylation detection assay based on the methyl-dependent DNA endonuclease GlaI coupling with double cascaded strand displacement amplification and CRISPR/Cas12a (GlaI-DC-SDA-CRISPR/Cas12a). The GlaI enables highly specific recognition and digestion of methylated target site (dsDNA) but leaves unmethylated target intact. Therefore, only methylated DNA can be digested to produce two free 3′-OH terminus for triggering the next SDA-CRISPR/Cas12a. Compared with the fluorescence response under single amplification template, DC-SDA with double amplification templates shows higher sensitivity. Benefiting from the high specificity of GlaI and the cascaded amplification effect of DC-SDA combined with CRISPR/Cas12a, the proposed method shows excellent performance for DNA methylation detection with low LOD (1.28 × 10−13 M), ultra-low background interference and wide detection range (2 × 10−13 to 4 × 10−11, 4 × 10−11 to 1 × 10−8 M). 0.1% of DNA methylation can be discriminated from the mixture with a mass of unmethylated DNA. Most importantly, the proposed assay can be applied to the actual detection of human serum and genomic DNA, as well as to distinguish normal cells from cancer cells. It can also quantify DNA methylation in genomic DNA (HCT116) with a LOD of 37.95 ng, indicating its great potential in early clinical cancer screening.

Hypermethylation of PDX1, EN2, and MSX1 predicts the prognosis of colorectal cancer

Despite numerous observations regarding the relationship between DNA methylation changes and cancer progression, only a few genes have been verified as diagnostic biomarkers of colorectal cancer (CRC). To more practically detect methylation changes, we performed targeted bisulfite sequencing. Through co-analysis of RNA-seq, we identified cohort-specific DNA methylation markers: CpG islands of the intragenic regions of PDX1, EN2, and MSX1. We validated that these genes have oncogenic features in CRC and that their expression levels are increased in correlation with the hypermethylation of intragenic regions. The reliable depth of the targeted bisulfite sequencing data enabled us to design highly optimized quantitative methylation-specific PCR primer sets that can successfully detect subtle changes in the methylation levels of candidate regions. Furthermore, these methylation levels can divide CRC patients into two groups denoting good and poor prognoses. In this study, we present a streamlined workflow for screening clinically significant differentially methylated regions. Our discovery of methylation markers in the PDX1, EN2, and MSX1 genes suggests their promising performance as prognostic markers and their clinical application in CRC patients.

DNA methylation defects in spermatozoa of male partners from couples experiencing recurrent pregnancy loss.

What is the sperm DNA methylation status of imprinted genes in male partners from couples experiencing recurrent pregnancy loss (RPL)? Aberrations in sperm DNA methylation status of several imprinted genes, such as insulin like growth factor-2-H19 differentially methylated region (IGF2-H19 DMR), intergenic differentially methylated region (IG-DMR), mesoderm specific transcript (MEST),zinc finger protein which regulates apoptosis and cell cycle arrest (ZAC), DMR in intron 10 of KCNQ1 gene (KvDMR), paternally expressed gene 3 (PEG3) and paternally expressed gene 10 (PEG10), as well as decreased sperm global 5-methylcytosine (5mC) levels, are associated with RPL. RPL is defined as loss of two or more pregnancies, affecting 1-2% of couples of reproductive age. Although there are several maternal and paternal aetiological factors contributing to RPL, nearly 50% of the cases remain idiopathic. Thus, there is a need to identify putative paternal factors that could be contributing towards pregnancy loss in cases of idiopathic RPL. In this case-control study, 112 couples undergoing RPL with no identifiable cause were recruited from September 2015 to May 2018. The control group comprised of 106 healthy proven fertile couples with no history of infertility or miscarriage. In this study, we investigated the paternal genetic and epigenetic factors that could be associated with RPL. We studied DNA methylation, by pyrosequencing, of selected imprinted genes implicated in embryo development, such as IGF2-H19 DMR, IG-DMR, MEST, ZAC, KvDMR, PEG3, PEG10 and small nuclear ribonucleoprotein polypeptide N (SNRPN) in sperm of men whose partners present RPL. Global DNA methylation in sperm was evaluated by studying 5mC content and long interspersed nuclear element 1 (LINE1) promoter methylation. We also studied polymorphisms by pyrosequencing in the IGF2-H19 DMR as well in the IGF2 promoter in both groups. In the RPL group, we found a significant decrease in the global sperm 5mC levels and significant decrease in DNA methylation at three CpG sites in LINE1 promoter. For IGF2-H19 DMR and IG-DMR, a significant decrease in sperm DNA methylation at specific CpG sites was observed in RPL group. For maternally imprinted genes like MEST, ZAC, KvDMR, PEG3 and PEG10 hypermethylation was noted. Polymorphism studies for IGF2-H19 DMR and IGF2 revealed significant differences in the genotypic frequencies in males. In this study, we analysed the methylation levels of selected candidate imprinted genes implicated in embryo development. Detection of methylation changes occurring at the genome-wide level may reveal further candidate genes having a better distinction between the control and study groups. Our study demonstrates that certain polymorphisms and aberrant sperm methylation status in imprinted genes are associated with RPL and could contribute to the aetiology of RPL. This study suggests that investigation of paternal genetic and epigenetic factors could be useful in identification of possible causes of idiopathic RPL. This study was funded by Department of Science and Technology-Science and Engineering Research Board (EMR/2014/000145) and National Institute for Research in Reproductive Health intramural funds (RA/872/01-2020). All authors declare no conflict of interest. N/A.

DNA Methylation and Breast Cancer Risk: An Epigenome-Wide Study of Normal Breast Tissue and Blood.

Simple SummaryAs known breast cancer risk factors do not accurately predict the risk of developing breast cancer, breast cancer screening is still based solely on age. At the interface between environmental exposures and gene expression, DNA methylation patterns are potential biomarkers for assessing breast cancer risk, thus allowing for implementation of personalized screening and risk-reducing strategies. We used a comprehensive high-throughput DNA methylation assay in an unprecedented study design of normal breast epithelial tissue to detect methylation changes that are causally related to breast cancer occurrence and replicated our analyses in two independent datasets of normal breast tissue and blood. We identified several methylation differences in cancer-related genes, some of which overlapped between normal breast tissue and blood and were reported in previous studies. Our findings warrant further investigation on novel biomarkers for identifying women that will benefit the most from breast cancer screening.Differential DNA methylation is a potential marker of breast cancer risk. Few studies have investigated DNA methylation changes in normal breast tissue and were largely confounded by cancer field effects. To detect methylation changes in normal breast epithelium that are causally associated with breast cancer occurrence, we used a nested case–control study design based on a prospective cohort of patients diagnosed with a primary invasive hormone receptor-positive breast cancer. Twenty patients diagnosed with a contralateral breast cancer (CBC) were matched (1:1) with 20 patients who did not develop a CBC on relevant risk factors. Differentially methylated Cytosine-phosphate-Guanines (CpGs) and regions in normal breast epithelium were identified using an epigenome-wide DNA methylation assay and robust linear regressions. Analyses were replicated in two independent sets of normal breast tissue and blood. We identified 7315 CpGs (FDR < 0.05), 52 passing strict Bonferroni correction (p < 1.22 × 10−7) and 43 mapping to known genes involved in metabolic diseases with significant enrichment (p < 0.01) of pathways involving fatty acids metabolic processes. Four differentially methylated genes were detected in both site-specific and regions analyses (LHX2, TFAP2B, JAKMIP1, SEPT9), and three genes overlapped all three datasets (POM121L2, KCNQ1, CLEC4C). Once validated, the seven differentially methylated genes distinguishing women who developed and who did not develop a sporadic breast cancer could be used to enhance breast cancer risk-stratification, and allow implementation of targeted screening and preventive strategies that would ultimately improve breast cancer prognosis.

Hypomethylation in HBV integration regions aids non-invasive surveillance to hepatocellular carcinoma by low-pass genome-wide bisulfite sequencing

BackgroundCirculating cell-free DNA (cfDNA) methylation has been demonstrated to be a promising approach for non-invasive cancer diagnosis. However, the high cost of whole genome bisulfite sequencing (WGBS) hinders the clinical implementation of a methylation-based cfDNA early detection biomarker. We proposed a novel strategy in low-pass WGBS (~ 5 million reads) to detect methylation changes in circulating cell-free DNA (cfDNA) from patients with liver diseases and hepatocellular carcinoma (HCC).MethodsThe effective small sequencing depth were determined by 5 pilot cfDNA samples with relative high-depth WGBS. CfDNA of 51 patients with hepatitis, cirrhosis, and HCC were conducted using low-pass WGBS. The strategy was validated in an independent WGBS cohort of 32 healthy individuals and 26 early-stage HCC patients. Fifteen paired tumor tissue and buffy coat samples were used to characterize the methylation of hepatitis B virus (HBV) integration regions and genome distribution of cfDNA.ResultsA significant enrichment of cfDNA in intergenic and repeat regions, especially in previously reported HBV integration sites were observed, as a feature of cfDNA and the bias of cfDNA release. Methylation profiles nearby HBV integration sites were a better indicator for hypomethylation of tumor genome comparing to Alu and LINE (long interspersed nuclear element) repeats, and were able to facilitate the cfDNA-based HCC prediction. Hypomethylation nearby HBV integration sites (5 kb flanking) was detected in HCC patients, but not in patients with hepatitis and cirrhosis (MethylHBV5k, median:0.61 vs 0.72, P = 0.0003). Methylation levels of integration sites certain candidate regions exhibited an area under the receiver operation curve (AUC) value > 0.85 to discriminate HCC from non-HCC samples. The validation cohort achieved the prediction performance with an AUC of 0.954.ConclusionsHypomethylation around viral integration sites aids low-pass cfDNA WGBS to serve as a non-invasive approach for early HCC detection, and inspire future efforts on tumor surveillance for oncovirus with integration activity.

Genetic and epigenetic analysis of the beta-2-microglobulin gene in microsatellite instable colorectal cancer.

One of the most common mechanisms of immune evasion in MSI colorectal cancers (CRCs) is loss of HLA class I expression due to mutations in B2M gene which can become a negative predictor for checkpoint blockade therapy. The aim of this study was the determination of prevalence of B2M somatic mutations in MSI CRC patients and relationship between B2M mutations and lymphocytes infiltration and other clinicopathological features as well as detection of methylation changes in B2M promoter region which can be another mechanism of immune escape. In our study, 37 MSI-H and 5 MSI-L patients were selected for screening of B2M mutational and methylation status. The characterization of patients was based on standard histopathological diagnosis and TNM classification; BRAF, KRAS mutations, tumor-infiltrating lymphocytes and peritumoral lymphoid reaction were also determined. MSI analysis was performed using fragment analysis. B2M mutations were identified by Sanger sequencing, and methylation of CpG islands in promoter region was detected by methylation-specific PCR. Heterozygous mutations in the B2M gene were detected in five MSI-H patients (13.5%), while the mutation c.45_48delTTCT was determined in four patients and mutation c.276delC was found in two patients. One of these five patients was compound heterozygote harboring both mutations. Methylation of the promoter region of the B2M gene was observed in one patient with MSI-H colorectal cancer. Detection of genetic and epigenetic changes in B2M gene could be important in personalized therapy for CRC patients as these changes may be one of the mechanisms of secondary resistance of MSI positive tumors to immunotherapy.

DNA methylation analysis for screening and diagnostic testing in neurodevelopmental disorders.

DNA methylation (mDNA) plays an important role in the pathogenesis of neurodevelopmental disorders (NDDs), however its use in diagnostic testing has been largely restricted to a handful of methods for locus-specific analysis in monogenic syndromes. Recent studies employing genome-wide methylation analysis (GWMA) have explored utility of a single array-based test to detect methylation changes in probands negative by exome sequencing, and to diagnose different monogenic NDDs with defined epigenetic signatures. While this may be a more efficient approach, several significant barriers remain. These include non-uniform and low coverage of regulatory regions that may have CG-rich sequences, and lower analytical sensitivity as compared with locus-specific analyses that may result in methylation mosaicism not being detected. A major challenge associated with the above technologies, regardless of whether the analysis is locus specific or genome wide, is the technical bias introduced by indirect analysis of methylation. This review summarizes evidence from the most recent studies in this field and discusses future directions, including direct analysis of methylation using long-read technologies and detection of 5-methylcytosine (5-mC or total mDNA) and 5-hydroxymethylacytosine (5-hmC) as biomarkers of NDDs.

Longitudinal Multilevel Omic Analysis of Pediatric T-ALL Reveals Distinct Mechanisms for Disease Progression in Type 1 and in Type 2 Relapses

We aimed at understanding the relapse-driving processes in pediatric T-ALL and performed an integrated longitudinal multi-level omics analysis of 13 T-ALL patients at initial diagnosis (INI) and relapse (REL). We compared the mutation (SNV/InDels) and copy number alteration (CNA) patterns as well as gene expression, methylation levels and chromatin accessibility by ATAC-Seq.Aberrant expression of T-ALL transcription factors (TAL1, TAL2,LMO2, TLX1, TLX3, NKX2.4 and NKX2.5) was preserved from initial presentation to relapse in all patients. These leukemia-driving events defined the expression patterns, methylation profiles and the chromatin accessibility landscapes.A global differential analysis of the RNA-Seq data (DESeq2, padj<.05) revealed only 0.3% of the genes to be either up- or down-regulated at relapse when compared to the matched initial sample. Likewise, we detected methylation changes in only 3% of the promoters and differential chromatin accessibility in only 0.26% of the analyzed ATAC-peaks (DESeq2, padj<.05).We then focused our analysis on the 2 types of relapse in pediatric T-ALL, which we have previously defined on the basis of subclonal mutation profiles (Kunz et al., 2015). These types of relapse are characterized by either clonal evolution of cells derived from the major clone at initial presentation (type 1) or emergence and evolution of a minor initial clone showing a molecular profile that is distinct from the predominant initial clone (type 2). When considering type 1 and type 2 relapses separately we identified a strong trend for type 2 relapses to acquire more mutations (p=0.0879, ttest) than type 1 relapses. Further to the known activating mutations in NT5C2 acquired at relapse by 8/13 patients no other mutations or CNAs were recurrently acquired in the relapses of this group of patients. However, mutations in proto-oncogenes or genes involved in DNA surveillance were acquired by 7/8 type 2 relapse patients in our series. Changes of CNAs also occurred more frequently in type 2 than in type 1 relapses (pval= 0.0267, ttest). This increased complexity on the genetic level was also apparent on the epigenetic level, with an increase of changes in the methylation pattern (mean difference in β value between INI and REL: type 1 - 0.00034; type2 - 0.002 (pval< 0.0001, chi2)), chromatin accessibility (number of differentially accessible ATAC-peaks: type 1 - 4 (0.006%) ; type 2 - 1018 (1.3%); (pval< 0.0001, chi2)) and on the expression level (number of differentially expressed genes: type 1 - 11; type 2 - 111, pval<0.0001, chi2).When considering differences between leukemias at the time of initial diagnosis, which later develop either type 1 or type 2 relapses we found 1.016 genes to be differentially expressed (524: up; 492: down in type 1; DE-Seq2: padj<0.05). Differential expression analysis revealed that genes involved in early T-cell differentiation were upregulated at initial diagnosis of type 1 in comparison to initial diagnosis of type 2, which was also reflected by more accessible chromatin surrounding their cis-regulatory regions as analyzed by ATAC-seq suggesting an early arrest of these samples during differentiation process. Altogether 1.4% of all ATAC-peaks were more accessible in type 1, whereas 0.7% of peaks were more accessible in type 2 leukemia (DE-Seq2: p<0.05). Remarkably, the chromatin surrounding DNA-repair genes was more accessible in initial leukemias of type 1, which was reflected by up-regulated mRNA expression level of such genes. These data suggest that an increased propensity of DNA repair may represent an important mechanism of T-ALL to develop a type 1 relapse, an interpretation that is consistent with previous reports linking the epigenetic silencing of the methylguanine-DNA methyltransferase promoter with compromised DNA repair and longer survival in patients with glioblastoma receiving alkylating agents (Esteller et. al., 2000).In sum, the multilevel omic comparison of pediatric T-ALL that develop either a type 1 or a type 2 relapse show remarkably more complex changes of the genetic and epigenetic profiles during the transition from initial to relapsing disease. Notably, pediatric T-ALLs, who later develop a type 1 relapse display an epigenetic and transcriptomic landscape predicting an upregulation of DNA repair functions, which we suggest to potentially play a role in developing resistance to DNA damaging agents in this type of relapse. DisclosuresMuckenthaler:Novartis: Research Funding. Bourquin:Amgen: Other: Travel Support. Kulozik:bluebird bio: Consultancy, Honoraria.

Diet changes alter paternally inherited epigenetic pattern in male Wild guinea pigs.

Epigenetic modifications, of which DNA methylation is the most stable, are a mechanism conveying environmental information to subsequent generations via parental germ lines. The paternal contribution to adaptive processes in the offspring might be crucial, but has been widely neglected in comparison to the maternal one. To address the paternal impact on the offspring’s adaptability to changes in diet composition, we investigated if low protein diet (LPD) in F0 males caused epigenetic alterations in their subsequently sired sons. We therefore fed F0 male Wild guinea pigs with a diet lowered in protein content (LPD) and investigated DNA methylation in sons sired before and after their father’s LPD treatment in both, liver and testis tissues. Our results point to a ‘heritable epigenetic response’ of the sons to the fathers’ dietary change. Because we detected methylation changes also in the testis tissue, they are likely to be transmitted to the F2 generation. Gene-network analyses of differentially methylated genes in liver identified main metabolic pathways indicating a metabolic reprogramming (‘metabolic shift’). Epigenetic mechanisms, allowing an immediate and inherited adaptation may thus be important for the survival of species in the context of a persistently changing environment, such as climate change.

Redundancy analysis allows improved detection of methylation changes in large genomic regions

BackgroundDNA methylation is an epigenetic process that regulates gene expression. Methylation can be modified by environmental exposures and changes in the methylation patterns have been associated with diseases. Methylation microarrays measure methylation levels at more than 450,000 CpGs in a single experiment, and the most common analysis strategy is to perform a single probe analysis to find methylation probes associated with the outcome of interest. However, methylation changes usually occur at the regional level: for example, genomic structural variants can affect methylation patterns in regions up to several megabases in length. Existing DMR methods provide lists of Differentially Methylated Regions (DMRs) of up to only few kilobases in length, and cannot check if a target region is differentially methylated. Therefore, these methods are not suitable to evaluate methylation changes in large regions. To address these limitations, we developed a new DMR approach based on redundancy analysis (RDA) that assesses whether a target region is differentially methylated.ResultsUsing simulated and real datasets, we compared our approach to three common DMR detection methods (Bumphunter, blockFinder, and DMRcate). We found that Bumphunter underestimated methylation changes and blockFinder showed poor performance. DMRcate showed poor power in the simulated datasets and low specificity in the real data analysis. Our method showed very high performance in all simulation settings, even with small sample sizes and subtle methylation changes, while controlling type I error. Other advantages of our method are: 1) it estimates the degree of association between the DMR and the outcome; 2) it can analyze a targeted or region of interest; and 3) it can evaluate the simultaneous effects of different variables. The proposed methodology is implemented in MEAL, a Bioconductor package designed to facilitate the analysis of methylation data.ConclusionsWe propose a multivariate approach to decipher whether an outcome of interest alters the methylation pattern of a region of interest. The method is designed to analyze large target genomic regions and outperforms the three most popular methods for detecting DMRs. Our method can evaluate factors with more than two levels or the simultaneous effect of more than one continuous variable, which is not possible with the state-of-the-art methods.

Ginsenoside Rh2 epigenetically regulates cell-mediated immune pathway to inhibit proliferation of MCF-7 breast cancer cells

BackgroundGinsenoside Rh2 has been known to enhance the activity of immune cells, as well as to inhibit the growth of tumor cells. Although the repertoire of genes regulated by Rh2 is well-known in many cancer cells, the epigenetic regulation has yet to be determined, especially for comprehensive approaches to detect methylation changes. MethodsThe effect of Rh2 on genome-wide DNA methylation changes in breast cancer cells was examined by treating cultured MCF-7 with Rh2. Pyrosequencing analysis was carried out to measure the methylation level of a global methylation marker, LINE1. Genome-wide methylation analysis was carried out to identify epigenetically regulated genes and to elucidate the most prominent signaling pathway affected by Rh2. Apoptosis and proliferation were monitored to examine the cellular effect of Rh2. ResultsLINE1 showed induction of hypomethylation at specific CpGs by 1.6–9.1% (p < 0.05). Genome-wide methylation analysis identified the “cell-mediated immune response”-related pathway as the top network. Cell proliferation of MCF-7 was retarded by Rh2 in a dose-dependent manner. Hypermethylated genes such as CASP1, INSL5, and OR52A1 showed downregulation in the Rh2-treated MCF-7, while hypomethylated genes such as CLINT1, ST3GAL4, and C1orf198 showed upregulation. Notably, a higher survival rate was associated with lower expression of INSL5 and OR52A1 in breast cancer patients, while with higher expression of CLINT1. ConclusionThe results indicate that Rh2 induces epigenetic methylation changes in genes involved in immune response and tumorigenesis, thereby contributing to enhanced immunogenicity and inhibiting the growth of cancer cells.

Maternal vitamin D depletion alters DNA methylation at imprinted loci in multiple generations.

BackgroundEnvironmental perturbation of epigenetic mechanisms is linked to a growing number of diseases. Characterizing the role environmental factors play in modifying the epigenome is important for disease etiology. Vitamin D is an essential nutrient affecting brain, bone, heart, immune and reproductive health. Vitamin D insufficiency is a global issue, and the role in maternal and child health remains under investigation.MethodsWe used Collaborative Cross (CC) inbred mice to characterize the effect of maternal vitamin D depletion on offspring phenotypic and epigenetic outcomes at imprinted domains (H19/Igf2, Snrpn, Dlk1/Gtl2, and Grb10) in the soma (liver) and germline (sperm). We assessed outcomes in two generations of offspring to determine heritability. We used reciprocal crosses between lines CC001/Unc and CC011/Unc to investigate parent of origin effects.ResultsMaternal vitamin D deficiency led to altered body weight and DNA methylation in two generations of offspring. Loci assayed in adult liver and sperm were mostly hypomethylated, but changes were few and small in effect size (<7 % difference on average). There was no change in total expression of genes adjacent to methylation changes in neonatal liver. Methylation changes were cell type specific such that changes at IG-DMR were present in sperm but not in liver. Some methylation changes were distinct between generations such that methylation changes at the H19ICR in second-generation liver were not present in first-generation sperm or liver. Interestingly, some diet-dependent changes in body weight and methylation were seemingly influenced by parent of origin such that reciprocal crosses exhibited inverse effects.ConclusionsThese findings demonstrate that maternal vitamin D status plays a role in determining DNA methylation state in the germline and soma. Detection of methylation changes in the unexposed second-generation demonstrates that maternal vitamin D depletion can have long-term effects on the epigenome of subsequent generations. Differences in vitamin D-dependent epigenetic state between cell types and generations indicate perturbation of the epigenetic landscape rather than a targeted, locus-specific effect. While the biological importance of these subtle changes remains unclear, they warrant an investigation of epigenome-wide effects of maternal vitamin D depletion.Electronic supplementary materialThe online version of this article (doi:10.1186/s13148-016-0276-4) contains supplementary material, which is available to authorized users.

Changepoint detection in base-resolution methylome data reveals a robust signature of methylated domain landscape.

BackgroundBase-resolution methylome data generated by whole-genome bisulfite sequencing (WGBS) is often used to segment the genome into domains with distinct methylation levels. However, most segmentation methods include many parameters to be carefully tuned and/or fail to exploit the unsurpassed resolution of the data. Furthermore, there is no simple method that displays the composition of the domains to grasp global trends in each methylome.ResultsWe propose to use changepoint detection for domain demarcation based on base-resolution methylome data. While the proposed method segments the methylome in a largely comparable manner to conventional approaches, it has only a single parameter to be tuned. Furthermore, it fully exploits the base-resolution of the data to enable simultaneous detection of methylation changes in even contrasting size ranges, such as focal hypermethylation and global hypomethylation in cancer methylomes. We also propose a simple plot termed methylated domain landscape (MDL) that globally displays the size, the methylation level and the number of the domains thus defined, thereby enabling one to intuitively grasp trends in each methylome. Since the pattern of MDL often reflects cell lineages and is largely unaffected by data size, it can serve as a novel signature of methylome.ConclusionsChangepoint detection in base-resolution methylome data followed by MDL plotting provides a novel method for methylome characterization and will facilitate global comparison among various WGBS data differing in size and even species origin.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-015-1809-5) contains supplementary material, which is available to authorized users.

A statistical method for single sample analysis of HumanMethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders.

BackgroundThe Illumina Infinium HumanMethylation450 BeadChip is an array-based technology for analysing DNA methylation at approximately 475,000 differentially methylated cytosines across the human genome. Hitherto, the array has been used for case-control studies, where sample numbers can be sufficient to yield statistically robust data on a genome-wide basis. We recently reported an informatic pipeline capable of yielding statistically and biologically significant results using only five cases, which expanded the use of this technology to rare disease studies. However, the clinical application of these technologies requires the ability to perform robust analysis of individual patients.ResultsHere we report a novel informatic approach for methylation array analysis of single samples, using the Crawford-Howell t-test. We tested our approach on patients with ultra-rare imprinting disorders with aberrant DNA methylation at multiple locations across the genome, which was previously detected by targeted testing. However, array analysis outperformed targeted assays in three ways: it detected loci not normally analysed by targeted testing, detected methylation changes too subtle to detect by the targeted testing and reported broad and consistent methylation changes across genetic loci not captured by point testing.ConclusionsThis method has potential clinical utility for human disorders where DNA methylation change may be a biomarker of disease.Electronic supplementary materialThe online version of this article (doi:10.1186/s13148-015-0081-5) contains supplementary material, which is available to authorized users.

Identifying Methylation Changes Driving Evolution of Relapse in MLL-Rearranged Acute Lymphoblastic Leukemias

IntroductionThe MLL gene is rearranged (MLL-r) in 80% of infants with B-lymphoblastic leukemia (B-ALL). MLL-r infant B-ALL has a poor prognosis, with 4-year event-free survival less than 45%. The typical pattern of failure in MLL-r infant ALL is successful remission induction followed by early relapse, suggesting rapid emergence and/or selection of one or more chemoresistant subclones. The markedly lower observed remission induction rates at relapse (<40%) vs. diagnosis (>90%) are consistent with this hypothesis. Genomic studies of MLL-r B-ALL have revealed a striking paucity of cooperating genomic abnormalities compared to other subsets of B-ALL, which suggests heritable epigenetic changes may drive leukemogenesis, chemoresistance and evolution of relapse in MLL-r B-ALL. MLL, its fusion partners and various components of its large complexes have functional domains with known or suspected epigenetic activity. Thus, MLL rearrangement in B-ALL may trigger chromatin modifications and DNA CpG methylation changes that interplay to disrupt normal gene transcription and expression. We hypothesized that infant MLL-r B-ALL cells dynamically acquire heritable DNA CpG methylation changes, some of which may contribute to chemoresistance and evolution of relapse. To test this hypothesis we performed whole-genome bisulfite sequencing (WGBS) using paired diagnosis-relapse (DX-RL) samples to identify methylation changes that may drive relapse.MethodsWe evaluated paired DX-RL specimens with >95% leukemic blasts from two infants with B-ALL harboring MLL-ENL fusions: A 4 month-old female who relapsed after 1 year (case a), and an 8 month-old male who relapsed after 5 months (case b). We prepared WGBS libraries and ran paired-end sequencing (2x100bp) using Illumina HiSeq at average 25X coverage. We used Bismark for aligning reads and calling CpG methylation states. We developed an analysis pipeline to convert CpG states into CpG haplotypes, detect methylation changes at the haplotype level between DX and RL, annotate methylation changes to genes and promoters, and perform gene set enrichment analysis (GSEA) on these genes.ResultsFirst, we filtered reads falling into repeated DNA. We then obtained methylation calls at 15.6/14.3 (DX/RL) million CpGs in case (a) and 15.5/15.6 (DX/RL) million CpGs in case (b). We extracted uniquely aligned reads covering 4 contiguous CpGs, which defined a “4 CpG-site”, or “site”. We required that each site in both DX and RL is covered by at least 4 reads, which yielded 26,747 and 85,174 sites for (a) and (b). We compared the methylation level at each site in DX versus RL (e.g. a “1-0-1-1” 4 CpG-site has a methylation level of 0.75). For (a), 165 sites showed a 50% increase in methylation level at relapse (e.g., from 0.2 to 0.7), and 468 showed a 50% decrease in methylation level at relapse. For (b) there were 605 increased and 57 decreased.The 633 methylation changes in (a) mapped to 175 genes (2kb upstream to transcription end site) and the 662 changes in (b) mapped to 135 genes. Some of these genes are known to be involved in MLL-r ALL [e.g., IKZF1, in (a) and TLX2 in (b)]. GSEA was performed independently using the 175 and 135 genes in (a) and (b), respectively. Interestingly, there was substantial overlap: The top 3 gene sets for (b) (FDR q-value ≤ 2.9E-8) were also within the top 9 sets for (a) (FDR ≤ 1.1E-5). Strikingly, all 3 of these sets involved components of the polycomb repressive complex 2 (PRC2) (1. EED target genes, 2. H3K27me3 bound genes and 3. Genes increased after EZH2 knockdown). Also in common was the KEGG gene set for antigen processing and presentation [FDR 3.4E-6 in (a) and 1.7E-4 in (b)].ConclusionWGBS allows an in-depth look at the epigenetic state of leukemic cell populations. While >98% of the methylome remained relatively stable between diagnosis and relapse (< 50% change), the hundreds of differentially methylated sites may be sufficient to influence expression of key genes and drive selection during the evolution of relapse. In addition, the ~15 million CpG methylation states are stably inherited yet variable, and comprise a rich source of information that can be used to identify evolving subclones, particularily in MLL-r ALL given its silent genomic landscape. Validation of the functional significance of the methylation changes using RNA-seq and identification of functionally important epigenetically-defined subclones is underway. DisclosuresNo relevant conflicts of interest to declare.

Next-Generation Epigenetic Detection Technique: Identifying Methylated Cytosine Using Graphene Nanopore.

DNA methylation plays a pivotal role in the genetic evolution of both embryonic and adult cells. For adult somatic cells, the location and dynamics of methylation have been very precisely pinned down with the 5-cytosine markers on cytosine-phosphate-guanine (CpG) units. Unusual methylation on CpG islands is identified as one of the prime causes for silencing the tumor suppressant genes. Early detection of methylation changes can diagnose the potentially harmful oncogenic evolution of cells and provide promising guideline for cancer prevention. With this motivation, we propose a cytosine methylation detection technique. Our hypothesis is that electronic signatures of DNA acquired as a molecule translocates through a nanopore would be significantly different for methylated and nonmethylated bases. This difference in electronic fingerprints would allow for reliable real-time differentiation of methylated DNA. We calculate transport currents through a punctured graphene membrane while the cytosine and methylated cytosine translocate through the nanopore. We also calculate the transport properties for uracil and cyanocytosine for comparison. Our calculations of transmission, current, and tunneling conductance show distinct signatures in their spectrum for each molecular type. Thus, in this work, we provide a theoretical analysis that points to a viability of our hypothesis.

ID4 is frequently downregulated and partially hypermethylated in prostate cancer

The candidate tumor suppressor ID4 is downregulated in various cancers by DNA hypermethylation. We have performed the first systematic analysis of ID4 expression and methylation in prostate cancer. ID4 mRNA expression was analyzed by quantitative RT-PCR in 47 carcinoma and 13 benign prostatic tissues obtained by prostatectomy. Methylation was analyzed in an extended series of samples by methylation-specific MS-PCR and pyrosequencing, controlled by bisulfite sequencing. ID4 expression was significantly decreased in prostate cancers, especially in cases with adverse clinical and histopathological features and earlier recurrence. Hypermethylation in carcinomas was detected by MS-PCR and pyrosequencing, but the results of the two techniques were not fully concordant. The difference was created by generally partial and heterogeneous methylation. Weak methylation was also detected in benign prostatic tissue samples. ID4 downregulation may contribute to prostate cancer pathogenesis and is often accompanied by DNA hypermethylation. The case of ID4 illustrates exemplarily the limits and pitfalls of techniques for the detection of methylation changes in prostate cancer tissues.

Whole-Genome Sequencing Breaks the Cost Barrier

The ever-decreasing cost of sequencing is ushering in a new era in genomic medicine. Laura Bonetta reports on new studies that provide a glimpse of the opportunities ahead.