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Background: DNA methylation biomarkers are one of the most promising tools for the diagnosis and differentiation of adenocarcinomas of the liver, which are among the most common malignancies worldwide. Their differentiation is important because of the different prognoses and treatment options. This study aimed to validate previously identified DNA methylation biomarkers that successfully differentiate between liver adenocarcinomas, including the two most common primary liver cancers, hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA), as well as two common metastatic liver cancers, colorectal liver metastases (CRLM) and pancreatic ductal adenocarcinoma liver metastases (PCLM), and translate them to the methylation-sensitive high-resolution melting (MS-HRM) and digital PCR (dPCR) platforms. Methods: Our study included a cohort of 149 formalin-fixed, paraffin-embedded tissue samples, including 19 CRLMs, 10 PCLMs, 15 HCCs, 15 CCAs, 15 colorectal adenocarcinomas (CRCs), 15 pancreatic ductal adenocarcinomas (PDACs) and their paired normal tissue samples. The methylation status of the samples was experimentally determined by MS-HRM and methylation-specific dPCR. Previously determined methylation threshold were adjusted according to dPCR data and applied to the same DNA methylation array datasets (provided by The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO)) used to originally identify the biomarkers for the included cancer types and additional CRLM projects. The sensitivities, specificities and diagnostic accuracies of the panels for individual cancer types were calculated. Results: In the dPCR experiment, the DNA methylation panels identified HCC, CCA, CRC, PDAC, CRLM and PCLM with sensitivities of 100%, 66.7%, 100%, 86.7%, 94.7% and 80%, respectively. The panels differentiate between HCC, CCA, CRLM, PCLM and healthy liver tissue with specificities of 100%, 100%, 97.1% and 94.9% and with diagnostic accuracies of 100%, 94%, 97% and 93%, respectively. Reevaluation of the same bioinformatic data with new additional CRLM projects demonstrated that the lower dPCR methylation threshold still effectively differentiates between the included cancer types. The bioinformatic data achieved sensitivities for HCC, CCA, CRC, PDAC, CRLM and PCLM of 88%, 64%, 97.4%, 75.5%, 80% and 84.6%, respectively. Specificities between HCC, CCA, CRLM, PCLM and healthy liver tissue were 98%, 93%, 86.6% and 98.2% and the diagnostic accuracies were 94%, 91%, 86% and 98%, respectively. Moreover, we confirmed that the methylation of the investigated promoters is preserved from primary CRC and PDAC to their liver metastases. Conclusions: The cancer-specific methylation biomarker panels exhibit high sensitivities, specificities and diagnostic accuracies and enable differentiation between primary and metastatic adenocarcinomas of the liver using methylation-specific dPCR. High concordance was achieved between MS-HRM, dPCR and bioinformatic data, demonstrating the successful translation of bioinformatically identified methylation biomarkers from the Illumina Infinium HumanMethylation450 BeadChip (HM450) and lllumina MethylationEPIC BeadChip (EPIC) platforms to the simpler MS-HRM and dPCR platforms. [ABSTRACT FROM AUTHOR]

An observational cohort study of patients diagnosed with endometrial cancer (EC) stage IA G1, or atypical endometrial hyperplasia (AEH), undergoing organ-preserving treatment, was conducted. Objective of the study: To determine CDO1, PITX2, and CDH13 gene methylation levels in early endometrial cancer and atypical hyperplasia specimens obtained before organ-preserving treatment in the patients with adequate response and with insufficient response to hormonal treatment. Materials and methods: A total of 41 endometrial specimens obtained during diagnostic uterine curettage in women with EC (n = 28) and AEH (n = 13), willing to preserve reproductive function, were studied; 18 specimens of uterine cancer IA stage G1 from peri- and early postmenopausal women (comparison group) were included in the study. The control group included 18 endometrial specimens from healthy women obtained by diagnostic curettage for missed abortion and/or intrauterine adhesions. Methylation levels were analyzed using the modified MS-HRM method. Results: All 13 women with AEH had a complete response (CR) to medical treatment. In the group undergoing organ-preserving treatment for uterine cancer IA stage G1 (n = 28), 14 patients had a complete response (EC CR group) and 14 did not (EC non-CR group). It was found that all groups had statistically significant differences in CDO1 gene methylation levels compared to the control group (p < 0.001) except for the EC CR group (p = 0.21). The p-value for the difference between EC CR and EC non-CR groups was <0.001. The differences in PITX2 gene methylation levels between the control and study groups were also significantly different (p < 0.001), except for the AEH group (p = 0.21). For the difference between EC CR and EC non-CR groups, the p-value was 0.43. For CDH13 gene methylation levels, statistically significant differences were found between the control and EC non-CR groups (p < 0.001), and the control and EC comparison groups (p = 0.005). When comparing the EC CR group with EC non-CR group, the p-value for this gene was <0.001. The simultaneous assessment of CDO1 and CDH13 genes methylation allowed for an accurate distinction between EC CR and EC non-CR groups (AUC = 0.96). Conclusion: The assessment of CDO1 and CDH13 gene methylation in endometrial specimens from patients with endometrial cancer (IA stage G1), scheduled for medical treatment, can predict the treatment outcome. [ABSTRACT FROM AUTHOR]

DNA methylation is a key epigenetic mechanism that is dysregulated in leukemia and plays a significant role in leukemogenesis. Ten-eleven translocation 2 (TET2) is one of the most frequently mutated genes among the DNA methylation regulators in hematologic malignancies, indicating its tumor-suppressor function. In this study, we investigated the expression and methylation status of TET2 in patients with AML. Quantitative RT-PCR was used to evaluate TET2 expression in peripheral blood mononuclear cells (PBMCs) from 51 newly diagnosed AML patients and 50 healthy controls. The methylation-sensitive high-resolution melting (MS-HRM) method was used in 45 patients with AML and 15 healthy controls to evaluate the promoter methylation of TET2. TET2 expression was significantly downregulated (P < 0.0001) in patients with AML compared to that in healthy controls. Furthermore, the methylation level of the TET2 promoter was significantly different between patients and controls. Aberrant methylation of the TET2 promoter was observed in 53.3% of the patients. Interestingly, a negative (− 0.3138) and significant (P = 0.0358) correlation between TET2 methylation and expression was found. The survival of patients with downregulated TET2 was poorer than that of other patients. TET2 gene expression was significantly downregulated while the promoter methylation was higher in patients, indicating that TET2 may be a tumor suppressor gene and a prognostic factor in AML and that transcriptional silencing of the TET2 gene may play a role in AML pathogenesis. Since epigenetic mechanisms are reversible, abnormal TET2 methylation could become a therapeutic target in the future. [ABSTRACT FROM AUTHOR]

Abstract Background Response to lithium (Li) is highly variable in bipolar disorders (BD). Despite decades of research, no clinical predictor(s) of response to Li prophylaxis have been consistently identified. Recently, we developed epigenetic Methylation Specific High-Resolution Melting (MS-HRM) assays able to discriminate good responders (GR) from non-responders (NR) to Li in individuals with BD type 1 (BD-I). This study examined whether a combination of clinical and epigenetic markers can distinguish NR from other types of Li responders. Methods We recorded clinical variables that are potentially associated with Li response in 64 individuals with BD-I. MS-HRM assays were performed on DNA isolated from peripheral blood. We used backward stepwise logistic regression analyses, followed by receiver operating characteristic (ROC) curve analysis to estimate the performance of the clinical variables, alone then in combination with the epigenetic biomarkers, to identify GR and partial responders (PaR) vs NR. Results Polarity at onset, psychotic symptoms at onset and family history of BD classified correctly 70% of individuals according to their Li response (PaR + GR = 86%; NR = 35%). When combined with the epigenetic biomarkers, these three clinical variables plus alcohol misuse (and one DMR: Differentially Methylated Region) correctly classified 86% of individuals, improving the prediction of PaR + GR (93%) and of NR (70%). The ROC analysis demonstrated an improvement in the area under the curve from 0.75 (clinical variables alone) to 0.87 (combination of clinical and epigenetic markers). Conclusions Combining clinical predictors and DNA methylation markers of Li response may have greater utility in clinical practice than relying on clinical characteristics alone.

The DNA methylation profile of breast cancer differs from that in healthy tissues and can be used as a diagnostic and prognostic biomarker. Aim of this study: To compare the levels of gene methylation in small malignant breast cancer tumors (<2 cm), in healthy tissue, and in fibroadenoma, and to evaluate the effectiveness of the modified Methylation Sensitive–High Resolution Melting (MS–HRM) method for this analysis. Analysis was performed using the modified MS–HRM method. For validation, the methylation levels of five genes were confirmed by pyrosequencing. The main study group included 96 breast cancer samples and the control group included 24 fibroadenoma samples and 24 healthy tissue samples obtained from patients with fibroadenoma. Breast cancer samples were divided into two subgroups (test set and validation set). The methylation of the following 15 genes was studied: MAST1, PRDM14, ZNF177, DNM2, SSH1, AP2M1, CACNA1E, CPEB4, DLGAP2, CCDC181, GCM2, ITPRIPL1, POM121L2, KCNQ1, and TIMP3. Significant differences in the validation set of samples were found for seven genes; the combination of the four genes GCM2, ITPRIPL1, CACNA1E, DLGAP2 (AUC = 0.99) showed the highest diagnostic value based on logistic regression for all breast cancer samples. Our modified MS–HRM method demonstrated that small breast cancer tumors have a specific DNA methylation profile that distinguishes them from healthy tissues and benign proliferative lesions. [ABSTRACT FROM AUTHOR]

Background: Response to lithium (Li) is highly variable in bipolar disorders (BD). Despite decades of research, no clinical predictor(s) of response to Li prophylaxis have been consistently identified. Recently, we developed epigenetic Methylation Specific High-Resolution Melting (MS-HRM) assays able to discriminate good responders (GR) from non-responders (NR) to Li in individuals with BD type 1 (BD-I). This study examined whether a combination of clinical and epigenetic markers can distinguish NR from other types of Li responders. Methods: We recorded clinical variables that are potentially associated with Li response in 64 individuals with BD-I. MS-HRM assays were performed on DNA isolated from peripheral blood. We used backward stepwise logistic regression analyses, followed by receiver operating characteristic (ROC) curve analysis to estimate the performance of the clinical variables, alone then in combination with the epigenetic biomarkers, to identify GR and partial responders (PaR) vs NR. Results: Polarity at onset, psychotic symptoms at onset and family history of BD classified correctly 70% of individuals according to their Li response (PaR + GR = 86%; NR = 35%). When combined with the epigenetic biomarkers, these three clinical variables plus alcohol misuse (and one DMR: Differentially Methylated Region) correctly classified 86% of individuals, improving the prediction of PaR + GR (93%) and of NR (70%). The ROC analysis demonstrated an improvement in the area under the curve from 0.75 (clinical variables alone) to 0.87 (combination of clinical and epigenetic markers). Conclusions: Combining clinical predictors and DNA methylation markers of Li response may have greater utility in clinical practice than relying on clinical characteristics alone. [ABSTRACT FROM AUTHOR]

Objective: The circadian system acts at whole levels of a woman's life as a cornerstone: from follicle generation to the arrangement of hormonal balance; and the process from embryo implantation to birth. Methods: We compared the promoter methylation status of the circadian genes, BMAL1 and CLOCK, between pre-menopausal and postmenopausal women to find an epigenetic explanation in women with menopause. In this perspective, 56 postmenopausal women and 48 premenopausal women were enrolled in this study. Results: Menopause and methylation status of the BMAL1 or CLOCK genes did not show any statistically significant correlations (p>0.05). Moreover, the correlation of the methylation pattern of the BMAL1 and CLOCK genes with age could not be detected (p>0.05). Conclusion: The methylation status of the BMAL1 and CLOCK genes in menopause was characterized for the first time in our study. Further studies should shed light on this subject. [ABSTRACT FROM AUTHOR]

Abstract Background Cholangiocarcinoma (CCA) is a fatal cancer of the bile duct epithelial cell lining. The misdiagnosis of CCA and other biliary diseases may occur due to the similarity of clinical manifestations and blood tests resulting in inappropriate or delayed treatment. Thus, an accurate and less-invasive method for differentiating CCA from other biliary diseases is inevitable. Methods We quantified methylation of OPCML, HOXA9, and HOXD9 in serum cell-free DNA (cfDNA) of CCA patients and other biliary diseases using methylation-sensitive high-resolution melting (MS-HRM). Their potency as differential biomarkers between CCA and other biliary diseases was also evaluated by using receiver operating characteristic (ROC) curves. Results The significant difference of methylation levels of OPCML and HOXD9 was observed in serum cfDNA of CCA compared to other biliary diseases. Assessment of serum cfDNA methylation of OPCML and HOXD9 as differential biomarkers of CCA and other biliary diseases showed the area under curve (AUC) of 0.850 (0.759–0.941) for OPCML which sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were 80.00%, 90.00%, 88.88%, 81.81%, and 85.00%, respectively. The AUC of HOXD9 was 0.789 (0.686–0.892) with sensitivity, specificity, PPV, NPV, and accuracy of 67.50%, 90.00%, 87.09%, 73.46%, and 78.75%, respectively. The combined marker between OPCML and HOXD9 showed sensitivity, specificity, PPV, and NPV of 62.50%, 100%, 100%, and 72.72%, respectively, which may be helpful to prevent a misdiagnosis between CCA and other biliary diseases. Conclusions Our findings suggest the application of serum cfDNA methylation of OPCML and HOXD9 for differential diagnosis of CCA and other biliary diseases due to its less invasiveness and clinically practical method which may benefit the patients by preventing the misdiagnosis of CCA and avoiding unnecessary surgical intervention.

Platelet‐derived growth factor signalling pathways play a fundamental role in inducing and sustaining the proliferative and prosurvival stimuli in canine osteosarcomas (cOSAs). The increased expression of platelet‐derived growth factor receptors (PDGFRs) α and β, and their cognate ligands, were almost invariably observed in cOSAs and OSA‐derived cell lines. In particular, overexpression of PDGFRβ‐mediated signalling pathways was found in both the tumour microenvironment, where it drives stromal cell recruitment, and in neoangiogenesis, such as in tumour cells where it triggers aberrant proliferation, migration and local invasion. The majority of the pathological consequences of PDGFRβ signalling are because of aberrant expression. In fact, epigenetic dysregulation of oncogenes throughout demethylation of their promoter has emerged as a pivotal mechanism driving oncogenesis. The aim of this study was to assess the methylation status of the PDGFRβ promoter and to clarify its role in modulating the expression of the tyrosine kinase receptor in canine osteosarcoma. The CpG island of the PDGFRβ promoter was identified using a mixed in silico and experimental approach, and a method based upon the methylation‐sensitive high‐resolution melting assay for quantitatively and precisely assessing the methylation status of the promoter was then set up. The method herein described was then exploited to assess the methylation status of the promoter in a case series of cOSAa. COSAs consistently but variably expressed PDGFRβ. However, the promoter was almost completely demethylated, and its methylation status did not correlate with the expression levels. This finding supported the hypothesis that post‐transcriptional regulatory mechanisms may act in cOSAs. [ABSTRACT FROM AUTHOR]

Introduction: Local DNA hypermethylation is a potential source of cancer biomarkers. While the evaluation of single gene methylation has limited value, their selected panel may provide better information. Aims: This study aimed to analyze the promoter methylation level in a 7‐gene panel in brain tumors and verifies the usefulness of methylation‐sensitive high‐resolution melting (MS‐HRM) for this purpose. Methods: Forty‐six glioma samples and one non‐neoplastic brain sample were analyzed by MS‐HRM in terms of SFRP1, SFRP2, RUNX3, CBLN4, INA, MGMT, and RASSF1A promoter methylation. The results were correlated with patients' clinicopathological features. Results: DNA methylation level of all analyzed genes was significantly higher in brain tumor samples as compared to non‐neoplastic brain and commercial, unmethylated DNA control. RASSF1A was the most frequently methylated gene, with statistically significant differences depending on the tumor WHO grade. Higher MGMT methylation levels were observed in females, whereas the levels of SFRP1 and INA promoter methylation significantly increased with patients' age. A positive correlation of promoter methylation levels was observed between pairs of genes, for example, CBLN4 and INA or MGMT and RASSF1A. Conclusions: Our 7‐gene panel of promoter methylation can be helpful in brain tumor diagnosis or characterization, and MS‐HRM is a suitable method for its analysis. [ABSTRACT FROM AUTHOR]

Introduction: Folates are essential nutrients for fetal development and pregnancy outcomes; they are transported to the fetus during gestation through specific folate transporters located in the placenta. In preterm newborns, we previously showed a lower placental mRNA expression of FOLR1 along with higher folate and lower vitamin B12 cord blood levels. Thereby we aimed to explore FOLR1 methylation in placentas of preterm newborns and hypothesized an increased FOLR1 methylation associated with cord blood folates and vitamin B12 concentrations.Methods: FOLR1 methylation and mRNA were determined by methylation sensitive - high resolution melting (MS-HRM) and by real-time PCR respectively, in two placental sides of placental tissues: maternal (basal, BP) and fetal plates (chorionic, CP) of moderate preterm infants (32-36 gestational age) and term birth (37-41 gestational weeks). Folates and vitamin B12 were determined by electrochemiluminescence in umbilical cord blood samples from term and preterm newborns.Results: We found that in preterm newborns, FOLR1 mRNA was lower in both plates of placenta compared with term newborns (p < 0,05) and was negatively associated with methylation of FOLR1 in CP. Preterm newborns presented higher folate and lower vitB12 concentrations in cord blood which correlated with increased placental FOLR1 methylation.Discussion: In preterm newborns, placental FOLR1 expression is regulated by epigenetic mechanisms and presumably by maternal concentrations of folate and vitamin B12. [ABSTRACT FROM AUTHOR]

Response to lithium (Li) is highly variable in bipolar disorders (BD) and no clinical or biological predictors of long-term response have been validated to date. Using a genome-wide methylomic approach (SeqCapEpi), we previously identified seven differentially methylated regions (DMRs) that discriminated good from non-responders (prophylactic response phenotype defined using the “Alda” scale). This study is a proof of transferability from bench to bedside of this epigenetic signature. For this purpose, we used Methylation Specific High-Resolution Melting (MS-HRM), a PCR based method that can be implemented in any medical laboratory at low cost and with minimal equipment. In 23 individuals with BD, MS-HRM measures of three out of seven DMRs were technically feasible and consistencies between SeqCapEpi and MS-HRM-measures were moderate to high. In an extended sample of individuals with BD (n = 70), the three MS-HRM-measured DMRs mainly predicted nonresponse, with AUC between 0.70–0.80 according to different definitions of the phenotype (Alda- or machine-learning-based definitions). Classification tree analyses further suggested that the MS-HRM-measured DMRs correctly classified up to 84% of individuals as good or non-responders. This study suggested that epigenetic biomarkers, identified in a retrospective sample, accurately discriminate non-responders from responders to Li and may be transferrable to routine practice.

Abstract Background Prader Willi (PWS) and Angelman (AS) syndromes are rare genetic disorders characterized by deletions, uniparental disomy, and imprinting defects at chromosome 15. The loss of function of specific genes caused by genetic alterations in paternal allele causes PWS while the absence in maternal allele results AS. The laboratory diagnosis of PWS and AS is complex and demands molecular biology and cytogenetics techniques to identify the genetic mechanism related to the development of the disease. The DNA methylation analysis in chromosome 15 at the SNURF‐SNRPN locus through MS‐PCR confirms the diagnosis and distinguishes between PWS and AS. Our study aimed to establish the MS‐PCR technique associated with High‐Resolution Melting (MS‐HRM) in PWS and AS diagnostic with a single pair of primers. Methods We collected blood samples from 43 suspected patients to a cytogenetic and methylation analysis. The extracted DNA was treated with bisulfite to perform comparative methylation analysis. Results MS‐HRM and MS‐PCR agreed in 100% of cases, identifying 19(44%) PWS, 3(7%) AS, and 21(49%) Normal. FISH analysis detected four cases of PWS caused by deletions in chromosome 15. Conclusion The MS‐HRM showed good performance with a unique pair of primers, dispensing electrophoresis gel analysis, offering a quick and reproducible diagnostic.

Polymerase Chain Reaction (PCR) based techniques for DNA methylation techniques includes the MS-HRM technique. Methylation Sensitive High-Resolution Melting (MS-HRM) primer-design requires a set of necessary recommendations for such DNA methylation assessment. However, there were not any available software that allows an automatic design of this kind primers. We present Softepigen, the first complete MS-HRM primer design software. Softepigen allows to search for primers in a genomic region following Wojdacz's recommendations and targets primer binding regions with high linguistic complexity sequences that increase the specificity of the converted sequence of the human genome. We performed in-silico PCR analysis through BiSearch ePCR tool to validate the specificity of the of the primers designed using Softepigen. Softepigen for MS-HRM performance in our genomic regions of interest show satisfactory specificity measurements, and we implemented it for freely available use in the web-based interface at www.soft-epigen.com. [ABSTRACT FROM AUTHOR]

Identifying the early genetic drivers can help diagnose glioma tumours in their early stages, before becoming malignant. However, there is emerging evidence that disturbance of epigenetic mechanisms also contributes to cell’s malignant transformation and cancer progression. Long non-coding RNAs are one of key epigenetic modulators of signalling pathways, since gene expression regulation is one of their canonical mechanisms. The aim of our study was to search new gliomagenesis-specific candidate lncRNAs involved in epigenetic regulation.

DNA methylation status of RXRα gene promoter has been correlated with maternal diet during early pregnancy, and associated with offspring’s adiposity and bone mineral content. In adult life, increased methylation of RXRα promoter region is associated with myocardium pathologies. Early growth response proteins (EGR) are zinc finger transcription factors associated with several cellular pathways such as inflammation, apoptosis, and cardiopathies. DNA-binding sequences of EGR proteins have been reported in the RXRα gene promoter using chromatin immunoprecipitation methods. Here, we used correlations between the maternal pre-pregnancy body mass index (p-BMI), gestational weight gain (GWG), and birth weight (BW) as indirect indicators of the maternal nutritional status as modifier of DNA methylation in the offspring. DNA methylation status from newborns’ umbilical vein blood in full-term pregnancy was evaluated in a short sequence (116 pb) of the RXRα gene promoter that contains the elements of response sequence for EGR proteins. Fifty-three bisulfite-modified DNA samples were assessed through methyl-sensitive high-resolution melting (MS-HRM) analysis. To validate the results, we directly sequenced MS-HRM samples to confirm the presence of CpG-methylated positions. In addition, the RXRα protein levels in extracts of umbilical vein blood were evaluated by western blot. We found differential methylation in a specific locus of the RXRα promoter surrounding the EGR-binding sequence; however, no correlation was found with the level of RXRα protein expression. Variability in the methylation status of the RXRα promoter near the EGR transcription factor binding site in newborn cord blood provides controversial epigenetic insights into RXRα regulation via EGR proteins. [ABSTRACT FROM AUTHOR]

The aim of this study was to compare and contrast three DNA methylation methods of a specific region of interest (ROI): methylation-specific PCR (MSP), methylation-sensitive high resolution melting (MS-HRM) and direct bisulfite sequencing (BSP). The methylation of a CpG area in the promoter region of Estrogen receptor alpha ( ESR1) was evaluated by these three methods with samples and standards of different methylation percentages. MSP data were neither reproducible nor sensitive, and the assay was not specific due to non-specific binding of primers. MS-HRM was highly reproducible and a step forward into categorizing the methylation status of the samples as percent ranges. Direct BSP was the most informative method regarding methylation percentage of each CpG site. Though not perfect, it was reproducible and sensitive. We recommend the use of either method depending on the research question and target amplicon, and provided that the designed primers and expected amplicons are within recommendations. If the research question targets a limited number of CpG sites and simple yes/no results are enough, MSP may be attempted. For short amplicons that are crowded with CpG sites and of single melting domain, MS-HRM may be the method of choice though it only indicates the overall methylation percentage of the entire amplicon. Although the assay is highly reproducible, being semi-quantitative makes it of lesser interest to study ROI methylation of samples with little methylation differences. Direct BSP is a step forward as it gives information about the methylation percentage at each CpG site. [ABSTRACT FROM AUTHOR]

Comprehensive analysis of DNA methylation patterns is critical for understanding the molecular basis of many human diseases. While hundreds of PCR-based DNA methylation studies are published every year, the selection and implementation of appropriate methods for these studies can be challenging for molecular genetics researchers not yet familiar with methylation analysis. Here we review the most commonly used PCR-based DNA methylation analysis techniques: bisulfite sequencing PCR (BSP), methylation specific PCR (MSP), MethyLight, and methylation-sensitive high resolution melting (MS-HRM). We provide critical analysis of the strengths and weaknesses of each approach as well as a series of guidelines to assist in selecting and implementing an appropriate method.

Age prediction with epigenetic information is now edging closer to practical use in forensic community. Many age-related CpG (AR-CpG) sites have proven useful in predicting age in pyrosequencing or DNA chip analyses. In this study, a wide range methylation status in the ELOVL 2 and FHL 2 promoter regions were detected with methylation-sensitive high resolution melting (MS-HRM) in a labor-, time-, and cost-effective manner. Non-linear-distributions of methylation status and chronological age were newly fitted to the logistic curve. Notably, these distributions were revealed to be similar in 22 living blood samples and 52 dead blood samples. Therefore, the difference of methylation status between living and dead samples suggested to be ignorable by MS-HRM. Additionally, the information from ELOVL2 and FHL2 were integrated into a logistic curve fitting model to develop a final predictive model through the multivariate linear regression of logit-linked methylation rates and chronological age with adjusted R 2 = 0.83. Mean absolute deviation (MAD) was 7.44 for 74 training set and 7.71 for 30 additional independent test set, indicating that the final predicting model is accurate. This suggests that our MS-HRM-based method has great potential in predicting actual forensic age. [ABSTRACT FROM AUTHOR]

Background: Already since the 1990s, promoter CpG island methylation markers have been considered promising diagnostic, prognostic, and predictive cancer biomarkers. However, so far, only a limited number of DNA methylation markers have been introduced into clinical practice. One reason why the vast majority of methylation markers do not translate into clinical applications is lack of independent validation of methylation markers, often caused by differences in methylation analysis techniques. We recently described RET promoter CpG island methylation as a potential prognostic marker in stage II colorectal cancer (CRC) patients of two independent series. Methods: In the current study, we analyzed the RET promoter CpG island methylation of 241 stage II colon cancer patients by direct methylation-specific PCR (MSP), nested-MSP, pyrosequencing, and methylation-sensitive high-resolution melting (MS-HRM). All primers were designed as close as possible to the same genomic region. In order to investigate the effect of different DNA methylation assays on patient outcome, we assessed the clinical sensitivity and specificity as well as the association of RET methylation with overall survival for three and five years of follow-up. Results: Using direct-MSP and nested-MSP, 12.0 % (25/209) and 29.6 % (71/240) of the patients showed RET promoter CpG island methylation. Methylation frequencies detected by pyrosequencing were related to the threshold for positivity that defined RET methylation. Methylation frequencies obtained by pyrosequencing (threshold for positivity at 20 %) and MS-HRM were 13.3 % (32/240) and 13.8 % (33/239), respectively. The pyrosequencing threshold for positivity of 20 % showed the best correlation with MS-HRM and direct-MSP results. Nested-MSP detected RET promoter CpG island methylation in deceased patients with a higher sensitivity (33.1 %) compared to direct-MSP (10.7 %), pyrosequencing (14.4 %), and MS-HRM (15.4 %). While RET methylation frequencies detected by nested-MSP, pyrosequencing, and MS-HRM varied, the prognostic effect seemed similar (HR 1.74, 95 % CI 0.97-3.15; HR 1.85, 95 % CI 0.93-3.86; HR 1.83, 95 % CI 0.92-3.65, respectively). Conclusions: Our results show that upon optimizing and aligning four RET methylation assays with regard to primer location and sensitivity, differences in methylation frequencies and clinical sensitivities are observed; however, the effect on the marker's prognostic outcome is minimal. [ABSTRACT FROM AUTHOR]

Mastermind-like 1 (MAML1) is a transcriptional coregulator that has been associated with early development of many systems such as neuronal, muscular and urogenital. The present study aimed to explore the genome wide effects of MAML1 on DNA methylation and RNA expression in human embryonic kidney cells. Infinium HumanMethylation450 BeadChip Illumina array, methylation-sensitive high-resolution melt technique, Chip Analysis Methylation Pipeline and RNA profiling approaches were used to study MAML1 effects on the epigenome. We found that 11802 CpG sites were differentially methylated in MAML1-expressing cells while only 225 genes were differentially expressed. MAML1 overexpression induced more global differential hypermethylation than hypomethylation changes. In addition, the differentially methylated regions were mapped predominantly to 3′untranslated regions, intragenic regions and gene bodies and to a lesser extent to gene regulatory sequences. Gene ontology analysis revealed that the differentially changed genes (including HOXC11, HTATIP2, SLFN12 and SOX11) are involved in the regulation of urogenital system development, cell adhesion and embryogenesis. This study is the first report that shows the global effect of a single coregulator on DNA methylation and gene expression. Our results stress and support the effects of transcriptional coregulators on the cell methylome. [ABSTRACT FROM AUTHOR]

Research has revealed that n -hexane can disrupt adult female endocrine functions; however, few reports have focused on endocrine changes in adult F1 females after maternal exposure during gestation. In this study, female Wistar rats inhaled 100, 500, 2500, or 12,500 ppm n -hexane for 4 h daily during their initial 20 gestational days. The F1 female offspring exhibited abnormal oestrus cycles. Compared with the controls, the in vitro -cultured ovarian granulosa cells of the 12,500 ppm group showed significantly reduced in vitro progesterone and oestradiol secretion. Elevated progesterone secretion was observed in the 500 ppm group, and decreased and significantly upregulated mRNA expression of the Star, Cyp11a1, Cyp17a1, and Hsd3b genes was observed in the 12,500 ppm and 500 ppm groups, respectively. The protein expression levels were consistent with the mRNA expression levels. Methylation screening of the promoter regions of these genes was performed using MeDIP-chip and confirmed by methylation-sensitive high-resolution melting (MS-HRM), and the observed methylation state changes of the promoter regions were correlated with the gene expression levels. The results suggest that the hormone levels in the female offspring after gestational n -hexane inhalation correspond to the expression levels and DNA methylation states of the hormone production genes. [ABSTRACT FROM AUTHOR]

Readily accessible formalin-fixed paraffin embedded (FFPE) tissues are a highly valuable source of genetic material for molecular analyses in both research and in vitro diagnostics but frequently genetic material in those samples is highly degraded. With locus-specific methylation changes being widely investigated for use as biomarkers in various aspects of clinical disease management, we aimed to evaluate to what extent standard laboratory procedures can approximate the quality of the DNA extracted from FFPE samples prior to methylation analyses. DNA quality in 107 FFPE non-small cell lung cancer (NSCLC) samples was evaluated using spectrophotometry and gel electrophoresis. Subsequently, the quality assessment results were correlated with the results of locus specific methylation assessment with methylation sensitive high resolution melting (MS-HRM). The correlation of template quality with PCR amplification performance and HRM based methylation detection indicated a significant influence of DNA quality on PCR amplification but not on methylation assessment. In conclusion, standard laboratory procedures fairly well approximate DNA degradation of FFPE samples and DNA degradation does not seem to considerably affect locus-specific methylation assessment by MS-HRM. [ABSTRACT FROM AUTHOR]

Immortalized cell lines are widely used in genetic and epigenetic studies, from exploration of basic molecular pathways to evaluation of disease-specific cellular properties. They are also used in biotechnology, e.g., in drug toxicity tests and vaccine production. Cellular and genetic uniformity is the main feature of immortalized cell lines and it has been particularly advantageous in functional genomic research, which has in recent years been expanded to include epigenetic mechanisms of gene expression regulation. Using the MS-HRM technique, we demonstrated heterogeneity in locus-specific methylation patterns in different cell cultures of four human cell lines: HEK293, HEK293T, LCL and DU145. Our results show that some human immortalized cell lines consist of cells that differ in the methylation status of specific loci, i.e., that they are epigenetically heterogeneous. We show that even two cultures of the same cell line obtained from different laboratories can differ in the methylation status of the specific loci. The results indicated that epigenetic uniformity of the cell lines cannot be assumed in experiments which utilize cell cultures and that the methylation status of the specific loci in the immortalized cell lines should be re-characterized and carefully profiled before epigenetic studies are performed. [ABSTRACT FROM AUTHOR]

Nasopharyngeal carcinoma (NPC) is a human malignancy that is closely associated with Epstein-Barr Virus (EBV). Early diagnosis of NPC will greatly improve the overall survival. However, current EBV DNA marker detection still lacks the predictive value to perform well in high-risk populations for early detection of NPC. Since aberrant promoter hypermethylation of tumor suppressor genes (TSGs) is widely considered to be an important epigenetic change in early carcinogenesis, this study identified a panel of methylation markers for early detection of NPC and also assessed the clinical usefulness of these markers with noninvasive plasma specimens instead of biopsies. MS-HRM assays were carried out to assess the methylation status of a selected panel of four TSGs ( RASSF1A, WIF1, DAPK1 and RARβ2) in biopsies, NP brushings and cell-free plasma from NPC patients. High-risk and cancer-free groups were used as controls. DNA methylation panel showed higher sensitivity and specificity than EBV DNA marker in cell-free plasma from NPC patients at early Stages (I and II) and in addition to the EBV DNA marker, MS-HRM test for plasma and NP brushing DNA methylation significantly increased the detection rate at all NPC stages as well as local recurrence, using this selected four-gene panel ( p < 0.05). MS-HRM assay on a selected gene panel has great potential to become a noninvasive and complementary test for NPC early and recurrent detection in combination with the EBV DNA test to increase the sensitivity for NPC detection at an early stage. [ABSTRACT FROM AUTHOR]

Purpose To establish the frequency of IDH1 mutations and MGMT methylation in primary glioblastomas. Experimental design We screened primary glioblastoma multiforme (GBM) in a population-based study for IDH1 mutations and MGMT methylation and correlated them with clinical data. Results IDH1 mutations were detected in 5 of 40 primary glioblastomas (12,5%). Primary GBM patients carrying IDH1 mutations were significantly younger, mean age of 41 ± 5.06 years, than patients with wild-type IDH1, mean age of 57 ± 2,29 years, p = 0.011. The mean survival time of all GBM patients with and without IDH1 mutations was 19 months (5 cases) and 16 months (35 cases), respectively (p > 0,05). MGMT methylation was detected in 13 of the 40 patients (32,5%). MGMT-promoter methylation did not correlate with overall survival (OS; p > 0,05). Conclusion In summary, our study is the first study to investigate the IDH1 mutation status and MGMT methylation in primary GBMs in Turkish population and confirmed IDH1 mutation as a genetic marker for also primary GBMs. Our data are still insufficient for definite ascertainment; and our preliminary results suggest: IDH1 status shows an association with younger age and there is a lack of association between IDH1 mutation and survival time. Furthermore MGMT promoter methylation had no prognostic value and lower frequency in primary glioblastomas. [ABSTRACT FROM AUTHOR]

Alterations in DNA methylation have implicated as an epigenetic event in the pathogenesis of late-onset Alzheimer’s disease (LOAD). The objective of this work was to evaluate global DNA methylation levels for long interspersed nuclear element 1 (LINE-1) repetitive sequences in Colombian patients with LOAD and controls. The LINE-1 DNA methylation levels in peripheral blood samples from 28 Colombian patients with LOAD and 30 healthy participants were assessed using a methylation-sensitive high-resolution melting (MS-HRM) quantitative assay. We did not find differences in LINE-1 methylation levels between patients with Alzheimer’s disease (AD; median 76.2%, interquartile range [IQR]: 69.8-81.9) and control participants (median 79.8%, IQR: 73.2-83.8; P = .3). Additional stratified analyses did not show differences in LINE-1 methylation levels for male or female patients versus controls nor for apolipoprotein E4 carriers and noncarriers. This is the first report of LINE-1 methylation levels in patients with LOAD using the cost-effective MS-HRM technique, and this is the first global DNA methylation study in Latin American patients with AD. [ABSTRACT FROM AUTHOR]

The methods of molecular biology allow for analyzing the methylation pattern in the whole genome and in particular genes. We differentiate methylated sequences from unmethylated ones by means of cutting the genomic template with methylation-sensitive restriction enzymes or by sodium bisulfite DNA modification. Chemical modification precedes most quantitative and qualitative PCR techniques: MS-PCR, MS-nested PCR, Real-Time PCR, QAMA, HeavyMethyl, MSHRM. Restriction enzymes, on the other hand, may be used together with PCR or hybridisation methods (Southern blot and microarrays). PCRs are conducted with primers specific for methylated and unmethylated sequences and sometimes, similarly to hybridisation techniques, with specifically labeled probes or dyes intercalating to double-stranded nucleic acids. The most advanced methylation detection techniques (MALDI-TOF MS and HPLC) significantly reduce the amount of biological material used for tests, but they require specialist equipment. [ABSTRACT FROM AUTHOR]

Response to lithium (Li) is highly variable in bipolar disorders (BD) and no clinical or biological predictors of long-term response have been validated to date. Using a genome-wide methylomic approach (SeqCapEpi), we previously identified seven differentially methylated regions (DMRs) that discriminated good from non-responders (prophylactic response phenotype defined using the "Alda" scale). This study is a proof of transferability from bench to bedside of this epigenetic signature. For this purpose, we used Methylation Specific High-Resolution Melting (MS-HRM), a PCR based method that can be implemented in any medical laboratory at low cost and with minimal equipment. In 23 individuals with BD, MS-HRM measures of three out of seven DMRs were technically feasible and consistencies between SeqCapEpi and MS-HRM-measures were moderate to high. In an extended sample of individuals with BD (n = 70), the three MS-HRM-measured DMRs mainly predicted nonresponse, with AUC between 0.70–0.80 according to different definitions of the phenotype (Alda- or machine-learning-based definitions). Classification tree analyses further suggested that the MS-HRM-measured DMRs correctly classified up to 84% of individuals as good or non-responders. This study suggested that epigenetic biomarkers, identified in a retrospective sample, accurately discriminate non-responders from responders to Li and may be transferrable to routine practice. [ABSTRACT FROM AUTHOR]

• DACT1 gene methylation status was useful for identifying semen by use of MS-HRM. • Semen DNA content in mixed fluids were semi-quantified with DACT1. • Asthenospermic or oligospermic semen were also analyzed. In forensic genetics, a suspect is assigned to a component of a DNA mixture profile, and a probabilistic interpretation is then usually performed. However, it is difficult to determine what types of body fluid the component is from. Previous studies have reported that the fourth exon of the Dishevelled binding antagonist of beta catenin 1 (DACT1) gene is hypomethylated in a semen DNA-specific manner. In the present study, we evaluated whether the DACT1 gene could be effectively used to identify semen in body fluid mixtures and were able to semi-quantify the semen DNA content in mixed fluids. Our results showed that the DACT1 gene was useful in discriminating semen from venous blood and saliva. However, the amount of sperm in semen can affect semen identification. In addition, SI (the semen DNA content index), which we developed, was useful to determine whether the semen compromised majority, almost half, or was in the minority of the components in a mixed fluid. This technique is based on the methylation-sensitive high-resolution melting (MS-HRM) technology, which is time-, cost-, and labour-effective, and could be adopted in routine criminal investigations. [ABSTRACT FROM AUTHOR]

Mesenchymal tumours of the corpus uteri comprise common benign lesions – leiomyomas and very rare malignant variants – sarcomas. It can be difficult to distinguish between the particular types of mesenchymal tumours pre-surgically. Primarily, leiomyomas and the very aggressive leiomyosarcomas can be easily misdiagnosed when using only imaging devices. Therefore, a reliable non-invasive marker for these tumour types would provide greater certitude for patients that the lesion remains benign. Our collection comprises 76 native leiomyomas, an equal number of healthy myometrium samples and 49 FFPE samples of various types of sarcomas. The methylation level was assessed by MS-HRM method and we observed differences in the methylation level between healthy, benign and (semi)malignant tissues in the KLF4 and DLEC1 genes. The mean methylation levels of leiomyomas compared to myometrium and leiomyosarcomas were 70.7% vs. 6.5% vs. 39.6 % (KLF4) and 66.1% vs. 14.08% vs. 37.5% (DLEC1). The ATF3 gene was differentially methylated in leiomyomatous and myometrial tissues with 98.1% compared to 76.6%. The AUC values of the predictive logistic regression model for discrimination between leiomyomas and leiomyosarcomas based on methylation levels were 0.7829 (KLF4) and 0.7719 (DLEC1). Finally, our results suggest that there should be distinct models for the methylation events in benign leiomyomas and sarcomas, and that the KLF4 and DLEC1 genes can be considered potential methylation biomarkers for uterine leiomyomas. [ABSTRACT FROM AUTHOR]

Background: Prader Willi (PWS) and Angelman (AS) syndromes are rare genetic disorders characterized by deletions, uniparental disomy, and imprinting defects at chromosome 15. The loss of function of specific genes caused by genetic alterations in paternal allele causes PWS while the absence in maternal allele results AS. The laboratory diagnosis of PWS and AS is complex and demands molecular biology and cytogenetics techniques to identify the genetic mechanism related to the development of the disease. The DNA methylation analysis in chromosome 15 at the SNURF‐SNRPN locus through MS‐PCR confirms the diagnosis and distinguishes between PWS and AS. Our study aimed to establish the MS‐PCR technique associated with High‐Resolution Melting (MS‐HRM) in PWS and AS diagnostic with a single pair of primers. Methods: We collected blood samples from 43 suspected patients to a cytogenetic and methylation analysis. The extracted DNA was treated with bisulfite to perform comparative methylation analysis. Results: MS‐HRM and MS‐PCR agreed in 100% of cases, identifying 19(44%) PWS, 3(7%) AS, and 21(49%) Normal. FISH analysis detected four cases of PWS caused by deletions in chromosome 15. Conclusion: The MS‐HRM showed good performance with a unique pair of primers, dispensing electrophoresis gel analysis, offering a quick and reproducible diagnostic. [ABSTRACT FROM AUTHOR]

Background: Cholangiocarcinoma (CCA) is a fatal cancer of the bile duct epithelial cell lining. The misdiagnosis of CCA and other biliary diseases may occur due to the similarity of clinical manifestations and blood tests resulting in inappropriate or delayed treatment. Thus, an accurate and less-invasive method for differentiating CCA from other biliary diseases is inevitable. Methods: We quantified methylation of OPCML, HOXA9, and HOXD9 in serum cell-free DNA (cfDNA) of CCA patients and other biliary diseases using methylation-sensitive high-resolution melting (MS-HRM). Their potency as differential biomarkers between CCA and other biliary diseases was also evaluated by using receiver operating characteristic (ROC) curves. Results: The significant difference of methylation levels of OPCML and HOXD9 was observed in serum cfDNA of CCA compared to other biliary diseases. Assessment of serum cfDNA methylation of OPCML and HOXD9 as differential biomarkers of CCA and other biliary diseases showed the area under curve (AUC) of 0.850 (0.759–0.941) for OPCML which sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were 80.00%, 90.00%, 88.88%, 81.81%, and 85.00%, respectively. The AUC of HOXD9 was 0.789 (0.686–0.892) with sensitivity, specificity, PPV, NPV, and accuracy of 67.50%, 90.00%, 87.09%, 73.46%, and 78.75%, respectively. The combined marker between OPCML and HOXD9 showed sensitivity, specificity, PPV, and NPV of 62.50%, 100%, 100%, and 72.72%, respectively, which may be helpful to prevent a misdiagnosis between CCA and other biliary diseases. Conclusions: Our findings suggest the application of serum cfDNA methylation of OPCML and HOXD9 for differential diagnosis of CCA and other biliary diseases due to its less invasiveness and clinically practical method which may benefit the patients by preventing the misdiagnosis of CCA and avoiding unnecessary surgical intervention. [ABSTRACT FROM AUTHOR]

Papillary thyroid cancer (PTC) is the most common type of cancer among thyroid malignancies. Tumor-related methylation of circulating tumor DNA (ctDNA) in plasma could represent tumor specific alterations can be considered as good biomarkers in circulating tumor cells. In this study, we studied the methylation status of seven promoter regions of two DNA methyl Transferases (MGMT and DNMT1) genes as the methylated ctDNA in plasma and tissue samples of patients with PTC and goiter patients as noncancerous controls., Methods: Both ctDNA and tissue genomic DNA of 57 PTC and 45 Goiter samples were isolated. After bisulfite modification, the methylation status was studied by Methylation-Sensitive High Resolution Melting (MS-HRM) assay technique. Four promoter regions of O6-methylguanine-DNA methyltransferase (MGMT) and three promoter regions of DNA methyltransferase 1 (DNMT1) were assessed., Results: From seven candidate promoter regions of two methyltrasferase coding genes, the methylation status of ctDNA within MGMT (a), MGMT (c), MGMT (d), and DNMT1 (b) were meaningfully different between PTC cases and controls. However, the most significant differences were seen in circulating ctDNA MGMT (c) which was hypermethylated in 25 (43.9 %) of patients with PTC vs 2 (4. 4 %) of goiter samples. Between two selected DNA methyl transferase, the methylation of MGMT as the maintenance methyltransferase was significantly higher in PTC cases than goiter controls (P-value < .001). The resulting areas under the receiver operating characteristic (ROC) curve were 0.78 for MGMT (d) for PTC versus goiter samples that can represent the overall ability of MGMT (d) methylation status to discriminate between PTC and goiter patients., Conclusion: Among seven candidate regions of ctDNA the MGMT (c) and MGMT (d) showed higher sensitivity and specificity for PTC as a suitable candidates as biomarkers of PTC., (© 2019 Wiley Periodicals, Inc.)