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Background: The High Resolution Melting (HRM) technology has recently been introduced as a rapid and robust analysis tool for the detection of DNA methylation. The methylation status of multiple tumor suppressor genes may serve as biomarkers for early cancer diagnostics, for prediction of prognosis and for prediction of response to treatment. Therefore, it is important that methodologies for detection of DNA methylation continue to evolve. Sensitive Melting Analysis after Real Time - Methylation Specific PCR (SMART-MSP) and Methylation Sensitive - High Resolution Melting (MS-HRM) are two methods for single locus DNA methylation detection based on HRM.Methods: Here, we have assessed the quality of DNA extracted from up to 30 years old Formalin Fixed Paraffin Embedded (FFPE) tissue for DNA methylation analysis using SMART-MSP and MS-HRM. The quality assessment was performed on DNA extracted from 54 Non-Small Cell Lung Cancer (NSCLC) samples derived from FFPE tissue, collected over 30 years and grouped into five years intervals. For each sample, the methylation levels of the CDKN2A (p16) and RARB promoters were estimated using SMART-MSP and MS-HRM assays designed to assess the methylation status of the same CpG positions. This allowed for a direct comparison of the methylation levels estimated by the two methods for each sample.Results: CDKN2A promoter methylation levels were successfully determined by SMART-MSP and MS-HRM in all 54 samples. Identical methylation estimates were obtained by the two methods in 46 of the samples. The methylation levels of the RARB promoter were successfully determined by SMART-MSP in all samples. When using MS-HRM to assess RARB methylation five samples failed to amplify and 15 samples showed a melting profile characteristic for heterogeneous methylation. Twenty-seven of the remaining 34 samples, for which the methylation level could be estimated, gave the same result as observed when using SMART-MSP.Conclusion: MS-HRM and SMART-MSP can be successfully used for single locus methylation studies using DNA derived from up to 30 years old FFPE tissue. Furthermore, it can be expected that MS-HRM and SMART-MSP will provide similar methylation estimates when assays are designed to analyze the same CpG positions. [ABSTRACT FROM AUTHOR]

Introduction: Despite similar clinical and pathological features, large numbers of breast cancer patients experience different outcomes of the disease. This, together with the fact that the incidence of breast cancer is growing worldwide, emphasizes an urgent need for identification of new biomarkers for early cancer detection and stratification of patients., Methods: We used ultrahigh-resolution microarrays to compare genomewide methylation patterns of breast carcinomas (n = 20) and nonmalignant breast tissue (n = 5). Biomarker properties of a subset of discovered differentially methylated regions (DMRs) were validated using methylation-sensitive high-resolution melting (MS-HRM) in a case-control study on a panel of breast carcinomas (n = 275) and non-malignant controls (n = 74)., Results: On the basis of microarray results, we selected 19 DMRs for large-scale screening of cases and controls. Analysis of the screening results showed that all DMRs tested displayed significant gains of methylation in the cancer tissue compared to the levels in control tissue. Interestingly, we observed two types of locus-specific methylation, with loci undergoing either predominantly full or heterogeneous methylation during carcinogenesis. Almost all tested DMRs (17 of 19) displayed low-level methylation in nonmalignant breast tissue, independently of locus-specific methylation patterns in cases., Conclusions: Specific loci can undergo either heterogeneous or full methylation during carcinogenesis, and loci hypermethylated in cancer frequently show low-level methylation in nonmalignant tissue.

The human endogenous retrovirus HERV-K18 is located within intron 1 of CD48 on chromosome 1q and is still active in the human genome. Genetic variation in HERV-K18 single-nucleotide polymorphisms (SNPs) has previously been associated with an increased risk of schizophrenia (SZ) and with type 2 diabetes (T2D) among individuals with SZ. Here, we present a replication study of association of two SNPs in HERV-K18 and 19 tagSNPs in CD48 with (a) SZ and (b) T2D in patients with SZ in two Danish samples (total number of cases=750 and controls=1214). No association was found with SZ or with T2D among individuals with SZ for any of the investigated SNPs. However, one HERV-K18 SNP showed a tendency toward an association with T2D in younger SZ patients, in agreement with previous findings, but due to a very low sample size, this result needs to be further investigated.

Background: Recently it has been suggested that acquisition of methylation of the BRCA1 promoter detectable in peripheral blood (PB) DNA, could give raise to development of breast cancer. In this study, we aimed to investigate a relationship between methylation of three breast cancer related genes in PB DNA, and tumor specific (somatic) methylation of these genes in the same individual., Findings: We have examined methylation status of the BRCA1, APC and RASSF1A promoter regions in a panel of 75 breast tumor and PB DNA samples from the same individual. In our study group, 4.0% of the patients displayed methylation of BRCA1 and APC in both tumor and the corresponding PB DNA. At the same time despite of marked methylation in tumor DNA, no methylation of BRCA1 and APC was seen in PB DNA of 4.3% and 2.7% of the patients respectively. The RASSF1A promoter did not show methylation in PB DNA., Conclusions: Our results show that for at least a subset of cancer patients methylation of certain cancer related genes in PB DNA does not seem to be directly linked to somatic methylation of the same genes in tumor DNA, and therefore may only be specific to PB DNA.

The methylation-sensitive high-resolution melting (MS-HRM) protocol, as described by Wojdacz and Dobrovic, enables detection of a methylated template in an unmethylated background, with sensitivity similar to that of methylation-specific PCR (MSP). Furthermore, MS-HRM-based methylation screening is cost, labor and time efficient in contrast to direct bisulfite sequencing, which, therefore, is unsuitable as a screening method, but is still required to reveal the methylation status of individual CpG sites. In some experiments, detailed information on the methylation status of individual CpGs may be of interest for at least a subset of samples from MS-HRM-based methylation screening. For those samples, sequencing-based methodology has to be coupled with the MS-HRM protocol to investigate the methylation status of single CpG sites within the locus of interest. In this article, we review the limitations and advantages of MS-HRM and bisulfite sequencing protocols for single-locus methylation studies. Furthermore, we provide the insights into interpretation of the results obtained when a combination of the protocols is used for single-locus methylation studies.