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Hypermethylation of CpG islands is a common epigenetic alteration associated with cancer. Global patterns of hypermethylation are tumor-type specific and nonrandom. The biological significance and the underlying mechanisms of tumor-specific aberrant promoter methylation remain unclear, but some evidence suggests that this specificity involves differential sequence susceptibilities, the targeting of DNA methylation activity to specific promoter sequences, or the selection of rare DNA methylation events during disease progression. Using restriction landmark genomic scanning on samples derived from tissue culture and in vivo models of T cell lymphomas, we found that MYC overexpression gave rise to a specific signature of CpG island hypermethylation. This signature reflected gene transcription profiles and was detected only in advanced stages of disease. The further inactivation of the Pten, p53, and E2f2 tumor suppressors in MYC-induced lymphomas resulted in distinct and diagnostic CpG island methylation signatures. Our data suggest that tumor-specific DNA methylation in lymphomas arises as a result of the selection of rare DNA methylation events during the course of tumor development. This selection appears to be driven by the genetic configuration of tumor cells, providing experimental evidence for a causal role of DNA hypermethylation in tumor progression and an explanation for the tremendous epigenetic heterogeneity observed in the evolution of human cancers. The ability to predict genome-wide epigenetic silencing based on relatively few genetic alterations will allow for a more complete classification of tumors and understanding of tumor cell biology., Competing Interests: Competing interests. The authors have declared that no competing interests exist.

DNA methylation is the best-studied epigenetic modification and describes the conversion of cytosine to 5-methylcytosine. The importance of this phenomenon is that aberrant promoter hypermethylation is a common occurrence in cancer and is frequently associated with gene silencing. Various techniques are currently available for the analysis of DNA methylation. However, accurate and reproducible quantification of DNA methylation remains challenging. In this report, we describe Bio-COBRA (combined bisulfite restriction analysis coupled with the Agilent 2100 Bioanalyzer platform), as a novel approach to quantitative DNA methylation analysis. The combination of a well-established method, COBRA, which interrogates DNA methylation via the restriction enzyme analysis of PCR-amplified bisulfite treated DNAs, with the Bioanalyzer platform allows for the rapid and quantitative assessment of DNA methylation patterns in large sample sets. The sensitivity and reproducibility of Bio-COBRA make it a valuable tool for the analysis of DNA methylation in clinical samples, which could aid in the development of diagnostic and prognostic parameters with respect to disease detection and management.

Aberrant promoter methylation and associated chromatin changes are primarily studied in human malignancies. Thus far, mouse models for human cancer have been rarely utilized to study the role of DNA methylation in tumor onset and progression. It would be advantageous to use mouse tumor models to a greater extent to study the role and mechanism of DNA methylation in cancer because mouse models allow manipulation of the genome, study of samples/populations with a homogeneous genetic background, the possibility of modulating gene expression in vivo, the statistical power of using large numbers of tumor samples, access to various tumor stages, and the possibility of preclinical trials. Therefore, it is likely that the mouse will emerge as an increasingly utilized model to study DNA methylation in cancer. To foster the use of mouse models, we developed an arrayed mouse NotI-EcoRV genomic library, with clones from three commonly used mouse strains (129SvIMJ, FVB/NJ, and C57BL/6J). A total of 23,040 clones representing an estimated three- to fourfold coverage of the mouse genome were arrayed in 60 x 384-well plates. We developed restriction landmark genomic scanning (RLGS) mixing gels with 32 plates to enable the cloning of methylated sequences from RLGS profiles run with NotI-EcoRV-HinfI. RLGS was used to study aberrant methylation in two mouse models that overexpressed IL-15 or c-Myc and developed either T/NK-cell leukemia or T-cell lymphomas, respectively. Careful analysis of 198 sequences showed that 188 (94.9%) identified CpG-island sequences, 132 sequences (66.7%) had homology to the 5' regions of known genes or mRNAs, and all 132 NotI-EcoRV clones were located at the same CpG islands with the predicted promoter sequences. We have also developed a modified pGL3-based luciferase vector that now contains the NotI, AscI, and EcoRV restriction sites and allows the rapid cloning of NotI-EcoRV library fragments in both orientations. Luciferase assays using NotI-EcoRV clones confirmed that the library is enriched for promoter sequences. Thus, this library will support future genetic and epigenetic studies in mouse models., (Copyright 2004 Elsevier Inc.)

Knudson's two-hit hypothesis postulates that genetic alterations in both alleles are required for the inactivation of tumor-suppressor genes. Genetic alterations include small or large deletions and mutations. Over the past years, it has become clear that epigenetic alterations such as DNA methylation are additional mechanisms for gene silencing. Restriction Landmark Genomic Scanning (RLGS) is a two-dimensional gel electrophoresis that assesses the methylation status of thousands of CpG islands. RLGS has been applied successfully to scan cancer genomes for aberrant DNA methylation patterns. So far, the majority of this work was done using NotI as the restriction landmark site. Here, we describe the development of RLGS using AscI as the restriction landmark site for genome-wide scans of cancer genomes. The availability of AscI as a restriction landmark for RLGS allows for scanning almost twice as many CpG islands in the human genome compared with using NotI only. We describe the development of an AscI-EcoRV boundary library that supports the cloning of novel methylated genes. Feasibility of this system is shown in three tumor types, medulloblastomas, lung cancers, and head and neck cancers. We report the cloning of 178 AscI RLGS fragments via two methods by use of this library.