MethylMeter ® : Bisulfite-Free Quantitative and Sensitive DNA Methylation Profiling and Mutation Detection in FFPE Samples | Zendy

David McCarthy | Zendy; Walter Pulverer | Zendy; Andreas Weinhaeusel | Zendy; Oscar R. Diago | Zendy; Daniel J. Hogan | Zendy; Derek Ostertag | Zendy; Michelle M. Hanna | Zendy

Open Access

MethylMeter ^® : Bisulfite-Free Quantitative and Sensitive DNA Methylation Profiling and Mutation Detection in FFPE Samples

Author(s) -

David McCarthy,

Walter Pulverer,

Andreas Weinhaeusel,

Oscar R. Diago,

Daniel J. Hogan,

Derek Ostertag,

Michelle M. Hanna

Publication year - 2016

Publication title -

epigenomics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.265

H-Index - 60

eISSN - 1750-1911

pISSN - 1750-192X

DOI - 10.2217/epi-2016-0004

Subject(s) - dna methylation , biology , methylation , cpg site , bisulfite sequencing , bisulfite , microbiology and biotechnology , glioma , illumina methylation assay , temozolomide , cancer research , dna , gene , genetics , gene expression

Aim: Development of a sensitive method for DNA methylation profiling and associated mutation detection in clinical samples. Materials & methods: Formalin-fixed and paraffin-embedded tumors received by clinical laboratories often contain insufficient DNA for analysis with bisulfite or methylation sensitive restriction enzymes-based methods. To increase sensitivity, methyl-CpG DNA capture and Coupled Abscription PCR Signaling detection were combined in a new assay, MethylMeter ® . Gliomas were analyzed for MGMT methylation, glioma CpG island methylator phenotype and IDH1 R132H. Results: MethylMeter had 100% assay success rate measuring all five biomarkers in formalin-fixed and paraffin-embedded tissue. MGMT methylation results were supported by survival and mRNA expression data. Conclusion: MethylMeter is a sensitive and quantitative method for multitarget DNA methylation profiling and associated mutation detection. The MethylMeter-based GliomaSTRAT assay measures methylation of four targets and one mutation to simultaneously grade gliomas and predict their response to temozolomide. This information is clinically valuable in management of gliomas.

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