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Quantitative methodology is critical for assessing DNA methylation and impacts on correlation with patient outcome
- Source :
- Clinical Epigenetics
- Publication Year :
- 2014
- Publisher :
- BioMed Central, 2014.
-
Abstract
- Background DNA hypermethylation is reported as a frequent event and prognostic marker in head and neck squamous cell carcinomas (HNSCC). Methylation has been commonly assessed with non-quantitative methodologies, such as methylation-specific PCR (MSP). We investigated previously reported hypermethylated genes with quantitative methodology in oral tongue squamous cell carcinomas (OTSCC). Results The methylation status of 12 genes in 115 OTSCC samples was assessed by one or more of three quantitative analyses: methylation sensitive high resolution melting (MS-HRM), sensitive-melting analysis after real time-methylation specific PCR (SMART-MSP), and bisulfite pyrosequencing. In contrast to much of the literature, either no or infrequent locus-specific methylation was identified by MS-HRM for DAPK1, RASSF1A, MGMT, MLH1, APC, CDH1, CDH13, BRCA1, ERCC1, and ATM. The most frequently methylated loci were RUNX3 (18/108 methylated) and ABO (22/107 methylated). Interrogation of the Cancer Genome Atlas (TCGA) HNSCC cohort confirmed the frequency of significant methylation for the loci investigated. Heterogeneous methylation of RUNX3 (18/108) and ABO (22/107) detected by MS-HRM, conferred significantly worse survival (P = 0.01, and P = 0.03). However, following quantification of methylation levels using pyrosequencing, only four tumors had significant quantities (>15%) of RUNX3 methylation which correlated with a worse patient outcome (P
- Subjects :
- Oncology
medicine.medical_specialty
RUNX3
Research
Head and neck cancer
Microsatellite instability
Methylation
Biology
medicine.disease
MLH1
Bioinformatics
High Resolution Melt
Tongue
ABO blood group system
Internal medicine
DNA methylation
Genetics
medicine
ERCC1
Molecular Biology
Genetics (clinical)
Developmental Biology
Quantitative
Subjects
Details
- Language :
- English
- ISSN :
- 18687083 and 18687075
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Clinical Epigenetics
- Accession number :
- edsair.doi.dedup.....e0b46f69e246ed184339d14ec5531fcf