2016
DOI: 10.1002/cam4.762
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Multiplexed methylation profiles of tumor suppressor genes and clinical outcome in oligodendroglial tumors

Abstract: Aberrant methylation has been associated with transcriptional inactivation of tumor‐related genes in a wide spectrum of human neoplasms. The influence of DNA methylation in oligodendroglial tumors is not fully understood. Genomic DNA was isolated from 61 oligodendroglial tumors for analysis of methylation using methylation‐specific multiplex ligation‐dependent probe amplification assay (MS‐MLPA). We correlated methylation status with clinicopathological findings and outcome. The genes found to be most frequent… Show more

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Cited by 8 publications
(4 citation statements)
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“…Recent data implicate that in ER-positive tumors, CpG methylation levels are inversely correlated with ER expression status, suggesting that single CpG site plays an important role in the regulation of ER transcription (24). Many studies are focused on ESR1 methylation in various cancer types (25)(26)(27)(28)(29), but only a limited number proves a clinical relevance in terms of diagnosis (30), prognosis (31), and response to therapy (32).…”
Section: Introductionmentioning
confidence: 99%
“…Recent data implicate that in ER-positive tumors, CpG methylation levels are inversely correlated with ER expression status, suggesting that single CpG site plays an important role in the regulation of ER transcription (24). Many studies are focused on ESR1 methylation in various cancer types (25)(26)(27)(28)(29), but only a limited number proves a clinical relevance in terms of diagnosis (30), prognosis (31), and response to therapy (32).…”
Section: Introductionmentioning
confidence: 99%
“…Aberrant methylation was identified by the appearance of a signal peak after HhaI enzyme digestion, and methylation was scored when the calculated ratio compared with normal unmethylated loci was more than 15%. 43 …”
Section: Methodsmentioning
confidence: 99%
“…Great efforts have been made to identify molecular markers for prognostic prediction. Many recent studies have focused on gene expression profiles in glioma to construct signatures 510 , which have shown great promise for prognostic prediction in individual patients. However, the limitation of the gene selection method, which uses formula designation for application within different platforms, is also obvious.…”
Section: Introductionmentioning
confidence: 99%