Abstract
Abstract In cancer, DNA methylation affects important signal transduction pathways leading to altered receptor function, disruption of normal cell-cell interaction, etc. Since methylation occurs at a very early stage, hypermethylated promoters hold great promise as biomarkers for early detection and an effective drug target for gene reactivation. The Notch signaling pathway is one such developmental pathway governing cell fate decisions. Dysregulated Notch signaling is found to have a prominent role in the development of various cancers. Glioblastoma is the most common primary brain tumor with a very poor prognosis. Therefore it is important to study genetic and epigenetic events leading to gliomagenesis and to guide new treatment strategies. The aim of this study was to detect Notch pathway genes potentially regulated by promoter methylation in human glioblastoma. We used real-time PCR and methylation-specific PCR to study gene expression and methylation status of seven Notch pathway genes (Notch1, Notch2, Notch3, Notch4, JAG1, JAG2 and DLL3) from human glioblastoma formalin fixed paraffin embedded sections. We identified Notch3 and JAG2 promoters as methylated and Notch4 with both methylated and unmethylated promoter. Despite methylation, Notch3 gene showed robust gene expression suggesting its partial dependency on promoter methylation and the presence of alternative regulatory mechanisms. However, low gene expression of JAG2 and the absence of Notch4 gene expression suggest a possibility of epigenetic silencing. This study for the first time provides gene expression and DNA methylation profiles of Notch pathway genes from glioblastoma patient samples. We have identified genes whose expression may be regulated by epigenetic mechanisms and thus can be used as markers that may guide treatment decisions. Note: This abstract was not presented at the conference. Citation Format: Madhuri G S Aithal, Rajeswari Narayanappa. Analysis of gene expression and DNA methylation profiles of Notch signaling pathway genes in human glioblastoma. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(5 Suppl):Abstract nr A10.
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