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Dataset Information

DNA CpG methylation in sequential glioblastoma specimens.


ABSTRACT:

Purpose

Glioblastoma is the most aggressive form of brain tumors. A better understanding of the molecular mechanisms leading to its evolution is essential for the development of treatments more effective than the available modalities. Here, we aim to identify molecular drivers of glioblastoma development and recurrence by analyzing DNA CpG methylation patterns in sequential samples.

Methods

DNA was isolated from 22 pairs of primary and recurrent formalin-fixed, paraffin-embedded glioblastoma specimens, and subjected to reduced representation bisulfite sequencing. Bioinformatic analyses were conducted to identify differentially methylated sites and pathways, and biostatistics was used to test correlations among clinical and pathological parameters.

Results

Differential

SUBMITTER: Kraboth Z 

PROVIDER: S-EPMC7519911 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature