Integrated analysis of DNA methylation profiles in the malignant brain tumor glioblastom
Abstract
Glioblastoma is the most common and malignant human brain tumor. Patients with glioblastoma have very poor prognosis. Currently, many questions remain elusive in glioblastoma, including biology of glioblastoma, tumor development, and treatment response. Recent data suggests that using the high throughput genomic data to classify the tumors may be the best way to understand biology of glioblastoma. The Cancer Genomic Atlas (TCGA) project has recruited and characterized many different types of tumors, including glioblastoma. Their analysis of DNA methylation data identified six classes. One of them, named Glioblastoma CpG island methylation phenotype (G-CIMP), has very distinguished biological and clinical features. However, no significant differences were provided from the other five classes. Here an improved classification has been proposed based on the DNA methylation for glioblastoma. This methylation classification better reflects the biology of GBM than the previously reported classification. Moreover, this classification shows unique copy number variants and somatic mutation patterns associated with the methylation classification and the enrichment of certain gene expression subtypes for certain methylation classes. The glioblastoma stem-like cells were used as the validation for the new methylation classification. They reflect identical biology as compared to the tumors which emphasizing their role as a model for glioblastoma.
Subject Area
Genetics|Medicine|Public health|Bioinformatics|Oncology
Recommended Citation
Yang, Jie, "Integrated analysis of DNA methylation profiles in the malignant brain tumor glioblastom" (2015). Texas Medical Center Dissertations (via ProQuest). AAI1597033.
https://digitalcommons.library.tmc.edu/dissertations/AAI1597033