Intratumor DNA methylation heterogeneity in glioblastoma: implications for DNA methylation-based classification

A Wenger, S Ferreyra Vega, T Kling, TO Bontell… - Neuro …, 2019 - academic.oup.com
Background A feature of glioblastoma (GBM) is cellular and molecular heterogeneity, both
within and between tumors. This variability causes a risk for sampling bias and potential …

Genome‐wide DNA methylation analysis of neuroblastic tumors reveals clinically relevant epigenetic events and large‐scale epigenomic alterations localized to …

PG Buckley, S Das, K Bryan, KM Watters… - … Journal of cancer, 2011 - Wiley Online Library
The downregulation of specific genes through DNA hypermethylation is a major hallmark of
cancer, although the extent and genomic distribution of hypermethylation occurring within …

[HTML][HTML] Integrative analysis of novel hypomethylation and gene expression signatures in glioblastomas

A Yin, A Etcheverry, Y He, M Aubry, J Barnholtz-Sloan… - Oncotarget, 2017 - ncbi.nlm.nih.gov
Molecular and clinical heterogeneity critically hinders better treatment outcome for
glioblastomas (GBMs); integrative analysis of genomic and epigenomic data may provide …

DNA methylation-based diagnostic and prognostic biomarkers for glioblastoma

Y Tang, C Qing, J Wang, Z Zeng - Cell Transplantation, 2020 - journals.sagepub.com
Glioblastomas are the most common primary central nervous system malignancy tumor in
adults. Glioblastoma patients have poor prognosis, with an average survival period of …

[HTML][HTML] Integrative analysis of DNA methylation and gene expression to identify key epigenetic genes in glioblastoma

D Jia, W Lin, H Tang, Y Cheng, K Xu, Y He… - Aging (Albany …, 2019 - ncbi.nlm.nih.gov
Glioblastoma (GBM) ranks the most common and aggressive primary brain malignant tumor
worldwide. However, the survival rates of patients remain very poor. Therefore, molecular …

[HTML][HTML] Downregulation of TES by hypermethylation in glioblastoma reduces cell apoptosis and predicts poor clinical outcome

Y Bai, QG Zhang, XH Wang - European journal of medical research, 2014 - Springer
Background Gliomas are the most common human brain tumors. Glioblastoma, also known
as glioblastoma multiform (GBM), is the most aggressive, malignant, and lethal glioma. The …

Construction of novel DNA methylation-based prognostic model to predict survival in glioblastoma

J Zhao, L Wang, D Kong, G Hu, B Wei - Journal of Computational …, 2020 - liebertpub.com
Glioblastoma (GBM) is a most aggressive primary cancer in brain with poor prognosis. This
study aimed to identify novel tumor biomarkers with independent prognostic values in GBMs …

[HTML][HTML] DNA methylation analysis identifies patterns in progressive glioma grades to predict patient survival

J Weng, N Salazar - International journal of molecular sciences, 2021 - mdpi.com
DNA methylation is an epigenetic change to the genome that impacts gene activities without
modification to the DNA sequence. Alteration in the methylation pattern is a naturally …

[HTML][HTML] DNA CpG methylation in sequential glioblastoma specimens

Z Kraboth, B Galik, M Tompa, B Kajtar, P Urban… - Journal of cancer …, 2020 - Springer
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 …

[HTML][HTML] Unveiling new interdependencies between significant DNA methylation sites, gene expression profiles and glioma patients survival

MJ Dabrowski, M Draminski, K Diamanti, K Stepniak… - Scientific reports, 2018 - nature.com
In order to find clinically useful prognostic markers for glioma patients' survival, we employed
Monte Carlo Feature Selection and Interdependencies Discovery (MCFS-ID) algorithm on …