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 …
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 …
The downregulation of specific genes through DNA hypermethylation is a major hallmark of
cancer, although the extent and genomic distribution of hypermethylation occurring within …
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 …
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 …
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 …
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 …
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 …
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 …
modification to the DNA sequence. Alteration in the methylation pattern is a naturally …
[HTML][HTML] DNA CpG methylation in sequential glioblastoma specimens
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 …
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
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 …
Monte Carlo Feature Selection and Interdependencies Discovery (MCFS-ID) algorithm on …