ArticleFrontiers in genetics2019
Specific Glioma Prognostic Subtype Distinctions Based on DNA Methylation Patterns.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Fumonisin BEpigenetics · 2025Article
- Iron content of glioblastoma tumours and role of ferrous iron in the hypoxic responseFrontiers in oncology · 2025Article
- Epigenetic clocks and gliomas: unveiling the molecular interactions between aging and tumor development.Frontiers in molecular biosciences · 2024Review
- HTRA1 methylation in peripheral blood as a potential marker for the preclinical detection of stroke: a case-control study and a prospective nested case-control study.Clinical epigenetics · 2022Article
- Review
- Safety and tolerability of asunercept plus standard radiotherapy/temozolomide in Asian patients with newly-diagnosed glioblastoma: a phase I study.Scientific reports · 2021Article
- Reclassification of Kidney Clear Cell Carcinoma Based on Immune Cell Gene-Related DNA CpG Pairs.Biomedicines · 2021Article
- DNA Methylation Analysis Identifies Patterns in Progressive Glioma Grades to Predict Patient Survival.International journal of molecular sciences · 2021Article
- Article
- Article
- Ionizing Radiation-Induced Epigenetic Modifications and Their Relevance to Radiation Protection.International journal of molecular sciences · 2020Review
- Comprehensive Review of Web Servers and Bioinformatics Tools for Cancer Prognosis Analysis.Frontiers in oncology · 2020Review
- Co-expression network analysis identifies a gene signature as a predictive biomarker for energy metabolism in osteosarcoma.Cancer cell international · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA methylation is an important regulator of gene expression and may provide an important basis for effective glioma diagnosis and therapy. Here, we explored specific prognosis subtypes based on DNA methylation status using 653 gliomas from The Cancer Genome Atlas (TCGA) database. Five subgroups were distinguished by consensus clustering using 11,637 cytosines preceding a guanosine (CpGs) that significantly influenced survival. The specific DNA methylation patterns were correlated with age, tumor stage, and prognosis. Additionally, weighted gene co-expression network analysis (WGCNA) analysis of CpG sites revealed that 11 of them could distinguish the samples into high- and low-methylation groups and could classify the prognostic information of samples after cluster analysis of the training set samples using the hierarchical clustering algorithm. Similar results were obtained from the test set and 12 glioma patients. Moreover,
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