Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

DNA Methylation-based Diagnostic and Prognostic Biomarkers for Glioblastoma

1 Jan 2020

Abstract excerpt

Glioblastomas are the most common primary central nervous system malignancy tumor in adults. Glioblastoma patients have poor prognosis, with an average survival period of approximately 14 mo after diagnosis. To date, there are a limited number of effective treatment methods for glioblastoma, and its molecular mechanisms remain elusive. In this article, we analyzed the key biomarkers and pathways in glioblastoma...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Ferroptosis and cancer prognosis
Share to RNA Research and Splicing
Share to S100 Proteins and Annexins

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 32510239
DOI: 10.1177/0963689720933241

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

DNA Methylation-based Diagnostic and Prognostic Biomarkers for GlioblastomaPMID 32510239Read ↗

Identification of novel prognostic targets in glioblastoma using bioinformatics analysisSemantic proximity Read ↗

Identification of Potential Key Genes Associated with the Pathogenesis and Prognosis of Glioblastoma Based on Integrated Bioinformatics AnalysisSemantic proximity Read ↗

Glioblastoma: An Update in Pathology, Molecular Mechanisms and BiomarkersSemantic proximity Read ↗

Identification of Biomarkers Related to Prognosis of Glioblastoma and Their Correlation with Immune Infiltration CellsSemantic proximity Read ↗

Identification of aberrantly methylated differentially expressed genes in glioblastoma multiforme and their association with patient survivalSemantic proximity Read ↗

Gene Expression Profiling of Glioblastoma to Recognize Potential Biomarker CandidatesSemantic proximity Read ↗

Identification of Key Differentially Expressed Transcription Factors in GlioblastomaSemantic proximity Read ↗

Identification of Candidate Genes Associated With Prognosis in GlioblastomaSemantic proximity Read ↗

Gene Expression Patterns Associated with Survival in GlioblastomaSemantic proximity Read ↗

Identification of a Novel Eight-Gene Risk Model for Predicting Survival in Glioblastoma: A Comprehensive Bioinformatic AnalysisSemantic proximity Read ↗

Genomic, epigenomic and transcriptomic landscape of glioblastoma.Semantic proximity Read ↗

Elucidating the Predominant Role of AEBP1 in Different Types of Cancers with a Focus on Glioblastoma Progression – A ReviewSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.