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

Integrative Analysis of DNA Methylation and Gene Expression Identify a Three-Gene Signature for Predicting Prognosis in Lower-Grade Gliomas

1 Jan 2018

Abstract excerpt

BACKGROUND/AIMS: In the current study, we performed an integrated analysis of genome-wide methylation and gene expression data to find novel prognostic genes for lower-grade gliomas (LGGs). METHODS: First, TCGA methylation data were used to identify prognostic genes associated with promoter methylation. Second, candidate genes that were stably regulated by promoter methylation were explored. Third, Cox...

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 Glioma Diagnosis and Treatment
Share to Neurofibromatosis and Schwannoma Cases

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 29794476
DOI: 10.1159/000489954

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 20 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrative Analysis of DNA Methylation and Gene Expression Identify a Three-Gene Signature for Predicting Prognosis in Lower-Grade GliomasPMID 29794476Read ↗

Identification and validation of a three-gene signature as a candidate prognostic biomarker for lower grade gliomaSemantic proximity Read ↗

A Novel Four-Gene Signature Associated With Immune Checkpoint for Predicting Prognosis in Lower-Grade GliomaSemantic proximity Read ↗

PPIC, EMP3 and CHI3L1 Are Novel Prognostic Markers for High Grade GliomaSemantic proximity Read ↗

A multi-omics analysis-based model to predict the prognosis of low-grade gliomas.Semantic proximity Read ↗

Five Genes Associated With Survival in Patients With Lower-grade Gliomas Were Identified by Information-theoretical AnalysisSemantic proximity Read ↗

Identification of an epigenetic prognostic signature for patients with lower‐grade gliomasSemantic proximity Read ↗

Whole-Genome Expression Microarray Combined with Machine Learning to Identify Prognostic Biomarkers for High-Grade Glioma.Semantic proximity Read ↗

A four-gene signature-derived risk score for glioblastoma: prospects for prognostic and response predictive analysesSemantic proximity Read ↗

Development of a Prognostic Five-Gene Signature with Radiotherapy Guidance Significance for Diffuse Lower-Grade Glioma Patients Based on Large-Scale Sequencing DataSemantic proximity Read ↗

Identification of potential biomarkers related to glioma survival by gene expression profile analysisSemantic proximity Read ↗

Development and Validation of a Novel DNA Methylation-Driven Gene Based Molecular Classification and Predictive Model for Overall Survival and Immunotherapy Response in Patients With Glioblastoma: A Multiomic AnalysisSemantic proximity Read ↗

A three-gene signature for prognosis in patients with MGMT promoter-methylated glioblastomaSemantic proximity Read ↗

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