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

Identification of a panel of genes as a prognostic biomarker for glioblastoma

16 Oct 2018

Abstract excerpt

BACKGROUND: Glioblastoma multiforme (GBM) is a fatal disease without effective therapy. Identification of new biomarkers for prognosis would enable more rational selections of strategies to cure patients with GBM and prevent disease relapse. METHODS: Seven datasets derived from GBM patients using microarray or next generation sequencing in R2 online database (http://r2.amc.nl) were extracted and then analyzed...

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 Natural Compounds in Disease Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 30341039
DOI: 10.1016/j.ebiom.2018.10.024

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of a panel of genes as a prognostic biomarker for glioblastomaPMID 30341039Read ↗

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

A Six-Immune-Related Genes Prognostic Signature for GlioblastomaSemantic proximity Read ↗

Expression Profile Analysis Identifies a Novel Five-Gene Signature to Improve Prognosis Prediction of GlioblastomaSemantic proximity Read ↗

Large-Scale Analysis Reveals Gene Signature for Survival Prediction in Primary GlioblastomaSemantic proximity Read ↗

A comprehensive prognostic signature for glioblastoma patients based on transcriptomics and single cell sequencingSemantic proximity Read ↗

A 5‐gene prognostic nomogram predicting survival probability of glioblastoma patientsSemantic proximity Read ↗

Identification of novel genes associated with diagnosis and prognosis in glioblastomaSemantic proximity Read ↗

Integrated Analysis to Evaluate the Prognostic Value of Signature mRNAs in Glioblastoma MultiformeSemantic proximity Read ↗

Identification of Hypoxia Prognostic Signature in Glioblastoma Multiforme Based on Bulk and Single-Cell RNA-SeqSemantic proximity Read ↗

A multigene predictor of outcome in glioblastomaSemantic proximity Read ↗

Identifying Predictive Gene Expression and Signature Related to Temozolomide Sensitivity of GlioblastomasSemantic proximity Read ↗

A RNA sequencing-based six-gene signature for survival prediction in patients with glioblastomaSemantic proximity Read ↗

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