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

The genes significantly associated with an improved prognosis and long-term survival of glioblastoma

29 Nov 2023

Abstract excerpt

BACKGROUND AND PURPOSE: Glioblastoma multiforme (GBM) is the most devastating brain tumor with less than 5% of patients surviving 5 years following diagnosis. Many studies have focused on the genetics of GBM with the aim of improving the prognosis of GBM patients. We investigated specific genes whose expressions are significantly related to both the length of the overall survival and the progression-free survival...

Read the complete abstract on PubMed

Topics

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

Share to Chromatin Remodeling and Cancer
Share to Ferroptosis and cancer prognosis
Share to Glioma Diagnosis and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38019838
DOI: 10.1371/journal.pone.0295061

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

The genes significantly associated with an improved prognosis and long-term survival of glioblastomaPMID 38019838Read ↗

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

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

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

A Novel 16-Genes Signature Scoring System as Prognostic Model to Evaluate Survival Risk in Patients with GlioblastomaSemantic proximity Read ↗

A Novel Six-mRNA Signature Predicts Survival of Patients With Glioblastoma MultiformeSemantic proximity Read ↗

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

Gene Expression Patterns Associated with Survival in GlioblastomaSemantic proximity Read ↗

The identification of key genes and pathways in glioblastoma by bioinformatics analysisSemantic proximity Read ↗

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

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

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