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

Association Between Diverse Cell Death Patterns Related Gene Signature and Prognosis, Drug Sensitivity, and Immune Microenvironment in Glioblastoma

12 Jan 2024

Abstract excerpt

Glioblastoma (GBM) is the most invasive type of glioma and is difficult to treat. Diverse programmed cell death (PCD) patterns have a significant association with tumor initiation and progression. A novel prognostic model based on PCD genes may serve as an effective tool to predict the prognosis of GBM. The study incorporated 11 PCD patterns, namely apoptosis, necroptosis, pyroptosis, ferroptosis, cuproptosis,...

Read the complete abstract on PubMed

Topics

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

Share to Autophagy in Disease and Therapy
Share to Ferroptosis and cancer prognosis
Share to MicroRNA in disease regulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38214842
DOI: 10.1007/s12031-023-02181-4

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Association Between Diverse Cell Death Patterns Related Gene Signature and Prognosis, Drug Sensitivity, and Immune Microenvironment in GlioblastomaPMID 38214842Read ↗

Prognostic value and immune relevancy of a combined autophagy-, apoptosis- and necrosis-related gene signature in glioblastomaSemantic proximity Read ↗

Machine learning-based investigation of regulated cell death for predicting prognosis and immunotherapy response in glioma patientsSemantic proximity Read ↗

Machine learning-based investigation of regulated cell death for predicting prognosis and immunotherapy response in glioma patientsSemantic proximity Read ↗

Identification and Validation of an 11-Ferroptosis Related Gene Signature and Its Correlation With Immune Checkpoint Molecules in GliomaSemantic proximity Read ↗

A Pyroptosis-Related Gene Signature Associated with Prognosis and Tumor Immune Microenvironment in GliomasSemantic proximity Read ↗

Characterization of ferroptosis signature to evaluate the predict prognosis and immunotherapy in glioblastomaSemantic proximity Read ↗

Pyroptosis-Related Gene Signature Predicts Prognosis and Indicates Immune Microenvironment Infiltration in GliomaSemantic proximity Read ↗

A Novel Defined Pyroptosis-Related Gene Signature for Predicting Prognosis and Treatment of GliomaSemantic proximity Read ↗

A Ferroptosis‐Related Prognostic Risk Score Model to Predict Clinical Significance and Immunogenic Characteristics in Glioblastoma MultiformeSemantic proximity Read ↗

Diverse cell death signature based subtypes predict the prognosis and immune characteristics within gliomaSemantic proximity Read ↗

Leveraging a diverse cell-death patterns-based signature to predict the prognosis of low- grade gliomasSemantic proximity Read ↗

Interaction, immune infiltration characteristics and prognostic modeling of efferocytosis-related subtypes in glioblastomaSemantic proximity Read ↗

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