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

Synergistic machine learning models utilizing ferroptosis-related genes for improved neuroblastoma outcome prediction

1 Dec 2024

Abstract excerpt

Background: Neuroblastoma (NB) is a highly heterogeneous and common pediatric malignancy with a poor prognosis. Ferroptosis, an iron-dependent cell death pathway, may play a crucial role in NB tumor progression and immune response. This study aimed to investigate ferroptosis in NB to identify potential therapeutic targets and develop predictive models for prognosis and recurrence. Methods: Six datasets were...

Read the complete abstract on PubMed

Topics

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

Share to Clusterin in disease pathology
Share to Ferroptosis and cancer prognosis
Share to Neuroblastoma Research and Treatments

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 39822999
DOI: 10.21037/tp-24-323

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

Synergistic machine learning models utilizing ferroptosis-related genes for improved neuroblastoma outcome predictionPMID 39822999Read ↗

Comprehensive Analysis Between Ferroptosis-Related Gene Signatures and Neuroblastoma PrognosisSemantic proximity Read ↗

Construction of a ferroptosis-based prediction model for the prognosis of MYCN-amplified neuroblastoma and screening and verification of target sitesSemantic proximity Read ↗

Identification of a ferroptosis-related gene signature for the prognosis of pediatric neuroblastomaSemantic proximity Read ↗

Identification of prognostic biomarkers in neuroblastoma using WGCNA and multi-omics analysisSemantic proximity Read ↗

Prognostic Prediction Model for Glioblastoma: A Ferroptosis-Related Gene Prediction Model and Independent External ValidationSemantic proximity Read ↗

Identification and validation of a prognostic model based on ferroptosis-associated genes in head and neck squamous cancerSemantic proximity Read ↗

Development of a ferroptosis-based model to predict prognosis, tumor microenvironment, and drug response for lung adenocarcinoma with weighted genes co-expression network analysisSemantic proximity Read ↗

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

Development and Validation of a Ferroptosis-Related Gene Signature for Overall Survival Prediction in Lung AdenocarcinomaSemantic proximity Read ↗

A Risk Assessment Model for Prognosis Prediction: The Ferroptosis-related Gene Signature Based on Thyroid Cancer Mechanism Exploration from Multiple PerspectivesSemantic proximity Read ↗

Bioinformatics identification of key genes associated with risk and prognosis of neuroblastomaSemantic proximity Read ↗

Identification of a novel signature derived from ferroptosis-related genes to predict prognosis, immune landscape and chemotherapeutic sensitivity in head and neck squamous cell carcinoma.Semantic proximity Read ↗

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