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 and verification of a polyamine metabolism-related gene signature for predicting prognosis and immune infiltration in osteosarcoma

18 May 2025

Abstract excerpt

BACKGROUND: Although an established correlation exists between tumor cell proliferation and elevated polyamine levels, research on polyamine metabolism in osteosarcoma (OS) remains limited. This study aimed to identify polyamine metabolism-related genes (PMRGs) associated with OS prognosis and develop a prognostic model, thereby offering novel insights into targeted therapies for patients with OS. METHODS:...

Read the complete abstract on PubMed

Topics

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

Share to Microbial metabolism and enzyme function
Share to Neuroblastoma Research and Treatments
Share to Polyamine Metabolism and Applications

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

Source

Identifiers

PMID: 40383808
DOI: 10.1186/s13018-025-05716-0

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

Identification and verification of a polyamine metabolism-related gene signature for predicting prognosis and immune infiltration in osteosarcomaPMID 40383808Read ↗

The hexosamine biosynthesis pathway-related gene signature correlates with immune infiltration and predicts prognosis of patients with osteosarcomaSemantic proximity Read ↗

Identification of amino acid metabolism-based molecular subtypes and prognostic signature to predict immune landscape and guide clinical drug treatment in osteosarcomaSemantic proximity Read ↗

Development of a polyamine gene expression score for predicting prognosis and treatment response in clear cell renal cell carcinomaSemantic proximity Read ↗

Comprehensive analysis of a glycolysis and cholesterol synthesis-related genes signature for predicting prognosis and immune landscape in osteosarcomaSemantic proximity Read ↗

Development and validation of polyamines metabolism-associated gene signatures to predict prognosis and immunotherapy response in lung adenocarcinomaSemantic proximity Read ↗

Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysisSemantic proximity Read ↗

Expression of Lipid-Metabolism Genes Is Correlated With Immune Microenvironment and Predicts Prognosis in OsteosarcomaSemantic proximity Read ↗

Integrative Multi-Omics and Single-Cell Analyses Reveal that Polyamine Metabolic Reprogramming Shapes an Immunosuppressive Microenvironment and Identifies ZWINT as a Prognostic Biomarker and Therapeutic Target in Lung AdenocarcinomaSemantic proximity Read ↗

Development of a Risk Model and Genotyping Patterns Based on Disulfidptosis-Related lncRNAs to Predict Prognosis and Immune Landscape in Osteosarcoma.Semantic proximity Read ↗

RNA adenosine modifications related to the prognosis and immune infiltration in osteosarcomaSemantic proximity Read ↗

Identification of Mitochondrial-related Characteristic Biomarkers inOsteosarcoma using Bioinformatics and Machine LearningSemantic proximity Read ↗

Identification of a Solute Carrier Family-Based Signature for Predicting Overall Survival in OsteosarcomaSemantic proximity Read ↗

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