Unknown

Dataset Information

Identification and Verification of Immune Metabolism-Related Biomarkers and Immune Infiltration Landscape for Pediatric Opsoclonus Myoclonus Ataxia Syndrome in Neuroblastoma.


ABSTRACT:

Purpose

This study aims to screen immune metabolism-associated biomarkers for pediatric opsoclonus myoclonus ataxia syndrome (OMAS) in neuroblastoma.

Methods

Immune metabolism-related genes were retrieved from the GeneCards database. The differentially expressed immune metabolism-related genes in OMAS were identified by bioinformatics, immune infiltration, and WGCNA analyses. The diagnostic genes were screened by three machine learning algorithms and validated by ROC curve and nomogram model. Correlation between diagnostic genes and differential immune infiltrated cells, GSEA, and drug chemistry small-molecule analyses was performed. Lastly, validation was performed in eight paired clinical samples.

Results

Total 162 differentially immune metabolism-related genes were

SUBMITTER: Li M 

PROVIDER: S-EPMC12586342 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature