Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis.

ABSTRACT:

Background

Osteosarcoma is a rare tumor with poor clinical outcomes. New therapeutic targets are urgently needed. Previous research indicates that genes abnormally expressed in osteosarcoma are significantly involved in the arachidonic acid (AA) metabolic pathway. However, the role of arachidonic acid metabolism-related genes (AAMRGs) in osteosarcoma prognosis remains unknown.

Methods

Osteosarcoma samples from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were classified into high-score and low-score groups based on AAMRGs scores obtained through ssGSEA analysis. The intersecting genes were identified from weighted gene co-expression network analysis (WGCNA), DEGs (osteosarcoma vs. normal) and DE-AAMRGs (high- vs. low-score). An AA metabolism pre

SUBMITTER: Wang Y 

PROVIDER: S-EPMC11905593 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature