A Glycerophospholipid Metabolism-Based Prognostic Model Guides Osteosarcoma Therapy.

ABSTRACT:

Background

Glycerophospholipid metabolism regulates membrane synthesis, signaling, and cell homeostasis, but its role in osteosarcoma (OS) progression, immunity, and therapy remains unclear.

Methods

We integrated bulk transcriptome data from TARGET (n = 85) and GEO cohorts (n = 124) with single-cell RNA-seq data (GSE162454, six OS samples). Glycerophospholipid metabolism activity was quantified using five algorithms to generate a GAS score. Prognostic genes were identified via univariate Cox regression, followed by Lasso-Cox modeling. Downstream analyses included cell communication, immune infiltration, mutation profiling, drug sensitivity, and immunotherapy response.

Results

Twelve cell types were identified; malignant OS cells showed the lowest glycerophospholipid m

SUBMITTER: Wen Y 

PROVIDER: S-EPMC12613023 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature