Unknown

Dataset Information

Multi-omics-based construction of a palmitoylation-driven prognostic model reveals tumor immune phenotypes in osteosarcoma.


ABSTRACT:

Background

Osteosarcoma (OS), the leading primary malignancy of bone in adolescents, is known for its aggressive metastatic behavior and poor responsiveness to conventional therapies. As a lipid-mediated post-translational modification, protein palmitoylation has gained attention for its pivotal role in modulating oncogenic signaling pathways and facilitating tumor immune escape. However, its prognostic value and functional role in OS remain unclear.

Methods

Transcriptomic and clinical data from the TARGET and GEO cohorts were used to identify palmitoylation-related prognostic genes. The palmitoylation-related prognostic signature (PPS) was constructed using univariate Cox and LASSO regression. The model was validated by GSE39058 and assessed via survival analysis, ROC curve

SUBMITTER: Chen J 

PROVIDER: S-EPMC12350906 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature