Construction and Validation of a Macrophage-Associated Risk Model for Predicting the Prognosis of Osteosarcoma.

ABSTRACT:

Background

Osteosarcoma is one of the most common bone tumors among children. Tumor-associated macrophages have been found to interact with tumor cells, secreting a variety of cytokines about tumor growth, metastasis, and prognosis. This study aimed to identify macrophage-associated genes (MAGs) signatures to predict the prognosis of osteosarcoma.

Methods

Totally 384 MAGs were collected from GSEA software C7: immunologic signature gene sets. Differential gene expression (DGE) analysis was performed between normal bone samples and osteosarcoma samples in GSE99671. Kaplan-Meier survival analysis was performed to identify prognostic MAGs in TARGET-OS. Decision curve analysis (DCA), nomogram, receiver operating characteristic (ROC), and survival curve analysis were further used

SUBMITTER: Xiao KW 

PROVIDER: S-EPMC8192206 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature