Background: Osteosarcoma (OS) is a common clinical malignant bone tumor. This study aimed to identify M2 macrophage-associated factors to construct a prognostic model for OS. Methods: The osteosarcoma-related profiles including expression data and clinical information were obtained from TCGA and NCBI Gene Expression Omnibus, respectively. The M2 macrophage-associated differentially expressed RNAs (DERs) were identified between metastasis and nonmetastasis samples. LASSO Cox regression approach was applied to select the prognostic feature M2 macrophage-associated RNAs to construct a prognostic score (PS) model. The Kaplan–Meier approach was applied to analyze the survival. Univariate and multivariate Cox regression analysis were performed to screen the independent clinical prognostic factors. Receiver operating characteristic (ROC) curves were utilized to compare the effects of the prognostic models. Results: A total of 153 M2 macrophage-related DERs were determined. 12 M2 macrophage-associated RNAs were identified to establish the PS model. The high risk group was associated with the shorter survival. Age, tumor metastatic and PS model status were determined as the independent clinical prognostic factors. ROC curves showed that the combined model performed well on predicting the survival of OS. Conclusion: This study provided several M2 macrophage-associated factors as the valuable prognostic biomarkers for OS.
Jian Han (Fri,) studied this question.