Abstract
Background: Osteosarcoma is the most general bone malignancy that mostly affects children and adolescents. Numerous stem cell-related genes have been founded in distinct forms of cancer. This study aimed at identifying a stem cell-related gene model for the expected assessment of the prognosis of osteosarcoma patients.Methods: We obtained the genes expression data and relevant clinical materials from Therapeutically Applicable Research to Generate Effective Treatments (TARGET) and Gene Expression Omnibus (GEO) databases. We identified differentially expressed genes (DEGs) from the GEO dataset, whereas prognostic stem cell-related genes were obtained from the TARGET database. Subsequently, univariate, LASSO and multivariate Cox regression analyses were applied to establish the stem cell-related signature. Finally, the prognostic value of the signature was validated in the GEO dataset.Results: Twenty-five genes were prognostic ferroptosis-related DEGs. Consequently, we identified eight stem cell-related genes as a signature of prognosis of osteosarcoma patients. Then, the Kaplan–Meier (K-M) curve, the AUC value of ROC, and Cox regression analysis verified that the eight stem cell-related gene model were a new and substantial prognostic marker independent of other clinical traits. Moreover, the nomogram on the foundation of risk score and other clinical traits was established for predicting the survival rate of osteosarcoma patients. Biological function analyses displayed that tumor related pathways were affluent.Conclusion: The expression level of stem cell-related genes offers novel prognostic markers as well as underlying therapeutic targets for the therapy and prevention of osteosarcoma.
Highlights
Osteosarcoma is the most general bone malignancy that mostly affects children and adolescents
The overall survival rate of 5 years in cases diagnosed with early pulmonary metastasis is less than 20%
The curves of K-M and receiver-operating characteristic (ROC) confirmed that the predictive performance of the signature is stable and consistent with the TARGET internal and Gene Expression Omnibus (GEO) external validation sets, and it was remarkably associated with the clinicopathological features and matrix score
Summary
Osteosarcoma is the most general bone malignancy that mostly affects children and adolescents. Numerous stem cell-related genes have been founded in distinct forms of cancer. This study aimed at identifying a stem cell-related gene model for the expected assessment of the prognosis of osteosarcoma patients. Stem Cell-Related Gene Signature osteosarcoma patients (Bielack et al, 2002). Other studies have shown that over the last 30 years, neoadjuvant chemotherapy and surgical techniques have developed, and the survival rate of 5 years in these patients has increased to ∼70% (Bielack et al, 2002; Niu et al, 2019; Wakamatsu et al, 2019). The overall survival rate of 5 years in cases diagnosed with early pulmonary metastasis is less than 20%. It is imperative to explore novel prognostic models to further improve the survival of osteosarcoma patients
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