Bioinformatics Analysis Reveals an Association between Autophagy, Prognosis, Tumor Microenvironment, and Immunotherapy in Osteosarcoma

Figure 5

Prognostic value of the risk signature. (a) After stratifying the patients in Target dataset according to gender, newly diagnosed age, metastasis, and survival status, the core risks for the patients in the group were compared. (b–c) Univariate and multivariate Cox regression analysis determined the independent prognostic factors of osteosarcoma in Target dataset. (d) The nomogram constructed based on risk score and metastases predicted the 1 -, 3-, and 5-year survival rates of patients with osteosarcoma. (e) Calibration curves for nomogram. (f) DCA evaluated the net benefit of risk score and metastases and nomogram in predicting the prognosis of osteosarcoma. The asterisks represented the statistical value (ns, no statistical difference, , , , ).

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