Research Paper Volume 13, Issue 2 pp 2168—2183

Comprehensive analysis of immune infiltration and gene expression for predicting survival in patients with sarcomas

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Figure 5. Immunomodulators significantly associated with prognosis in sarcoma. Forest plots of univariate Cox-regression analysis for 20 immunomodulators in the (A) DDLPS, (B) LMS, (C) MFS, (D) MPNST, (E) SS and (F) UPS. Forest plot of multivariate Cox analysis for the immunomodulators model in the (G) LMS and (J) UPS. The hazard ratio with 95% CI and P-values were illustrated in the figure (* p < 0.05, ** p < 0.01, *** p < 0.001). The immunomodulator model significantly predicts OS in (H) LMS and (K) UPS, and the high- and low- risk groups were divided based on the median. Receiver-operating characteristic (ROC) analysis of one-year survival prediction by the immunomodulator model in (I) LMS and (L) UPS. AUC: area under the curve, DDLPS: dedifferentiated liposarcoma, LMS: leiomyosarcoma, MFS: myxofibrosarcoma, MPNST: malignant peripheral nerve sheath tumor, SS: synovial sarcoma, UPS: undifferentiated pleomorphic sarcoma and HR: hazard ratio.