https://quankun.shinyapps.io/sarcOS/; DFS: https://quankun.shinyapps.io/sarcDFS/).

Conclusions: The antioxidant gene signature models established in this study can be novel prognostic predictors for sarcoma." name="description"> A web-based calculator for predicting the prognosis of patients with sarcoma on the basis of antioxidant gene signatures - Figure f2 | Aging

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Research Paper Volume 14, Issue 3 pp 1407—1428

A web-based calculator for predicting the prognosis of patients with sarcoma on the basis of antioxidant gene signatures

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Figure 2. The five-gene prognostic signature predicts the OS of patients with sarcoma. (A) Risk score distribution in the TCGA-SARC dataset. (B) OS time distribution in the TCGA-SARC dataset. (C) Expression heatmap of the five genes in the TCGA-SARC dataset. (D) Kaplan–Meier analysis of OS based on the signature in the TCGA-SARC cohort. (E) Receiver operating characteristic (ROC) analysis of OS prediction in the TCGA-SARC cohort. (F) Risk score distribution in the GSE17674 dataset. (G) OS time distribution in the GSE17674 dataset. (H) Expression heatmap of the five genes in the TCGA-SARC dataset. (I) Kaplan–Meier analysis of OS based on the signature in the GSE17674 cohort. (J) ROC analysis of OS prediction in the GSE17674 cohort.