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 f1 | 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 1. Establishment of prognostic antioxidant gene signatures in the training cohort. (A) Overlapping overall survival (OS)-related antioxidant genes in The Cancer Genome Atlas (TCGA) Sarcoma (TCGA-SARC) and Gene Expression Omnibus (GEO) GSE17674 datasets. (B) Overlapping disease free survival (DFS)-related antioxidant genes in the TCGA-SARC and GSE30929 datasets. (C) Least absolute shrinkage and selection operator (LASSO) regression analysis to screen the antioxidant genes for the predictive OS signature. (D) LASSO regression analysis to screen the antioxidant genes for the predictive DFS signature. (E) Forest plot of multivariate Cox regression analysis of the genes in the OS signature. (F) Forest plot of multivariate Cox regression analysis of the genes in the DFS signature.