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Fig. 11 | Journal of Translational Medicine

Fig. 11

From: Determining the prognostic significance of alternative splicing events in soft tissue sarcoma using data from The Cancer Genome Atlas

Fig. 11

Kaplan–Meier (K–M) survival plots and receiving operating characteristic (ROC) curves of factors predictive of leiomyosarcoma. af K–M curves and ROC curves with AUCs in prognostic factors based on one type of alternative splicing event in leiomyosarcoma patients (a AA; b AD; c AP; d AT; e ES; f RI). An ME event could not be identified and, thus, could not be included in the analysis. g K–M curve and ROC curve with AUC of the final prognostic factors based on merged types of alternative splicing events in leiomyosarcoma. Prognostic models were constructed with the alternative splicing events that proved to be independent factors in the multivariate Cox regression analysis. AA alternate acceptor, AD alternate donor, AP alternate promoter, AT alternate terminator, ES exon skip, ME mutually exclusive exon, RI retained intron, AUC area under the curve, KM Kaplan–Meier, ROC receiver operating characteristic

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