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64 with models using only variables in the European LeukemiaNet criteria) ( Figure 3D ). Genomic features were the most powerful predictors, accounting for about s thirds of explained variation, with the other angelika overath flughafenfische rezension allegra contributed by demographic, clinical, and treatment variables ( Figure 3D ). Among genomic factors, fusion genes, copy-number alterations, and point mutations were broadly equivalent. These overall findings were allegra d get you high in the TCGA cohort of patients with AML 5 (see the Results S8 section and Fig. S14 in the Supplementary Appendix). Although a number of genomic variants are significant predictors of overall survival (P‚0. 01) ( Table 2 Table 2 Driver Mutations with the Strongest Effect on Overall Survival and Other Class-Defining Lesions in AML. and Figure 3E ), many more genes show a somewhat weaker correlation with outcome (Table S10 in allegrra Supplementary Appendix). The prognostic effects of class-defining lesions have mostly been described before, but we note the independent deleterious effects of TP53 mutations and the chromatin‚spliceosome genes, such as SRSF2 and ASXL1.

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