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Fig. 4 | Lipids in Health and Disease

Fig. 4

From: A novel fatty acid metabolism-related signature identifies features of the tumor microenvironment and predicts clinical outcome in acute myeloid leukemia

Fig. 4

Construction and validation of the risk-score model. A Determination of the log(λ) corresponding to the minimum tenfold cross-validation error point. B The non-0 coefficient corresponding to the same log(λ) value. C Survival analysis between the high-risk and low-risk score groups in The Cancer Genome Atlas (TCGA) cohort performed using the log-rank test. D Time-dependent receiver operating characteristic (ROC) curve analysis of the risk score in the TCGA cohort. E Survival analysis between the high-risk and low-risk score groups in the Gene Expression Omnibus (GEO) cohort performed using the log-rank test. F Time-dependent ROC curve analysis of the risk score in the GEO cohort. G, I Univariate independent prognostic analyses of the clinicopathologic factors and risk score; G: TCGA cohort and I: GEO cohort. H, J Multivariate independent prognostic analyses of the clinicopathologic factors and risk score; H: TCGA cohort, and J: GEO cohort

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Lipids in Health and Disease

ISSN: 1476-511X