Figure 4From: A comprehensive analysis of prognostic signatures reveals the high predictive capacity of the Proliferation, Immune response and RNA splicing modules in breast cancerOverlap and performance analysis of 724 samples with distant metastasis-free survival as the endpoint. (a) Distribution of the samples as a function of the number of times a sample was classified as of poor prognosis by the gene signatures. (b) Distribution of metastasis events as a function of the number of times a sample was classified as of poor prognosis by the gene expression signatures. (c) Distribution of estrogen receptor (ER)-negative samples as a function of the number of times a sample was classified as of poor prognosis by the gene signatures. (d) Distribution of HER2 amplified samples as a function of the number of times a sample was classified as of poor prognosis by the gene signatures. (e) Tumor size (mean, 5th, 25th, 75th and 95th percentiles) as a function of the number of times a sample was classified as of poor prognosis by the gene signatures. (f) Distribution of grade I, grade II and grade III samples (Elston Ellis) as a function of the number of times a sample was classified as of poor prognosis by the gene signatures. Dark shading, grade I; grey shading, grade II; pale shading, grade III. (g) Average predictive accuracy (percentage of samples well classified) as a function of the number of times a sample was classified as of poor prognosis by the gene signatures.Back to article page