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Fig. 5 | Journal of Translational Medicine

Fig. 5

From: A machine learning framework develops a DNA replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancer

Fig. 5

Multi-omic characterization of RSS-high and RSS-low patients. Recurrent copy number A amplification and B deletion regions detected in the RSS-high group. Recurrent copy number C amplification and D deletion regions detected in the RSS-low group. E The oncoprint of genes affected by recurrent copy number alterations. The bar plot on the right side of the oncoprint indicates the corresponding proportion of alterations in each group. F The oncoprint of common somatic gene mutations. The bar plot on the right side of the oncoprint indicates the corresponding proportion of somatic mutations in each group. The distribution of G aneuploidy score, H tumor mutation burden, and I tumor neoantigen burden between RSS-high and RSS-low patients in the TCGA-PRAD dataset. The upper and lower bounds of the boxes represented 75th and 25th percentiles while the center lines in the boxes indicate the median values. The asterisks denote the statistical P value (*P < 0.05; **P < 0.01; ***P < 0.001, ****P < 0.0001)

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