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Fig. 7 | Journal of Translational Medicine

Fig. 7

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

Fig. 7

The association between replication stress signature and immune cell infiltrations in the Meta-cohort. A The result of CIBERSOR analysis. B The scatterplot between RSS and CD8 + T cells. C The scatterplot between RSS and regulatory T cells. D The scatterplot between RSS and M2 macrophages. The correlation coefficient R and corresponding P values are derived from Spearman’s rank correlation analysis. E The expression of immune-related genes in RSS-high and RSS-low patients. F The distribution of RSS between atezolizumab responders and non-responders. G The percentages of responders and non-responders in RSS-high and RSS-low groups. “R” represents responders while “NR” indicates non-responders in F and G. 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 represented the statistical P-value (*P < 0.05; **P < 0.01; ***P < 0.001, ****P < 0.0001)

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