Figure 1 | Scientific Reports

Figure 1

From: Association between copy number alterations estimated using low-pass whole genome sequencing of formalin-fixed paraffin-embedded prostate tumor tissue and cancer-specific clinical parameters

Figure 1

(A) Genome-wide copy number plot for a representative patient with a sequencing coverage of 0.1 × showing known PCa-specific genome alterations. (B) Boxplot showing distribution of CNA burden in this early stage PCa cohort. (C) Boxplots showing association between CNA burden and Gleason score. P-value calculated from Kruskal–Wallis test. (D) Boxplots showing association between CNA burden and pathologic T-stage. P-value calculated from Kruskal–Wallis test. (E) Boxplots showing association between CNA burden and surgical margin status. P-value calculated from Wilcoxon test. (F) Forest plot showing multivariate analysis of association between CNA burden and BCR, controlling for age, PSA, Gleason score, and pathologic T-stage. P-value calculated from Wald test. (G) Kaplan–Meier plot of association between dichotomized CNA burden and BCR-free survival. P-value calculated from log-rank test. Chr chromosome, PGA percent genome altered, Inter intermediate, HR hazard ratio.

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