Figure 5 from The Germline and Somatic Origins of...

Figure 5 from The Germline and Somatic Origins of Prostate Cancer Heterogeneity

Abstract

Mutational hallmarks of prostate cancer grade. A, A linear model was fit to relate each mutational density measure to ISUP GG using tumor and normal sequencing coverage as covariates. Dot size and color represents the effect size for each ISUP GG as a Z-score relative to ISUP GG 1. The barplot to the right shows the Q value from a nonparametric Kruskal–Wallis test. B, Distribution of the number of driver mutations per tumor in each ISUP GG; the median per GG is shown by a black dot. P value is from a one-way ANOVA. C, Genes whose mutation frequency is univariately associated with ISUP GG, ordered by the percentage of samples with mutations in ISUP GG 5 tumors. FDR-adjusted P values from the Pearson χ2 test are shown. D, Two-sided Spearman correlation between clinical covariates and measures of genomic instability with dot size showing the magnitude of correlation and background color representing the statistical significance. E, Consensus clustering identified four groups of genes with similar patterns of change across age categories. For each gene cluster, the median mutation frequency for each age category is shown, along with the number of genes in each cluster. F, Venn diagram of the driver genes that were statistically associated with clinical features. G, Cox proportional hazard models were fit for the driver regions that were associated with clinical features. Significant regions after FDR adjustment are shown, as well as the driver type and clinical feature the region was associated with. H,MYC clonal and subclonal gains were associated with biochemical relapse. For each subfigure, CNAs in patients with subclonal PGA >80% were excluded. INV, inversions; WT, wild-type.

Authors

Yamaguchi TN; Houlahan KE; Zhu H; Kurganovs N; Livingstone J; Fox NS; Yuan J; Sietsma Penington J; Jung C-H; Schwarz T

Publication Date

May 2, 2025

DOI

10.1158/2159-8290.28918321

Associated Experts

Katie Houlahan

Assistant Professor, Faculty of Health Sciences

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