Extended Data Fig. 2: Integrated multiomic analyses of Chinese PCa. | Nature Cancer

Extended Data Fig. 2: Integrated multiomic analyses of Chinese PCa.

From: Integrative proteogenomic profiling of high-risk prostate cancer samples from Chinese patients indicates metabolic vulnerabilities and diagnostic biomarkers

Extended Data Fig. 2

a. Genomic amplification and deletion peaks of significantly recurrent somatic CNAs, n = 125 tumor samples. b. Kaplan-Meier curves of recurrence-free survival for patients with or without 13q31.1 amplification (log-rank test, n numbers shown represent patients). c. Cis (diagonal lines) and trans effects of CNAs on phosphoproteins (spearman correlation, n = 120 tumor samples). Genes are ordered by chromosomal location. d. Number of all alternative splicing (AS) events detected in our PCa dataset. e. Kaplan-Meier curves of recurrence-free survival for patients with high or low (median cut point) novel MXE splicing events of SYTL2 (log-rank test). f. Kaplan-Meier curves of recurrence-free survival for patients with high or low (median cut point) annotated/novel SE splicing events of CTNND1 (log-rank test). In panels (e-f), n numbers shown represent patient numbers. g. Left panel: gene-wise mRNA-protein two-sided Spearman correlations in NATs (n = 125). Right panel: gene-wise mRNA-protein two-sided Spearman correlations in tumor samples (n = 125). h. Pathways enriched for genes positively correlated at transcriptome and proteome level (in all 125 paired tumor and NAT samples, FDR < 0.05).

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