Fig. 3: Splicing machinery, RNA exosome complex and NMD genes are associated to PMP and allow to discriminate between tumor and control samples. | Cancer Gene Therapy

Fig. 3: Splicing machinery, RNA exosome complex and NMD genes are associated to PMP and allow to discriminate between tumor and control samples.

From: Exploring RNA biology in pseudomyxoma peritonei uncovers splicing dysregulation as a novel, targetable molecular vulnerability

Fig. 3

A Clinical correlations of all genes measured. Relevant clinical parameters in PMP as OS, RFP, Ki67, p53 levels, PCI, CK7 presence and morbidity were associated to some splicing, RNA exosome and NMD genes expression. These correlations are represented in the graph as the p-value in blue (for splicing machinery), green (RNA exosome complex), and orange (NMD) being the symbol bigger as the p-value is smaller. The upward triangle represents direct correlations, the inverted triangle represents inverse correlations. Logrank test, Pearson or Spearman correlation and t-test or Mann–Whitney U test were used for survival and relapse analysis, Ki67, p53 and PCI, and CK7 positivity and morbidity, respectively. B Best ROC curves for each machinery. In the splicing machinery (blue), RNU4ATAC was the best gene to discriminate between PMP and control tissue; RBM7 was the best among the RNA exosome (green) and SMG8 in the NMD (orange).

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