Skip to main content
. Author manuscript; available in PMC: 2016 Oct 12.
Published in final edited form as: Cancer Cell. 2015 Oct 1;28(4):515–528. doi: 10.1016/j.ccell.2015.08.013

Figure 2. Comparison of the overall A-to-I RNA editing patterns between paired tumor and normal samples.

Figure 2

(A) Numbers of over-editing sites and under-editing sites across different cancer types. (B) The correlation between the “net” proportion of over-editing sites (defined as the percentage of over-editing sites minus the percentage of under-editing sites) and the relative mRNA expression of ADAR1 (left), ADAR2 (middle), and ADAR3 (right) (fold change relative to normal tissues). To robustly detect a meaningful relation, the rank-based Spearman correlations were used and plotted. (C) Distribution of editing-level difference in BRCA relative to matched normal breast tissue samples (left panel) and the mRNA expression level of ADAR1 (right panel) (red in tumor and blue in normal). (D) Distribution of editing level difference in KICH samples relative to matched normal kidney samples. (A) and (B) over-editing sites are in red; under-editing sites are in blue. (C) and (D) The paired Wilcoxon test was used to assess the difference between paired tumor and normal samples. The boxes show the median±1 quartile, with whiskers extending to the most extreme data point within 1.5 interquartile range from the box boundaries. See also Table S1.