Fig. 1: CAA frequencies provide insights into tumour evolution. | Nature Communications

Fig. 1: CAA frequencies provide insights into tumour evolution.

From: Chromosome arm aneuploidies shape tumour evolution and drug response

Fig. 1

a Box plot comparing CAA burden per tumour for haematological and solid cancers. Shown are mean (+), median with 95% confidence intervals (notches), interquartile ranges and all data points. P value: Mann–Whitney U test. b Box plot as in a showing CAA burden per cancer type. Abbreviations of each cancer type are shown in Supplementary Data 1. c Box plot as in a showing the number of chromosome arms lost or gained in haematological and solid cancers. P values: Mann–Whitney U test (unpaired), Wilcoxon signed-rank test (paired). d Contingency tables showing expected (E) and observed (O) numbers (n) and percentages (%) of CAA-positive haematological and solid tumours with indicated arm-level gain:loss ratios. Bar graphs show the respective expected and observed fractions. P values: Chi-square tests. e Shooting star plots showing fractions of tumours with G > L as a function of the total number of CAAs per sample. Odd and even numbers are shown separately. Dot sizes are proportional to the fractions of haematological (orange) and solid tumours (blue). P values: binomial tests. f Tumour evolution model showing that both haematological and solid cancers initially gain few chromosome arms, whereas only solid cancers subsequently preferentially lose chromosome arms. g Distributions of CAA-positive solid tumours with indicated intra-tumour chromosome arm gain (G):loss (L) ratios according to clinical stage. Median CAA burden and sample sizes are shown for each stage. P values: p = 7.1 × 10−5, p = 1.4 × 10−4, p = 0.0013, respectively, Chi-square tests relative to stage I. P value abbreviations are defined in the Methods section. Source data are provided as a Source Data file.

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