Fig. 4

(A) MitoScore is significantly higher in samples with whole-genome doubling (p < 0.0001); (B) illustrates the correlation between MitoScore and aneuploidy scores, which are measured by the number of altered chromosome arms (either gained or lost); (C) presents the relationship between aneuploidy levels across different chromosome arms and MitoScore; (D): MitoScore positively correlates with mutation burden; (E): MitoScore positively correlates with the number of CNAs; (F): MitoScore positively correlates with the number of tumor clones; (G–J): display the correlations between MitoScore and mutation burden, somatic copy number alterations (CNA), and the number of tumor clones, independent of cell proliferation. The results suggest that the positive correlations between MitoScore and these genomic instability markers are independent of cell proliferation.