Extended Data Figure 8: Distinguishing features of cervical cancer integrated molecular subtypes.

a, Integrative clustering of 178 core-set samples from patients with cervical cancer using mRNA, methylation, miRNA and copy number data identified three iCluster groups: keratin-low, keratin-high and adenocarcinoma-rich (adenocarcinoma). Relative frequencies of various cervical cancer classifications defined by histology, HPV clade, CNVs, methylation, miRNA and RPPA are plotted. The key for each feature is shown at the bottom. For each category, the statistically significantly enriched features in each cluster are highlighted with asterisks and include the name of the enriched feature. Each category was significantly associated with the clusters (χ² test; P < 0.05). The width of each plot is scaled according to the number of samples within each cluster. b, The frequencies of somatic alterations and additional novel features that distinguish the clusters, specifically those that do not occur in all three clusters, are plotted. The ‘somatic mutations’ panel shows the presence or absence of mutations for 7 of the identified SMGs. The ‘copy number alterations’ panel shows select copy number alterations (high-level amplifications and focal deletions) that are differentially present across the iCluster groups. The ‘additional features’ panel highlights miscellaneous features that also distinguish the clusters, including the presence of miR-200a/b alterations, UCEC-like samples and BCAR4-fusion events. The key for each feature is shown on the right.