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. 2017 Mar 29;19:44. doi: 10.1186/s13058-017-0812-y

Fig. 2.

Fig. 2

Cluster-of-clusters analysis (COCA) identifies six major groups based on seven molecular input levels. Consensus clustering was used to cluster 419 primary breast cancers in the Oslo2 study. The six resulting COCA clusters are numbered and the corresponding PAM50 subtype indicated (top). Heatmap representation of the subtypes/clusters independently defined: PAM50 mRNA subtypes, reverse-phase protein array (RPPA) expression subtypes, complex arm aberration index (CAAI) subtypes based on copy numbers, miRNA clusters, metabolic clusters, pathway recognition algorithm using data integration on genomic models (PARADIGM) clusters and integrated clusters (IntClust). Colored bar indicates membership of a subtype/cluster type, white indicates no membership to a given subtype and gray represents data not available (NA). The rows in the heatmap are ordered according to clustering. Clinical annotation of the tumors is shown (bottom). HER2 human epidermal growth factor receptor 2, Lum luminal, Mut mutant, WT wild-type