Newton R, et al. - From the database, genes are investigated which are unusual in that their copy number displays consistent heterogeneous disruption in a high proportion of the cancer datasets. Considering their predicted regulatory relationships and enriched biological pathways, researchers investigated these genes for their potential relevance to the pathology of the cancer samples. Using a network-based method, they sought for enriched pathways from the genes’ inferred targets. Both known and new regulator-target interactions and pathway memberships were predicted in the analysis. Examining examples in detail, in particular, the gene POGZ, which is disrupted in many of the cancer datasets and has an unusually large number of predicted targets, they noted that genes exhibiting consistent heterogeneous copy number disruption are closely involved in known cancer pathways. Results from the analysis presented in the database METAMATCHED, and included here as an R archive file constitute a large number of predicted regulatory relationships and pathway memberships that are anticipated as useful in informing such experiments.