The collective set of features, or simply nodes of a network, were quantified in three transcriptomic datasets obtained from bulk tissue samples from patients with breast cancer and melanoma and used to generate a casual network describing how expression of a secreted gene product by malignant cells, such as from CCN4, more broadly alters the heterocellular network within a tissue using Bayesian network inference. The gene discussed is CCN4; the disease is breast carcinoma.