Thus, we show that using ‘omic data to test a network-based hypothesis not only allows one to assess the biological validity of in silico predictions, it also allows one to prune the hypothesis to identify molecular targets (e.g. SRC and EGFR) that are likely to integrate the various signaling pathways perturbed in cancer. This evidence concerns the gene EGFR and cancer.