Laura et al. applied a consensus clustering algorithm that divided the network into sub-modules with different functions and demonstrated that F11R, HDGF, PRCC, ATF3, BTG2, and CD46 could be oncogenes and promising markers for pancreatic cancer [112, 113]. The gene discussed is CD46; the disease is pancreatic neoplasm.