We found eight genes relevant to lung cancer (PDGFRB, RET, KRAS, KEAP1, ROS1, STK11, MET and ALK), for which integrating clinical data with our TME features clearly improves the ability to predict mutations in these genes. The gene discussed is RET; the disease is lung carcinoma.