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. This evidence concerns the gene KEAP1 and lung cancer.