Consensus clustering of lung cancer tissue samples based on the mRNA expressions of 19 m6A regulators according to the optimized consensus matrix k = 2. a The optimal cluster number was two using the ConsensusClusterPlus package. b The heatmap of clusters and lung cancer-related clinical characteristics, including primary disease, age, gender, tobacco smoking history, pathologic T (T represented tumor size, including T1, T2, T3, T4, and TX), pathologic M (M represented tumor metastasis, including M0, M1, and MX), pathologic N (N represented tumor lymph node metastasis, including N0, N1, N2, and NX), pathologic stage, cancer status, tumor residual, and status. c Overall survival analysis between cluster 1 and cluster 2. *p < 0.05; **p < 0.01; ***p < 0.001