Then, WGCNA, COX univariate regression analysis, random forest algorithm and multiple combinations were used to construct this nine-gene signature (including RNF144A, STC1, P4HA1, FMNL3, ANO1, BASP1, MME, PLEKHG2 and DKK1) with prognostic value for HNSCC patients. This evidence concerns the gene PLEKHG2 and head and neck squamous cell carcinoma.