Long non-coding RNAs (lncRNAs) play a pivotal role in tumor prognostic models. This study targets cuproptosis-related lncRNAs in laryngeal squamous cell carcinoma (LSCC) using RNA-seq data from The Cancer Genome Atlas (TCGA)-LSCC. Differentially expressed genes were identified, and Pearson correlation analysis pinpointed cuproptosis-related lncRNAs. Combining clinical data, a prognostic risk model was constructed using LASSO Cox regression and Cox proportional hazards analyses. Nine lncRNAs (LINCO1473, SNHG12, AC007938.3, AC040970.1, AC023669.1, AL158166.2, GIHCG, AC007240.3, and AC011370.1) were identified, with GIHCG showing significant correlation with LSCC prognosis. GIHCG's competing endogenous RNAs (ceRNA) and co-expression networks (CEN) were established, revealing sensitivity to drugs like BMS-509744, YM155, and KU-55933. Silencing of GIHCG inhibited migration, invasion, EMT, and other biological processes in LSCC cells, suggesting GIHCG as a potential therapeutic target. Moreover, METTL16-mediated m6A methylation regulates GIHCG expression. In conclusion, this study successfully established a prognostic model comprising nine cuproptosis-related lncRNAs, accurately predicting LSCC prognosis, and highlighted the crucial role of GIHCG as a novel nucleic acid biomarker in regulating LSCC progression.