Prognostic implications and biological roles of EMT-related lncRNAs in lung squamous cell carcinoma: an in-depth analysis utilizing a novel prognostic signature and classification system

Background Lung squamous cell carcinoma (LUSC) represents a major subtype of non-small cell lung cancer (NSCLC), a leading contributor to cancer-related mortality. Epithelial-mesenchymal transition (EMT)-associated genes have been implicated in poor survival and metastatic gene expression in LUSC. Long non-coding RNAs (lncRNAs) are known to facilitate tumor progression and metastasis via EMT regulation. However, the prognostic significance and biological functions of EMT-associated lncRNAs in LUSC remain to be elucidated. Methods In this study, we aimed to develop an EMT-related lncRNA prognostic signature (EMT-LPS) utilizing RNA transcription data from LUSC patients in The Cancer Genome Atlas (TCGA) database, along with corresponding clinical characteristics. Kaplan-Meier analysis, receiver operating characteristic (ROC) curves, and Cox regression were employed to validate and assess the model. Furthermore, we confirmed the independent prognostic value of key genes in EMT-LPS using Gene Expression Profiling Interactive Analysis (GEPIA). Additionally, we proposed a novel LUSC classification system based on EMT-related lncRNA expression patterns, evaluating the prognostic profile, tumor microenvironment, and immunotherapy sensitivity of each subtype. Results A prognostic signature comprising twelve genes was constructed, and patients were stratified into high and low-risk groups according to their risk scores. Cox regression analysis revealed that the risk score served as an independent prognostic factor. A nomogram was generated to predict LUSC patient survival rates. Distinct subtypes exhibited varying tumor purity, immunogenicity, and immunotherapy drug sensitivity. Conclusions Our findings underscore the relevance of EMT-related lncRNAs in LUSC and their potential utility in guiding immunotherapy strategies. The EMT-LPS and novel LUSC typing scheme provide a new perspective for understanding the biological functions and prognostic role of EMT-related lncRNAs in LUSC. ### Competing Interest Statement The authors have declared no competing interest.