Integrated genomic analysis of lung squamous cell carcinoma subtypes characterized by immunogenic cell death-relevant gene signature

Abstract

Abstract Purpose A kind of regulatory cell death known as immunogenic cell death (ICD) can trigger anti-tumor immunity and aid in the adjustment of the tumor microenvironment (TME). Due to the very diverse and invasive nature of lung squamous cell carcinoma (LUSC), the identification of the immunogenic cell death related biomarkers for the distinction and prognosis of LUSC subtypes is essential for its therapy. Patients and methods 504 LUSC samples' rna sequencing data was reviewed in our investigation. Unsupervised clustering methodology was used to examine the distinctive pattern of gene expression in the tumor microenvironment for genes associated to immunogenic cell death. A number of ICD-related subtypes and clinical traits are connected to the effectiveness of immunotherapy through these expression patterns. The presence of the immunological status and prognostic characteristics is then confirmed using the test data set. Results Through the consistent clustering of ICD-related gene expression profiles, subtypes with significant differences in immune score, immune cell infiltration level and prognosis survival were found in the two groups. At the same time, the prognosis prediction model of patients was constructed according to the differentially expressed immunogenic cell death-related genes, which can provide guidance for clinical treatment. Conclusion This research developed a prognostic model of LUSC with ICD-associated genes, which will help us better understand ICD and determine how to manage LUSC patients.