Abstract Lung Squamous Cell Carcinoma (LUSC) is an aggressive malignancy with limited
therapeutic options. The response to immune therapy is a determining factor for the
prognosis of LUSC patients. This study aimed to develop a reliable immune-related
prognostic signature in LUSC. We extracted gene expression and clinical data of LUSC from
The Cancer Genome Atlas (TCGA). A total of 502 patients enrolled and were divided into
respond and non-responder groups by the TIDE algorithm. The CIBERSORT algorithm and …

Background: The immune system plays an important role in the development of lung
squamous cell carcinoma (LUSC). Therefore, immune-related genes (IRGs) expression may
be an important predictor of LUSC prognosis. However, a prognostic model based on IRGs
that can systematically assess the prognosis of LUSC patients is still lacking. This study
aimed to construct a LUSC immune-related prognostic model by using IRGs. Methods: Gene
expression data about LUSC were obtained from The Cancer Genome Atlas (TCGA) …