Novel prognostic model established for patients with head and neck squamous cell carcinoma based on pyroptosis-related genes.

ABSTRACT: We aimed at establishing a risk - score model using pyroptosis-related genes to predict the prognosis of patients with head and neck squamous cell carcinoma (HNSCC). A total of 33 pyroptosis-related genes were selected. We then evaluated the data of 502 HNSCC patients and 44 normal patients from TCGA database. Gene expression was then profiled to detect differentially expressed genes (DEGs). Using the univariate, the least absolute shrinkage and selection operator (LASSO) Cox regression analyses, we generated a risk - score model. Tissue samples from neoplastic and normal sites of 44 HNSCC patients were collected. qRT-PCR were employed to analyze the mRNA level of the samples. Kaplan-Meier method was used to evaluate the overall survival rate (OS). Enrichment analysis was performed to eluc

SUBMITTER: Shen Y 

PROVIDER: S-EPMC8487076 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature