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ABSTRACT: Background
Head and neck squamous cell carcinoma (HNSC) is the 7th most common type of cancer in the world. Through the advantages of The Cancer Genome Atlas (TCGA) large-scale sequencing-based genome analysis technology, we can explore the potential molecular mechanisms that can improve the prognosis of HNSC patients.Methods
The HNSC transcriptome and clinical data were downloaded from TCGA database. A univariate survival analysis and differential expression analysis were conducted to obtain the intersection gene set. A protein-protein interaction (PPI) analysis, modular analysis, and Gene Ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analysis were then conducted to identify the hub genes. Clinical correlation analysis, univariate and m
SUBMITTER: Lin P
PROVIDER: S-EPMC9511182 | biostudies-literature | 2022 Sep
REPOSITORIES: biostudies-literature