Identification of immune-related genes contributing to head and neck squamous cell carcinoma development using weighted gene co-expression network analysis.

ABSTRACT:

Background

This study aimed to identify genes related to the degree of immune cell infiltration in head and neck squamous cell carcinoma (HNSCC), explore their new biological functions, and evaluate their diagnostic and prognostic value in HNSCC.

Methods

Transcriptomic data from The Cancer Genome Atlas (TCGA) HNSCC dataset was used to screen differentially expressed genes between tumors and normal tissues, followed by weighted correlation network analysis (WGCNA) to identify immune-related modules. Differential gene expression, immune cell infiltration, and survival analyses were performed to screen key genes. The expression of these key genes was validated in Oncomine and gene expression omnibus (GEO) datasets and by immunohistochemistry (IHC).

Results

1869 and 1578

SUBMITTER: Guo Q 

PROVIDER: S-EPMC10172170 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature