ObjectivesThis study was aimed to establish a neural-related gene risk score (NRGRS) for the prediction of head and neck squamous cell carcinoma (HNSCC) prognosis, and explore its prognostic value on the bene t of immune checkpoint inhibitor (ICI) therapy.
Materials and MethodsBased on the transcriptome data of HNSCC patients (n = 546) from The Cancer Genome Atlas (TCGA), 37 neural-related hub genes were identi ed by weighted gene co-expression network analysis. Four genes (ITGA5, PYGM, GNG7 and ATP2A3) were identi ed to construct NRGRS using Lasso-Cox regression method based on the TCGA cohort and validated in the Gene Expression Omnibus (GEO) cohort (n = 109).The survival analysis and Cox regression were performed to validate the prognostic value of NRGRS. Afterward, the molecular and immune characteristics in NRGRS-de ned subgroups were analyzed and the prediction value of NRGRS on the bene t of ICI therapy was compared with other biomarkers.
Results
NRGRS-high patients had a worse overall survival than NRGRS-low patients. A low NRGRS was correlatedwith DNA repair-related and immune response-related pathways, while a high NRGRS was associated with Wnt-beta-catenin signaling, neurotrophic signaling and metabolism-related pathways. Tumors with high NRGRS were more likely to have high TP53, CDKN2A, FAT1 and NOTCH1 mutation rates and have high in ltration of naive CD4 + T cells, resting NK cells, M0, M2 macrophages and resting mast cells, which illustrated suppressive immunity and less bene t from ICI therapy.
ConclusionIn conclusion, NRGRS is a promising prognostic biomarker to predict the survival, the molecular and immune characteristics, and also immunotherapy bene t for HNSCC patients.
Clinical RelevanceThis study provides evidence for the potential correlation between neural-related transcriptome alteration and immune activity in HNSCC.