Abstract | OBJECTIVES: METHODS: Based on the transcriptome data of HNSCC patients (n = 546) from The Cancer Genome Atlas database, 37 neural-related hub genes were identified by weighted gene co-expression network analysis. Four genes (ITGA5, PYGM, GNG7 and ATP2A3) were identified to construct NRGRS using Lasso-Cox regression method based on the derivation cohort and validated in the Gene Expression Omnibus cohort (n = 109). The survival analysis was performed to validate the prognostic value of NRGRS and immune characteristics in NRGRS-defined subgroups were analyzed. RESULTS: NRGRS-high patients had a worse overall survival than NRGRS-low patients. Tumors with high NRGRS were more likely to have high infiltration of naive CD4+ T cells, M0, M2 macrophages and resting mast cells, which illustrated suppressive immunity and less benefit from immunotherapy therapy. CONCLUSION: NRGRS strongly correlates with survival and is a promising biomarker to predict immunotherapy benefits for head and neck cancer patients. This study provides evidence for the potential correlation between neural-related transcriptome alteration and immune activity.
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Authors | Zhuo-Ying Tao, Wei-Fa Yang, Wang-Yong Zhu, Lei-Lei Wang, Kar Yan Li, Xin-Yuan Guan, Yu-Xiong Su |
Journal | Oral diseases
(Oral Dis)
Vol. 30
Issue 2
Pg. 477-491
(Mar 2024)
ISSN: 1601-0825 [Electronic] Denmark |
PMID | 36346196
(Publication Type: Journal Article)
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Copyright | © 2022 The Authors. Oral Diseases published by Wiley Periodicals LLC. |
Topics |
- Humans
- Squamous Cell Carcinoma of Head and Neck
(genetics)
- Gene Expression Profiling
- Genetic Risk Score
- Macrophages
- Head and Neck Neoplasms
(genetics)
- Prognosis
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