Immune-related gene signature for predicting the prognosis of head and neck squamous cell carcinoma
| Autor: | Zhi-yong Liu, Si-lian Fang, Jieyu Chen, Yangyang She, Ping Yin, Feng Gao, Xiangbo Kong, Yaping Ge |
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| Rok vydání: | 2019 |
| Předmět: |
Oncology
Cancer Research medicine.medical_specialty Multivariate analysis lcsh:RC254-282 03 medical and health sciences 0302 clinical medicine Immune system Internal medicine Genetics Medicine Cytotoxic T cell lcsh:QH573-671 IRGs Survival analysis 030304 developmental biology 0303 health sciences business.industry Proportional hazards model lcsh:Cytology Head and neck squamous cell carcinoma (HNSCC) Gene signature medicine.disease lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens Prognosis Head and neck squamous-cell carcinoma 030220 oncology & carcinogenesis business Primary Research Immune related gene signature (IRGS) |
| Zdroj: | Cancer Cell International Cancer Cell International, Vol 20, Iss 1, Pp 1-10 (2020) |
| ISSN: | 1475-2867 |
| Popis: | Background Immune-related genes (IRGs) were linked to the prognosis of head and neck squamous cell carcinoma (HNSCC). This study aimed to identify the effects of an immune-related gene signature (IRGS) that can predict the of HNSCC prognosis. Methods The expression data of 770 HNSCC patients from the TCGA database and the GEO database were used. To explore a predictive model, the Cox proportional hazards model was applied. The Kaplan–Meier survival analysis, as well as univariate and multivariate analyses were performed to evaluate the independent predictive value of IRGS. To explore biological functions of IRGS, enrichment analyses and pathway annotation for differentially expressed genes (DEGs) in different immune groups were applied, as well as the immune infiltration. Results A prognostic signature comprising 27 IRGs was generated. IRGS significantly stratified HNSCC patients into high and low immune risk groups in regard to overall survival in the training cohort (HR = 3.69, 95% CI 2.73–4.98, P CI 1.21–2.81, P CI 2.58–5.09, P CI 1.12–2.67, P = 0.014). The IFN-α response, the IFN-γ response, IL-2/STAT5 signaling, and IL-6/JAK/STAT3 signaling were all negatively correlated with the immune risk (P P P Conclusion Our analysis provides a comprehensive prognosis of the immune microenvironments and outcomes for different individuals. Further studies are needed to evaluate the clinical application of this signature. |
| Databáze: | OpenAIRE |
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