Background: Immunotherapy has been demonstrated favorable in head and neck squamous cell carcinoma (HNSCC). Studies indicated that immune-related gene prognostic index (IRGPI) was a robust signature, and N6-methyladenosine (m6A) methylation had a significant impact on the tumor immune microenvironment (TIME) and immunotherapy of head and neck squamous cell carcinoma. Thus, combining indicated that immune-related gene prognostic index with m6A status should offer a better predictive power for immune responses.Methods: Head and neck squamous cell carcinoma samples from the cancer genome atlas (TCGA, n = 498) and gene expression omnibus database (GSE65858, n = 270) were used in this study. Cox regression analysis was used to construct the indicated that immune-related gene prognostic index through immune-related hub genes which were identified by weighted gene co-expression network analysis (WGCNA). The m6A risk score was constructed by least absolute shrinkage and selection operator (LASSO) regression analysis. Principal component analysis was used to construct a composite score, and systematically correlate subgroups according to tumor immune microenvironment cell-infiltrating characteristics.Results: A composite score was determined based on indicated that immune-related gene prognostic index and m6A risk score. Head and neck squamous cell carcinoma patients in the cancer genome atlas were divided into four subgroups: A (IRGPI-High&m6A-risk-High, n = 127), B (IRGPI-High&m6A-risk-Low, n = 99), C (IRGPI-Low&m6A-risk-High, n = 99), and D (IRGPI-Low&m6A-risk-Low, n = 128), and overall survival (OS) was significantly different between subgroups (p < 0.001). The characteristics of tumor immune microenvironment cell infiltration in the four subgroups were significantly different in subgroups (p < 0.05). The receiver operating characteristic (ROC) curves show the predictive value of composite score for overall survival was superior to other scores.Conclusion: The composite score is a promising prognostic signature which might distinguish immune and molecular characteristics, predict prognosis, and guide more effective immunotherapeutic strategies for head and neck squamous cell carcinoma.
Background: Immunotherapy has been demonstrated favorable in head and neck squamous cell carcinoma (HNSCC). Studies indicated that immune-related gene prognostic index (IRGPI) was a robust signature, and N6-methyladenosine (m6A) methylation had a significant impact on the tumor immune microenvironment (TIME) and immunotherapy of HNSCC. Thus, combining IRGPI with m6A status should offer a better predictive power for immune responses.Methods: HNSCC samples from The Cancer Genome Atlas (TCGA, n=498) and Gene Expression Omnibus database (GSE65858, n = 270) were used in this study. Cox regression analysis was used to construct the IRGPI through immune-related hub genes which were identified by weighted gene co-expression network analysis (WGCNA). The m6A risk score was constructed by least absolute shrinkage and selection operator regression analysis. Principal component analysis was used to construct a composite score, and systematically correlate subgroups according to TIME cell-infiltrating characteristics.Results: A composite score was determined based on IRGPI and m6A risk score. HNSCC patients in the TCGA were divided into four subgroups:A (IRGPI-High&m6A-risk-High, n=127), B (IRGPI-High&m6A-risk-Low, n=99), C (IRGPI-Low&m6A-risk-High, n=99) and D (IRGPI-Low&m6A-risk-Low, n=128), and overall survival (OS) was significantly different between subgroups (P < 0.001). The characteristics of TIME cell infiltration in the four subgroups were significantly different in subgroups (P < 0.05). The ROC curves show the predictive value of composite score for OS was superior to any other scores.Conclusions: The composite score is a promising prognostic signature which might distinguish immune and molecular characteristics, predict prognosis, and guide more effective immunotherapeutic strategies for HNSCC.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.