Bioinformatics Analysis Of M6A-related LncRNA In Head And Neck Squamous Cell Carcinoma

Background:Head and neck squamous cell carcinoma(HNSCC)is a set of originated in the oral cavity,pharynx and throat mouth and swallow the heterogeneity of the squamous epithelial cells of the tumor,which accounts for about 90% of all head and neck(HN)cancer,has the very high mortality,its pathogenesis is not clear,however,is generally believed that the occurrence of head and neck squamous cell carcinomas with smoking,HPV infection,and epigenetic related genes.This study mainly analyzed gene epigenetics.Related studies have shown that M6 a methylation plays a key role in cancer through a variety of mechanisms,and lncRNAs,as regulatory factors,affect gene expression and play a crucial role in various biological functions and disease processes,including cancer.This study will investigate the effect of M6a-related lncRNAs on the prognosis and immune infiltration of head and neck squamous cell carcinoma.Objective:This study aims to explore the prognostic value of m6A-related lncRNAs for head and neck squamous cell carcinoma and its influence on tumor immune infiltration through bioinformatics analysis of the gene data and corresponding clinical information of head and neck squamous cell carcinoma in the existing gene database,in order to provide a new therapeutic target for the clinical treatment of head and neck squamous cell carcinoma.Methods:We download the cancer genome atlas(TCGA)from GDC website data set of head and neck squamous cell carcinomas(HNSCC)genetic data,correlation analysis is used to discuss the lncRNAs m6 A related,and then the related lncRNAs single and multi-factors Cox regression analysis to screen the prognosis of patients with HNSCC related lncRNAs,and according to the risk score to predict prognosis,we also analyzed the relationship between immune cell infiltration.Results : In the TCGA data set,33 M6a-associated lncRNAs were identified that were significantly associated with OS in patients with head and neck squamous cell carcinoma.After analysis,the expression levels of these 33 lncRNAs were significantly different in head and neck squamous cell carcinoma tissues and adjacent normal tissues.Cluster subtypes defined by the expression of M6a-related lncRNAs were closely related to the heterogeneity of patients with head and neck squamous cell carcinoma.In addition,different cluster subtypes showed different levels of immune cell infiltration.Through gene enrichment analysis,three related signaling pathways were identified.They are HOMOLOGOUS?RECOMBINATION,LYSINE?DEGRADATION and ASTE?TRANSDUCTION.PD-L1 expression was upregulated in head and neck squamous cell carcinoma tissues compared with adjacent tissues.Four M6a-related lncRNAs were identified by LASSO regression analysis,namely DTX2P1-UPK3BP1-PMS2P11,AC024267.4,AC106820.5,AC010226.1,The 4 M6a-related lncRNAs calculated as risk signals can relatively accurately predict the prognosis of patients with HNSCC,and are independent prognostic factors of HNSCC patients.Further analysis showed that the calculated risk scores were also related to the immune microenvironment of HNSCC.Conclusions:Bioinformatics analysis suggested that M6a-related lncRNAs were protective factors in the development and progression of HNSCC patients,which could significantly improve the prognosis of patients.Risk score based on M6a-related lncRNAs could be used as an independent prognostic factor to predict the prognosis of clinical patients,and had a certain regulatory effect on immune cell infiltration.M6a-related lncRNAs may be involved in regulating the HNSCC immune microenvironment,and cooperate with the HOMOLOGOUS?RECOMBINATION signaling pathway to achieve the regulatory process.