A N6-methyladenosine-related long noncoding RNAs model for predicting prognosis in oral squamous cell carcinoma: Association with immune cell infiltration and tumor metastasis. (April 2022)

• Record Type: Journal Article
• Authors: Yang, Qian; Cheng, Chen; Zhu, Rongrong; Guo, Fangfang; Lai, Renfa; Liu, Xiangning; Li, Minmin
• Is Part Of: Oral oncology. Volume 127(2022)
• Publication Date: 2022-04
• Subjects: Oral cancer -- m6A -- lncRNA -- Prognostic model; OSCC oral squamous cell carcinoma -- lncRNA long noncoding RNA -- LASSO least absolute shrinkage and selection operator -- OS overall survival; Mouth -- Cancer -- Periodicals; Mouth -- Tumors -- Periodicals; Mouth Diseases -- Periodicals; Mouth Neoplasms -- Periodicals; Bouche -- Cancer -- Périodiques; Bouche -- Tumeurs -- Périodiques; Tumeurs -- Périodiques; Electronic journals; 616.9943105
• DOI: 10.1016/j.oraloncology.2022.105771
• Languages: English
• ISSNs: 1368-8375

Abstract

Highlights: 16 m6A-related lncRNAs were valuable in OSCC survival outcomes prognosis. 16 prognostic lncRNAs were involved in immune cell infiltration and tumor metastasis. A reliable prognostic model for OSCC was constructed based on 11 m6A-related lncRNAs. Abstract: Objectives: We aim to investigate the prognostic value of potential prognostic m6A-related lncRNAs in oral squamous cell carcinoma (OSCC) samples and construct a m6A-related lncRNAs prognostic model of OSCC survival outcomes, find new clues for OSCC prognosis improvement. Materials and methods: Data of m6A-related lncRNAs were obtained from OSCC samples in TCGA database. Prognostic m6A-related lncRNAs were selected by univariate Cox regression analysis. M6A-related lncRNAs prognostic signature was analyzed by least absolute shrinkage and selection operator (LASSO) regression. Results: 271 m6A-related lncRNAs were identified in OSCC lncRNAs, 16 of which were highly correlated with OSCC survival outcomes. Two clusters were created based on 16 prognostic valuable m6A-related lncRNAs. Characteristics of tumor immune and metastasis were identified in cluster 2 and the overall survival (OS) was worse of cluster 2 than that of cluster 1. Eleven m6A-related lncRNAs were selected from prognostic lncRNAs to establish a risk prediction signature via LASSO regression. Results showed that the OS of 1 year was lower in the high-risk group than low-risk group. The area under the curve in the training cohort was 0.704 at 1 year and 0.880 at 5 years. Multivariate Cox regression results suggested that the risk score calculated based on the m6A-related lncRNAs differential expressions was an independent predictor of OS in both two cohorts. Conclusion: We identified prognostic valuable m6A-related lncRNAs and demonstrated a reliable m6A-related lncRNA prognostic model for OSCC patients.