1. Contributions and prognostic values of m6A RNA methylation regulators in non‐small‐cell lung cancer.
- Author
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Liu, Yang, Guo, Xiuchen, Zhao, Meng, Ao, Haijiao, Leng, Xue, Liu, Mingdong, Wu, Caixia, Ma, Jianqun, and Zhu, Jinhong
- Subjects
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NON-small-cell lung carcinoma , *RNA methylation , *RNA modification & restriction , *METHYLATION , *DNA methylation , *SQUAMOUS cell carcinoma , *RNA splicing - Abstract
N6‐methyladenosine (m6A) RNA modification can alter gene expression and function by regulating RNA splicing, stability, translocation, and translation. Deregulation of m6A has been involved in various types of cancer. However, its implications in non‐small‐cell lung cancer (NSCLC) are mostly unknown. This posttranscriptional modification is dynamically and reversibly mediated by different regulators, including methyltransferase, demethylases, and m6A binding proteins. In this study, we comprehensively investigated the contributions and prognostic values of 13 common m6A RNA modification regulators using The Cancer Genome Atlas database. We found that the expression levels of most of the studied genes were significantly altered in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Using consensus clustering, the gene‐expression profiles of 13 m6A regulators could classify patients with LUAD into two subgroups with significantly distinct clinical outcomes, but not the LUSC cohort or the combination of the two cohorts. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and gene set enrichment analysis were applied to explore differential signaling pathways and cellular processes between the two LUAD subgroups. Moreover, we found that this gene‐expression signature could better predict prognosis in the late‐stage (III + IV) than in the early‐stage (I + II) LUAD. Finally, we developed an optimal prognostic gene signature by using the least absolute shrinkage and selection operator Cox regression algorithm and compute risk score. In conclusion, our study unveiled the implication of m6A RNA modification regulators in NSCLC and identified the m6A gene expression classifiers for predicting the prognosis of NSCLC. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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