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Ewing’s sarcoma has a poor prognosis and high metastasis rate; thus, it is critical to explore prognostic biomarkers of m6A-related genes. Two datasets were downloaded from the Gene Expression Omnibus database, m6A-related genes were extracted, and prognostic models were constructed using the least absolute shrinkage and selection operator and multivariate COX regression analyses. Immune cell composition and drug sensitivity analyses were performed, and our analysis was validated using laboratory methods of immunohistochemical specific staining and qRT-PCR. Ewing’s sarcoma prognostic model demonstrated that the survival rate of cases in the high-risk group was much lower than that of the low-risk group. Naïve B cells, macrophages M0, macrophages M1, and resting mast cells are closely associated with Ewing’s sarcoma. METTL14 and YTHDF2 are strongly associated with multiple drug sensitivity. Immunohistochemical specific staining revealed higher expression of both METTL14 and YTHDF2 in Ewing’s sarcoma than in the paraneoplastic tissues. The results of qRT-PCR showed that METTL14 expression was significantly higher in both ES cell lines than in the control cell line. The prognostic model constructed using m6A-related genes METTL14 and TYHDF2, can be a potential prognostic biomarker for Ewing’s sarcoma, with the survival rate of cases in the high-risk group being much lower than that of the low-risk group.

Novel prognostic biomarkers, METTL14 and YTHDF2, associated with RNA methylation in Ewing’s sarcoma