Construction of a risk prediction model as an Independent Disease-Free Prognostic Indicator in Seminoma by Bioinformatic Analysis

N6-Methyladenosine (m6A) are significant in directing different genes’ expression and their phenotype in different types of cancers. On the other hand, the function of m6A in seminomatous germ cell tumors (SGCT) is still unexplored. Our research attempts to demonstrate the disease-free prognosis value of m6A RNA methylation regulators in SGCT. The gene expression and accompanying clinical data of 65 SGCT tissues and 85 NSGCT tissues retrieved from the TCGA database were analyzed. The landscape of m6A RNA methylation regulators in SGCT was displayed. All SGCT patients were grouped into two clusters by consensus clustering of m6A RNA methylation regulators, and the clusters were connected to the disease-free prognosis and clinicopathological characteristics of SGCT(p = 0.015). Furthermore, the risk score(1.52YTHDC1 + 2.22HNRNPC-2.735WTAP) model was obtained and constructed by the univariate Cox regression analysis, and the least absolute shrinkage and selection operator (LASSO) Cox regression. The risk score was interrelated with stage status and laterality status of SGCT. Under the same conditions, the right side may have a higher risk score than the left one. More significantly, the risk score can serve as an self-supporting disease-free prognostic marker for SGCT patients. Therefore, m6A RNA methylation regulators also played an important role of SGCT in its disease-free survival prognosis.