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. 2022 Mar 18;10:807786. doi: 10.3389/fcell.2022.807786

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Copyright © 2022 Xu, Liu, Chen, Wang, Liu and Yi.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Construction and evaluation of prognostic prediction model with three RNA m⁵C regulators in TCGA cohort and GEO cohort (GSE19829). (A,B) LASSO Cox regression analysis results showing the identification of three prognostic risk signature genes, and the risk score model is (ALYREF*-0.00349425170618238) + (NOP2*0.0200758391547147) + (TET2*0.145822477408262). (C) The distribution of prognostic signature-based risk score in internal training set. (D–F) The Kaplan–Meier overall survival analysis for patients with high score and low score in internal training set, internal testing set, and external testing set. (G) The m⁵C risk score in Cox multivariate analysis for OS of ovarian cancer patients.