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. 2022 Apr 28;9:830673. doi: 10.3389/fmed.2022.830673

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Copyright © 2022 Wang, Song, Liu, Zhang, Zhang, Wang, Fu, Wang, Yao, Xu, Xia, Lou, Liu, Lin, Wang, Zhao, Zhang, Cheng, Guo, Guo, Xue, Wang, Han, Zhao, Li, Zhang, Zhao, Ma, Yao, Li, Yang, Fang, Chen, Li, Shen, Sun and Kong.

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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Endometrial Cancer Prognostic-Related Metabolic (ECPRM) Score possessed the remarkable ability in predicting PFS in early-stage EEC. (A) The Kaplan-Meier survival analysis revealed the strong association between high ECPRM Score and shorter PFS in the trainset. (B) A forest plot of the multivariate Cox regression analysis showed that the high ECPRM Score was significantly associated with shorter PFS in the trainset. (C) A nomogram was built by integrating pathologic grade, age group, family history, LVSI, and score group, indicating the robust predicting ability of a high ECPRM Score. (D) A calibration plot for the nomogram was conducted based on the trainset, and the favorable agreements were shown between the actual and estimated probability of PFS in 5 and 7 years.