AUTHOR=Wang Zizhuo , Song Kun , Liu Jingbo , Zhang Qing , Zhang Chuyao , Wang Beibei , Fu Yu , Wang Yu , Yao Shuzhong , Xu Congjian , Xia Min , Lou Ge , Liu Jihong , Lin Bei , Wang Jianliu , Zhao Weidong , Zhang Jieqing , Cheng Wenjun , Guo Hongyan , Guo Ruixia , Xue Fengxia , Wang Xipeng , Han Lili , Zhao Xia , Li Xiaomao , Zhang Ping , Zhao Jianguo , Ma Jiezhi , Yao Qin , Li Wenting , Yang Xiaohang , Fang Yong , Chen Gang , Li Kezhen , Shen Yuanming , Sun Chaoyang , Kong Beihua TITLE=Prognostic-Related Metabolic Score for Survival Prediction in Early-Stage Endometrioid Endometrial Cancer: A Multi-Center and Retrospective Study JOURNAL=Frontiers in Medicine VOLUME=9 YEAR=2022 URL=https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2022.830673 DOI=10.3389/fmed.2022.830673 ISSN=2296-858X ABSTRACT=Objective

Patients with endometrial cancer (EC) combined with metabolic syndrome (MetS) have a worse prognosis than those without MetS. This study aimed to investigate whether partial metabolic disorder significantly influenced early-stage endometrioid EC (EEC) survival and searched for a more efficient method to evaluate metabolic status.

Methods

This is a nationwide, multicenter cohort study that included 998 patients with primary early-stage EEC from 2001 to 2018. Patients were divided into different metabolic groups based on the diagnostic criteria of the Chinese Medical Association (CDC). The progression-free survival (PFS) time was compared between various metabolic status. Meanwhile, we established an EC Prognostic-Related Metabolic Score (ECPRM Score) to explore the association of the severity of metabolic status and early-stage EEC PFS. A nomogram was established for predicting PFS, which was externally validated in a testing set that includes 296 patients.

Results

A partial metabolic disorder, as well as MetS, was an independent risk factor of poor survival of patients with early-stage EEC [hazard ratio (HR) = 7.6, 95% CI = 1.01–57.5, p < 0.05]. A high ECPRM Score was associated with lower PFS (HR = 2.1, 95% CI = 1.05–4.0, p < 0.001). The nomogram, in which the ECPRM Score contributed most to the prognosis, exhibited excellent discrimination of survival supported by the internal and external validations. In addition, the calibration curve supports its robust predicting ability.

Conclusion

Even though they do not meet the criteria of MetS, partial metabolic disorders were also associated with adverse outcomes in early-stage EEC. The ECPRM Score is beneficial for clinicians to evaluate the severity of metabolic abnormalities and guide patients to ameliorate the poor prognosis of metabolic disorders.