Prognostic-Related Metabolic Score for Survival Prediction in Early-Stage Endometrioid Endometrial Cancer: A Multi-Center and Retrospective Study.
Prognostic-Related Metabolic Score for Survival Prediction in Early-Stage Endometrioid Endometrial Cancer: A Multi-Center and Retrospective Study.
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早期子宫内膜类子宫内膜癌的生存预测的预后相关代谢评分:一项多中心和回顾性研究。
DOI:
10.3389/fmed.2022.830673
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发表时间:
2022
影响因子:
3.9
通讯作者:
中科院分区:
文献类型:
--
作者:
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. 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. 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. 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.
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影响因子:
16.2
作者:
Esposito K;Chiodini P;Colao A;Lenzi A;Giugliano D
通讯作者:
Giugliano D
影响因子:
4.2
作者:
He S;Fang X;Xia X;Hou T;Zhang T
通讯作者:
Zhang T
影响因子:
5.8
作者:
Lu, Jieli;Wang, Limin;Ning, Guang
通讯作者:
Ning, Guang
影响因子:
2.1
作者:
DeBoer, Mark D.;Gurka, Matthew J.
通讯作者:
Gurka, Matthew J.
影响因子:
9.8
作者:
Gurka, Matthew J.;Lilly, Christa L.;Oliver, M. Norman;DeBoer, Mark D.
通讯作者:
DeBoer, Mark D.