Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Risk Factors and Prognostic Nomogram for Early-onset Endometrial Cancer: A SEER-Based Analysis

Yunfeng Zheng
ORCID logo ,
Peng Jiang
,
Qingyu Shen
,
Yuan Tu
,
Yuzhen Huang
,
Jinyu Wang
,
Chenfan Tian
,
Shikai Gou
,
Rui Yuan
*
Version 1 : Received: 12 October 2023 / Approved: 12 October 2023 / Online: 13 October 2023 (03:02:06 CEST)

How to cite: Zheng, Y.; Jiang, P.; Shen, Q.; Tu, Y.; Huang, Y.; Wang, J.; Tian, C.; Gou, S.; Yuan, R. Risk Factors and Prognostic Nomogram for Early-onset Endometrial Cancer: A SEER-Based Analysis. Preprints 2023, 2023100810. https://doi.org/10.20944/preprints202310.0810.v1 Zheng, Y.; Jiang, P.; Shen, Q.; Tu, Y.; Huang, Y.; Wang, J.; Tian, C.; Gou, S.; Yuan, R. Risk Factors and Prognostic Nomogram for Early-onset Endometrial Cancer: A SEER-Based Analysis. Preprints 2023, 2023100810. https://doi.org/10.20944/preprints202310.0810.v1

Abstract

Background. This study aimed to establish a prognostic nomogram for predicting overall survival (OS) and cancer-specific survival (CSS) of patients with early-onset endometrial cancer (EOEC). Methods. Patients diagnosed with EOEC during 2004-2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox regression analyses were performed to ascertain the independent factors impacting the prognosis of EOEC patients, while a prognostic nomogram was established. Its performance was verified by the receiver operating characteristic (ROC) curves, and calibration plots. The prediction accuracy and clinical net benefit between the model, TNM stage and SEER stage were further compared by the concordance index (C-index) and decision curve analysis (DCA). Results. A total of 4415 eligible patients with EOEC were identified and enrolled in this study. Independent prognostic factors for OS and CSS were confirmed by multivariate Cox regression, which were further incorporated to constructed a nomogram. ROC curves and calibration curves indicated an optimal accuracy of the nomogram. Meanwhile, the C-index and DCA showed the predictive capability and the clinical applicability of the nomogram was superior over the TNM stage and SEER stage. Conclusions. Nomogram based on risk factors was developed as an individualized tool to predict OS and CSS for EOEC patients. The novel tool will assist in patient counseling and selection of appropriate therapeutic regimens.

Keywords

early-onset endometrial cancer; prognostic nomogram; overall survival; cancer-specific survival; SEER

Subject

Medicine and Pharmacology, Obstetrics and Gynaecology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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