Development and validation of a prediction model for lymph node metastasis based on molecular typing in clinically early-stage endometrial carcinoma

By integrating molecular and preoperative clinical features, this model offers accurate LNM risk stratification for early-stage EC. It supports clinical decision-making and has been implemented as a user-friendly online tool. Further prospective multicenter validation is warranted.

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Publication Details

Journal
Journal of Gynecologic Oncology
Published
2025-09-16
DOI
https://doi.org/10.3802/jgo.2026.37.e19
Primary Topic
Endometrial and Cervical Cancer Treatments
Type
article
Field-Weighted Citation Impact
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article

Development and validation of a prediction model for lymph node metastasis based on molecular typing in clinically early-stage endometrial carcinoma

Jingni Xu, Ziyuan Yang, Yawen Zhang, Shuaixin Wang et al.
Journal of Gynecologic Oncology
Endometrial and Cervical Cancer Treatments
article

Development and validation of a prediction model for lymph node metastasis based on molecular typing in clinically early-stage endometrial carcinoma

Jingni Xu, Ziyuan Yang, Yawen Zhang, Shuaixin Wang, Beihua Kong, Helgi B. Schiöth, Yong Zhao, Zhaoyang Zhang, Zhuang Li, Yuan Zhang, Lingliya Tang, Quanhong Jiang, Ruifen Dong, Qiuyue Han
article en

Abstract

By integrating molecular and preoperative clinical features, this model offers accurate LNM risk stratification for early-stage EC. It supports clinical decision-making and has been implemented as a user-friendly online tool. Further prospective multicenter validation is warranted.

Journal of Gynecologic OncologyVol. 37(2)
Uppsala University (SE), Shandong University (CN), Qilu Hospital of Shandong University (CN)
Openalex Percentile: Top 70%
Endometrial and Cervical Cancer Treatments
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Development and validation of a prediction model for lymph node metastasis based on molecular typing in clinically early-stage endometrial carcinoma — Jingni Xu, Ziyuan Yang, et al. · Journal of Gynecologic Oncology (2025) | TGRS Research Map | TGRS